KR20090016922A - Method for predicting danger state using danger management system - Google Patents
Method for predicting danger state using danger management system Download PDFInfo
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- KR20090016922A KR20090016922A KR1020070081262A KR20070081262A KR20090016922A KR 20090016922 A KR20090016922 A KR 20090016922A KR 1020070081262 A KR1020070081262 A KR 1020070081262A KR 20070081262 A KR20070081262 A KR 20070081262A KR 20090016922 A KR20090016922 A KR 20090016922A
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- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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- 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
- G06Q90/00—Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing
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Abstract
The present invention relates to a method for predicting the occurrence of risk in a risk management system, wherein the risk management system tracks the user's location, sets a limit for the predicted path of the user, sets the risk and safety area of the corresponding area, and the same population. By comparing and evaluating the selection frequency weight of the moving path and the moving path learning section of the user, it is possible to protect the user by quickly tracking the user by detecting the deviation of the path and predicting the occurrence of the threat.
Description
The present invention relates to a risk occurrence prediction method of a risk management system, and more particularly, to set a limit for a user's predicted path while moving a location of a user in a risk management system, and to determine a risk and a safe area of a corresponding area. The present invention relates to a method of predicting the occurrence of risk in a risk management system that predicts the occurrence of a risk by detecting a deviation of a path by detecting and evaluating a complex frequency of a selection frequency weight of a movement path of a same population and a learning path of a user.
In recent years, there has been a growing number of violent crimes against individuals such as kidnapping, kidnapping, robbery, and rape, especially when women are unable to call when they are in trouble at night, in a secluded place or in a running car. It is difficult.
Also, if you cannot call even in a traffic accident, fire, or distress, you may be in a situation where it is difficult to ask for help or get help from a professional.
On the other hand, when an infant is kidnapped, if the kidnapper does not contact, not only the situation can be grasped, but the whereabouts may occur.
Therefore, as a personal protection device for overcoming the above situation, there is temporary temporary suppression of criminals such as gas injector, electronic whistle, electric shock machine, etc., but it is not easy to carry personal protection device and also find a portable device in case of danger. There is a drawback that it is never easy to take out and spray or take over a force that is stronger than yourself.
Also, in case of intentional offenses, the criminals usually appear suddenly in the rear of the protected person and take down the protected person before the protected person perceives it.
In addition, the culprit who overpowered the protected person moves from the primary crime place to the secondary crime place in order to prevent the exposure of identity and free criminal behavior, so even if a witness who witnesses the crime reports on the telephone Subject and criminal have a problem that can not prevent the second offense already moved from the first offense to the second offense.
On the other hand, even if the location can be determined by the GPS receiver and the mobile phone, the mobile phone carried by the protected person in the primary crime place will be a device that can prevent the protected person from the crime if the cell phone is discarded by the criminal or the power is removed. There is no problem.
Therefore, in order to solve such a problem, the present invention has been filed by the present inventors with an application for a dangerous signal generating portable terminal and a risk management system using the same, which is filed on Aug. 07, 2006, application number 10-2006-0074425.
1 is a diagram illustrating a risk management system using a conventional risk signal generation terminal.
As shown here, the
Therefore, in case of a situation of distress, the user generates a signal of distress through a button, or a shock occurs, or when the
In order for the system to track the user's location and determine whether the user has left the path and take arbitrary actions to protect the user, it is necessary to accurately determine whether the user is in danger of being in danger by leaving the path. Not only can the loss be reduced, but the optimal management service can be provided to the user.
The present invention was created to provide the above needs, and an object of the present invention is to set a limit on a user's predicted route while moving a user's location in a risk management system, and a risk and safety area of the area. This study provides a method of predicting the occurrence of risk in the crisis management system that predicts the occurrence of the risk by detecting the deviation of the route by complexly evaluating the selection frequency weight of the movement route of the same population and the learning route of the user. .
In order to achieve the above object, the present invention provides a method of predicting occurrence of risk in a risk management system, wherein a predetermined range of movement limit intervals are set according to a movement route based on a current location according to a destination designation from a user's portable terminal and then separated. Confirming, specifying a safe zone for the surrounding area of the user's movement path and confirming the departure, and setting the movable path according to the frequency of selection of the movement path of the same population according to the gender and age of the user And confirming the departure, setting the movable route according to the frequency of the moving route for each destination of the user, and confirming the departure, and tracking the user's location to allow the user's location to move to the limit zone, the safety zone, and the movable location. Generating a level alarm when leaving at least one of the paths; If the safety check of the user or guardian has been made, it is characterized in that it comprises a step of releasing the level warning and generating a warning alarm if the safety check is not made.
Safe zone designation in the present invention is characterized by specifying by season, time zone, user type.
In the present invention, the movement limit section may be set to a blind spot corresponding to a vertex facing each of the current location and the destination according to the movement route of the user.
In the present invention, in order to generate a level alarm, it is characterized by setting an allowable range based on a moving limit section, a safety zone, an elapsed time that deviates from the movable path, and a deviating distance.
In the present invention, the elapsed time and distance according to the allowable range are set to be divided into day and night according to the moving speed.
At this time, the allowable range is set to 3 minutes and 50m during the day when the moving speed is less than 15Km per hour, 1 minute and 15m at night, and 3 minutes and 500m during the day when the speed is more than 15Km and 1 minute and 150m at night. It is characterized by setting.
In the present invention, the day is set to 07:00 ~ 20:00 and the night is set to 20:00 ~ 07:00.
In the present invention, when the safety check is made and the level alarm is released, it is repeated according to a new destination designation.
As described above, the present invention tracks the user's location in the risk management system, sets the travel path limit for the user's predicted path, sets the risk and the safe area of the corresponding area, and selects the weight of the travel path of the same population. Comparing and evaluating the user's moving path learning section, it is possible to protect the user by tracking the user in a short time by predicting the occurrence of misuse by detecting the deviation of the path.
Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings, and the same parts as in the prior art use the same reference numerals and names. In addition, the present embodiment is not intended to limit the scope of the present invention, but is presented by way of example only and those skilled in the art will be capable of many modifications within the technical spirit of the present invention.
2 is a flowchart illustrating a risk occurrence prediction method of the risk management system according to the present invention.
When a destination is designated from the user's
In this case, it is preferable to set the moving limit section as a blind spot corresponding to a vertex facing each of the current location and the destination according to the user's moving route.
In addition, as shown in FIG. 4, the safety zone for the surrounding area of the user's movement path is designated for each season, for each time zone, and for the user type, and the departure is confirmed (S14).
As shown in FIG. 4, the safety zone may be set by dividing into daytime (07:00 to 20:00) and nighttime (20:00 to 07:00).
In addition, as shown in FIG. 5, when the user selects a movement route according to the frequency of selection of the movement route for each time zone of the same population according to the user's gender and age, and determines the movement route having a low selection frequency, the departure is determined as the departure. (S16).
Also, as shown in FIG. 6, the learner sets a safe moving path as a safe zone according to the frequency of the frequently used moving paths according to the destinations of the user, that is, the home, work, school, and academy (S18). ).
While tracking the user's location as above, if the user's location is out of the movement limit section, out of the safe area, or out of the movable path, i.e., it will generate a level alarm (S20) (S24).
At this time, even if the deviation is set within the allowable range based on the elapsed time and the separated distance in the moving limit section, the safety zone and the movable route, the level alarm does not occur when the deviation is within the allowable range (S22).
In other words, the allowable range is divided into daytime (07: 00 ~ 20: 00) and nighttime (20: 00 ~ 07: 00) .If the user's moving speed is less than 15Km / h, set it within 50m within 3 minutes during the day and 1 at night. It should be set within 15m within a minute, and within 500m within 3 minutes during the day, and within 150m within 1 minute at night if the speed is over 15Km.
Therefore, even if you move away from the above limit zone, safety zone and the movable route, if you are walking on foot within 50 minutes during the day, the departure is not judged as a departure and does not generate a level alarm. In addition, when moving in a vehicle, departures within 500m within one minute during the day are not judged as departures and do not generate a quasi-level alarm.
If the deviation is confirmed while tracking the user's movement under the above conditions, it generates a level alarm (S24).
When the level alarm is generated, the level alarm is canceled when the user or guardian's safety is confirmed, such as confirming by the guardian's voice analysis, receiving a password, or calling a controller. (S28).
If the safety warning is made and the level alarm is released, the above process is repeated according to the new destination designation until the movement is completed through the new destination designation, tracking the user's location and confirming the departure.
However, if the safety check of the user or guardian is not made, the alarm is issued and the rescuer is dispatched by operating the rescue system (S30).
Figure 1 is a block diagram showing a risk management system using a distress signal generation terminal to which the present invention is applied.
2 is a flowchart illustrating a risk occurrence prediction method of the risk management system according to the present invention.
3 is a movement path tracking and prediction path limit setting according to the destination designation according to the present invention.
4 is an exemplary view showing a state in which a danger zone is set in the risk occurrence prediction method of the risk management system according to the present invention.
5 is an exemplary diagram illustrating a state in which a population path selection frequency weight is set in the risk occurrence prediction method of the risk management system according to the present invention.
6 is an exemplary view illustrating a state in which a user's movement path learning section is set in the risk occurrence prediction method of the risk management system according to the present invention.
-Explanation of symbols for the main parts of the drawings-
10: portable device for generating a signal of danger
20: mobile communication network
30: rescue terminal
40: user database
50: management control unit
Claims (8)
Priority Applications (1)
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KR1020070081262A KR20090016922A (en) | 2007-08-13 | 2007-08-13 | Method for predicting danger state using danger management system |
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KR1020070081262A KR20090016922A (en) | 2007-08-13 | 2007-08-13 | Method for predicting danger state using danger management system |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103578288A (en) * | 2013-11-13 | 2014-02-12 | 惠州Tcl移动通信有限公司 | Traffic safety reminding method, mobile terminal and traffic safety reminding system |
KR20140125261A (en) * | 2013-04-18 | 2014-10-28 | 에스케이텔레콤 주식회사 | Apparatus and method for providing safety management service based on context aware |
KR101596595B1 (en) | 2014-10-15 | 2016-02-22 | 주식회사 세중아이에스 | Danger management system, server and method |
KR101596594B1 (en) | 2014-10-15 | 2016-02-22 | 주식회사 세중아이에스 | Danger management system and method using location chase |
KR20170047940A (en) * | 2015-10-26 | 2017-05-08 | 에스케이텔레콤 주식회사 | Method and Apparatus for Determining Indoor Position and Counting People Using Tag and AP |
US9860821B2 (en) | 2015-01-27 | 2018-01-02 | Electronics And Telecommunications Research Institute | Method and apparatus for secure access controlling of terminal |
CN109360421A (en) * | 2018-11-28 | 2019-02-19 | 平安科技(深圳)有限公司 | A kind of traffic information predicting method and device, electric terminal based on machine learning |
-
2007
- 2007-08-13 KR KR1020070081262A patent/KR20090016922A/en not_active Application Discontinuation
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20140125261A (en) * | 2013-04-18 | 2014-10-28 | 에스케이텔레콤 주식회사 | Apparatus and method for providing safety management service based on context aware |
CN103578288A (en) * | 2013-11-13 | 2014-02-12 | 惠州Tcl移动通信有限公司 | Traffic safety reminding method, mobile terminal and traffic safety reminding system |
KR101596595B1 (en) | 2014-10-15 | 2016-02-22 | 주식회사 세중아이에스 | Danger management system, server and method |
KR101596594B1 (en) | 2014-10-15 | 2016-02-22 | 주식회사 세중아이에스 | Danger management system and method using location chase |
US9860821B2 (en) | 2015-01-27 | 2018-01-02 | Electronics And Telecommunications Research Institute | Method and apparatus for secure access controlling of terminal |
KR20170047940A (en) * | 2015-10-26 | 2017-05-08 | 에스케이텔레콤 주식회사 | Method and Apparatus for Determining Indoor Position and Counting People Using Tag and AP |
CN109360421A (en) * | 2018-11-28 | 2019-02-19 | 平安科技(深圳)有限公司 | A kind of traffic information predicting method and device, electric terminal based on machine learning |
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