JP5192180B2 - Crime risk assessment apparatus and crime risk assessment program - Google Patents

Description

The present invention, crime risk evaluation device, relates to 及 beauty crime risk assessment program, and more particularly, crime risk evaluation device for evaluating the internal height of the risk for crimes in the stored asset building及 beauty crime risk assessment Regarding the program.

  Conventionally, as a technique for simply evaluating the height of risk in a building, Patent Document 1 acquires information on a target facility (building) and information on a surrounding area of the facility, and based on the information. Thus, there is disclosed a technique for calculating a substantial amount of damage when a risk occurs at the facility.

Further, in Patent Document 2, position information indicating the construction position of the building to be evaluated is input, and the crime occurrence probability at the construction position indicated by the input position information is the past crime occurrence status within a predetermined area. Deriving based on the crime status information to be shown, deriving a vulnerability level value indicating the level of vulnerability to the crime of the building based on a predetermined condition regarding the building, the crime occurrence probability and the vulnerability level value A technique for deriving a crime risk evaluation value indicating a level of risk for a crime of the building based on the above and presenting information on the crime risk evaluation value is disclosed.
JP 2003-99601 A JP 2006-92311 A

  However, the technique disclosed in Patent Document 1 does not take into account crimes caused by an unspecified number of people, and cannot evaluate the high risk of crimes in assets stored in buildings. There was a problem that.

  In addition, although the technology disclosed in Patent Document 2 can evaluate the level of risk for crimes in assets stored inside a building, It is statistically determined and applied by criminal data, and it is not assumed that a suspicious person actually entered the building, so the risk of crime in this case cannot be evaluated There was a problem.

The present invention has been made to solve the above-mentioned problems, and in the case where a suspicious person actually enters the building, the high risk of crimes in the assets stored in the building is simply evaluated. crime risk evaluation device capable of, and to provide a 及 beauty crime risk assessment program.

In order to achieve the above object, the crime risk evaluation apparatus according to claim 1 is a vulnerability level value indicating a level of vulnerability to crimes at a plurality of predetermined intrusion positions reaching an asset stored in a building. Acquisition means for acquiring suspicious persons who have entered the building, and when the suspicious person is detected by the detecting means , the intrusion status of the suspicious person and the legitimacy of the suspicious person A suspicious person level value acquisition means for acquiring one or both of the levels and acquiring a predetermined suspicious person level value corresponding to the intrusion status and the legitimacy level, and the suspicious person detected by the detection means The criminal risk evaluation value indicating the level of risk for crimes by the suspicious person in the asset for all the intrusion routes from the position of the person to the storage position of the asset. Information about been said and deriving means for deriving on the basis of said suspicious person level value obtained by weak level value and the suspicious individual level value acquiring unit, the crime risk evaluation value derived by the deriving means obtained by means Display means for displaying.

  According to the crime risk evaluation apparatus according to claim 1, a vulnerability level value indicating a level of vulnerability to a crime at a plurality of predetermined intrusion positions reaching an asset stored in a building is acquired by the acquisition unit. The The assets include information assets such as personal information and customer information that are damaged by the occurrence of crimes, and all assets having value as assets such as people, goods, and property. In addition, acquisition of vulnerability level values by the acquisition means described above is not only via an input device such as a keyboard, pointing device, touch panel, tablet, but also via a communication line such as a local area network, the Internet, or an intranet. Acquisition from external devices.

Here, in the present invention, when the suspicious person is detected by the detecting means for detecting the suspicious person who has entered the building , the suspicious person's intrusion status and the suspicious person are obtained by the suspicious person level value obtaining means. One or both of the legitimacy levels are obtained and a suspicious person level value determined in advance corresponding to the intrusion situation and the legitimacy level is obtained . The vulnerability level value and the suspicious person level value acquisition means acquired by the acquisition means are the criminal risk evaluation values indicating the level of risk for crimes by the suspicious person in the asset for all intrusion routes leading to the storage position. Is derived based on the suspicious person level value obtained by . The crime risk evaluation value includes the maximum vulnerability level value for the asset.

  And in this invention, the information regarding the said crime risk evaluation value derived | led-out by the said deriving means is displayed by a display means. The display by the display means includes a visible display by a display device or the like, a permanent visible display by an image forming device or the like, and an audible display by a speech synthesizer or the like.

As described above, according to the crime risk evaluation apparatus according to claim 1, the vulnerability level value indicating the level of vulnerability to the crime at a plurality of predetermined intrusion positions reaching the assets stored in the building is acquired. If a suspicious person who has entered the inside of the building is detected , either or both of the suspicious person's intrusion status and the suspicious person's legitimacy level are acquired to respond to the intrusion situation and the legitimacy level. predetermined acquired suspicious individual level value each, the suspicious individual crime risk assessment indicates the height of the risk for crimes in the assets for all invasion path from the position of the suspicious person to storage position of said asset the values were derived based on the vulnerability level values obtained with the a suspicious person level value, since the display information about the derived the crime risk evaluation value, actually inside a building It can be evaluated in the risk to crimes in assets respondent's stored in the interior of the building in the case of entering the height easily.

  According to the present invention, as in the invention described in claim 2, when the display means includes a plurality of the intrusion routes, information indicating the intrusion route having the highest crime risk evaluation value is displayed as the crime risk evaluation. It is good also as what is displayed as information about a value. Thereby, it is possible to easily grasp the intrusion route having the highest crime risk evaluation value.

Further, according to the present invention, as in the invention described in claim 3, the derivation means uses i as a number assigned for each suspicious person, j as a number assigned for each asset storage position, and Uij as The suspicious person i is identified by the suspicious person level value, and is a value indicating the probability of identifying the suspicious person i as a criminal with respect to the asset located at the storage position j. When the maximum vulnerability level value from the position to the asset located at the storage position j is assumed and Aj is the value of the asset located at the storage position j, the maximum expected loss value Lmax is calculated by the following equation: It may be derived as a crime risk evaluation value.

これにより、犯罪リスク評価値を的確に導出することができる。

Thereby, the crime risk evaluation value can be accurately derived.

  Further, according to the present invention, as in the invention described in claim 4, the acquisition unit may acquire the vulnerability level value as a value according to a predetermined condition related to a crime at the intrusion position. Thereby, a vulnerability level value can be acquired easily.

  In particular, in the invention according to claim 4, as in the invention according to claim 5, the acquisition means assumes a plurality of warning lines centered on the storage position of the asset, and for each warning line. The vulnerability level value may be acquired. Thereby, the information regarding the crime risk evaluation value can be easily displayed for each of a plurality of levels of warning lines.

  Further, in the invention according to claim 5, as in the invention according to claim 6, the warning line reaches the first warning line that is a boundary line extending to the site of the building and the inside of the building. Four warning lines, a second warning line that is a boundary line, a third warning line that is a boundary line leading to the room of the room where the asset exists, and a fourth warning line that is a boundary line leading to the asset itself It is good also as including at least one of these. Thereby, the information regarding the crime risk evaluation value can be easily displayed for each included warning line.

  Further, in the invention described in claim 5 or claim 6, as in the invention described in claim 7, a predetermined condition relating to the crime at the intrusion position is configured for each warning line. In the condition that the acquisition means is configured so that the vulnerability level value for each warning line corresponds to the corresponding warning line, any one of the plurality of conditions for which a crime is established only when one is satisfied. Applying the highest value among the satisfaction levels for the above conditions, and applying the value obtained by multiplying the satisfaction levels for the multiple conditions for multiple conditions in which the crime is established only when all are satisfied It is good also as what is acquired as. Thereby, the vulnerability level value for each warning line can be derived more accurately.

On the other hand, in order to achieve the above object, the crime risk evaluation program according to claim 8 is a vulnerability indicating a high degree of vulnerability to crime at a plurality of predetermined intrusion positions leading to an asset stored in a building. An acquisition step of acquiring a level value and, when a suspicious person who has entered the inside of the building is detected, acquiring either or both of the intrusion status of the suspicious person and the legitimacy level of the suspicious person A suspicious person level value acquisition step for acquiring a suspicious person level value determined in advance corresponding to the situation and the legitimacy level, and all intrusion routes from the detected position of the suspicious person to the storage position of the asset Criminal risk evaluation value indicating the level of risk against crime by the suspicious person in the asset with respect to the vulnerability level value obtained by the obtaining step and the previous A derivation step derived based on the suspicious person level value acquired by the suspicious person level value acquisition step, and a display step for displaying information on the crime risk evaluation value derived by the derivation step are executed on a computer. It is something to be made.

Therefore, according to the crime risk evaluation program described in claim 8, since it can be made to act on the computer in the same manner as in the invention described in claim 1, as in the invention described in claim 1, the inside of the building is actually used. When a suspicious person enters the building, it is possible to easily evaluate the high risk of crime in the assets stored inside the building.

In the invention according to claim 8, as in the invention according to claim 9 , when the display step includes a plurality of the intrusion routes, the information indicating the intrusion route having the highest crime risk evaluation value is displayed. It is good also as what displays as the information regarding the said crime risk evaluation value. Thereby, it is possible to easily grasp the intrusion route having the highest crime risk evaluation value.

Furthermore, in the invention according to claim 8 or claim 9 , as in the invention according to claim 10 , in the derivation step, i is a number assigned to each suspicious person, and j is an asset storage position. And the probability that the suspicious person i is specified as the criminal for the asset located at the storage position j, which is specified by the suspicious person level value acquired for the suspicious person i, is indicated. And Fij is the maximum value of the vulnerability level from the position of the suspicious person i to the asset located at the storage position j, and Aj is the value of the asset located at the storage position j. The maximum value Lmax of the expected damage value may be derived as the crime risk evaluation value.

これにより、犯罪リスク評価値を的確に導出することができる。

Thereby, the crime risk evaluation value can be accurately derived.

According to the present invention, a suspicious person who has acquired a vulnerability level value indicating the level of vulnerability to a crime at a plurality of predetermined intrusion positions reaching an asset stored in a building and has entered the building. When a suspicious person is detected , either or both of the intrusion status of the suspicious person and the legitimacy level of the suspicious person are acquired, and a suspicious person level value determined in advance corresponding to the intrusion situation and the legitimacy level And obtained a criminal risk evaluation value indicating a level of risk for the crime by the suspicious person in the asset for all intrusion routes from the detected position of the suspicious person to the storage position of the asset. the derived on the basis of the fragile level value and the a suspicious person level value, since displaying the derived the information about crimes risk evaluation value actually suspicious person inside the building has entered Risk for crimes in assets that are stored inside the case of the building height can be evaluated easily, the effect is obtained that.

  The best mode for carrying out the present invention will be described below in detail with reference to the drawings.

  First, with reference to FIG.1 and FIG.2, the structure of the crime risk evaluation apparatus 10 to which this invention was applied is demonstrated.

  As shown in FIG. 1, the crime risk evaluation apparatus 10 according to the present embodiment includes a control unit 12 that controls the overall operation of the apparatus, a keyboard 14 and a mouse that are used to input various information from the user. 16 and a display 18 for displaying processing results by this apparatus, various menu screens, messages, and the like. That is, the crime risk evaluation apparatus 10 according to the present embodiment is configured by a general-purpose personal computer.

  Next, with reference to FIG. 2, the principal part structure of the electric system of the crime risk evaluation apparatus 10 which concerns on this Embodiment is demonstrated.

  As shown in the figure, the crime risk evaluation apparatus 10 includes a CPU (Central Processing Unit) 22 that controls the operation of the entire crime risk evaluation apparatus 10, and a RAM 24 that is used as a work area when the CPU 22 executes various programs. A ROM 26 in which various control programs and various parameters are stored in advance, a hard disk 28 functioning as a storage means used for storing various information, the keyboard 14, mouse 16, and display 18 described above are connected to the outside. And an external interface (I / F) 30 for exchanging various types of information with the other devices. These units are electrically connected to each other by a system bus BUS. Note that various sensors described later are connected to the external interface 30.

  Therefore, the CPU 22 accesses the RAM 24, the ROM 26, and the hard disk 28, acquires various information via the keyboard 14 and the mouse 16, displays various information on the display 18, and grasps the sensing state by various sensors via the external interface 30. Etc. can be performed respectively.

  FIG. 3 schematically shows main stored contents of the hard disk 28 provided in the crime risk evaluation apparatus 10. As shown in the figure, the hard disk 28 is provided with a database area DT for storing various databases and a program area PG for storing programs for performing various processes.

  Further, in the database area DT, a suspicious person level value database DT1, a fault tree database DT2, and a vulnerability level value database DT3 that are used when executing an intrusion position vulnerability level derivation processing program and a crime risk evaluation processing program described later are stored in advance. ing.

  As shown in FIG. 4, the suspicious person level value database DT1 according to the present embodiment stores a plurality of predetermined intrusion situations assumed for a suspicious person who enters a building to be evaluated, A suspicious person level value indicating a probability of identifying a suspicious person who has intruded in a corresponding intrusion situation as a criminal for an asset to be evaluated is configured to be stored for each intrusion situation. In the suspicious person level value database DT1 according to the present embodiment, the suspicious person level value is a value within the range of 0 to 1 and increases as the probability increases. In the example shown in the figure, for example, “0.2” which is a relatively small value is applied as a suspicious person level value of a suspicious person who has forcibly passed through a fence, and the glass window is broken to enter. The maximum value “1.0” is applied as the suspicious person level value of the suspicious person.

  By the way, the crime risk evaluation apparatus 10 according to the present embodiment uses a fault tree analysis technique to increase the vulnerability at the location where the asset to be evaluated of the building to be evaluated is stored. Vulnerability level values indicating the risk are derived and applied to evaluate criminal risk for the asset.

  The fault tree database DT2 is used when deriving the vulnerability level value at this time. As schematically shown in FIG. 5 as an example, all the predetermined conditions related to the crime against the building are A tree-like structure in which a plurality of conditions in which a crime is established only when established is combined with an AND connector, and a plurality of conditions in which only one is established and a crime is established is combined with an OR connector. It is comprised as such.

  The crime risk evaluation apparatus 10 according to the present embodiment assumes a plurality of levels of warning lines centered on the storage position of the asset to be evaluated, and derives the vulnerability level value for each warning line. It is supposed to be possible. Here, in the crime risk evaluation apparatus 10, as shown in FIG. 6 as an example, the first warning line, which is a boundary line leading to the site of the building to be evaluated, and the building to be evaluated as the warning line. The second warning line that is the boundary line leading to the building, the third warning line that is the boundary line leading to the room of the room where the crime object (assets) exists, and the boundary line that reaches the target object itself Four types of warning lines are applied. Therefore, the fault tree database DT2 according to the present embodiment is configured such that a predetermined condition relating to the crime against the building is in a tree shape at each stage of the four types of warning lines.

  The fault tree database DT2 shown in FIG. 5 corresponds to the case where the building to be evaluated is the one shown in FIG. 6, but in this database, for example, a suspicious person enters the first warning line. There are three places that can be invaded, the gate M01, the door T01, and the fence S01, and the conditions regarding crimes corresponding to these three places are “pass through the gate M01”, “pass through the door T01”, and “ There are three conditions “pass through fence S01”, and if any one of these conditions is met, a suspicious person can enter the first warning line, so these three conditions are OR It is connected with a connector. In the case of the building shown in FIG. 6, when all of the conditions that a suspicious person enters the first security line and the condition that the door passes through the door T02 are satisfied, These two conditions are connected by an AND connector because they can penetrate. Furthermore, in the case of the building shown in FIG. 6, all of the conditions that a suspicious person enters the second warning line and the condition that the suspicious person passes through the door T03 (hereinafter referred to as “first condition group”) are established. In this case, since a suspicious person can enter the third warning line, these two conditions are also connected by an AND connector.

  On the other hand, in the case of the building shown in FIG. 6, in order for a suspicious person existing in the first warning line to enter the third warning line, a condition that the suspicious person enters the first warning line, and a door When all the conditions of passing through T04 (hereinafter referred to as “second condition group”) are satisfied, or when a suspicious person enters the first line of caution, and passes through the window W01. Even if all of the conditions (hereinafter referred to as “third condition group”) are satisfied, a suspicious person can enter the third warning line without passing through the second warning line. Each condition is also connected by an AND connector.

  Here, when any one of the first condition group, the second condition group, and the third condition group is satisfied, the suspicious person can enter the third warning line. These three condition groups are connected by an OR connector.

  On the other hand, a suspicious person who has entered the third warning line can enter the fourth warning line by passing through the door T05, so that the person enters the third warning line and passes through the door T05. The condition “Yes” is connected by an AND connector.

  On the other hand, as shown in FIG. 7, the vulnerability level value database DT3 according to the present embodiment has doors, gates, fences, etc. provided for each of the four types of warning lines and on the corresponding warning lines. For each intrutable part, an item that can specify the level of vulnerability (easy to pass) of the corresponding part, and a vulnerability level value that indicates the level of vulnerability of the part when the item is established Are stored. For example, when the item “No resident guard” is established for the door provided on the third warning line, “1.0” is applied as the vulnerability level value for the item. Note that, in the vulnerability level value database DT3 according to the present embodiment, as the vulnerability level value of each item, a value that is in the range of 0 to 1 and increases as the vulnerability level increases is applied. ing.

  By the way, in the building to be evaluated according to the present embodiment, various sensors are provided for a predetermined intrusion site existing on the route to the asset to be evaluated. Further, in the present embodiment, an IC tag storing predetermined ID (Identification) information is issued to a predetermined legitimate visitor to the building, and in the vicinity of a predetermined intrusion site. Thus, there is provided an entrance detection device having a tag reader for reading stored information of the IC tag and a human sensor for detecting the presence of a person.

  FIG. 6 shows an example of a state of installation in a building that is an evaluation target of the above-described various sensors and the entrance detection device. In the example shown in the figure, an IC tag 60 is issued to a regular visitor, and an entrance detection device 62 is installed in the vicinity of the gate M01. Further, a door opening sensor 64 for detecting opening of the door for each door is provided, a window breaking sensor 68 for detecting breaking of the window is provided for the window W01, and a fence. A vibration sensor 80 that detects that the fence has been forcibly passed with respect to S01 is provided.

  The crime risk evaluation apparatus 10 according to the present embodiment is electrically connected to these sensors and the entrance detection apparatus via the external interface 30. The crime risk evaluation apparatus 10 detects each sensor and the entrance detection. Information indicating a detection result by the apparatus can be acquired.

  Further, the crime risk evaluation apparatus 10 according to the present embodiment is capable of recognizing the installation position of each connected sensor and the entrance detection apparatus, and is suspicious from the position of each sensor and the entrance detection apparatus. A person's position can be specified.

  Next, the operation of the crime risk evaluation apparatus 10 according to the present embodiment will be described.

  First, referring to FIG. 8, the crime risk evaluation apparatus 10 for executing an intrusion position vulnerability level derivation process for deriving a vulnerability level value for each passable part leading to an asset to be evaluated of a building to be evaluated. The operation will be described. FIG. 8 shows the processing flow of the intrusion position vulnerability level derivation processing program executed by the CPU 22 when a user inputs an instruction to execute the intrusion position vulnerability level derivation process by operating the keyboard 14 and mouse 16. This is a flowchart, and the program is stored in advance in the program area PG of the hard disk 28.

  First, in step 100 in the figure, the vulnerability level value database DT3 is read from the hard disk 28, and a corresponding item input screen having a predetermined format is constructed and displayed on the display 18 based on the stored contents of the database. In the next step 102, input of predetermined information is waited.

  FIG. 9 shows the display state of the corresponding item input screen according to the present embodiment. As shown in the figure, on the screen, the vulnerability of the corresponding part is high for each type of warning line and for each intrusive part such as a door, gate, fence, etc. provided on the corresponding warning line. An item that can specify (easy to pass) is displayed together with a rectangular frame to which a check mark is added when designated by the user. When the corresponding item input screen as shown in the figure is displayed on the display 18, the user points the display area of the item corresponding to the building to be evaluated or the rectangular frame corresponding to the item with the mouse 16. After the designation, the “end” button displayed at the bottom of the screen is designated with the mouse 16. Accordingly, step 102 is affirmative and the process proceeds to step 104.

  In step 104, the vulnerability level value of the building to be evaluated is calculated based on the item designated by the user on the corresponding item input screen. Here, the calculation is performed as follows.

  First, vulnerability level values corresponding to all items specified by the user are specified from the read vulnerability level value database DT3.

  Next, the fault tree database DT2 is read from the hard disk 28, and the vulnerability level value corresponding to each identified item is assigned to the passable part such as the corresponding gate or door, and the total value of the assigned vulnerability level values is passed. Calculate every time.

  As a result of this calculation, if the building to be evaluated is as shown in FIG. 6 and the fault tree database DT2 is as shown in FIG. 5, as an example, as shown schematically in FIG. Each vulnerability level value is derived. In the example shown in FIG. 10, for example, “0.5” is set as the vulnerability level value of the door T01 existing on the first security line, and “1.0” is set as the vulnerability level value of the door T02 existing on the second security line. , Each is derived.

  In the next step 106, the vulnerability level value for each passable part derived by the process of step 104 is stored in a predetermined area of the hard disk 28, and then the intrusion position vulnerability level derivation processing program is terminated.

  Next, the operation of the crime risk evaluation apparatus 10 when executing the crime risk evaluation process for evaluating crime risk will be described with reference to FIG. FIG. 11 is a flowchart showing the flow of the crime risk evaluation processing program executed by the CPU 22 when an instruction to execute the crime risk evaluation processing is input by the operation of the keyboard 14 and the mouse 16 by the user. The program is also stored in advance in the program area PG of the hard disk 28.

  First, in step 200 in the figure, in order to detect the intrusion of a suspicious person, the detection waiting for the intrusion of the suspicious person by any one of the sensors and the entrance detection device provided in the building to be evaluated is waited, and the next step 202 Then, the maximum vulnerability level value in all warning lines from the position of the suspicious person specified according to the position of the sensor or entrance detection device that detected the suspicious person to the storage position of the asset to be evaluated is Derived as shown in

  First, the vulnerability level value for each passable part stored by the fault tree database DT2 and the intrusion position vulnerability level derivation processing program is read from the hard disk 28.

  Next, using the read vulnerability level value for each passable part, a plurality of vulnerability level values in all the alert lines from the position of the suspicious person to the storage position of the asset to be evaluated are combined with an OR connector. For the above conditions, the maximum value of the vulnerability level value corresponding to each condition is applied, and for the multiple conditions connected by the AND connector, the vulnerability level value corresponding to each condition is multiplied and applied. To derive. That is, for a plurality of conditions in which a crime is established only when one of them is established, the highest value among the satisfaction levels for the plurality of conditions is applied, and a plurality of conditions in which a crime is established only when all are established Applies a value obtained by multiplying each satisfaction level for the plurality of conditions.

  In this process, as shown in FIG. 12 as an example, a warning line corresponding to the detected position of the suspicious person (second warning line in the example shown in the figure) and the storage position of the asset to be evaluated are stored. As a reference, a reference line (the first warning line in the example shown in the figure) positioned outside the warning line as a reference position (in the example shown in the figure, a position marked with “★”), the reference position The maximum value of “1.0” is applied as the vulnerability level value in, and the vulnerability level values in all warning lines from the reference position to the storage position of the asset to be evaluated are derived. For this reason, as an example, the weak level value and the connector indicated by “x” shown in FIG. 12 are not used in this processing.

  In the fault tree shown in FIG. 12, the first warning line connected to the downstream side (outside) of the second warning line is excluded from the processing target. This is because the warning line connected to the downstream side has no meaning in deriving the vulnerability level value in order to set the maximum value to “1.0”.

  By this process, as shown in FIG. 13 as an example, the maximum value of the vulnerability level value in each warning line is derived. In the example shown in the figure, it is shown that “0.5” is derived as the vulnerability level value in the third alert line and “0.25” is derived as the vulnerability level value in the fourth alert line. .

  Then, by derivation of the maximum value of the vulnerability level value in each passable part and each warning line, as shown in FIG. 13 as an example, the weakest intrusion route (the most vulnerable level value) reaching the fourth warning line. Is a high route and is hereinafter referred to as a “weakest route”).

  In the next step 204, the crime risk evaluation value Lmax is calculated by the following equation (1) based on the vulnerability level value obtained by the above processing.

ここで、ｉは不審者毎に付与された番号を、ｊは資産の保管位置毎に付与された番号を、Ｕｉｊは不審者ｉを保管位置ｊに位置された資産に対する犯罪者として特定する確率を示す不審者レベル値を、Ｆｉｊは不審者ｉの位置から保管位置ｊに位置された資産に至る脆弱レベル値の最大値を、Ａｊは保管位置ｊに位置された資産の価値を、各々表す。ここで、不審者レベル値Ｕｉｊは、不審者ｉを検出したセンサや入場検出装置による不審者の侵入状況に対応する不審者レベル値を不審者レベル値データベースＤＴ１から読み出すことにより得ることができる。例えば、振動センサ８０により不審者が検出された場合は「フェンス強制通過」に対応する「０．２」が読み出され、入場検出装置６２により不審者が検出された場合は「入退システムの無許可通過」に対応する「０．５」が読み出され、扉用こじ開けセンサ６４により不審者が検出された場合は「門・扉・窓こじ開け」に対応する「１．０」が読み出される。なお、（１）式により算出される犯罪リスク評価値Ｌｍａｘは、評価対象とする資産に対する損害期待値の最大値を示すものである。

Here, i is a number assigned to each suspicious person, j is a number assigned to each asset storage position, and Uij is a probability of identifying suspicious person i as a criminal for the asset located at storage position j. Represents the suspicious person level value, Fij represents the maximum value of the vulnerability level from the position of the suspicious person i to the asset located at the storage position j, and Aj represents the value of the asset located at the storage position j. . Here, the suspicious person level value Uij can be obtained by reading out the suspicious person level value corresponding to the intrusion state of the suspicious person by the sensor detecting the suspicious person i or the entrance detection device from the suspicious person level value database DT1. For example, when a suspicious person is detected by the vibration sensor 80, “0.2” corresponding to “forced passage through fence” is read out, and when a suspicious person is detected by the entrance detection device 62, the “0.5” corresponding to “Unauthorized passage” is read, and when a suspicious person is detected by the door open sensor 64, “1.0” corresponding to “gate / door / window open” is read. . The crime risk evaluation value Lmax calculated by the equation (1) indicates the maximum expected damage value for the asset to be evaluated.

  The formula (1) is also applicable to the case where a plurality of suspicious persons are present in the building at the same time and a plurality of assets stored in different storage positions are evaluated. When evaluating a plurality of assets that exist and are stored in different storage locations, the derivation of the vulnerability level value in step 202 is performed for each location of the suspicious person and for each asset, thereby Apply the value obtained.

  In the next step 206, based on the weakest path and the crime risk evaluation value Lmax obtained by the above processing, an evaluation result screen having a predetermined format is constructed and displayed on the display 18.

  FIG. 14 shows the display state of the evaluation result screen displayed on the display 18 by the processing of step 206 described above. As shown in the figure, the screen displays the position of the suspicious person and the weakest path to the storage position of the asset to be evaluated by the suspicious person with respect to the floor plan of the building to be evaluated. The crime risk evaluation value Lmax indicating the maximum expected damage value for the asset to be evaluated is displayed.

  Therefore, by referring to the screen, the user can easily grasp the position of the suspicious person and the weakest path to the asset to be evaluated by the suspicious person, and also expect the damage value for the asset to be evaluated. The maximum value of can be grasped.

  In the next step 208, it is determined whether or not it is time to end the crime risk evaluation processing program. If the determination is negative, the process returns to step 200. The evaluation processing program is terminated. In the crime risk evaluation processing program according to the present embodiment, the timing at which the user inputs an instruction to instruct the termination is applied as the timing at which the crime risk evaluation processing program is terminated. Needless to say, other timings such as a timing when a predetermined time is reached can be applied.

  As described above in detail, in the present embodiment, a vulnerability level value indicating the level of vulnerability to crimes at a plurality of predetermined intrusion positions reaching assets stored in a building is acquired, A crime that indicates a high risk for a crime by the suspicious person in the asset for all intrusion routes from the position of the suspicious person to the storage position of the asset when a suspicious person who has entered the building is detected Since the risk evaluation value is derived based on the acquired vulnerability level value and information on the derived crime risk evaluation value is displayed, the inside of the building when a suspicious person actually enters the building It is possible to easily evaluate the level of risk for crimes in assets stored in.

  In the present embodiment, since the information indicating the intrusion route having the highest crime risk evaluation value is displayed as information on the crime risk evaluation value, the intrusion route having the highest crime risk evaluation value can be easily grasped. be able to.

  In this embodiment, i is a number assigned to each suspicious person, j is a number assigned to each asset storage position, and Uij is a crime against an asset located at suspicious person i storage position j. A value indicating the probability of being identified as a person, Fij is the maximum vulnerability level value from the position of the suspicious person i to the asset located at the storage position j, and Aj is the value of the asset located at the storage position j At this time, since the maximum value Lmax of the expected damage value is derived as the crime risk evaluation value by the equation (1), the crime risk evaluation value can be accurately derived.

  In the present embodiment, the vulnerability is set as a value corresponding to a satisfaction level with respect to a predetermined condition (here, a condition registered in the fault tree database DT2 and the vulnerability level database DT3) regarding the crime at the intrusion position. Since the level value is acquired, the vulnerable level value can be easily acquired.

  In particular, in the present embodiment, assuming a plurality of warning lines centered on the storage position of the asset, the vulnerability level value is acquired for each warning line. Information on crime risk evaluation values can be displayed easily.

  Moreover, in this Embodiment, the said 1st caution line which is a boundary line which reaches in the site of the said building, the 2nd caution line which is the boundary line which reaches the inside of the said building, and the said asset exist in the said caution line Since there are four warning lines, the third warning line, which is the boundary line leading to the interior of the room, and the fourth warning line, which is the boundary line leading to the asset itself, crime is committed for each of these warning lines. Information about the risk evaluation value can be easily displayed.

  Furthermore, in the present embodiment, the predetermined condition regarding the crime at the intrusion position is configured for each warning line, and the vulnerability level value for each warning line corresponds to the corresponding warning line. For a plurality of conditions in which a crime is established only when any one of the conditions is established, the highest value among the satisfaction levels for the plurality of conditions is applied, and the crime is established only when all are established As for multiple conditions to be obtained, it is assumed that the value obtained by multiplying each satisfaction level for the multiple conditions is applied, so the vulnerability level value for each warning line should be derived more accurately Can do.

  In the above embodiment, the case where the present invention is realized by a single personal computer incorporating the hard disk 28 in which the various databases DT1 to DT3 are stored in advance has been described. However, the present invention is not limited to this. For example, a personal computer that does not include the hard disk 28 is connected to a personal computer that has a storage medium or storage device in which the databases DT1 to DT3 are stored in advance via a communication line. The present invention can be realized by a computer and an external device. In this case as well, the same effects as in the above embodiment can be obtained.

  In the above embodiment, the case where the suspicious person level value database DT1 shown in FIG. 4 is applied has been described. However, the present invention is not limited to this, and for example, shown in FIG. The suspicious person level value database DT1 ′ may be applied.

  In this case, legitimate visitors are classified in advance into a plurality of levels (in the example shown in FIG. 15, the three levels of temporary employees, general employees, and administrative employees), and the IC tag possessed by each regular visitor. ID information that can identify the level to which the regular visitor belongs is stored, while areas that can be entered are determined in advance for each of the multiple levels, and visitors in each area are detected. The entrance detection device is provided at a possible position. Then, when a person's admission is detected by any admission detection device, the admission person is authorized ID information (in the example shown in FIG. 15, an ID corresponding to one of a temporary employee, a general employee, and an administrative employee). Information) is stored in the suspicious person level value database DT1 ′ in accordance with whether or not the IC tag is stored and the ID information stored in the IC tag in the case of possessing the IC tag. To get.

  For example, if the visitor detected by the entrance detection device does not have an IC tag storing regular ID information, the location of the visitor specified by the entrance detection device does not check the ID information. However, the suspicious person level value is “0” only when it is located in an area where entry is possible, and the suspicious person level value is “1.0” when located in another area. In addition, when the visitor detected by the entrance detection device has an IC tag storing regular ID information and the ID information indicates the level to which the temporary employee belongs, the entrance detection device The suspicious person level value is set to “0” only when the location of the specified visitor is located in an area that can be entered without checking the ID information, or an area where a temporary employee can enter. The suspicious person level value is “0.5” when the management employee is located in an area where only the management employee can enter, and the suspicious person level value is “0.5” when the management employee is located in an area where only the management employee can enter. 1.0 '.

  In this case, both the suspicious person level value database DT1 and the suspicious person level value database DT1 'may be applied so that the larger suspicious person level value obtained from each database may be applied.

  In addition, a value corresponding to the asset storage position j may be applied as the suspicious person level value, or a value corresponding to both the suspicious person i and the storage position j may be applied.

  In these cases, the same effects as in the above embodiment can be obtained.

  Moreover, in the said embodiment, although demonstrated only when the intrusion of a suspicious person into a building was detected, this invention is not limited to this, By the inventors of this invention as an example As described in Japanese Patent Application No. 2006-286878, a crime risk evaluation apparatus that is applied when a suspicious person has not entered a building is used in combination. Only when it is detected, the crime risk evaluation apparatus according to the above embodiment can be selectively switched and applied.

  In the above embodiment, the case where the derivation result or the like by the crime risk evaluation processing program is presented by display using the display 18 has been described. However, the present invention is not limited to this and is not illustrated, for example, It is also possible to use a form that is presented by printing using a printer. In this case as well, the same effects as in the above embodiment can be obtained.

  In the above-described embodiment, the case where the fragile level value is derived based on the registration information of the fragile level value database DT3 has been described in the case where the fragile level value in each intrusive part such as a door and a window is derived, but the present invention is limited to this. For example, similar to the technique described in Japanese Patent Application Laid-Open No. 2006-92311 by the present applicant, these vulnerability level values are also faults in the same manner as the maximum value of the vulnerability level values in each warning line. A form derived using tree analysis may also be adopted. In this case as well, the same effects as in the above embodiment can be obtained.

  Moreover, although the case where the crime risk evaluation value is calculated by the expression (1) has been described in the above embodiment, the present invention is not limited to this, and other modifications such as a modification of the expression (1) The crime risk evaluation value may be calculated by applying the above formula. In this case as well, the same effects as in the above embodiment can be obtained.

  Moreover, although the case where the storage position of the asset to be evaluated is fixed has been described in the above embodiment, the present invention is not limited to this. For example, for the asset, the asset Position detection means that can detect the position (for example, a GPS receiver that detects the current position by receiving and analyzing a GPS (Global Positioning System) signal) is detected by the position detection means. By assuming that the determined position is the position where the asset to be evaluated is stored, the position of the asset to be evaluated can be dynamically applied. In this case, since the position of the asset can be automatically set, convenience can be improved.

  In addition, the configuration (see FIGS. 1 to 3) of the crime risk evaluation apparatus 10 described in the above embodiment is merely an example, and it is needless to say that the configuration can be appropriately changed without departing from the gist of the present invention.

  Further, the processing flow (see FIGS. 8 and 11) of the intrusion position vulnerability level derivation processing program and the crime risk evaluation processing program shown in the above embodiment is also an example, and within the scope not departing from the gist of the present invention. Needless to say, it can be changed as appropriate.

  The configuration of the corresponding item input screen and the evaluation result screen (see FIGS. 9 and 14) shown in the above embodiment is also an example, and can be appropriately changed without departing from the gist of the present invention. Needless to say. For example, instead of the evaluation result screen shown in FIG. 14, the image itself shown in FIG. 13 may be displayed.

  Furthermore, the configuration of various databases shown in the above embodiment (see FIGS. 4, 5, and 7) is also an example, and it goes without saying that it can be changed as appropriate without departing from the gist of the present invention.

It is a perspective view which shows the external appearance of the crime risk evaluation apparatus which concerns on embodiment. It is a block diagram which shows the principal part structure of the electric system of the crime risk evaluation apparatus which concerns on embodiment. It is a schematic diagram which shows the main memory content of the hard disk with which the crime risk evaluation apparatus which concerns on embodiment was equipped. It is a schematic diagram which shows the structure of the suspicious person level value database which concerns on embodiment. It is a schematic diagram which shows the structure of the fault tree database which concerns on embodiment. It is a top view with which it uses for description of the alert line and building which concern on embodiment. It is a schematic diagram which shows the structure of the vulnerability level value database which concerns on embodiment. It is a flowchart which shows the flow of a process of the intrusion position weakness level derivation processing program which concerns on embodiment. It is the schematic which shows the example of a display state of the corresponding item input screen which concerns on embodiment. It is a schematic diagram with which it uses for description of the process by the intrusion position weakness level derivation | leading-out processing program which concerns on embodiment. It is a flowchart which shows the flow of a process of the crime risk evaluation processing program which concerns on embodiment. It is a schematic diagram with which it uses for description of the process by the crime risk evaluation processing program which concerns on embodiment. It is another schematic diagram with which it uses for description of the process by the crime risk evaluation processing program which concerns on embodiment. It is the schematic which shows the example of a display state of the evaluation result screen which concerns on embodiment. It is a schematic diagram which shows the structure of the modification of the suspicious person level value database which concerns on embodiment.

Explanation of symbols

10 Crime risk assessment device 14 Keyboard 16 Mouse 18 Display (display means)
22 CPU (derivation means)
28 Hard disk 60 IC tag 62 Entrance detection device (detection means)
64 Door open sensor (detection means)
68 Window breaking sensor (detection means)
80 Vibration sensor (detection means)
DT1, DT1 'Suspicious person level database DT2 Fault tree database DT3 Vulnerability level database

Claims (10)

An acquisition means for acquiring a vulnerability level value indicating a level of vulnerability to a crime at a plurality of predetermined intrusion positions leading to an asset stored in a building;
Detecting means for detecting a suspicious person who has entered the building;
If the suspicious person is detected by the detection means, either or both of the intrusion status of the suspicious person and the legitimacy level of the suspicious person are acquired in advance corresponding to the intrusion situation and the legitimacy level. A suspicious person level value obtaining means for obtaining a predetermined suspicious person level value;
The criminal risk evaluation value indicating the level of risk for crimes by the suspicious person in the asset for all intrusion routes from the position of the suspicious person detected by the detecting means to the storage position of the asset. Derivation means for deriving based on the fragile level value acquired by the suspicious person level value acquisition means and the suspicious person level value acquired by the suspicious person level value;
Display means for displaying information on the crime risk evaluation value derived by the derivation means;
Crime risk assessment device with The crime risk evaluation apparatus according to claim 1, wherein the display means displays information indicating an intrusion route having the highest crime risk evaluation value as information on the crime risk evaluation value when there are a plurality of intrusion routes. The derivation means uses i as the number assigned to each suspicious person, j as the number assigned to each asset storage position, and Uij as the suspicious person level value acquired for the suspicious person i. The value indicating the probability of identifying the suspicious person i as a criminal with respect to the asset located at the storage position j, and Fij being the maximum vulnerability level value from the position of the suspicious person i to the asset located at the storage position j. The crime according to claim 1 or 2, wherein the maximum value Lmax of expected damage value is derived as the crime risk evaluation value by the following arithmetic expression, where Aj is the value of the asset located at the storage position j: Risk assessment device.

The crime risk evaluation apparatus according to any one of claims 1 to 3, wherein the acquisition unit acquires the vulnerability level value as a value corresponding to a predetermined condition related to a crime at the intrusion position. The crime risk evaluation apparatus according to claim 4, wherein the acquisition unit assumes a plurality of levels of warning lines centered on the asset storage position, and acquires the vulnerability level value for each warning line. The warning line includes a first warning line that is a boundary line leading to the building site, a second warning line that is a boundary line leading to the interior of the building, and a boundary line leading to the room of the room where the asset exists. The crime risk evaluation apparatus according to claim 5, comprising at least one of four warning lines: a third warning line that is a fourth warning line that is a boundary line leading to the asset itself. The predetermined condition regarding the crime at the intrusion position is configured for each warning line,
The acquisition means is configured such that the vulnerability level value for each warning line is set in accordance with the corresponding warning line, and a plurality of conditions in which a crime is established only when any one of them is established. Applying the highest value of each satisfaction level for a condition and applying the value obtained by multiplying each satisfaction level for the plurality of conditions for multiple conditions in which a crime is established only when all are satisfied The crime risk evaluation apparatus according to claim 5 or 6. An acquisition step for acquiring a vulnerability level value indicating a level of vulnerability to crime at a plurality of predetermined intrusion positions leading to an asset stored in a building;
When a suspicious person who has entered the building is detected, either or both of the suspicious person's intrusion status and the suspicious person's legitimacy level are acquired to correspond to the intrusion situation and the legitimacy level. A suspicious person level value acquisition step for acquiring a predetermined suspicious person level value;
The criminal risk evaluation value indicating the level of risk for the crime by the suspicious person in the asset for all intrusion routes from the detected position of the suspicious person to the storage position of the asset is acquired by the acquiring step. A derivation step for deriving based on the fragile level value and the suspicious person level value acquired by the suspicious person level value acquiring step;
A display step for displaying information on the crime risk evaluation value derived by the deriving step;
Crime risk assessment program that runs a computer. The crime risk evaluation program according to claim 8 , wherein, when there are a plurality of intrusion routes, the display step displays information indicating an intrusion route having the highest crime risk evaluation value as information on the crime risk evaluation value. In the derivation step, i is a number assigned to each suspicious person, j is a number assigned to each asset storage position, and Uij is specified by the suspicious person level value acquired for the suspicious person i. The value indicating the probability of identifying the suspicious person i as a criminal with respect to the asset located at the storage position j, and Fij being the maximum vulnerability level value from the position of the suspicious person i to the asset located at the storage position j. 10. The crime according to claim 8 or 9 , wherein the maximum value Lmax of expected damage value is derived as the crime risk evaluation value by the following arithmetic expression, where Aj is the value of the asset located at the storage position j: Risk assessment program.

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