KR102006688B1 - System and method for sharing security information based on area - Google Patents

Abstract

Provided is a crime prevention information sharing system for each region, which comprises: an information processing unit including a region selection portion selecting a specific region and a crime safety level calculation portion calculating a crime safety level for specific region; a sensor unit disposed on the specific region to collect data required to calculate the crime safety level; and an image display device displaying the crime safety level transmitted from the crime safety level calculation portion for each time and region.

Description

Security information sharing system and method by area {SYSTEM AND METHOD FOR SHARING SECURITY INFORMATION BASED ON AREA}

The present invention relates to an area-specific security information sharing system and a method of sharing the same. In more detail, the present invention is a crime prevention information sharing system for each participant, and a method thereof, which calculates a crime safety level for each area, provides information about the crime safety, and actively prevents a crime with reference to the provided crime safety level.

In general, crime occurs a lot in rare places. In particular, the recent serial issues of serial murders in western Suwon and Sinjeong-dong serial murders had a great impact on society by selecting crime targets on rare roadsides or in quiet alleyways.

As a result, awareness of safe streets has increased in recent years, and many efforts have been made to strengthen patrols and create autonomous security guards to create safe streets. As a technical effort for this, a method of increasing the safety of the street is being implemented by notifying that the street is being photographed using a security CCTV.

Increasing the safety of the streets using crime-proof CCTVs is a way to prevent criminals from avoiding areas where crime-proof CCTVs are installed.In the early days, it was very effective for crime prevention.However, CCTV uses video, which limits the resolution and blind spots. There is a situation that can be avoided by covering the face, such as crime is gradually increasing.

In addition, crime prevention CCTV is difficult to share in real-time when a crime occurs because the crime does not operate differently, a separate report is required, even if the call to 112 is late or difficult to accurately identify the location of the crime. Therefore, there is a problem that citizens additionally enter the area where crime has already occurred and they are a victim of crime or waste valuable time for the police to find the location of the crime. The desire to do is exploding.

In order to solve this problem, as in the Republic of Korea Patent Publication No. 10-2011-0042677, by using a sensor on the CCTV to increase the illuminance at the time of shooting to solve the resolution problem, or by additionally attaching a warning part to effectively utilize CCTV The technologies for developing the system are being developed, but the problem of real-time sharing of CCTV is not solved.

Korean Laid-Open Patent Publication No. 10-2011-0042677 (2011.04.27)

Therefore, the technical problem of the present invention was conceived in this respect, the object of the present invention is to calculate the crime safety level by time and area from the sensing value measured by the sensor unit provides information on it and reflects the feedback received from the user It is to provide a crime prevention information sharing system for each area that provides reliable real-time crime safety information.

In addition, another object of the present invention is to calculate the crime safety by time and area from the sensing value measured by the sensor unit provides information about it and by area by providing more reliable real-time crime safety information by reflecting feedback received from the user It is to provide a way to share security information.

The area-specific security information sharing system for realizing the above object of the present invention includes an information processing unit including an area selecting unit for selecting a specific area and a crime safety degree calculating unit for calculating a crime safety level for each specific area, and arranged in the specific area. And a sensor unit for collecting data necessary for calculating the crime safety degree, and an image display device for displaying the crime safety degree received by the crime safety degree calculation unit by time and area.

In one embodiment of the present invention, the sensor unit includes an illumination sensor, an acoustic sensor, and a human body sensor, and the crime safety calculator calculates safety data collected by the illumination sensor, the acoustic sensor, and the human body sensor. The crime safety degree may be calculated by converting the preprocessing function, and the safety preprocessing function may be calculated using the following equation.

here,

,

,

는 상기 안전도 전처리 함수,

는 시간,

은 상기 특정 영역,

는 상기 조도센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 음향센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 인체감지센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

은 상기 특정 영역별 위험 인구 기준값임.

Is the safety pretreatment function,

Time,

Is the specific area,

Is the specific area and time-specific data measured by the illuminance sensor,

Is the specific area and time data measured by the acoustic sensor,

The specific area and time data measured by the human body sensor,

Is the risk population baseline for the specific area.

In one embodiment of the present invention, the crime safety degree may be calculated using the following equation.

는 상기 범죄 안전도,

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수임.here,

Said crime safety degree,

Time,

Is the specific area,

Is the safety pretreatment function.

In one embodiment of the present invention, further comprising a risk report receiving unit for receiving a risk report for each specific area, the image display device displays the number of risk reports received for each specific area and time, the information processing unit The crime safety degree may further include the crime safety degree property retrieval by the following formula.

)(If N = 0

)

는 시간,

은 상기 특정 영역,

는 상기 재산출된 범죄 안전도,

는 상기 센서부가 수집한 데이터로부터 산출된 상기 범죄 안전도,

은 상기 특정 영역별 평균 유동인구이고,

는 상기 특정 영역별 위험 보고 건수임.here,

Time,

Is the specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit,

Is the average flow population by the specific region,

Is the number of risk reports per specific area.

In one embodiment of the present invention, the risk report receiving unit receives the risk report from a mobile communication device or an information processing device connected to an external network, the selection of the area where the risk report is generated is the mobile communication device or information processing The location information of the device or the area information input by the user of the mobile communication device may be referred to.

In an embodiment of the present disclosure, the information processing unit may further include a crime safety association calculation unit configured to update the crime safety degree by calculating a correlation between the crime safety of a specific area and the crime safety degree of an area adjacent to the area. have.

In one embodiment of the present invention, the image display device may display the crime safety degree with a map for each region.

In one embodiment of the present invention, the image display device may display the crime safety degree as a change history over time.

In one embodiment of the present invention, the image display apparatus is a public display, and the information processing unit may be an information processing apparatus disposed around or included in the public display.

In one embodiment of the present invention, the image display device may be a mobile communication device including an image display unit.

According to the method of sharing security information for each region for realizing the object of the present invention, the step of selecting a specific region by a region selecting unit, collecting data in the specific region by a sensor unit, and a crime safety calculator calculating the sensor by each specific region The method may include calculating a crime safety level by using the additionally collected data, and displaying the crime safety level by the specific region by the image display device.

In one embodiment of the present invention, the sensor unit includes an illuminance sensor, an acoustic sensor and a human body sensor, and the step of calculating the crime safety level comprises the data collected by the illuminance sensor, the acoustic sensor, and the human body sensor. The method may further include converting the safety preprocessing function, and the safety preprocessing function may be calculated using the following equation.

here,

,

,

는 상기 안전도 전처리 함수,

는 시간,

은 상기 특정 영역,

는 상기 조도센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 음향센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 인체감지센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

은 상기 특정 영역별 위험 인구 기준값임.

Is the safety pretreatment function,

Time,

Is the specific area,

Is the specific area and time-specific data measured by the illuminance sensor,

Is the specific area and time data measured by the acoustic sensor,

The specific area and time data measured by the human body sensor,

Is the risk population baseline for the specific area.

In one embodiment of the present invention, the crime safety degree may be calculated using the following equation.

는 상기 범죄 안전도,

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수임.here,

Said crime safety degree,

Time,

Is the specific area,

Is the safety pretreatment function.

In one embodiment of the present invention, the risk report receiving unit receives a risk report for each specific area, the image display device displays the risk report and the crime safety property property reflects the risk report to reflect the crime The method may further include recalculating the degree of safety, and the reinstated crime safety may be calculated by the following equation.

)(If N = 0

)

는 시간,

은 상기 특정 영역,

는 상기 재산출된 범죄 안전도,

는 상기 센서부가 수집한 데이터로부터 산출된 상기 범죄 안전도,

은 상기 특정 영역별 평균 유동인구이고,

는 상기 특정 영역별 위험 보고 건수임.here,

Time,

Is the specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit,

Is the average flow population by the specific region,

Is the number of risk reports per specific area.

In one embodiment of the present invention, the step of receiving the risk report further comprises the step of selecting the area where the risk report occurs, the risk report is received from a mobile communication device or an information processing device, the risk report The selection of the generated area may be selected by referring to the location information of the mobile communication device or the information processing device or the area information input by the user of the mobile communication device.

In an embodiment of the present disclosure, the crime safety degree association calculator may further include updating the crime safety degree by calculating a correlation between the crime safety degree in a specific area and the crime safety degree in an area adjacent to the area.

In one embodiment of the present invention, the crime safety level may be displayed with a map for each area.

In one embodiment of the present invention, the crime safety degree may be displayed as a change history over time.

According to embodiments of the present invention, an area-specific security information sharing system and method includes a sensor unit, a crime safety calculator, an image display device, and a risk report receiving unit. Therefore, the crime safety degree may be calculated for each time and region from the sensing value measured by the sensor unit, and information about the crime safety may be provided in real time. As a result, the user can check the real-time crime safety level or the history of crime safety by area and actively use it to prevent crime, and prevent the occurrence of additional victims caused by people entering the crime occurrence area during crime occurrence. There is an effect that the personnel can check the crime occurrence area to move quickly to the crime occurrence area.

In addition, it is possible to provide more reliable safety information in real time by reflecting the feedback received from the user for each area.

1 is a block diagram showing a security information sharing system for each area according to an embodiment of the present invention.
2 is a block diagram showing an information processing unit of an area-specific security information sharing system according to an embodiment of the present invention.
3 is a block diagram illustrating a sensor unit of an area-specific security information sharing system according to an exemplary embodiment of the present invention.
4 is a flowchart illustrating a method for sharing security information for each area according to an embodiment of the present invention.
5 is a flowchart illustrating a step of converting the security information pre-processing function of the area-specific crime prevention information sharing method according to an embodiment of the present invention.
6 is a flowchart illustrating a step of receiving a risk report of an area-specific security information sharing method according to an embodiment of the present invention.
7 is a flowchart illustrating a step of selecting an area where a risk report has occurred in a method for sharing security information for each area according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating an example of selecting a specific region of an area-specific security information sharing system and method according to an embodiment of the present invention.
9 is a diagram illustrating an example of use of a security information sharing system and method for each area according to an embodiment of the present invention.

While the present 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 limited to the disclosed embodiments. It is to be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but on the contrary, is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing. The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms.

The terms are used only for the purpose of distinguishing one component from another. The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise.

In the present application, the term "comprises" or "comprising ", etc. is intended to specify that there is a stated feature, figure, step, operation, component, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a block diagram showing a security information sharing system for each area according to an embodiment of the present invention. 2 is a block diagram showing an information processing unit of an area-specific security information sharing system according to an embodiment of the present invention. 3 is a block diagram illustrating a sensor unit of an area-specific security information sharing system according to an exemplary embodiment of the present invention.

1 to 3, an area-specific security information sharing system according to an embodiment of the present invention includes an information processing unit 100, a sensor unit 200, an image display device 300, and a risk report receiving unit 400. Include.

The sensor unit 200 may be installed for each area. The sensor unit 200 may be installed for each specific region selected by the region selecting unit 110 of the information processing unit 100. One or more sensor units 200 may be installed in one specific area. The sensor unit 200 may be disposed alone or attached to a street lamp or a wall.

The sensor unit 200 may collect data necessary for calculating the crime safety level. The sensor unit 200 may collect data for each specific region and time. The data necessary for calculating the crime safety degree collected by the sensor unit 200 may be data related to state information of the specific area. For example, the state information of the specific region may be data related to illuminance, sound volume, and population number.

 The sensor unit 200 may include various types of sensors. The sensor unit 200 may include an illuminance sensor 201, an acoustic sensor 202, or a human body sensor 203.

The illuminance sensor 201 may measure illuminance of the specific area. For example, the illuminance sensor 201 may calculate data by measuring illuminance of the specific area in units of lux. For example, the specific area is an alley of a residential area and a plurality of the illumination sensor 201 is disposed in the alley, and the crime safety level calculator 120 is configured to include all the illumination sensors 201 disposed in the alley area. The safety level can be calculated by calculating the average value of the collected data. For example, when the illuminance value which is data collected by the illuminance sensor 201 is high, the crime safety degree may be high.

The acoustic sensor 202 may measure the noise level of the specific area. For example, the acoustic sensor 202 may calculate a sensing value by measuring the noise of the specific region in dB units. For example, the specific area is an alley of a residential area, and a plurality of acoustic sensors 202 are disposed in the alley, and the crime safety calculator 120 is configured for all the acoustic sensors 202 disposed in the alley area. Calculate the average value of the data

 The safety level can be calculated. For example, if the loudness value, which is data collected by the acoustic sensor 202, is high, the crime safety level may be high.

The human body sensor 203 may measure the population of the specific region. The human body sensor 203 may measure the flow population of the specific region. The human body sensor 203 may include an ultrasonic sensor, a thermal sensor, an infrared sensor, a weight sensor, or a camera. For example, the human body sensor 203 may be installed in the entrance and exit of the specific area to measure the number of floating population. For example, the human body sensor 203 is a number, and installed so that the measurable section of the previous human body sensor 203 and the measurable section of the next human body sensor 203 is connected to measure the flow of the population. can do.

The information processing unit 100 may calculate crime safety level for each area. The information processing unit 100 may calculate the degree of crime safety by real time, time, and date. For example, the crime safety level may be calculated every 10 minutes.

The information processing unit 100 may include an area selecting unit 110, a crime safety degree calculating unit 120, a crime safety degree asset output unit 130, and a crime safety degree association calculating unit 140.

The area selector 110 may select a specific area. For example, the area may be designated as a road, a sidewalk, a radius, an access road, an entrance, an exit, or a user-designated area. The specific area may be selected according to the geographical feature. For example, the area may be divided and selected based on the highest point of the uphill.

The area selector 110 may select a plurality of specific areas. The specific areas may be numbered. Specific regions adjacent to one of the specific regions may be numbered with consecutive numbers. For example, the one specific region is region 1, and the specific regions adjacent to the one specific region may be numbered 2, 3, 4, etc. clockwise from the upper left side. For example, the one specific region may be sequentially numbered with adjacent specific regions using a one-dimensional chain type organic association model.

The crime safety calculator 120 may calculate crime safety for each specific area. The crime safety degree may be a value indicating whether the specific area is an environment in which crime is unlikely to occur. The crime safety level may be calculated for each specific area, time, and date. The crime safety level may be calculated from data necessary for calculating the crime safety level collected by the sensor unit 200.

 The crime safety level may be variously calculated from a combination of data collected by the sensor unit 200. For example, the data required for calculating the crime safety degree collected by the sensor unit 200 is illuminance, and when the illuminance is high, the crime safety degree may be high. For example, the data required for calculating the crime safety level collected by the sensor unit 200 may be a loud sound, and if the loud sound is large, the crime safety may be high. For example, the data necessary for calculating the crime safety degree collected by the sensor unit 200 is a population number, and the crime safety degree may be lowered or increased according to the population number. For example, the sensor unit 200 is a plurality, the data necessary for calculating the collected crime safety degree of the sensor unit 200 is the illuminance, the loudness and the number of population in the specific area and the crime safety degree is the illuminance, It can be calculated from a combination of measurements of loudness and population number.

The crime safety calculator 120 may preprocess data necessary for calculating the crime safety degree collected by the sensor unit 200. For example, the data necessary for calculating the crime safety level collected by the sensor unit 200 may be converted into a conversion value of a specific range.

The crime safety level may be calculated from data necessary for calculating the crime safety level collected by the illuminance sensor 201, the acoustic sensor 202, and the human body sensor 203 of the sensor unit 200.

The crime safety calculator 120 may calculate the crime safety by converting data collected by the illuminance sensor 201, the acoustic sensor 202, and the human body sensor 203 into a safety preprocessing function. have. The safety preprocessing function may be calculated using the following equation.

,

는 시간,

은 상기 특정 영역,

는 상기 조도센서(201)에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 음향센서(202)에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 인체감지센서(203)에서 측정된 상기 특정 영역별 및 시간별 데이터,

은 상기 특정 영역별 위험 인구 기준값일 수 있다.here,

,

Time,

Is the specific area,

Is the specific area and time-specific data measured by the light sensor 201,

Is the specific area and time-specific data measured by the acoustic sensor 202,

The specific area and time-specific data measured by the human body sensor 203,

May be a risk population reference value for each specific region.

The safety preprocessing function may represent an association between data collected by the sensor units 200. For example, the illuminance data measured by the illuminance sensor 201 and the sound data measured by the acoustic sensor 202 may be in inverse proportion. For example, the illuminance data measured by the illuminance sensor 201 or the sound data measured by the acoustic sensor 202 may be measured according to the range of the human body sensing data and the human body sensing data measured by the human body sensor 203. It may be a proportional relationship or a reciprocal relationship. The result value of the safety preprocessing function may be smaller as the value of the data collected by the illuminance sensor 201 is larger and the value of the data collected by the acoustic sensor 202 is larger. In addition, the result value of the safety preprocessing function may be smaller or larger depending on a range of values of data collected by the human body sensor 203.

The dangerous population reference value for each specific region may be set differently for each specific region. For example, when the reference value of the dangerous population for each specific area is 1 and the absolute value of the data collected by the human body sensor 203 is 0 to 1, the result value of the safety preprocessing function is the human body sensor ( And the result value of the safety preprocessing function is collected by the human body sensor 203 when the absolute value of the data collected by the human body sensor 203 is greater than one. It can be proportional to the inverse of the absolute value of the data. For example, when the reference value of the dangerous population for each specific region is 2 and the absolute value of the data collected by the human body sensor 203 is 0 to 2, the result value of the safety preprocessing function is the human body sensor ( And the result value of the safety preprocessing function is collected by the human body sensor 203 when the absolute value of the data collected by the human body sensor 203 is greater than one. It can be proportional to the inverse of the absolute value of the data.

The crime safety degree calculation unit 120 may calculate the crime safety degree using the following equation.

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수일 수 있다.here,

Time,

Is the specific area,

May be the safety preprocessing function.

The crime safety equation may be a function that can be represented by a graph inverted by the x-axis represented by the sigmoid function. For example, the crime safety degree may have a value between 0 and 1, and the greater the safety pretreatment function value, the closer to 0, and the smaller the value, the closer to 1. The higher the crime safety degree may indicate that the area is safer.

The crime safety degree according to the equation may be increased as the value of the data collected by the illuminance sensor 201 is greater, and the value of the data collected by the acoustic sensor 202 is greater. In addition, the crime safety degree according to the equation may be increased or decreased according to the range of the value of the data collected by the human body sensor 203 and the increase and decrease of the value.

The crime safety property asset 130 may recalculate the crime safety degree by reflecting the risk report received by the risk report receiver 400 in the crime safety degree. The crime safety property release may receive information on whether a risk report occurs, whether to release a risk report, the number of risk reports, and a risk report generation area information from the risk report receiver 400. The crime safety property retrieval may recalculate the crime safety degree in a triggered manner. For example, the crime safety property retrieval unit may recalculate the crime safety level when the risk report generation and the risk report release are transmitted from the risk report receiving unit 400. The crime safety property retrieval unit may reset the retaliated crime safety degree to the crime safety level if data is not transmitted from the risk report receiving unit 400 for a predetermined time or more.

The crime safety degree asset exit may be retried by the following formula.

)(If N = 0

)

는 시간,

은 상기 특정 영역,

는 상기 재산출된 범죄 안전도,

는 상기 센서부(200)가 수집한 데이터로부터 산출된 상기 범죄 안전도,

은 상기 특정 영역별 평균 유동인구이고,

는 상기 특정 영역별 위험 보고 건수일 수 있다.here,

Time,

Is the specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit 200,

Is the average flow population by the specific region,

May be the number of risk reports per specific area.

은 상기 인체감지센서(203)에서 수집된 데이터로부터 산출된 인구수일 수 있다. 상기

은 상기 특정 영역의 날짜별, 계절별 또는 시간별 평균 유동인구일 수 있다. 상기

은 상기 인체감지센서(203)에서 수집된 데이터의 이력의 통계로부터 산출된 상기 특정 영역의 평균 유동인구일 수 있다.Here,

May be the population number calculated from the data collected by the human body sensor 203. remind

May be an average floating population by date, season or hour of the specific region. remind

May be an average flow population of the specific area calculated from statistics of the history of data collected by the human body sensor 203.

는 상기 센서부(200)가 수집한 데이터로부터 산출된 상기 범죄 안전도일 수 있다. 예를 들면, 상기 센서부(200)는 조도센서이고, 상기

는 상기 조도센서에서 측정된 조도값으로부터 산출된 상기 범죄 안전도일 수 있다. 예를 들면, 상기 센서부(200)는 조도센서, 음향센서 및 인체감지센서이고, 상기

는 다음의 수학식에 의해 산출된 상기 범죄 안전도일 수 있다.Here,

May be the crime safety degree calculated from the data collected by the sensor unit 200. For example, the sensor unit 200 is an illuminance sensor,

May be the crime safety degree calculated from the illuminance value measured by the illuminance sensor. For example, the sensor unit 200 is an illuminance sensor, an acoustic sensor, and a human body sensor.

May be the crime safety degree calculated by the following equation.

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수일 수 있다.here,

Time,

Is the specific area,

May be the safety preprocessing function.

The crime safety degree recalculated by the equation may lower the crime safety degree by a certain ratio when the risk report occurs by reflecting the number of risk reports in the crime safety degree. For example, assuming that the illumination sensor sensing value of 1200 lux, the acoustic sensor sensing value of 50 dB, the human body sensing sensor sensing value of 3, the average floating population 3, and the number of risk reports are 1, the crime safety degree is 0.4999 and the crime safety degree recalculated is 0.3333, the reinstated crime safety may be reduced by about 33.3% compared to the first crime safety.

The crime safety degree association calculating unit 140 may calculate an association between the crime safety of a specific region and the crime safety of another specific region proximate to the specific region. The crime safety level of the specific area may be affected by the crime safety level of the specific area in close proximity according to the relevance of the crime safety level. The crime safety level of the specific area may have an organic interaction according to the relationship between the crime safety level of the specific area adjacent to the crime safety level. For example, the correlation between the crime safety level may be derived using an Ising model or a 1-Dimensional Chain model.

For example, the correlation of the crime safety degree derived using the one-dimensional chain-type organic association model can be expressed by the following equation.

는 i번째 영역의 업데이트된 범죄 안전도,

은 i번째 영역의 범죄 안전도,

는 i-1번째 영역의 범죄 안전도,

는 i+1번째 영역의 범죄 안전도일 수 있다. 그러나, 본 발명은 이에 한정되는 것은 아니고, 다양한 유기적 연관모델을 이용하여 상기 범죄 안전도의 연관성을 도출하고, 이에 따라 상기 범죄 안전도를 업데이트 할 수 있다.Where t is a specific time,

Is the updated crime safety level for region i,

Is the crime safety level in the i area,

Is the crime safety degree in area i-1,

May be the crime safety degree of the i + 1 th area. However, the present invention is not limited thereto, and it is possible to derive an association of the crime safety degree using various organic association models, and update the crime safety degree accordingly.

Referring to FIG. 8, for example, when a risk report occurs in area 10, safety of areas 13 and 1 adjacent to area 10 decreases together, and area 9 is directly adjacent to area 10. However, the safety may be partially reduced adjacent to areas 1 and 13.

The information processing unit 100 is a storage unit for storing the data collected from the sensor unit 200 and the result of the safety degree preprocessing function, the crime safety degree, the retrieval crime safety degree and the crime safety degree association It may further include. The storage unit may provide historical data of the collected data from the sensor unit 200 and the result of the safety degree preprocessing function, the crime safety degree, the reinstated crime safety degree and the crime safety degree association. The storage unit may store information for each specific region, time, or date.

The information processing unit 100 may further include a communication unit supporting communication for exchanging data with the image display apparatus 300. For example, the image display apparatus 300 may be an image display unit of a mobile communication device, and the communication unit may provide wireless communication connected with the mobile communication device. For example, the image display apparatus 300 may be an image processor connected to an information processing apparatus, and the communication unit may be connected to the information processing apparatus by wireless or wired to transmit and receive data.

The image display apparatus 300 may display the crime safety level. The image display apparatus 300 may display the crime safety level by the specific region, time, and date. The image display apparatus 300 may display the crime safety level in real time. The image display apparatus 300 may display the crime safety level at regular intervals. The image display apparatus 300 may display a plurality of the specific areas according to the numbering.

The image display apparatus 300 may display the crime safety level along with a map for each region. The crime safety level may be displayed as color information displayed on a map. For example, if the crime safety level is lower than a predetermined value, the corresponding area may be displayed in red. The constant value may be different according to time, date and season. The crime safety degree may be represented by a numerical value, a graph, an arrow, a figure, a size of the figure, various colors, or an emphasis line.

The image display apparatus 300 may display a history of the crime safety level. The image display apparatus 300 may display a change history of the crime safety degree as time passes. For example, the image display apparatus 300 is a public display, and the public display displays a map including a plurality of areas in which the crime safety degree is displayed, and sequentially displays the crime safety history for each area displayed on the map. can do. For example, the image display apparatus 300 is an image display apparatus 300 attached to a mobile communication apparatus, and the image display apparatus 300 displays the crime safety degree for each region on a map, and when the region is selected. The crime safety history may be displayed for each time zone of the area.

The communication unit supports wireless communication, and when the crime safety level is lower than or equal to the minimum value, the communication unit may transmit a safety warning message to all information processing devices or mobile communication devices within the range of the wireless communication unit.

The risk report receiver 400 may receive a risk report for each specific area. The risk report receiving unit 400 may maintain the risk report history for a predetermined time after the risk report is received. For example, the risk report receiving unit 400 may calculate the risk report as the number for each specific area, and the risk report number may be deducted after maintaining the risk report for a predetermined time.

The risk report receiving unit 400 may receive a risk report release for each specific area. The risk report receiving unit 400 may release the risk report and subtract the number of the risk reports when the subject of the risk report releases the risk report.

The risk report receiving unit 400 may select a specific area in which the risk report has been received. The risk report may be received together with risk report generation area information. For example, the risk report is transmitted by the mobile communication device, and the risk report generation area information may be information input by a user of the mobile communication device or location information of the mobile communication device.

The risk report receiving unit 400 may transmit the risk report occurrence, the risk report contents, the number of risk reports, and the risk report generation area information to the information processing unit 100.

The risk report receiver 400 may receive a risk report from the image display apparatus 300. For example, the image display apparatus 300 may receive the risk report including an input unit and transmit the risk report to the risk report receiving unit 400. For example, the image display apparatus 300 may include an input unit, display the specific region on a map, and select the specific region displayed on the map of the image display apparatus 300 to receive the risk report. Through this, the risk report and the risk report generation area information may be transmitted to the risk report receiving unit 400.

For example, the risk report receiver 400 may receive the risk report from a mobile communication device or an information processing device connected to an external network. The selection of the area where the risk report is generated may refer to location information of the mobile communication device or information processing device or area information input by a user of the mobile communication device.

The image display apparatus 300 may display a risk report for each specific region, a plurality of the specific regions, or the total sum of risk reports. For example, the area in which the risk report is generated, the contents of the risk report, and the number of the risk reports can be displayed. The image display apparatus 300 may display the risk report together with the retaliated crime safety degree, the crime safety degree, illuminance information, sound information, or population number of the area where the risk report occurred. The image display apparatus 300 may display the risk report together with a map of the area where the risk report has occurred. The image display apparatus 300 may display the entrance and exit of the area where the risk report has occurred.

4 is a flowchart illustrating a method for sharing security information for each area according to an embodiment of the present invention. 5 is a flowchart illustrating a step of converting the security information pre-processing function of the area-specific crime prevention information sharing method according to an embodiment of the present invention.

The area-specific security information sharing method according to the present embodiment may include the area-specific security information sharing system of FIGS. 1 to 3. Therefore, the same components as those in the area-specific security information sharing system of FIGS. 1 to 3 are assigned the same reference numerals, and repeated descriptions are omitted.

4 to 5, the method for sharing security information for each area according to an embodiment of the present invention includes selecting a specific area (S100), collecting data in a specific area (S200), and calculating a crime safety level. A step S300, a step of displaying crime safety level S400, and a step of receiving a risk report S500.

In the selecting of the specific region (S100), the region selecting unit may select a specific region. The selection of the specific area may be selected by a user or in a specific pattern. For example, the specific pattern may be a road between branch points. For example, the area may be selected as a road, a sidewalk, a predetermined radius, a ramp, and the like. The specific area may be plural.

In step S100 of selecting the specific region, the selected specific region may be numbered. For example, specific regions adjacent to one of the specific regions may be numbered with consecutive numbers. For example, the one specific region is region 1, and the specific regions adjacent to the one specific region may be numbered 2, 3, 4, etc. clockwise from the upper left side. For example, the one specific region may be sequentially numbered with adjacent specific regions using a one-dimensional chain type organic association model.

In the collecting of data in the specific region (S200), the sensor unit may collect data in the specific region. The data may be data necessary for calculating the crime safety level. The data may be data related to state information of the specific area. In the collecting of data in the specific region (S200), the data collected in the specific region may be transmitted to the information processor.

In the step of calculating the crime safety level (S300), the crime safety level calculation unit may calculate a crime safety level using data collected by the sensor unit for each specific region. In the calculating of the degree of crime safety (S300), the data collected by the sensor unit may be preprocessed. For example, the data collected by the sensor unit may be converted into a conversion value of a specific range. The step of calculating the crime safety level (S300) may be performed at regular time intervals or when a change occurs in the data collected by the sensor unit.

The crime safety degree may be a value indicating whether the specific area is an environment in which crime is unlikely to occur. The crime safety level may be calculated for each specific area, time, and date. The crime safety level may be calculated from data necessary for calculating the crime safety level collected by the sensor unit.

The crime safety degree may be variously calculated from a combination of data collected by the sensor unit. For example, the data required for calculating the crime safety degree collected by the sensor unit may be illuminance, and when the illuminance is high, the crime safety degree may be high. For example, the data required for calculating the crime safety level collected by the sensor unit may have a loudness, and when the loudness is large, the crime safety may be high. For example, the data collected for the calculation of crime safety degree collected by the sensor unit is a population number, and the crime safety degree may be lowered or increased according to the population number. For example, the sensor unit may be a plurality of data, and the data necessary for calculating the crime safety level collected in the sensor unit may include illuminance, loudness, and population in the specific area, and the crime safety level is measured value of the illuminance, sound size, and population. It can be calculated from the combination of.

In the displaying of the crime safety level (S400), the image display device may display the crime safety degree for each specific area. The crime safety level may be displayed with a map for each region. The crime safety level may be displayed as a change history over time. In the displaying of the crime safety level (S400), when there is a change in the crime safety degree, the specific area of the crime safety degree that is changed may be displayed together with the crime safety degree. In the displaying of the crime safety level (S400), the crime safety degree may be sequentially displayed for each specific area. In the displaying of the criminal safety level (S400), if there is a sudden change in the criminal safety level, it may be highlighted.

In step S500 of receiving the risk report, a risk report may be received for each specific area. In the step of receiving the risk report (S500), the risk report history may be maintained for a predetermined time after the risk report is received. In step S500 of receiving the risk report, the number of risk reports may be accumulated for each specific area. The accumulated risk report number may be deducted after a certain time. In step S500 of receiving the risk report, the risk report number and the risk report may be transmitted to the image display apparatus.

The area-specific security information sharing method may include converting the safety degree preprocessing function (S310) and calculating an association of the crime safety level (S330).

The step S310 of converting the safety degree preprocessing function may be performed before the step S300 of calculating the crime safety degree. The step of calculating the crime safety level (S300) may be performed immediately after the step S310 of converting to the safety level preprocessing function or may be performed only when the result value of the crime safety level preprocessing function is changed.

In step S310 of converting the safety preprocessing function, data collected by the sensor unit may be converted into a safety preprocessing function. For example, the data collected by the illuminance sensor, the acoustic sensor, and the human body sensor may be converted into a safety preprocessing function.

The safety preprocessing function may be calculated using the following equation.

,here,

,

는 시간,

은 상기 특정 영역,

는 상기 조도센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 음향센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

는 상기 인체감지센서에서 측정된 상기 특정 영역별 및 시간별 데이터,

은 상기 특정 영역별 위험 인구 기준값일 수 있다.

Time,

Is the specific area,

Is the specific area and time-specific data measured by the illuminance sensor,

Is the specific area and time data measured by the acoustic sensor,

The specific area and time data measured by the human body sensor,

May be a risk population reference value for each specific region.

In the step of calculating the crime safety degree (S300), the crime safety degree may be calculated using a result value of the safety degree preprocessing function.

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수일 수 있다.here,

Time,

Is the specific area,

May be the safety preprocessing function.

In the calculating of the correlation between the crime safety level (S330), the crime safety degree correlation calculation unit may calculate an association between the crime safety level of a specific area and the crime safety level of an area adjacent to the area. Computing the degree of criminal safety (S330) may be performed after calculating the crime safety (S300). Alternatively, the step (S330) of calculating the correlation between the degree of crime safety may be recalculated when the new specific area is selected.

The crime safety level of the specific area may be affected by the crime safety level of the specific area in close proximity according to the relevance of the crime safety level. The crime safety level of the specific area may have an organic interaction according to the relationship between the crime safety level of the specific area adjacent to the crime safety level. For example, the correlation between the crime safety level may be derived using an Ising model or a 1-Dimensional Chain model.

For example, the correlation of the crime safety degree derived using the one-dimensional chain-type organic association model can be expressed by the following equation.

는 i번째 영역의 업데이트된 범죄 안전도,

은 i번째 영역의 범죄 안전도,

는 i-1번째 영역의 범죄 안전도,

는 i+1번째 영역의 범죄 안전도일 수 있다. 그러나, 본 발명은 이에 한정되는 것은 아니고, 다양한 유기적 연관모델을 이용하여 상기 범죄 안전도의 연관성을 도출하고, 이에 따라 상기 범죄 안전도를 업데이트 할 수 있다.Where t is a specific time,

Is the updated crime safety level for region i,

Is the crime safety level in the i area,

Is the crime safety degree in area i-1,

May be the crime safety degree of the i + 1 th area. However, the present invention is not limited thereto, and it is possible to derive an association of the crime safety degree using various organic association models, and update the crime safety degree accordingly.

6 is a flowchart illustrating a step of receiving a risk report of an area-specific security information sharing method according to an embodiment of the present invention. 7 is a flowchart illustrating a step of selecting an area where a risk report has occurred in a method for sharing security information for each area according to an embodiment of the present invention.

In the method of sharing security information for each zone according to the present embodiment, the method includes: receiving a risk report (S500), selecting a region in which the risk report has occurred (S501), displaying a risk report (S510), and crime safety level. Except for the calculation step (S520) is the same as the area-specific security information sharing method of Figs. Therefore, the same components as those in the area-specific security information sharing method of FIGS. 4 to 5 are assigned the same reference numerals, and repeated descriptions thereof will be omitted.

6 to 7, the method for sharing security information for each area according to the present embodiment includes receiving a risk report (S500), selecting a region where a risk report has occurred (S501), and displaying a risk report. It may include the step (S510) and the step (S520) for recalculating the degree of crime safety.

Receiving the risk report (S500) may be performed by a trigger method or an interrupt method. For example, the step S500 of receiving the risk report may be performed when the risk report is transmitted from another system or another device.

In the step of receiving the risk report (S500), the risk report receiver may receive a risk report for each specific area. The risk report may be counted by the specific area. The risk report number may be subtracted again after being maintained for a period of time. The risk report may be transmitted from a mobile communication device or an information processing device.

In step S501 of selecting the area where the risk report has occurred, the area where the risk report has occurred may be selected. The selection of the area in which the risk report has been generated may be selected by referring to the location information of the mobile communication device or information processing device that transmitted the risk report or the area information input by the user of the mobile communication device. For example, GPS information of the mobile communication device and location information of a network may be referred to.

In the displaying of the risk report (S510), the image display device may display the risk report. For example, the area in which the risk report is generated, the contents of the risk report, and the number of the risk reports can be displayed. In the displaying of the risk report (S510), the risk report may be displayed together with the crime safety level. In the displaying of the risk report (S510), the risk report may be displayed together with the retaliated crime safety level, the crime safety degree, illuminance information, sound information, or population number of the area where the risk report has occurred. In the displaying of the risk report (S510), the risk report may be displayed together with a map of the area where the risk report has occurred. In the displaying of the risk report (S510), the entrance and exit of the area in which the risk report occurs may be displayed.

In step S520 of retrieving the crime safety level, the crime safety property retrieval may recalculate the crime safety degree by reflecting the risk report. The retaliated crime safety can be calculated by the following equation.

)(If N = 0

)

는 시간,

은 상기 특정 영역,

는 상기 재산출된 범죄 안전도,

는 상기 센서부가 수집한 데이터로부터 산출된 상기 범죄 안전도,

은 상기 특정 영역별 평균 유동인구이고,

는 상기 특정 영역별 위험 보고 건수임.here,

Time,

Is the specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit,

Is the average flow population by the specific region,

Is the number of risk reports per specific area.

은 상기 인체감지센서에서 수집된 데이터로부터 산출된 인구수일 수 있다. 상기

은 상기 특정 영역의 날짜별, 계절별 또는 시간별 평균 유동인구일 수 있다. 상기

은 상기 인체감지센서에서 수집된 데이터의 이력의 통계로부터 산출된 상기 특정 영역의 평균 유동인구일 수 있다.Here,

May be the population number calculated from the data collected by the human body sensor. remind

May be an average floating population by date, season or hour of the specific region. remind

May be an average flow population of the specific area calculated from statistics of the history of data collected by the human body sensor.

는 상기 센서부가 수집한 데이터로부터 산출된 상기 범죄 안전도일 수 있다. 예를 들면, 상기 센서부는 조도센서이고, 상기

는 상기 조도센서에서 측정된 조도값으로부터 산출된 상기 범죄 안전도일 수 있다. 예를 들면, 상기 센서부는 조도센서, 음향센서 및 인체감지센서이고, 상기

는 다음의 수학식에 의해 산출된 상기 범죄 안전도일 수 있다.Here,

May be the crime safety degree calculated from the data collected by the sensor unit. For example, the sensor unit is an illuminance sensor,

May be the crime safety degree calculated from the illuminance value measured by the illuminance sensor. For example, the sensor unit is an illuminance sensor, an acoustic sensor, and a human body detecting sensor.

May be the crime safety degree calculated by the following equation.

는 시간,

은 상기 특정 영역,

는 상기 안전도 전처리 함수일 수 있다.here,

Time,

Is the specific area,

May be the safety preprocessing function.

The crime safety degree may be variously calculated from a combination of data collected by the sensor unit.

The step of recalculating the degree of crime safety may be performed after receiving the risk report (S500), after displaying the risk report (S510), or when the number of risk reports is changed.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It can be understood that.

100: information processing unit
200:
300: image display device
400: risk report receiving unit

Claims (18)

An information processing unit including a region selecting unit selecting a specific region and a crime safety level calculating unit calculating a crime safety level for each specific region;
A sensor unit arranged in the specific area to collect data necessary for calculating the crime safety level; And
And an image display device for displaying the crime safety degree received from the crime safety degree calculation unit by time and area.
The sensor unit includes an illuminance sensor, an acoustic sensor and a human body sensor,
The crime safety calculator calculates the crime safety degree by converting data collected by the illuminance sensor, the acoustic sensor, and the human body sensor into a safety safety preprocessing function, and the safety safety preprocessing function uses the following equation. Security information sharing system for each area.

here,

,

Is the safety pretreatment function,

Time,

Is the specific area,

Is the specific area and time-specific data measured by the illuminance sensor,

Is the specific area and time data measured by the acoustic sensor,

The specific area and time data measured by the human body sensor,

Is the risk population baseline for the specific area. delete The system of claim 1, wherein the crime safety level is calculated by using the following equation.

here,

Said crime safety degree,

Time,

Is the specific area,

Is the safety pretreatment function. According to claim 1, further comprising a risk report receiving unit for receiving a risk report for each specific area,
The image display device displays the number of risk reports received for each specific area and time,
And the information processing unit further comprises a crime safety property property retrieval system for retrieving the crime safety degree by the following formula.

(If N = 0

)
here,

Time,

Is the specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit,

Is the average flow population by the specific region,

Is the number of risk reports per specific area. According to claim 4, The risk report receiving unit receives the risk report from a mobile communication device or an information processing device connected to an external network,
And selecting the area where the risk report is generated by referring to location information of the mobile communication device or information processing device or area information input by a user of the mobile communication device. The crime prevention information for each region according to claim 1, wherein the information processing unit further comprises a crime safety degree correlation calculation unit configured to update the crime safety degree by calculating a correlation between the crime safety level of a specific area and the crime safety level of an area adjacent to the area. Shared system. The system of claim 1, wherein the image display apparatus displays the crime safety level with a map for each region. The system of claim 1, wherein the image display apparatus displays the crime safety level as a change history over time. The method of claim 1,
The image display device is a public display,
The information processing unit is a security information sharing system for each area, which is an information processing device disposed in or included around the public display. The system of claim 1, wherein the image display device is a mobile communication device including an image display unit. Selecting a specific area by the area selecting unit;
A sensor unit collecting data in the specific area;
A crime safety calculator calculating crime safety using the data collected by the sensor unit for each specific area;
Displaying, by the image display apparatus, the crime safety level for each specific area;
The sensor unit includes an illuminance sensor, an acoustic sensor and a human body sensor,
The calculating of the crime safety degree further includes converting data collected by the illuminance sensor, the sound sensor, and the human body sensor into a safety preprocessing function.
The safety preprocessing function is a security information sharing method for each area calculated using the following equation.

here,

,

Is the safety pretreatment function,

Time,

Is the specific area,

Is the specific area and time-specific data measured by the illuminance sensor,

Is the specific area and time data measured by the acoustic sensor,

The specific area and time data measured by the human body sensor,

Is the risk population baseline for the specific area. delete 12. The method of claim 11, wherein the crime safety level is calculated using the following equation.

here,

Said crime safety degree,

Time,

Is the specific area,

Is the safety pretreatment function. The method of claim 11, further comprising: receiving, by the risk report receiving unit, the risk report for each specific area;
Displaying the risk report by an image display device; And
Reproducing the crime safety degree by reflecting the risk report by the crime safety degree property release;
Crime retrieval information sharing method for each area is calculated by the following formula.

(If N = 0

)
here,

Time,

Is a specific area,

Is the crime safety,

Is the crime safety degree calculated from the data collected by the sensor unit,

Is the average flow population by the specific region,

Is the number of risk reports per specific area. 15. The method of claim 14, wherein receiving the risk report further comprises selecting an area in which the risk report occurred,
The risk report is received from a mobile communication device or an information processing device,
And selecting the area where the risk report is generated by referring to location information of the mobile communication device or information processing device or area information input by a user of the mobile communication device. 12. The method of claim 11, further comprising: updating a crime safety degree by calculating a correlation between the crime safety degree in a certain area and the crime safety degree in an area adjacent to the area. . The method of claim 11, wherein the crime safety level is displayed with a map for each area. The method of claim 11, wherein the crime safety level is displayed as a change history over time.

Images