JP2008035367A - Monitoring apparatus selection program, selecting device, and selection method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To quickly select a monitoring apparatus installed within a range related to a certain reference place from among the plurality of monitoring apparatuses even though the number of the plurality of monitoring apparatuses is huge when the installation positions of the plurality of monitoring apparatuses are managed. <P>SOLUTION: In this monitoring apparatus selection program, the position of a place where a disaster or the like takes place as a reference place to be reference for selection is designated. Range designation information for designating a range (selection range) related to the reference place is designated (S102). Only cameras present within the selection range related to the reference place are selected from among managed cameras. The range designation information includes information of a straight distance from the reference place, a distance from a river or the like which flows through the reference place, and the position, etc., of an endpoint of the reference place when the reference place has extent. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a program, an apparatus, and a method for selecting a monitoring apparatus installed in a range related to a designated reference place from a plurality of monitoring apparatuses whose installation positions are managed by a management system.

  A large number of surveillance cameras are installed in facilities and areas managed by various organizations such as roads, bridges and rivers. In addition, a system (hereinafter referred to as a “camera management system”) for managing the installation positions of these cameras and videos taken by these cameras has been constructed.

  FIG. 13 shows an example of a conventional camera management system. In FIG. 13, a plurality of cameras (101-1 and 101-2) and a camera management server 102 are connected via a network, and the camera management server 102 writes the camera information database 103 (hereinafter “database” as “DB”). ) To manage those multiple cameras. The camera information DB 103 stores camera information including the name of each camera, video information such as an address to be accessed in order to view a moving image taken by the camera, and position information related to the installation position of the camera.

A user of the camera management system can access the camera management server 102 from the client 104 via a network (not shown).
The camera management server 102 acquires information (camera name and position information) necessary for the user to select a camera from the camera information DB 103 and transmits the information to the client 104. Based on the transmitted information, on the screen 107 of the client 104, a camera list screen 105, a map position information screen 106 in which icons indicating the positions of the cameras are displayed on a map and the like are displayed. The user selects a desired camera from the camera list screen 105 and the map position information screen 106 by operating the mouse. Then, since information indicating which camera has been selected is transmitted to the camera management server 102, the camera management server 102 transmits the video captured by the selected camera to the client 104. In a conventional camera management system, a user can display a necessary video on the screen 107 of the client 104 by selecting a camera as described above.

  FIG. 14 shows another example of a conventional camera management system. In the example of FIG. 14, there are four camera management systems A to D (100A to 100D) having the same functions as those of the camera management system of FIG. The camera management system 100D is connected to the other three camera management systems (100A to 100C) via a network, and the camera information DB (103A to 103C) managed by the other camera management systems (100A to 100C). ) In cooperation with the other three camera management systems (100A to 100C). In FIG. 14, only one camera (101A to 100D) is shown for each camera management system (100A to 100D), but each camera management system (100A to 100D) actually manages a plurality of cameras. is doing.

  For example, the user of the camera management system D (100D) can access the camera management server 102D of the camera management system D (100D) via a network (not shown) as in FIG. At this time, the camera management server 102D of the camera management system D (100D) simply obtains information necessary for the user to select a camera from the camera information DB (103D) of the camera management system D (100D). Instead, it is also acquired from the camera information DB (103A to 103C) of the other three linked camera management systems (100A to 100C). As a result, all the cameras (101A to 101D) managed by the four camera management systems (100A to 100D) are displayed on the screen 107 of the user client 104 as the camera list screen 105 and the map position information screen 106. can do.

  Therefore, the user can view the video shot by the desired camera without worrying about the difference in which camera management system the camera is managing. For example, in FIG. 14, the user is accessing the camera management server 102D of the camera management system D (100D), but the camera 101C managed by the camera management system C (100C) may be selected as a desired camera. it can. In this way, information about existing cameras is shared by the cooperation of a plurality of camera management systems.

  By the way, video technology has been generalized due to recent technological improvements, and the number of surveillance cameras has been dramatically increased. That is, the number of cameras managed by the camera management system of FIG. 13 and the individual camera management systems of FIG. 14 is increasing. Furthermore, with the recent spread of IP (Internet Protocol) networks, a mechanism in which a plurality of camera management systems (100A to 100D) cooperate as shown in FIG. As a result, in FIG. 14, the cameras that can be used by the user have become widespread, and the number of cameras has been greatly increased.

  Thus, when the number of cameras that can be used is enormous, there is a problem that it is difficult to quickly select a necessary video. This problem can be solved by measures such as a camera management system storing a predetermined camera for each user, for example, when the user always sees only images shot by the predetermined camera. However, it is not possible to cope with a case where it is important to select a necessary video quickly, since it is not determined in advance which camera image is necessary.

  For example, consider a case where a person in charge of disaster prevention uses the camera management system D (100D) in FIG. It is unclear when and where a disaster occurs, and the extent to which it is affected varies depending on the type and extent of the disaster. However, when a disaster occurs, it is desirable that a user (disaster prevention person in charge) selects a camera included in the range, and responds to the disaster while referring to images taken by those cameras. However, the range is not predetermined and is indefinite. In addition, since the response to the disaster should be made promptly, the selection of the camera must also be made promptly.

  On the other hand, in the conventional camera management system as shown in FIG. 14, if the number of cameras that can be used is enormous, the necessary video can be quickly displayed if there is no predetermined range as to which video should be captured by which camera. There was a problem that it was difficult to select.

  First of all, the difficult reason is that it takes time to select only the necessary ones from a huge number. The second reason is that the user has the knowledge necessary for selection and needs to make a selection based on that knowledge, so it is impossible to make the selection appropriately and quickly depending on the amount of knowledge. Can be mentioned. For example, even if all the available cameras are listed with the address of the installation location, users who do not have knowledge cannot grasp the geographical positional relationship from the address, so determine which camera should be selected Can not do it. Of course, this is not a quick choice.

In addition, although patent document 1 has described the disaster prevention system provided with the surveillance camera, this problem is not solved. In the disaster prevention system described in Patent Document 1, when an abnormality such as a fire occurs, a plan layout diagram of the abnormality occurrence location prepared in advance is automatically selected by a notification signal from a disaster prevention sensor installed in the monitoring area. Display on the display screen as well as on-site images captured by a surveillance camera that supports the disaster prevention sensor. However, this disaster prevention system only displays the video of the location corresponding to the information of the specific location of the disaster occurrence place, and does not consider the influence and spread of the disaster over a certain range. Therefore, the above problem cannot be solved.
Japanese Patent No. 3196041

  An object of the present invention is to monitor a plurality of monitoring devices installed in a range related to a certain reference location when the installation positions of the plurality of monitoring devices are managed, particularly when the number of the monitoring devices is enormous. It is to be able to quickly select from.

  For example, the monitoring device is a monitoring camera, the reference location is a place where a certain disaster occurs, and the range is a range affected by the disaster.

  The monitoring device selection program according to the present invention is a monitoring device selection program for selecting a part of monitoring devices from a plurality of monitoring devices, and specifies reference location information indicating a reference location that is a reference location for selection. A first step, a second step of designating range designation information for defining a selection range that is a range related to the reference location, and an installation position of the monitoring device for each of the plurality of monitoring devices A database for managing installation position information is searched, and for each of the plurality of monitoring devices, it is determined whether or not the installation range of the monitoring device is included in the selected range, and the monitoring device determined to be included The third step of selecting is executed by the computer.

  Depending on the embodiment, the contents of the reference location information and the range designation information differ, and the selection range differs accordingly. In one embodiment, the reference location is one point, the reference location information is information indicating the position of the one point, and the range designation information is a distance b from the reference location and a line passing through the reference location. And a value g indicating a distance from a predefined line. In another embodiment, the reference location is a predetermined specific range, the reference location information is information for identifying the specific range, and the range designation information includes n pieces of n-gons including the specific range. And the selection range is inside the n-gon.

  The monitoring device selection device according to the present invention is a device that operates according to the above-described program, and the monitoring device selection method according to the present invention is a method that causes the computer to execute the above-described program.

  According to the present invention, by specifying the reference location information indicating the reference location and specifying the range specification information for determining the range related to the reference location, the installation is performed within a certain range related to the reference location. The selected monitoring device is automatically selected. That is, the selection is made in consideration of not only the reference location but also a range having a certain spread. Therefore, the present invention is suitable when a certain range is affected from a certain reference location, such as when a disaster occurs, and the monitoring device should be selected in consideration of the range. Further, since the selection is made automatically, even if the number of the plurality of monitoring devices is enormous, it is possible to make a quick selection.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a flowchart for explaining the principle of the present invention. As will be described later, the present invention can be implemented in various forms, and FIG. 1 shows a principle common to these embodiments.

  The process shown in FIG. 1 is executed by a computer that can access a database that manages installation position information of a plurality of monitoring devices (for example, a plurality of cameras installed for monitoring). For example, when the monitoring device is a camera, a camera that captures a necessary video is selected from the plurality of cameras by the process of FIG. 1 and a selection result is output.

In step S101, reference location information indicating a reference location that is a reference location is designated. That is, the reference location information data is stored in the memory.
The reference location may be a single point or a range having a certain spread. The former example is a point where a disaster has occurred. For example, the reference location information can be expressed by the latitude and longitude of the point. The latter example is a district where a weather warning is issued. For example, the reference location information can be expressed by the identification number of the district.

  As the reference location information, data input to a computer by a human via an input device may be designated, and the disaster prevention information management server in cooperation with an existing disaster prevention information management server 108 (described later in conjunction with FIG. 2) or the like. Data transmitted from 108 may be designated. If reference place information is designated, it will transfer to Step S102.

  In step S102, range designation information is designated. That is, data of range designation information is stored in the memory. The range designation information is one or more parameters for defining a selection range that is a range related to the reference place, and varies depending on the embodiment.

  For example, when an earthquake occurs, you may want to see the image of a camera installed within a radius of 10 km from the epicenter. In this case, the reference location is the epicenter, and the range designation information is a distance of 10 km.

  In addition, when a flood occurs in a river, for example, there is a case where it is desired to see an image of a camera installed in a range of 15 km downstream from an observation station that has observed a water level exceeding a warning water level. In this case, the reference location is the point of the observation station. The range designation information may be a combination of a downstream direction and a distance of 15 km, may be substituted with a distance from the observation station instead of a distance of 15 km along the river, and further, the distance from the river May be included.

  Alternatively, when a weather warning occurs, for example, it may be desired to view an image of a camera installed in the area where the warning is issued. The weather warning is announced in units of secondary subdivisions that are divided into several subdivisions. In this case, the reference location is the secondary subdivision area. By the way, the secondary subdivision is irregular. Therefore, for simplification of processing, the range designation information includes information indicating the northernmost, southernmost, eastern, and westernmost points of the secondary subdivision area (for example, the latitudes of the northernmost and southernmost points, and the easternmost and West longitude may be specified.

  It should be noted that data input by a human to the computer via the input device may be specified as the range specification information, or a default value may be specified, and the disaster prevention information management server cooperates with the existing disaster prevention information management server 108 or the like. Data transmitted from 108 may be designated. For example, by setting a value of “10 km” as a default value in advance and specifying it as range specification information, a range within a radius of 10 km from the reference location can be defined as the selection range as in the above example. . In addition, when the disaster prevention information management server 108 sends data such as “there is a great influence within the radius of 20 km from the epicenter,” together with the location of the epicenter of the earthquake, the “20 km” is designated as the range designation information. You may specify as When the range designation information is designated, the process proceeds to step S103.

  In step S103, the variable L is initialized. The value of variable L is stored in the memory. The variable L is a variable representing the selection result. For example, the selection result may be represented by a list of identifiers of the selected monitoring devices. In this case, initialization is performed by substituting an empty list for the variable L in step S103. After initialization, the process proceeds to step S104.

  Steps S104 to S108 form a repeated loop. This loop is repeated as many times as the number of all available monitoring devices. In addition, all the monitoring apparatuses which can be used are all the monitoring apparatuses whose installation position information is managed by a database which can be used by a computer which executes the process of FIG. Details will be described later in conjunction with FIG.

  In step S104, it is determined whether or not all the available monitoring devices have been checked. If all the monitoring devices have been checked, the process proceeds to step S109. If there is a monitoring device that has not been checked, the process proceeds to step S105.

In step S105, one monitoring device that has not been checked by searching the database is selected, and the process proceeds to step S106.
In step S106, a selection range comparison process is executed. The selection range comparison process checks whether or not the installation position of the monitoring device selected in step S105 is included in the selection range determined by the reference location information specified in step S101 and the range specification information specified in step S102. This process returns the result.

  Note that the specific contents of the selection range comparison process are strongly related to what range designation information is designated in step S102 and vary depending on the embodiment. Details will be described later with reference to FIGS. After execution of the selection range comparison process, the process proceeds to step S107.

  In step S107, a determination is made based on the result of the selection range comparison process in step S106. If the monitoring device selected in step S105 is within the selection range, the process proceeds to step S108, and if it is outside the selection range, the process returns to step S104.

  In step S108, since it has been found that the monitoring device selected in step S105 is within the selection range, this is added to the variable L. For example, when the variable L is expressed as a list of monitoring device identifiers, the identifier of the monitoring device selected in step S105 is added to the list to update the value of L. Thereafter, the process returns to step S104.

  Step S109 is executed when all the available monitoring devices have been checked. In step S109, the variable L in which the selection result is stored is output, and the series of processing ends. Note that the variable L simply holds the selection result, and what is actually presented to the user based on the variable L (what is displayed on the screen and how) differs depending on the embodiment.

  Next, an example of the system configuration of the present invention will be described with reference to FIG. In the example of FIG. 2, the monitoring device to be selected is a camera, and the present invention is used to select a camera installed in a range affected by the disaster when a disaster occurs.

  FIG. 2 has a configuration in which a part of the conventional camera management system of FIG. 14 is changed, and therefore, the difference will be mainly described below. FIG. 2 differs from FIG. 14 in that it is first linked with the disaster prevention information management server 108, and secondly, the user needs to manually select a desired camera from an enormous number of cameras. There is no point.

  The first difference is not an essential requirement for carrying out the present invention. However, by cooperating with the disaster prevention information management server 108, it is unnecessary to manually specify the reference location information at the time of a disaster (step S101 in FIG. 1). Therefore, it is desirable because a necessary camera can be selected more quickly and the degree of dependence on the amount of knowledge of the user is reduced.

  Here, the disaster prevention information management server 108 is a server that manages information related to floods, earthquakes, accidents, etc., as long as it has means for reporting the location of the disaster to the outside via the network. It doesn't matter what. For example, the installation position of observation equipment such as a meteorometer and seismic intensity meter and the observation result are managed. If the observation result indicates the occurrence of a disaster, the latitude and longitude of the disaster occurrence location are reported to the camera management server 102D. The prepared disaster prevention information management server 108 can be used in the present invention. Further, the disaster prevention information management server 108 may further report the range designation information to the camera management server 102D.

  The second difference is that it is not necessary for the user to use the camera list screen 105 and the map position information screen 106 as shown in FIGS. 13 and 14 in order to select a necessary camera from a huge number of cameras. It is a point. When the user accesses the camera management server 102D via the client 104, the camera management server 102D performs the processing shown in FIG. 1, so that the camera 107 selected according to the reference location information and the range designation information is displayed on the screen 107 of the client 104. A list of only images or videos taken with the selected camera is displayed. Therefore, even if the user further performs a selection operation from the list, it is only necessary to select from the cameras whose number has already been narrowed down by the camera management server 102D. it can. Further, as in the example of FIG. 2, when only one camera 101 </ b> B is selected, the video captured by the camera 101 </ b> B may be output as it is to the screen 107 of the client 104.

  In the case of a configuration in which a plurality of camera management systems (100A to 100D) are linked as shown in FIG. 2, in step S104 of FIG. 1, the server itself (camera management server 102D) executing the processing of FIG. It is determined whether all the cameras managed by the camera information DB (103D) held by the camera or the camera information DB (103A-103C) held by the other camera management servers (102A-102C) have been examined. Since the four camera information DBs (103A to 103D) are the same in that they can be referred from the camera management server 102D if they are linked as shown in FIG. 2, they are not distinguished in FIG.

  Next, an example of how a monitoring device to be selected in the present invention is managed in a database will be described with reference to FIG. The monitoring device to be selected in the example of FIG. 3 is a camera, and FIG. 3 shows an example of the data structure of camera information. The camera information of FIG. 3 is stored in the camera information DB (103A to 103D) of FIG.

  The “term” column in FIG. 3 is a number for convenience of reference. Each item of the camera information data is shown in the “Item” column. The “content” column is a description of the contents. In order to show the relevance of a plurality of items that are semantically related, FIG. 3 shows them hierarchically. For example, “installation location” (5th to 27th term) includes information such as “latitude” (6th to 9th term) and “longitude” (10th term to 13th term), and “latitude” represents “degree”. It consists of “minutes” and “seconds”. Data that is actually managed corresponds to an item (for example, “degree” in the seventh term) that does not have a layer below itself in this hierarchy.

  As shown in FIG. 3, the camera information includes a unique “camera number” for identifying the camera, “name” and “name (reading)” of the camera, “installation location”, and “moving image stream information”. In the example of FIG. 3, by accessing a specific URL (Uniform Resource Locator) corresponding to each camera, a video (moving picture) captured by the camera and encoded by MPEG2 (Moving Picture Experts Group 2) or MPEG4 is used. The premise is that it can be seen. Therefore, “video stream information” is managed in addition to “installation location”.

  Next, the fact that steps S102 and S106 in FIG. 1 differ depending on the embodiment will be described based on a specific example. As a specific example, the first embodiment, the second embodiment, the third embodiment, and modifications thereof will be described in order. In the first embodiment, the second embodiment, and the third embodiment, the monitoring device to be selected is a camera (surveillance camera), and when a disaster occurs, a camera installed in a range affected by the disaster is selected. This example is based on the system configuration of FIG. 2 and the camera information of FIG.

FIG. 4 is an explanatory diagram of the first embodiment. In the first embodiment, the reference location 201 is a certain point, and the selection range is a range in which the distance from the reference location is a predetermined value b or less.
For example, when a disaster such as an earthquake or typhoon occurs, the center location of the epicenter or typhoon becomes the reference location 201. In the event of a disaster, it is necessary to display the video of a camera installed near the reference location 201 on the screen of the client 104. However, in the conventional systems such as FIG. 13 and FIG. 14, it is necessary for the user to compare the position information of the reference location 201 and the installation position information of the camera as numerical values or on the map, and to select the camera. Relying on human hands. As a result, no one could quickly select the necessary camera.

  Therefore, in the first embodiment of the present invention, given position information of the reference location 201 and a certain distance b (hereinafter, this distance is referred to as a narrowing range), the distance from the reference location 201 is reduced. Only cameras installed in the range below b (selected range; shaded portion in FIG. 4) are automatically selected. In the example of FIG. 4, the linear distance d1 between the camera back 101X and the reference location 201 is less than or equal to the narrowing range b, and the linear distance d2 between the camera B 101Y and the reference location 201 is larger than the narrowing range b. 101X is selected, but camera B 101Y is not selected.

This selection is realized by performing the process shown in FIG. 5 as the selection range comparison process in step S106 in the flowchart of FIG.
In step S101 in FIG. 1, the latitude and longitude of the reference location 201 are designated as reference location information. In step S102, the narrowing range b is designated as range designation information. These may specify data input by the user via the input device, or may specify data acquired from the disaster prevention information management server 108 in FIG. It is also possible to provide a predetermined value for the narrowing-down range b and specify it.

Steps S103 to S105 are as described above with reference to FIG. 1. In the first embodiment, the “monitoring device” is a camera.
In the first embodiment, step S106 in FIG. 1 corresponds to calling the selection range comparison process in FIG. The arguments in the selection range comparison process of FIG. 5 are information for identifying the camera selected in step S105, reference location information for the reference location 201 specified in step S101, and a narrowing range b specified in step S102.

  Since the first embodiment has a system configuration as shown in FIG. 2, the information for identifying the camera is information about which camera information DB (103A to 103D) manages the camera and the camera. This is a combination with the camera number (second term in FIG. 3) in the information DB. If the system configuration is such that a plurality of camera management systems are not linked, the camera can be identified only by the camera number.

  In step S201 in FIG. 5, a camera information DB (any one of 103A to 103D) that manages the camera specified by the argument is searched, and the latitude and longitude in which the camera is installed (sixth to sixth in FIG. 3). 13). The obtained value is stored in the memory, and the process proceeds to step S202.

  In step S202, the distance d between the installation position of the camera designated by the argument and the reference location is calculated. The distance d is a linear distance. Here, since the reference place information given as an argument is latitude and longitude, the sum of the square of the difference of latitude and the square of the difference of longitude is calculated from the latitude and longitude obtained in step S201 and the reference place information. By calculating the square root, the distance d can be calculated. The calculated distance d is stored in the memory, and the process proceeds to step S203.

  In step S203, it is determined whether the distance d is less than or equal to the narrowing range b. If d ≦ b, the determination is yes and the process proceeds to step S204. If d> b, the determination is no and the process proceeds to step S205.

In step S204, True is returned as a value indicating that d ≦ b (that is, the camera specified by the argument is within the selection range), and the process ends.
In step S205, False is returned as a value indicating that d> b (that is, the camera specified by the argument is out of the selection range), and the process ends.

  When the selection range comparison process is completed as described above, the processing returns to FIG. In step S107, if the return value in step S106 is True, it is determined that it is within the selection range, and if it is False, it is determined that it is outside the selection range. Steps S108 and S109 are as described above.

  Note that L output in step S109 indicates the camera selection result. Therefore, based on the selection result, a list of selected cameras may be displayed on the screen 107 of the client 104, or videos shot by the selected camera may be displayed on the screen 107 of the client 104. . When there are a plurality of cameras selected in the latter case, the screen may be divided into a plurality of sections and the images of the plurality of cameras may be displayed respectively.

  FIG. 6 is an explanatory diagram of the second embodiment. In the second embodiment, the reference location 201 is a certain point, and is a location along the line 202 such as a river or a road. In this case, it is preferable to define the selection range based on both the distance from the reference location 201 and the distance from the line 202. However, in general, a river or a road is a line 202 having a complicated trajectory. Depending on how the line 202 is represented on the data, it is impossible or difficult to calculate the actual distance between an arbitrary point and the line 202. is there. Therefore, in the second embodiment, another distance that is a substitute for the actual distance from the line 202 is used.

  For example, in the event of a disaster such as when the water level of a river reaches a warning water level or when an accident occurs on a road, the reference location 201 is the location where the water level is measured or where the accident has occurred. In addition, it is necessary to display the video of the cameras installed along the rivers and roads on the screen of the client 104. However, in conventional systems such as FIG. 13 and FIG. 14, the user compares the location information of the reference location 201, camera installation location information, and information about where and how the river or road passes on the map. There was a need, and I relied on hand selection of the camera. As a result, no one could quickly select the necessary camera.

  Therefore, in the second embodiment of the present invention, it is assumed that a line 202 such as a river or a road is represented in the data as a series of a plurality of base points (203-1, 203-2,..., 203-11). Originally, given the position information of the reference location 201, the narrowing range b, and the distance g from the base point (hereinafter, this distance g will be referred to as the rail line range g), the shaded portion (selection range) in FIG. Only the cameras installed in () are automatically selected as the cameras related to the reference location 201. Specifically, the distance from the base point (any one of 203-2, 203-3,..., 203-10) at a position where the distance from the reference location 201 is equal to or smaller than the narrowing range b is equal to or smaller than the rail line range g. The range becomes the selection range.

  That is, in the second embodiment, the actual distance between the line 202 and the camera itself is not used to indicate the distance between the line 202 and the camera, but the base point (203-2, 203-3, ..., 203-10). Either) or camera distance. If the distance between the base points is appropriate, even if the line 202 is expressed as a line connecting the base points (203-1,..., 203-11) in a broken line shape, it does not deviate so much from the locus of the actual line 202. The distance between the base point and the camera is not significantly different from the distance between the line 202 and the camera. Further, the distance between the base point and the camera can be easily calculated. Therefore, in the second embodiment, using the distance between the base point (any one of 203-2, 203-3,..., 203-10) and the camera to indicate the distance between the line 202 and the camera is the amount of processing, It takes into account the balance between processing time and the validity of the results.

In FIG. 6, the reference location 201 is also the base point 203-6, but the reference location 201 does not necessarily have to be the base point.
In the example of FIG. 6, the linear distance from the reference location 201 to the base point 203-8 (hereinafter, the linear distance from the reference location 201 to a base point is referred to as the base point distance f of the base point) is equal to or less than the narrowing range b. The camera A 101X is selected because the linear distance d1 from the base point 203-8 is equal to or less than the rail line range g. On the other hand, the camera B 101Y is not selected because the linear distance d2 from any base point (203-2 to 203-10) at which the base point distance f from the reference location 201 is equal to or smaller than the narrowing range b is larger than the rail line range g. .

By selecting in this way, it is possible to select only the cameras installed in the range related to the reference location 201 in consideration of the distance from both the reference location 201 and the line 202.
This selection is realized by performing the process shown in FIG. 8 as the selection range comparison process in step S106 in the flowchart of FIG. 1, but before explaining FIG. 8, the data used in the second embodiment is selected. The configuration will be described with reference to FIGS. 7A to 7D. 7A to 7D show the data structure in the same format as in FIG.

FIG. 7A shows an example of the data structure of route information. When the line 202 is a road, the route information in FIG. 7A includes a unique number for identifying the route, a name, and a reading name.
FIG. 7B shows an example of the data structure of water system information, and FIG. 7C shows an example of the data structure of river information. When the line 202 is a river, the water system information for identifying the water system to which the river belongs is managed together with the river information. The water system information in FIG. 7B includes a unique number for identifying the water system, a name, and a reading pseudonym. The river information in FIG. 7C includes a water system (represented using a water system information number) to which the river belongs in addition to a unique number, name, and reading pseudonym for identifying the river. By managing the hierarchies in two stages of water system information and river information in this way, it is expressed in the data that a plurality of rivers belonging to the same water system are related to each other. This is used in a modification of the second embodiment described later.

  As described above, in the second embodiment, the line 202 is expressed as a series of a plurality of base points (203-1, 203-2,...). For example, when the line 202 is a road, these base points are kilometer posts (distance markers) on the road, and when the line 202 is a river, these base points are observations with a kilometer post installed along the river, a water level gauge, etc. Station. In order to express the line 202 as a series of base points, it is not important to distinguish whether the base point is a kilopost or an observation station.

  FIG. 7D shows an example of the data structure of along-track base point information. The roadside base point information of FIG. 7D includes information on which line 202 (type, roadside number), what (number), and where (latitude, longitude, kilopost display). For example, in the route information of FIG. 7A, the expression on the data of the route whose “number” is 15 is a record where the “type” is road and the “railway number” is 15 (each record corresponds to each base point). ). That is, the line 202 is expressed by connecting the latitude and longitude of each record in the order of the size of the kilometer post display.

  Note that the route information, water system information, river information, and route base information shown in FIGS. 7A to 7D may be managed by the disaster prevention information management server 108 in FIG. 2, for example, any of the camera management systems 100A to 100D. May be managed. Alternatively, it may be managed by another system (not shown) so that data can be referred to from the camera management system 100D.

Next, processing performed in the second embodiment will be described with reference to the flowcharts of FIGS.
In step S101 in FIG. 1, the latitude and longitude of the reference location 201 are designated as reference location information. In step S102, information specifying which line 202 the reference place 201 is along, the narrowing range b, and the line range g are specified as range specifying information. These may specify data input by the user via the input device, or may specify data acquired from the disaster prevention information management server 108 in FIG. In addition, predetermined values for the narrowing-down range b and the railway line range g can be provided and designated.

Steps S103 to S105 are as described above with reference to FIG. 1. In the second embodiment, the “monitoring device” is a camera.
In the second embodiment, step S106 in FIG. 1 corresponds to calling the selection range comparison process in FIG. Arguments in the selection range comparison process of FIG. 8 are information for identifying the camera selected in step S105, reference location information for the reference location 201 specified in step S101, designation of the railway line specified in step S102, and narrowing range b, Line range g. Here, the information for identifying the camera is the same as in the first embodiment. Further, the information for designating the line is specifically information corresponding to the “type” and “line number” in FIG. 7D.

  In step S301 in FIG. 8, a camera information DB (any one of 103A to 103D) that manages the camera specified by the argument is searched, and the latitude and longitude in which the camera is installed (sixth to sixth in FIG. 3). 13). The obtained value is stored in the memory, and the process proceeds to step S302.

In step S302, a set Z of base points whose distance from the reference location 201 specified by the argument is within the narrowing range b along the line specified by the argument is obtained.
For example, let us consider a case where an accident occurs on a route (road) whose number is 15 in FIG. 7A. The latitude and longitude of the reference place 201, that is, the place where the accident occurred is specified as an argument as reference place information. To calculate the set Z, first, the set Z is initialized to be an empty set. Next, as the information for designating the line, a record in which “type” is road and “line number” is 15 is searched from the line base point information of FIG. 7D. Each record that matches the search condition corresponds to each base point on this route. For each of these base points, the latitude and longitude of the installation location are read from the along-base point information, and a base point distance f that is a linear distance to the reference location 201 is calculated. If f ≦ b, the base point is added to the set Z, and f> b Then go to the next record without doing anything.

  The set Z calculated as described above is a set of nine base points {base point 203-2, base point 203-3,..., Base point 203-10} in the example of FIG. Specifically, for example, the set Z may be expressed as a list of line numbers (fourth term) in FIG. 7D. When the set Z is stored in the memory, the process proceeds to step S303.

  Steps S303 to S306 form an iterative loop, and the process is repeated for each base point included in the set Z. If one of them is determined as Yes in step S306, the process exits the iterative loop.

  In step S303, it is determined whether or not all base points included in the set Z have been examined. If there are base points that have not been examined yet, the process proceeds to step S304. If all the base points have been examined, the process proceeds to step S308.

  In step S304, one base point that has not been examined yet is selected from the base points included in the set Z, and the latitude and longitude of the base point are obtained. Note that the latitude and longitude of the base point may be stored in a local memory when read in step S302 and read in step S304. The line base point information in FIG. 7D is retrieved and read again in step S304. May be. In any case, when the latitude and longitude of one base point are read out, they are stored in the memory and the process proceeds to step S305.

  In step S305, a distance d between the installation position of the camera designated by the argument and the base point selected in step S304 is calculated. The distance d is a linear distance. That is, the distance d is calculated from the latitude and longitude obtained in step S301 and the latitude and longitude obtained in step S304. The calculated distance d is stored in the memory, and the process proceeds to step S306.

  In step S306, it is determined whether or not the distance d is equal to or less than the rail line range g. If d ≦ g, the determination is yes and the process proceeds to step S307. If d> g, the determination is no and the process returns to step S303.

  In step S307, a value indicating that there is a camera designated by an argument where the distance from at least one of the base points included in the set Z is equal to or less than the rail line range g (that is, this camera is within the selected range). True is returned, and the process ends.

  In step S308, the camera specified by the argument returns False as a value indicating that the distance from any of the base points included in the set Z is greater than the rail line range g (that is, this camera is outside the selection range). Finish.

  When the selection range comparison process is completed as described above, the processing returns to FIG. In the second embodiment, the linear distance between the reference location 201 and the camera and the actual linear distance between the line 202 and the camera are not calculated. Instead, the base point distance f is used to consider the distance from the reference location 201, and the straight line distance from the base point is used to consider the distance from the line 202. This method is adopted in consideration of the fact that there is existing roadside base point information (FIG. 7D) that can be used, and that the format shown in FIG.

  It should be noted that if the base points are too far apart, the small shaded circles in FIG. 6 do not continue and camera selection may be omitted, so that an appropriate number of base points are managed as track base point information. It is desirable to do.

  Returning to FIG. 1 from FIG. 8, in step S107, if the return value in step S106 is True, it is determined that it is within the selection range, and if it is False, it is determined that it is outside the selection range. Steps S108 and S109 are as described above.

  Note that L output in step S109 indicates the camera selection result. Therefore, based on the selection result, a list of selected cameras may be displayed on the screen 107 of the client 104, or videos shot by the selected camera may be displayed on the screen 107 of the client 104. . If there are a plurality of cameras selected in the latter case, the screen may be divided into a plurality of sections and the images of the plurality of cameras may be displayed respectively.

  FIG. 9 is an explanatory diagram of the third embodiment. In the third embodiment, the reference place 201 is an area having a certain spread, for example, a specific area, a municipality, or the like. The selection range is a rectangular range including the reference location 201, and is a shaded portion in FIG.

  For example, when a weather warning is issued, the secondary subdivision area targeted for the warning becomes the reference place 201, and the reference place 201 is a place having a certain spread. It is also necessary to display images of cameras installed in this specific secondary subdivision area and cameras installed in neighboring areas. However, in the conventional systems such as FIG. 13 and FIG. 14, it is necessary for the user to select the camera by comparing the name of the reference location 201 and the address included in the camera installation position information. For this reason, users without geographic prior knowledge (for example, do not know the correspondence between the name and address of the secondary subdivision that is the unit when a weather warning is issued, or know the name of a block adjacent to a block. Users who have not been able to select the necessary cameras quickly.

  Therefore, in the third embodiment of the present invention, when the position information of the reference place 201 and the position information indicating the four vertices of the rectangular area including the reference place 201 are given, they are installed in the shaded portion of FIG. Only the selected camera is automatically selected as the camera related to the reference location 201. Specifically, when a rectangle including the reference location 201 is designated, the inside of the rectangle becomes the selection range.

  In the example of FIG. 9, the reference location 201 has an irregular shape. When the longitude is the x axis and the latitude is the y axis, the coordinates of the northernmost end b1 of the reference location 201 are (x1, y1), the coordinates of the easternmost end b2 are (x2, y2), and the coordinates of the southernmost end b3 are (x3, y3). y3) Assume that the coordinates of the westernmost point b4 are (x4, y4). At this time, a rectangle having four vertices of the vertex c1 (x4, y1), the vertex c2 (x2, y1), the vertex c3 (x2, y3), and the vertex c4 (x4, y3) includes the reference location 201. This rectangle is the selection range in FIG.

  Therefore, not only the camera back 101X inside the reference location 201 is selected, but also the camera rod 101Z outside the reference location 201 but near the reference location 201 and inside the selection range is selected. On the other hand, the camera B 101Y is not selected because it is outside the selection range.

By selecting in this way, it is possible to easily select only the cameras installed in the range related to the reference location 201 without requiring geographical prior knowledge.
This selection is realized by performing the process shown in FIG. 11 as the selection range comparison process in step S106 in the flowchart of FIG. In the third embodiment, the area information shown in FIG. 10 is used.

  FIG. 10 is a diagram showing an example of the data structure of the area information. FIG. 10 shows the data structure in the same format as in FIG. The area information includes a unique number for identifying the area, a name, and its reading pseudonym, as well as the northernmost latitude (corresponding to y1 in FIG. 9) and the easternmost longitude (corresponding to x2 in FIG. 9). ), The latitude at the southernmost point (corresponding to y3 in FIG. 9), and the longitude at the westernmost point (corresponding to x4 in FIG. 9).

  In FIG. 2, for example, the area information may be managed by the disaster prevention information management server 108, or may be managed by any of the camera management systems 100A to 100D. Alternatively, it may be managed by another system (not shown) so that data can be referred to from the camera management system 100D.

Next, processing performed in the third embodiment will be described with reference to the flowcharts of FIGS.
In step S101 in FIG. 1, the “number” of the reference location 201 (second item in FIG. 10) is designated as the reference location information. This may be specified by the user or may be specified from the disaster prevention information management server 108.

  In step S102, the area information of FIG. 10 is searched using the number of the reference location 201 specified in step S101 as a key, and the northernmost latitude y1, the eastmost longitude x2, the southernmost latitude y3 of the reference location 201, The longitude x4 at the west end (collectively referred to as end point information) is read out and specified as range specifying information.

Steps S103 to S105 are as described above with reference to FIG. 1. In the third embodiment, the “monitoring device” is a camera.
In the third embodiment, step S106 in FIG. 1 corresponds to calling the selection range comparison process in FIG. The arguments in the selection range comparison process of FIG. 11 are information for identifying the camera selected in step S105, reference location information for the reference location 201 specified in step S101, and end point information specified in step S102. Here, the information for identifying the camera is the same as in the first embodiment.

  In step S401 in FIG. 11, a camera information DB (any one of 103A to 103D) that manages the camera specified by the argument is searched, and the latitude and longitude in which the camera is installed (sixth to sixth in FIG. 3). 13) is obtained. If the latitude is represented by the variable y and the longitude is represented by the variable x, and the values of x and y are stored in the memory, the process proceeds to step S402.

  In step S402, the values of x and y obtained in step S401 are compared with end point information given as an argument. That is, it is determined whether “y3 ≦ y ≦ y1” and “x4 ≦ x ≦ x2” are satisfied. If this condition is satisfied, the determination is yes and the process proceeds to step S403. If not, the determination is no and the process proceeds to step S404. This condition is satisfied when the installation position (x, y) of the camera designated by the argument is within the shaded portion (selected range) in FIG.

In step S403, True is returned as a value indicating that the camera specified by the argument is within the selection range, and the process ends.
In step S404, False is returned as a value indicating that the camera specified by the argument is out of the selection range, and the process ends.

  When the selection range comparison process is completed as described above, the processing returns to FIG. In step S107, if the return value in step S106 is True, it is determined that it is within the selection range, and if it is False, it is determined that it is outside the selection range. Steps S108 and S109 are as described above.

  Note that L output in step S109 indicates the camera selection result. Therefore, based on the selection result, a list of selected cameras may be displayed on the screen of the client 104, and videos taken by the selected camera may be displayed on the screen of the client 104. If there are a plurality of cameras selected in the latter case, the screen may be divided into a plurality of sections and the images of the plurality of cameras may be displayed respectively.

The present invention is not limited to the above-described embodiment, and can be variously modified. Some examples are described below.
In the first embodiment, since one value is designated as the narrowing range b, the selection range is circular (FIG. 4). However, depending on the type of disaster, a selection range having a shape in which the narrowing range varies depending on the direction is preferable. For example, when the wildfire occurrence point is the reference location 201, it is preferable that the narrowing range in the leeward direction is larger than the narrowing range in the leeward direction. To do so, for example, between step S201 and step S202 in FIG. 5, the camera installation position is converted into polar coordinates with the reference location 201 as the origin (for example, the direction in which the declination θ is 0). In step S203, the moving radius r (corresponding to d in FIG. 5) is compared with the value of the function f (θ) of the deflection angle θ, not the narrowing range b (fixed value). You just have to do it.

  In the second embodiment, rivers and roads are exemplified as the lines 202, but the application target of the present invention is not limited to these. The present invention can be applied in the same manner as in the second embodiment as long as it is an event that is affected along something linear. For example, an operation route such as a railroad, a subway, a bus, a power transmission line of a power transmission line, a fault, and the like are examples of the line 202.

  In the second embodiment, the direction from the reference location 201 on the line 202 (upstream / downstream in the case of a river) is not considered, but may be considered. For example, it is possible to determine whether it is upstream or downstream of the reference location 201 by comparing the magnitude of the kilometer post display (Section 13) with the roadside base point information of FIG. 7D. Alternatively, when the number (fourth item) in FIG. 7D is assigned so that the number is downstream as the value increases, upstream / downstream can be determined by the size of the number.

  When the direction from the reference location 201 on the line 202 is considered, an argument (upstream only, only downstream, or both) indicating which direction is considered is added in the selection range comparison process of FIG. When determining the set Z of base points, it may be considered whether the base point is upstream or downstream of the reference location 201. Moreover, you may enable it to designate a different value for the narrowing range b and the railway line range g on the upstream side and the downstream side.

  As a modification of the second embodiment, it is possible to consider a plurality of rivers belonging to the same water system. For example, when calculating the set Z in step S302 of FIG. 8, not only the base point along the river specified by the argument but also the base point along another river belonging to the same water system as the reference If the distance from the place 201 is less than or equal to the narrowing range b, it can be changed such that it is included in the set Z. Further, if the lines 202 other than the river are also managed in a hierarchy as shown in FIGS. 7B and 7C, the same change can be made.

  In addition, backflow from the sea may occur in the downstream area of the river. Therefore, as a parameter for narrowing down the selection range, not only the narrowing range b and the rail line range g but also the tide level may be considered. Further, for example, the railway line range g may be determined as a function of the narrowing range b and the tide level instead of a fixed value, and the value taken by the function may be compared with d in step S306 of FIG.

  Furthermore, when a storm or flood occurs, the altitude of the camera installation position (15th item in FIG. 3) may be taken into consideration as a parameter for narrowing down the selection range. In any of the above-described embodiments, modifications that take elevation into account are possible. For example, in step S203 of FIG. 5, step S306 of FIG. 8, and step S402 of FIG. 11, the determination does not become Yes unless the condition that “the altitude of the camera installation position is equal to or lower than a predetermined height” is not satisfied. Can be.

  In the third embodiment, the selection range is a rectangle defined by vertices c1 to c4 in FIG. 9 (a rectangle whose sides are parallel or meridian directions) with respect to a reference location 201 having a certain spread. However, in general, an n-gon (n ≧ 3) including the reference location 201 may be selected. However, it is necessary to change the data structure of the area information in FIG. 10 and manage the latitude and longitude of n vertices of the n-gon in place of the end point information in FIG.

In the third embodiment, the rectangle of the selection range is in contact with the reference location 201 at the four end points b1 to b4. However, the selection range may not be in contact with the reference location 201.
For example, four positive numerical values of m1, m2, m3, and m4 are further designated as the range designation information as arguments of the selection range comparison process of FIG. 11, and the rectangle of the selection range in FIG. , M4, m3, m1 may be expanded. That is, the coordinates of the vertex c1 are (x4-m4, y1 + m1), the coordinates of the vertex c2 are (x2 + m2, y1 + m1), the coordinates of the vertex c3 are (x2 + m2, y3-m3), and the coordinates of the vertex c4 are (x4- m4, y3-m3). The third embodiment can be regarded as a special case in which m1 = m2 = m3 = m4 = 0 is designated as a default value.

  In the third embodiment, as an example of the reference place 201, a district, a municipality, a secondary subdivision area that is a target for issuing a weather warning, and the like are listed. However, the application target of the present invention is not limited to these. If there is a certain spread and it is necessary to examine the influence within the range of the spread, the present invention can be applied in the same manner as in the third embodiment. For example, the reference place 201 may be designated as a facility having an outline unrelated to administrative divisions such as facilities such as a ski resort, the ground, or a national park.

In the above description, the determination as to whether or not the camera is within the selection range is based on the calculation of numerical values. However, some processing may be replaced with image processing.
For example, in the third embodiment, for an area that can be designated as the reference place 201, a map image in which the inside and the outside of the reference place 201 are painted in two colors is prepared in advance. In the selection range comparison process of FIG. 11, the map image is given instead of the end point information as an argument. Then, the corresponding pixel on the map image is specified from the camera installation position obtained in step S401. In step S402, the color of the pixel is checked instead of the processing of FIG.

Of course, this modified example may be further modified so that the inside of the reference location 201 and a certain portion in the vicinity thereof are set to the “inside” color, and the other portions are set to the “outside” color.
The modification combining image processing in this way can also be applied to the second embodiment. For example, when the line 202 is a river, a map image painted in different colors according to the distance from the river may be prepared instead of the along-base point information in FIG. 7D, and the map image may be used. In the same manner as described above, it is possible to identify a pixel corresponding to the installation position of the camera on the map image and determine whether or not the pixel is within the selection range according to the color of the pixel. Of course, a plurality of criteria can be combined in the determination, for example, considering both the pixel color and the narrowing range b.

As another modification of the second embodiment, an embodiment in which the line 202 is expressed using a function is also possible. That is, in order to represent the line 202 as data, a predetermined function f in a predetermined coordinate system (for example, a plane coordinate having latitude and longitude as the y-axis and the x-axis, respectively), instead of using the line base point information in FIG. 7D. Using (x), the line 202 may be approximated by a curve of y = f (x). Further, x may be divided into several ranges, and the line 202 may be approximated by the i-th function f _i (x) in the i-th range. If each f _i (x) is a linear function (a _i x + b _i ), the line 202 is approximated by a polygonal line, and the coefficients a _i and b _i are calculated in advance based on the line base point information of FIG. 7D. Is possible. Of course, f _i (x) may be a function other than a linear function. When the line 202 is approximated using a function in this way, the straight line distance from the line 202 to the camera can be directly numerically calculated, and thus it is not necessary to perform the iterative process as shown in FIG. That is, the position of the foot of the perpendicular line drawn from the camera installation position to the line 202 is calculated, the distance between the foot and the reference location 201 is equal to or smaller than the narrowing range b, and the distance between the foot and the camera installation position is the range along the line What is necessary is just to determine that it is in the selection range if it is g or less.

In the above description, the system configuration as shown in FIG. 2 is assumed. However, the present invention can be applied to other configurations.
For example, the present invention is not applied to a system in which a plurality of camera management systems (100A to 100D) are linked as shown in FIG. 2, but is also applied to a single camera management system as shown in FIG. can do. Further, the present invention may be implemented not as a client server type system but as a system in which a user directly operates the camera management server 102D of FIG. 2, for example.

  In FIG. 2, the camera management server 102D does not necessarily have the camera information DB (103D). That is, even if the camera management server 102D does not have the camera information DB (103D) by itself, the camera management server 102D can implement the present invention as long as it can refer to one or more camera information DBs (103A to 103C). Is possible. From the viewpoint of the client 104, the camera information DB (103A to 103D) managed by which camera management system (100A to 100D) can be specifically referred to as long as it can be referred to via the camera management server 102D. Is irrelevant.

  In the above, the example where the reference place information is given from the user or the disaster prevention information management server 108 has been described, but the reference place information may be given by other means. For example, an image recognition unit is provided in the camera management server, and a video taken by a camera managed by the camera management server itself is monitored to recognize the occurrence of a disaster. When a certain camera management server recognizes the occurrence of a disaster in the video of a certain camera, the fact that the disaster has occurred is reported to other linked camera management servers together with the position information of the camera. Of course, the position information of the camera that recognized the occurrence of the disaster is given as the reference place information also to the program of the present invention operating on the camera management server itself. In this way, when a disaster occurs, the disaster occurrence location can be given to the program of the present invention as reference location information.

  In the above description, a camera is used as the monitoring device to be selected. However, a monitoring device other than the camera, such as various observation devices, may be selected. For example, a water level gauge is an observation device for monitoring the water level. When an abnormal water level is observed at a certain location in a river, a water level meter installed in a river that is within a certain range and belongs to the same water system. It is also possible to make a selection according to the present invention as described in the above modification.

Incidentally, the program according to the present invention is executed on a general computer as shown in FIG. For example, FIG. 12 corresponds to the camera management server 102D of FIG.
12 includes a CPU (Central Processing Unit) 300, a ROM (Read Only Memory) 301, a RAM (Random Access Memory) 302, a communication interface 303, a storage device 304, an input device 305, an output device 306, and a portable storage medium. There are 310 drive devices 307, all of which are connected by a bus 308.

  The computer shown in FIG. 12 is connected to the network 311 via the communication interface 303. The network 311 may be an arbitrary network such as a LAN (Local Area Network) or the Internet. The network 311 includes other linked monitoring device management systems 100-0 (corresponding to 100A to 100C in the example of FIG. 2) and the monitoring device 101-0 to be selected (101A in the example of FIG. 2). Corresponds to a camera of ˜101D).

  The storage device 304 may be a magnetic disk device such as a hard disk, or may be another type of storage device. The camera information DB (103 </ b> D) in the example of FIG. 2 is a DB stored in the storage device 304. The camera information data stored in the storage device 304 is read into the RAM 302 as necessary and processed by the CPU 300.

  A program according to the present invention is stored in the storage device 304 or the ROM 301. By executing the program by the CPU 300, the present invention is realized. In the description of the flowchart of FIG. 1 and the like, it has been described that data is stored in the memory. However, some data may be stored in a register in the CPU 300 instead of the RAM 302.

The input device 305 is a pointing device such as a mouse or a keyboard, for example. The output device 306 is a display device such as a liquid crystal display.
When the present invention is realized as a system in which the user directly operates the computer of FIG. 12 (for example, when the user directly operates the camera management server 102D in FIG. 2), the reference location information and the range designation information are input by a human. It may be entered via the device 305 and stored in the RAM 302. In addition, the monitoring device selected according to the present invention may be output to the output device 306 in a list format. In this case, the user can select a desired monitoring device from the list via the input device 305. When the monitoring device to be selected is a camera, an image captured by the selected camera may be output to the output device 306.

  When the present invention is implemented as a client server type system, the user accesses the server (computer in FIG. 12) from the client 104 through the network 311. Note that the client 104 has substantially the same configuration as that in FIG.

  Therefore, in some embodiments, reference location information and range specification information are input via the input device of the client 104, the communication interface of the client 104, the network 311, and the communication interface 303 of the server, and are stored in the RAM 302 of the server. . In addition, a list of monitoring devices selected according to the present invention is output to the output device of the client 104 via the communication interface 303 of the server, the network 311, and the communication interface of the client 104. When the user selects a desired monitoring device 101-0 using the input device of the client 104, the selected content is notified to the server via the communication interface of the client 104, the network 311, and the communication interface 303 of the server. For example, when the monitoring device to be selected is a camera, the server sends information such as streaming data of video captured by the selected camera or URL for accessing the server to the communication interface 303 of the server, the network 311, and the client. The data is transmitted to the client 104 via the communication interface 104.

  The program according to the present invention may be provided from the program provider 309 via the network 311 and the communication interface 303, for example, stored in the storage device 304 and executed by the CPU 300. Further, the program according to the present invention may be stored in the portable storage medium 310, the portable storage medium 310 may be set in the driving device 306, and the stored program may be loaded into the RAM 302 and executed by the CPU 300, for example. As the portable storage medium 310, various types of storage media such as an optical disk such as a CD (Compact Disc) or a DVD (Digital Versatile Disk), a magneto-optical disk, or a flexible disk can be used.

In summary, the present invention has the following configuration.
(Appendix 1)
A monitoring device selection program for selecting some monitoring devices from a plurality of monitoring devices,
A first step of specifying reference location information indicating a reference location which is a selection reference location;
A second step of designating range designation information for defining a selection range that is a range related to the reference location;
A database for managing installation position information indicating the installation position of the monitoring device is searched for each of the plurality of monitoring devices, and the installation position of the monitoring device is included in the selection range for each of the plurality of monitoring devices. A third step of determining whether or not to select the monitoring device determined to be included,
A computer-readable recording medium storing a program for selecting a monitoring apparatus.
(Appendix 2)
The reference location is one point, and the reference location information is information indicating the position of the one point,
The range designation information is a distance b from the reference location,
In the determination in the third step, the distance between the installation position of the monitoring device and the reference location is calculated, and if the distance is equal to or less than b, it is determined that the distance is included in the selection range.
The program according to appendix 1, characterized by:
(Appendix 3)
The reference location is one point, and the reference location information is information indicating the position of the one point,
The range designation information includes a distance b from the reference location and a value g indicating a distance from a line that passes through the reference location and is defined in advance.
The program according to appendix 1, characterized by:
(Appendix 4)
The line is defined using position information of each of a plurality of base points located on the line,
In the determination in the third step, for each of the plurality of base points, a distance f from the reference location is calculated, and for the base point where f is equal to or less than b, the base point and the installation position of the monitoring device are calculated. A distance d of
The program according to appendix 3, characterized by:
(Appendix 5)
The line is a line expressed using a predetermined function in a predetermined coordinate system;
In the determination in the third step, the position of the foot of the perpendicular line dropped from the installation position of the monitoring device to the line is calculated, the distance f between the foot and the reference location is calculated, and the foot and the monitoring Calculating a distance d to the installation position of the apparatus, and determining that the selected range is included if f is less than b and d is less than g.
The program according to appendix 3, characterized by:
(Appendix 6)
The reference location is a predetermined specific range, and the reference location information is information for identifying the specific range,
The range designation information includes information on the positions of n vertices of an n-gon that includes the specific range,
In the determination in the third step, if the installation position of the monitoring device is inside the n-gon, it is determined that it is included in the selection range.
The program according to appendix 1, characterized by:
(Appendix 7)
N is 4;
The n vertices are defined by a point (x4, y1) defined by the northernmost latitude y1 of the specific range and the westernmost longitude x4 of the specified range, the y1 and the eastmost longitude x2 of the specified range. Four points are defined: a defined point (x2, y1), x2 and a point (x2, y3) defined by the southernmost latitude y3 of the designated range, and a point (x4, y3) defined by y3 and x4. Is a point,
The program according to appendix 6, characterized by:
(Appendix 8)
The reference location information is information indicating the position of a certain point according to a predetermined coordinate system,
The range designation information includes one or more parameters for designating a range in the coordinate system.
The program according to appendix 1, characterized by:
(Appendix 9)
A monitoring device selection device that selects a part of monitoring devices from a plurality of monitoring devices,
A reference location specifying means for specifying reference location information indicating a reference location that is a reference location;
Range designation means for designating range designation information for defining a selection range that is a range related to the reference location;
A database for managing installation position information indicating the installation position of the monitoring device is searched for each of the plurality of monitoring devices, and the installation position of the monitoring device is included in the selection range for each of the plurality of monitoring devices. Selecting means for determining whether or not to select the monitoring device determined to be included,
A monitoring device selection device comprising:
(Appendix 10)
A monitoring device selection method for selecting a part of monitoring devices from a plurality of monitoring devices,
The computer specifies reference location information that indicates the reference location that is the reference location,
The computer specifies range specification information for defining a selection range that is a range related to the reference location;
The computer searches a database managing installation position information indicating an installation position of the monitoring device for each of the plurality of monitoring devices, and the installation of the monitoring device in the selection range for each of the plurality of monitoring devices. Determining whether a position is included and selecting the monitoring device determined to be included;
And a monitoring device selection method.

It is a flowchart which shows the principle of this invention. It is a figure which shows an example of the system configuration | structure of this invention. It is a figure which shows an example of a data structure of camera information. It is explanatory drawing of a 1st Example. It is a flowchart of the selection range comparison process in a 1st Example. It is explanatory drawing of a 2nd Example. It is a figure which shows the data structure of the route information in a 2nd Example. It is a figure which shows the data structure of the water system information in a 2nd Example. It is a figure which shows the data structure of the river information in a 2nd Example. It is a figure which shows the data structure of the railway line origin point information in a 2nd Example. It is a flowchart of the selection range comparison process in a 2nd Example. It is explanatory drawing of a 3rd Example. It is a figure which shows the data structure of the area information in a 3rd Example. It is a flowchart of the selection range comparison process in a 3rd Example. It is a block diagram of a computer which executes a program of the present invention. It is a figure which shows the example of the conventional camera management system. It is a figure which shows another example of the conventional camera management system.

Explanation of symbols

100A Camera management system A
100B Camera management system B
100C Camera management system C
100D Camera management system D
100-0 Monitoring device management system 101A, 101B, 101C, 101D Camera 101X Camera back 101Y Camera B 101-0 Monitoring device 102A, 102B, 102C, 102D Camera management server 103A, 103B, 103C, 103D Camera information DB
104 Client 105 Camera List Screen 106 Map Position Information Screen 107 Screen 108 Disaster Prevention Information Management Server 201 Reference Location 202 Line 203-1, 203-2,..., 203-11 Base Point 300 CPU
301 ROM
302 RAM
303 Communication Interface 304 Storage Device 305 Input Device 306 Output Device 307 Drive Device 308 Bus 309 Program Provider 310 Portable Storage Medium 311 Network

Claims (5)

A monitoring device selection program for selecting some monitoring devices from a plurality of monitoring devices,
A first step of specifying reference location information indicating a reference location which is a selection reference location;
A second step of designating range designation information for defining a selection range that is a range related to the reference location;
A database for managing installation position information indicating the installation position of the monitoring device is searched for each of the plurality of monitoring devices, and the installation position of the monitoring device is included in the selection range for each of the plurality of monitoring devices. A third step of determining whether or not to select the monitoring device determined to be included,
A computer-readable recording medium storing a program for selecting a monitoring apparatus. The reference location is one point, and the reference location information is information indicating the position of the one point,
The range designation information includes a distance b from the reference location and a value g indicating a distance from a line that passes through the reference location and is defined in advance.
The program according to claim 1. The reference location is a predetermined specific range, and the reference location information is information for identifying the specific range,
The range designation information includes information on the positions of n vertices of an n-gon that includes the specific range,
In the determination in the third step, if the installation position of the monitoring device is inside the n-gon, it is determined that it is included in the selection range.
The program according to claim 1. A monitoring device selection device that selects a part of monitoring devices from a plurality of monitoring devices,
A reference location specifying means for specifying reference location information indicating a reference location that is a reference location;
Range designation means for designating range designation information for defining a selection range that is a range related to the reference location;
A database for managing installation position information indicating the installation position of the monitoring device is searched for each of the plurality of monitoring devices, and the installation position of the monitoring device is included in the selection range for each of the plurality of monitoring devices. Selecting means for determining whether or not to select the monitoring device determined to be included,
A monitoring device selection device comprising: A monitoring device selection method for selecting a part of monitoring devices from a plurality of monitoring devices,
The computer specifies reference location information that indicates the reference location that is the reference location,
The computer specifies range specification information for defining a selection range that is a range related to the reference location;
The computer searches a database managing installation position information indicating an installation position of the monitoring device for each of the plurality of monitoring devices, and the installation of the monitoring device in the selection range for each of the plurality of monitoring devices. Determining whether a position is included and selecting the monitoring device determined to be included;
And a monitoring device selection method.