CN108458718B - Traveling abnormity judgment system and method combining geographic characteristics - Google Patents
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Abstract
The invention discloses a system and a method for judging traveling abnormity by combining geographic characteristics. The system comprises a scene recognition module, a displacement and height change value calculation module, a traveling abnormity judgment module and a traveling abnormity display module in a map. The advancing abnormity judging module judges the advancing displacement abnormity or height change abnormity or position dynamic change abnormity. And setting different displacement threshold values L and height change threshold values H according to the characteristics of different scenes. Judging whether an abnormality occurs or not by calculating the size relationship between the displacement and height change values and the L and H of the scene where the current position is located; and calculating the maximum advancing radius r through the position data of N continuous moments, and judging whether the position dynamic change is abnormal or not. The method and the system solve the problems that the existing navigation is not combined with geographic characteristics and whether the travel of personnel or vehicles is abnormal or not cannot be judged.
Description
Technical Field
The invention belongs to the technical field of travel, and particularly relates to a travel abnormity judgment system and method combining geographic characteristics.
Background
People and vehicles travel on roads, some of which are normal roads such as highways, railways, etc., and some of which are abnormal roads such as tourist or scenic roads and rural roads, etc. The existing electronic navigation is mainly suitable for positioning and navigating normal roads, and is not combined with the geographic characteristics of the normal roads and abnormal roads for positioning and navigating. In order to ensure the safety of pedestrians and vehicles, the existing navigation technology needs to be combined with the geographic features of roads to judge whether the traveling of the pedestrians and vehicles is abnormal. Therefore, a travel anomaly determination scheme combining geographic features is needed.
Disclosure of Invention
The invention aims to solve the technical problems that the existing navigation is not combined with geographic characteristics and cannot judge whether the advancing of personnel or vehicles is abnormal, and provides a system and a method for judging the advancing abnormality by combining the geographic characteristics.
A positioning time interval T is set in advance, the position of a person or a vehicle is calculated regularly by means of the existing navigation technology, and position data are recorded, wherein the position data include, but are not limited to longitude and latitude and altitude coordinate values.
The person or vehicle is equipped with a mobile terminal with an installed map. In the map, different scenes are set in combination with geographic features, and the scenes include but are not limited to roads, bridges, tunnels, mountain roads, rivers and lakes, cable cars and the like. Different displacement threshold values L, height change threshold values H and times M of serious displacement abnormity are set in advance according to the characteristics of different scenes1And multiple of severe abnormalities of altitude change M2A travel radius threshold R.
A travel abnormity judgment system combined with geographic features comprises a scene identification module, a displacement and height change value calculation module, a travel abnormity judgment module and a travel abnormity display module in a map. Wherein the display travel anomaly module in the map is an optional module.
A scene recognition and displacement and height change value calculation module: reading position data of the current moment and the previous moment, and identifying a scene where the current moment is positioned according to map information; the displacement x (distance between adjacent position points) and the height change value h from the last time to the present time are calculated according to a commonly used method.
A module for judging abnormal advancing: and judging the abnormal displacement or height change or dynamic position change of the traveling vehicle according to the scene of the current time position.
Judging the displacement abnormity of the advancing: if x<L, judging that the displacement from the last moment to the current moment is not abnormal, wherein L is a displacement threshold of a scene where the current moment is located; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality.
Judging the abnormal height change during traveling: if h is<H, judging that no abnormity occurs in the altitude change from the previous moment to the current moment, wherein H is an altitude change threshold of the scene where the current moment position is located; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, and if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2And if not, judging that the altitude change from the previous moment to the current moment has no serious abnormality.
Judging the abnormal dynamic change of the advancing position: reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R and R is an advancing radius threshold of the scene where the current moment position is located, judging that the dynamic change of the position is abnormal, and otherwise, judging that the dynamic change of the position is not abnormal.
Displaying a travel anomaly in a map module: and displaying abnormal displacement or abnormal height change or abnormal position dynamic change by using a certain mark (such as a triangle, a pentagram and the like) in a map installed on the mobile terminal.
Fig. 1 and 2 show a block diagram of a travel anomaly determination system incorporating geographic features. The module for displaying the travel abnormality in the map is not included in fig. 1, and the module for displaying the travel abnormality in the map is included in fig. 2.
A method for judging abnormal traveling by combining geographic features is provided. The method comprises the following steps:
step 1, setting thresholds of different scenes.
In the map, different scenes are set in combination with geographic features, and the scenes include but are not limited to roads, bridges, tunnels, mountain roads, rivers and lakes, cable cars and the like. Different displacement threshold values L, different height change threshold values H and different times M of serious displacement abnormity are set in advance according to the characteristics of different scenes1And the multiple M of severe abnormalities of altitude changes2A travel radius threshold R.
And 2, identifying scenes and calculating displacement and height change values.
Reading position data of the current moment and the previous moment, and identifying a scene where the current moment is positioned according to map information; the displacement x (distance between adjacent position points) and the height change value h from the last time to the present time are calculated according to a commonly used method.
And step 3, judging abnormal advancing.
And judging the abnormal displacement or height change or dynamic position change of the traveling vehicle according to the scene of the current time position. And judging whether the traveling is abnormal by any one, two or three of the steps 3.1, 3.2 and 3.3.
And 3.1, judging the abnormal displacement during advancing.
If x<L，Judging that the displacement from the previous moment to the current moment is not abnormal, wherein L is a displacement threshold of a scene where the current moment is located; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality.
And 3.2, judging that the height change of the advancing is abnormal.
If h<H, judging that no abnormity occurs in the altitude change from the previous moment to the current moment, wherein H is an altitude change threshold of the scene where the current moment position is located; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, and if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2And if not, judging that the altitude change from the previous moment to the current moment has no serious abnormality.
And 3.3, judging that the dynamic change of the advancing position is abnormal.
Reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R and R is an advancing radius threshold of the scene where the current moment position is located, judging that the dynamic change of the position is abnormal, and otherwise, judging that the dynamic change of the position is not abnormal.
And 4, displaying the abnormal traveling in the map. (optional step)
And displaying abnormal displacement or abnormal height change or abnormal position dynamic change by using a certain mark (such as a triangle, a pentagram and the like) in a map installed on the mobile terminal.
A flowchart of a travel abnormality determination method in combination with geographic features is shown in fig. 3. Fig. 3 does not include step 4 (optional step). Fig. 4 is a flowchart of step 3.1, fig. 5 is a flowchart of step 3.2, fig. 6 is a flowchart of step 3.3, and the flowcharts shown in fig. 4, fig. 5, and fig. 6 start after step 2 is completed.
The system and the method of the invention have the following advantages:
(1) and combining the positioning technology with the geographic features, and identifying the scene according to the map information.
(2) Whether the person or the vehicle is abnormal in the process of traveling is judged, and basis is provided for monitoring the safety of the person or the vehicle.
Description of the drawings:
FIG. 1 is a block diagram of a travel anomaly determination system incorporating geographic features of the present invention that does not include optional modules;
FIG. 2 is a block diagram of a travel anomaly determination system incorporating geographic features including optional modules in accordance with the present invention;
FIG. 3 is a flow chart of a travel anomaly determination method incorporating geographic features in accordance with the present invention;
FIG. 4 is a flow chart of step 3.1 of the travel anomaly determination method in conjunction with geographic features of the present invention;
FIG. 5 is a flow chart of step 3.2 of the travel anomaly determination method in conjunction with geographic features of the present invention;
fig. 6 is a flowchart of step 3.3 of the travel anomaly determination method in combination with geographic features according to the present invention.
Detailed Description
The present invention will be described in detail with reference to specific embodiments.
The method is suitable for judging the abnormal traveling of various people and vehicles on the road. Particularly, in tourist attractions or scenic spots (hereinafter referred to as scenic spots), the geographic features are complex, and most scenic spot roads are abnormal roads, such as mountainous roads, bridges, holes and the like. In order to ensure the safety of pedestrians and vehicles in a scenic spot, the existing navigation technology needs to be combined with geographic features to judge whether the traveling of the pedestrians and the vehicles is abnormal. The embodiment of the invention judges the abnormal advancing of the personnel and the vehicles in the scenic area.
Setting a positioning time interval T in advance, calculating the position of a person or a vehicle at regular time according to the existing navigation technology and recording position data, wherein the position data comprises latitude and longitude and altitude coordinate values. In this embodiment, the positioning time interval T is set to 1 second, the position of the person is calculated according to the existing navigation technology, and the position data is recorded as longitude and latitude and altitude coordinate values.
The person or vehicle is equipped with a mobile terminal with an installed map. In the map, different scenes are set in combination with geographic features, and the scenes include but are not limited to roads, bridges, tunnels, mountain roads, rivers and lakes, cable cars and the like. Different displacement threshold values L, different height change threshold values H and different times M of serious displacement abnormity are set in advance according to the characteristics of different scenes1And multiple of severe abnormalities of altitude change M2A travel radius threshold R. In this embodiment, a person or a vehicle is equipped with a mobile terminal on which a scenic spot map is installed. In the scenic spot map, different scenes including mountain roads, bridges and the like are set by combining the geographical features of the scenic spots. The scene is mountain road displacement threshold L of 10M, height change threshold H of 5M, and multiple of serious abnormality M1＝M22, the threshold value of the advancing radius R is 1.5 m; when the scene is a bridge, the displacement threshold L is 5 meters, the height change threshold H is 1 meter, and the multiple M of serious abnormity1＝M2And 2, the travel radius threshold value R is 1 meter.
A travel abnormity judgment system combined with geographic features comprises a scene identification module, a displacement and height change value calculation module, a travel abnormity judgment module and a travel abnormity display module in a map. Wherein the display travel anomaly module in the map is an optional module.
A scene recognition and displacement and height change value calculation module: reading position data of the current moment and the previous moment, and identifying a scene where the current moment is positioned according to map information; the displacement x (distance between adjacent position points) and the height change value h from the last time to the present time are calculated according to a commonly used method. In the embodiment, the longitude, latitude and altitude coordinate values at a certain moment are calculated by adopting a GPS positioning technology (east longitude 121.04 degrees, north latitude 28.322 degrees and 50 meters); reading the position data of the previous moment as (east longitude 121.0401 degrees, north latitude 28.322 degrees and 48.9 meters), judging the scenic spot scene where the position of the current moment is located as a mountain road according to scenic spot map information, and calculating the displacement x from the previous moment to the current moment as 2.28 meters and the height change value h as 50-48.9 as 1.1 meters according to a common longitude and latitude coordinate calculation method.
A module for judging abnormal advancing: and judging the abnormal displacement or height change or dynamic position change of the traveling vehicle according to the scene of the current time position. In this embodiment, both the displacement abnormality, the height change abnormality, and the position dynamic change abnormality of the traveling are determined.
Judging the displacement abnormity of the advancing: if x<L, judging that the displacement from the last moment to the current moment is not abnormal, wherein the L is a displacement threshold of a scene where the current moment is located; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality. In this embodiment, x is 2.28<And if L is 10, judging that the displacement from the previous moment to the current moment has no abnormality.
Judging the abnormal height change during traveling: if h is<H, judging that no abnormity occurs in the altitude change from the previous moment to the current moment, wherein H is an altitude change threshold of the scene where the current moment position is located; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, and if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2And if not, judging that the altitude change from the previous moment to the current moment has no serious abnormality. In the present example, h is 1.1<And H is 3, judging that the altitude change from the previous moment to the current moment has no abnormality.
Judging the abnormal dynamic change of the advancing position: reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R and R is an advancing radius threshold of the scene where the current moment position is located, judging that the dynamic change of the position is abnormal, and otherwise, judging that the dynamic change of the position is not abnormal. In this embodiment, if N is 3600, the position data of the first N consecutive times are read, the maximum travel radius R is calculated from the position data of the first 3600 consecutive times, and if the maximum distance between any two time positions is 3.5 meters, then R is 3.5/2 is 1.75 meters, and if R > R is 1.5 meters, then it is determined that there is no abnormality in the dynamic change of the position.
Displaying a travel anomaly in a map module: and displaying abnormal displacement or abnormal height change or abnormal position dynamic change by using a certain mark (such as a triangle, a pentagram and the like) in a map installed on the mobile terminal. In this embodiment, no displacement abnormality, no height change abnormality, or no position dynamic change abnormality occurs at the current moment, and no abnormality is displayed in the scenic spot map of the mobile terminal.
A method for judging abnormal traveling by combining geographic features is provided. The method comprises the following steps:
step 1, setting thresholds of different scenes.
In the map, different scenes are set in combination with geographic features, and the scenes include but are not limited to roads, bridges, tunnels, mountain roads, rivers and lakes, cable cars and the like. Different displacement threshold values L, different height change threshold values H and different times M of serious displacement abnormity are set in advance according to the characteristics of different scenes1And the multiple M of severe abnormalities of altitude changes2A travel radius threshold R. In the embodiment, different scenes including mountain roads, bridges and the like are set in the scenic spot map by combining with the geographical features of the scenic spot. The scene is mountain road displacement threshold L is 10M, height change threshold H is 5M, and multiple M of serious abnormity1＝M22, the threshold value of the advancing radius R is 1.5 m; when the scene is a bridge, the displacement threshold L is 5M, the height change threshold H is 1M, and the multiple M of serious abnormity1＝M2And 2, the travel radius threshold value R is 1 meter.
And 2, identifying scenes and calculating displacement and height change values.
Reading position data of the current moment and the previous moment, and identifying a scene where the current moment is positioned according to map information; the displacement x (distance between adjacent position points) and the height change value h from the last time to the present time are calculated according to a commonly used method. In the embodiment, the longitude, latitude and altitude coordinate values at a certain moment are calculated by adopting a GPS positioning technology (the east longitude 121.04 degrees, the north latitude 28.322 degrees and 50 meters); reading the position data of the previous moment as (east longitude 121.0401 degrees, north latitude 28.322 degrees and 48.9 meters), judging the scenic spot scene where the position of the current moment is located as a mountain road according to scenic spot map information, and calculating the displacement x from the previous moment to the current moment as 2.28 meters and the height change value h as 50-48.9 as 1.1 meters according to a common longitude and latitude coordinate calculation method.
And step 3, judging abnormal advancing.
And judging the abnormal displacement or height change or dynamic position change of the traveling vehicle according to the scene of the current time position. And judging whether the traveling is abnormal by any one, two or three of the steps 3.1, 3.2 and 3.3. In this embodiment, both the displacement abnormality, the height change abnormality, and the position dynamic change abnormality of the traveling are determined.
And 3.1, judging the abnormal displacement during advancing.
If x<L, judging that the displacement from the last moment to the current moment is not abnormal, wherein the L is a displacement threshold of a scene where the current moment is located; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality. In this example, x is 2.28<And if L is 10, judging that the displacement from the previous moment to the current moment has no abnormality.
And 3.2, judging that the height change of the advancing is abnormal.
If h<H, judging that no abnormity occurs in the altitude change from the previous moment to the current moment, wherein H is an altitude change threshold of the scene where the current moment position is located; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2The height change of the scene where the position of the current moment is in is a serious abnormal multiple, otherwise, the height change is judged from the previous moment to the current momentNo serious abnormalities occurred in the altitude change. In the present example, h is 1.1<And H is 3, judging that the altitude change from the previous moment to the current moment has no abnormality.
And 3.3, judging that the dynamic change of the advancing position is abnormal.
Reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R and R is an advancing radius threshold of the scene where the current moment position is located, judging that the dynamic change of the position is abnormal, and otherwise, judging that the dynamic change of the position is not abnormal. In this embodiment, if N is 3600, the position data of the first N consecutive times are read, the maximum travel radius R is calculated from the position data of the first 3600 consecutive times, and if the maximum distance between any two time positions is 3.5 meters, then R is 3.5/2 is 1.75 meters, and if R > R is 1.5 meters, then it is determined that there is no abnormality in the dynamic change of the position.
And 4, displaying the abnormal traveling in the map. (optional step)
And displaying abnormal displacement or abnormal height change or abnormal position dynamic change by using a certain mark (such as a triangle, a pentagram and the like) in a map installed on the mobile terminal. In this embodiment, no displacement abnormality, no height change abnormality, or no position dynamic change abnormality occurs at the current time, and no abnormality is displayed in the scenic spot map of the mobile terminal.
Of course, those skilled in the art should realize that the above embodiments are only used for illustrating the present invention, and not as a limitation of the present invention, and that changes and modifications to the above embodiments are within the scope of the present invention.
Claims (9)
1. A travel abnormity judgment system combined with geographic features is characterized by comprising a scene identification module, a displacement and height change value calculation module and a travel abnormity judgment module;
the scene recognition and displacement and height change value calculation module comprises: reading position data of the current moment and the previous moment, and identifying a scene where the current moment is positioned according to map information; calculating the displacement x and the height change value h from the previous moment to the current moment;
the module for judging abnormal advancing: judging the dynamic change abnormity of the advancing position according to the scene of the current time position; the judging that the dynamic change of the traveling position is abnormal comprises the following steps: reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R, and R is an advancing radius threshold value which is set in advance according to the characteristics of different scenes, judging that the position dynamic change is abnormal, and otherwise, judging that the position dynamic change is not abnormal.
2. The system for determining travel abnormality according to claim 1, wherein the module for determining travel abnormality is characterized in that the module for determining travel abnormality is configured to determine travel displacement abnormality: if x<L, judging that the displacement from the last moment to the current moment is not abnormal, wherein L is a displacement threshold value set in advance; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality.
3. The system for determining travel anomaly according to the geographic characteristics, as claimed in claim 1, wherein the module for determining travel anomaly is characterized in that the module for determining travel anomaly in height variation is: if h<H, judging that the altitude change from the previous moment to the current moment is not abnormal, wherein H is a preset altitude change threshold; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, and if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2The altitude change is a preset altitude change serious abnormal multiple, otherwise, the altitude change from the previous moment to the current moment is judged to have no serious abnormality.
4. The system for determining travel abnormality according to any one of claims 1 to 3 in combination with a geographic feature, further comprising a module for displaying an abnormality in a map: and displaying the displacement abnormity or the height change abnormity or the position dynamic change abnormity in a map of the mobile terminal.
5. The system according to claim 2, wherein the different displacement thresholds L and the multiple M of severe displacement anomaly are set in advance according to the characteristics of different scenes1。
6. The system according to claim 3, wherein the altitude change threshold H and the multiple M of severe altitude change anomalies are set in advance according to the characteristics of different scenes2。
7. A travel abnormity judgment method combined with geographic characteristics is characterized by comprising the following steps:
step 1, setting different scenes in a map by combining geographic features; setting different displacement threshold values L, height change threshold values H and multiple M of serious displacement abnormity according to the characteristics of different scenes1And multiple of severe abnormalities of altitude change M2A travel radius threshold R;
step 2, reading position data of the current moment and the previous moment, and identifying the scene of the current moment position according to the map information; calculating the displacement x and the height change value h from the previous moment to the current moment;
step 3, judging abnormal advancing: judging the dynamic change abnormity of the advancing position according to the scene of the current time position; the judging that the dynamic change of the traveling position is abnormal comprises the following steps: reading position data of the first N continuous moments, wherein N is a positive integer; and calculating the maximum advancing radius R according to the position data of the previous N continuous moments, if R is less than R and R is an advancing radius threshold of the scene where the current moment position is located, judging that the dynamic change of the position is abnormal, and otherwise, judging that the dynamic change of the position is not abnormal.
8. The method for determining travel abnormality according to claim 7, wherein the step 3 is characterized in that the travel abnormality is determined by: if x<L, judging that the displacement from the last moment to the current moment is not abnormal, wherein the L is the maximum displacement threshold of the scene where the current moment position is located; otherwise, judging that the displacement from the last moment to the current moment is abnormal, and if x is the abnormal displacement>M1L, judging that the displacement from the previous moment to the current moment is seriously abnormal, M1And if not, judging that the displacement from the previous moment to the current moment has no serious abnormality.
9. The method for determining abnormality in traveling according to claim 7, wherein the step 3 is characterized in that it determines abnormality in height change of traveling: if h<H, judging that no abnormity occurs in the altitude change from the previous moment to the current moment, wherein H is the maximum altitude change threshold of the scene where the current moment position is located; otherwise, judging that the altitude change from the last moment to the current moment is abnormal, and if h>M2H, judging that the altitude change from the previous moment to the current moment is seriously abnormal, M2And if not, judging that the altitude change from the previous moment to the current moment has no serious abnormality.
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| US6115668A (en) * | 1997-03-07 | 2000-09-05 | Pioneer Electronic Corporation | Navigation apparatus for detecting a present position of a moveable body |
| FR2872329B1 (en) * | 2004-06-25 | 2006-08-04 | Jean Duffau | INTRUSION ALARM IN A SPACE- ANY CONTOUR PLAN SUITABLE FOR PRIVATE POOLS |
| CN100428286C (en) * | 2004-12-10 | 2008-10-22 | 私立逢甲大学 | Moving carrier tracking management system |
| CN101819272B (en) * | 2009-02-26 | 2012-07-04 | 佛山市顺德区汉达精密电子科技有限公司 | Attention device for responding to height difference and method thereof |
| CN102156983B (en) * | 2011-03-31 | 2013-03-20 | 上海交通大学 | Pattern recognition and target tracking based method for detecting abnormal pedestrian positions |
| CN104596500B (en) * | 2014-08-28 | 2018-06-08 | 腾讯科技（深圳）有限公司 | A kind of air navigation aid, device and terminal |
| US20160362048A1 (en) * | 2015-06-09 | 2016-12-15 | AWARE 360 Ltd. | Self-monitoring of vehicles in a convoy |
| CN107025248B (en) * | 2016-02-02 | 2019-06-25 | 北京骄阳星天纪网络科技有限公司 | A kind of map location editor orientation system based on parent-offspring's safety |
| JP2017166897A (en) * | 2016-03-15 | 2017-09-21 | オムロン株式会社 | Object detection system, abnormality determination method, and program |
| CN106772513A (en) * | 2016-12-16 | 2017-05-31 | 中国航天***工程有限公司 | A kind of tourist security managing device and system based on the Big Dipper |
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