JP2007179136A - Anomaly detection device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically detect and notify an anomaly in an anomaly detection object in a building by a relatively simple structure. <P>SOLUTION: An anomaly detection device 1 acquires IC tag information written in IC tags 101 embedded in building members constituting a building 5 from an IC tag reader 102 carried by an anomaly detection object 100. The anomaly detection device 1 identifies the position of the anomaly detection object 100 by the IC tag information, stores it in association with the time, determines whether there is an anomaly in the anomaly detection object 100 according to the stored position-time correspondence information, and if there is an anomaly in the anomaly detection object 100, notifies the anomaly content to a user device 4. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an anomaly detection technique for detecting an anomaly that has occurred in a building, and in particular, an anomaly that has occurred in an anomaly detection target such as an elderly person or a pet in the building is detected and detected using an IC tag. The present invention relates to an abnormality detection apparatus that notifies an abnormality.

In recent years, IC tags have been used for data collection in various fields. As a technology using IC tags, for example, IC tags are attached to or incorporated in intermediate materials such as building interiors such as buildings and hospitals and housing interiors including condominiums, parts, etc. for several to several decades Even the written design surface, material name, manufacturing surface, inventory management surface, distribution surface, material inspection and certification surface, at the time of delivery to the construction site, construction process, progress management surface, delivery date, at the time of renovation, And the technique which enables the information regarding dismantling recycling etc. to be decipherable in a non-contact state is known (for example, refer the following patent document 1).
JP 2004-37902 A

  However, the technique described in Patent Document 1 is intended to manage the design and construction of a building using an IC tag, and specifies the position of a person or thing in the building. It's not technology. For this reason, it is not assumed that abnormalities (for example, accidents or illnesses) occurring in elderly people or pets in the building are detected.

  That is, depending on the prior art, it is impossible to specify the position of a person or an object in the building. For this reason, for example, it is impossible to detect and notify the family that an elderly person living alone in a place away from the family has fallen from the stairs or falls in the bath. Also, depending on the prior art, for example, while a resident of a building is away, it is impossible to detect that the pet being kept is unable to move due to illness and notify the resident.

  Here, for example, in order to detect abnormalities occurring in abnormal detection targets such as elderly people and pets in a building, for example, a surveillance camera is installed in the building, and the life of elderly people, pets, etc. in the building It is conceivable to monitor an action and detect an abnormality occurring in an elderly person or a pet. However, in a system that detects an abnormality that has occurred in an abnormality detection target using a monitoring camera, the configuration of the entire system becomes large. In addition, for example, there may be a problem that psychological pressure is applied to the elderly and the like.

  An object of the present invention is to solve the problems of the prior art and provide an abnormality detection device that automatically detects and notifies an abnormality occurring in an abnormality detection target in a building with a relatively simple configuration. .

  In order to solve the above problems, the present invention adopts the following configuration.

  The abnormality detection device of the present invention is an abnormality detection device that detects an abnormality that has occurred in an abnormality detection target in a building, and is an IC that is carried by the abnormality detection target and attached to a building member that constitutes the building. Based on the obtained IC tag information, IC tag information reading means for reading the IC tag information written in the tag, IC tag information acquiring means for acquiring the IC tag information read by the IC tag information reading means, and the acquired IC tag information , Position specifying means for specifying the position where the abnormality detection target is located, position information storage means for storing correspondence information between the position where the specified abnormality detection target is located and time, and the accumulated abnormality detection target An abnormality determination means for determining whether an abnormality has occurred in the abnormality detection target based on correspondence information between the position where the position is and the time, and the abnormality determination means If an abnormality in output target is determined to have occurred, and an abnormality notifying means for notifying the content of the resulting abnormal.

  Preferably, the abnormality detection device of the present invention is further called by the abnormality determination unit according to the position where the abnormality detection target specified by the position specifying unit is located in the abnormality detection device. One or a plurality of abnormality detection means for detecting an abnormality occurring in the object is provided.

  Preferably, in the abnormality detection apparatus according to the present invention, the abnormality detection unit monitors correspondence information between a position where the abnormality detection target is stored and time stored in the position information storage unit. If the time during which the position where the abnormality detection target is not changed is equal to or greater than a predetermined threshold, it is determined that an abnormality has occurred in the abnormality detection target.

  Preferably, in the abnormality detection apparatus according to the present invention, the abnormality detection unit monitors correspondence information between a position where the abnormality detection target is stored and time stored in the position information storage unit. Then, when the time until the position where the abnormality detection target is changed by a predetermined magnitude is equal to or less than a predetermined threshold, it is determined that an abnormality has occurred in the abnormality detection target.

  The abnormality detection device of the present invention reads the IC tag information of the IC tag attached to the building member by the IC tag information reading means carried by the abnormality detection target, specifies the position where the abnormality detection target is based on this, Correspondence information between the position and time is accumulated, and based on this correspondence information, it is determined whether an abnormality has occurred in the abnormality detection target. If it is determined that an abnormality has occurred, the contents of the abnormality that has occurred are notified. Therefore, according to the present invention, an abnormality occurring in an abnormality detection target in a building is detected accurately and automatically with a relatively simple configuration, for example, a mobile phone carried by a family outside the building, etc. Can be notified.

  In addition, the abnormality detection apparatus of the present invention includes abnormality detection means that is called according to the position where the specified abnormality detection target is present and detects the abnormality. Therefore, according to the present invention, it is possible to appropriately detect an abnormality peculiar to the position depending on the position where the abnormality detection target is present. For example, according to the present invention, when the abnormality detection target is in a toilet, an abnormality detection process corresponding to the toilet can be performed. Further, when the abnormality detection target is on the stairs, an abnormality detection process corresponding to the stairs can be performed.

  In addition, the abnormality detection device of the present invention determines that an abnormality has occurred in the abnormality detection target when the time during which the position where the abnormality detection target is not changed is equal to or greater than a predetermined threshold. Therefore, according to the present invention, for example, except for the time in the living room or the time in the bedroom, it is accurately determined that the abnormality detection target has fallen in the building and does not move for a long time. Can be detected.

  In addition, the abnormality detection device of the present invention determines that an abnormality has occurred in the abnormality detection target when the time until the position where the abnormality detection target is changed is equal to or less than a predetermined threshold. Therefore, according to the present invention, it is possible to detect that an abnormality has occurred, for example, the abnormality detection target falls from the stairs.

  FIG. 1 is a configuration diagram of an abnormality detection system, and is a diagram illustrating an example of a configuration of an abnormality detection system including the abnormality detection device of the present invention.

  The anomaly detection device 1 is a computer that detects an anomaly that has occurred in the anomaly detection target 100 in the building 5 and is provided inside the building 5 such as a house in which the anomaly detection target 100 resides. In addition, you may make it the abnormality detection apparatus 1 be provided in the exterior of the building 5 except the IC tag information acquisition part 11 mentioned later.

  The abnormality detection device 1 acquires IC tag information from the IC tag reader 102 carried by the abnormality detection target 100, and detects an abnormality that has occurred in the abnormality detection target 100 based on the acquired IC tag information. Then, the abnormality detection device 1 notifies the relay host 3 of the content of the detected abnormality through a network 2 such as the Internet.

  The relay host 3 is a computer that notifies the user device 4 of the content of the abnormality notified from the abnormality detection device 1, and is provided in, for example, a company that provides the abnormality detection service. Specifically, since it is necessary to attach an IC tag 101 to be described later to a building member constituting the building 5, it is provided in a company that manufactures and sells the building member. In the embodiment of the present invention, the attachment of the IC tag 101 to the building member includes, for example, embedding the IC tag 101 in the building member or attaching the IC tag 101 to the building member. In the following description, an example in which the IC tag 101 is embedded in a building member will be described.

  The relay host 3 may be provided in an Internet service provider (ISP), for example.

  The user device 4 is a computer that receives and displays the content of the abnormality from the relay host 3, for example, a computer provided by a user who is a contractor of the abnormality detection service, and specifically, for example, a mobile phone carried by the user It consists of a phone. Notification of the content of the abnormality from the relay host 3 to the user device 4 includes, for example, sending an e-mail indicating the content of the abnormality that has occurred from the relay host 3 or communicating the content of the abnormality that has occurred by telephone. Depends on the notification format. Accordingly, the user device 4 may have, for example, an Internet connection function, a telephone communication function, an electronic mail transmission / reception function, and the like.

  The building 5 is composed of building members such as a stair stepping plate 51, a door 52, and a flooring 53 shown in FIG. The building 5 can be configured by various building members other than the stair tread 51, the door 52, and the floor material 53.

  An IC tag 101 in which IC tag information is written is embedded in a building member (for example, a stair tread 51, a door 52, and a floor material 53) constituting the building 5. For example, a UHF band wireless IC tag is used as the IC tag 101.

  For example, as shown in FIG. 2A, the IC tag information written in the IC tag 101 has a data configuration including “address” indicating address information of a building member. Alternatively, the IC tag information includes, for example, a “building name” indicating the name of the building, an “abnormality detection target name” indicating the name of the abnormality detection target 100, and an address of the building member, as shown in FIG. It has a data structure consisting of “address” indicating information.

  The address information means information that uniquely identifies the IC tag 101 embedded in the building member and enables the position of the IC tag 101 to be identified. In the example of the IC tag information shown in FIGS. 2A and 2B, the expression “address” is used to distinguish from the position information indicating the position where the abnormality detection target 100 described later is present.

  Therefore, for example, as shown in FIG. 2C, the IC tag information may have a data configuration including an IC tag ID indicating an identifier for uniquely identifying the IC tag.

  The abnormality detection target 100 is a human or an object that is a target of abnormality detection, and includes, for example, an elderly person, a pet, a person exercising in the building 5, and the like. The abnormality detection target 100 carries an IC tag reader 102 which is a device capable of reading the IC tag information of the IC tag 101 embedded in the building member. For example, the IC tag reader 102 is carried by being attached to its arm like a wristwatch by the abnormality detection target 100 and embedded in a building member around the position where the abnormality detection target 100 is located. Read information. Then, the IC tag reader 102 wirelessly transmits the read IC tag information to the abnormality detection device 1 using a known wireless communication technology.

First, the flow from the embedding of the IC tag 101 into a building member to the construction of the building 5 will be described.
<When IC tag information is written in the IC tag at the manufacturing stage of building materials>
(1) When the building material manufacturer receives an order for the building 5, the building member creates a CAD diagram including various places of the building 5 such as a living room, a staircase, a toilet, a bathroom, and a bedroom. For example, FIG. 5 shows an outline of the entire CAD drawing of the building (only the outline is drawn with the dimensions omitted), and FIG. 3A is an example of the CAD drawing of the living floor created. Is shown. The CAD diagram is generally a drawing designed using a CAD (Computer Aided Design) system, and is a diagram in which address information, detailed dimensions, and the like of building members in the building 5 are set.

When creating a CAD diagram, address information of building members constituting each place of the building 5 is set. For example, as shown in the CAD diagram of FIG. 3A, the floor material 53 constituting the floor of the living room is “L-i” (in this example) indicating the i-th floor material 53 in the living room. 001 ≦ i ≦ 018) is set.
(2) As shown in FIG. 3 (B), for example, the CAD data of the CAD diagram shown in FIG.
(3) As shown in FIG. 3C, the address information included in the read CAD data is written in the IC tag 101 as IC tag information in the factory line. For example, address information as shown in FIG. 2A is written to the IC tag 101 as IC tag information.

  In the factory line, the IC tag 101 in which the address information is written is embedded in the base material of the building member.

Further, the address information of the building member is attached to the building member as a label. For example, as shown by the dotted line in FIG. 3D, labels indicating addresses such as “L-001”, “L-002”, and “L-003” are attached to the flooring 53.
(4) As shown in FIG. 3E, the building members are shipped to the contractor. The manufacturer of the building material passes the CAD data of the CAD drawing of the building 5 to the contractor.
(5) As shown in FIG. 3 (F), the building 5 is constructed by a contractor. For example, the construction of the building 5 is performed with reference to the address information included in the CAD data of the CAD diagram shown in FIG. 3A and the address information pasted as a label on the building member.

<When writing IC tag information in an IC tag at the construction stage>
(1) Upon receiving an order for the building 5, the manufacturer of the building material creates CAD diagrams for various locations of the building 5 such as a living room, a staircase, a toilet, a bathroom, and a bedroom. For example, a CAD diagram of a living floor as shown in FIG.

As described above, when creating the CAD diagram, the address information of the building members constituting each place of the building 5 is set.
(2) As shown in FIG. 4A, the building material manufacturer embeds the IC tag 101 in the base material of the building member in the factory line of the manufacturing factory, and the IC as shown in FIG. 4B. A building member in which the tag 101 is embedded is manufactured. IC tag information is not written in the IC tag 101 embedded in the building member.
(3) As shown in FIG. 4C, the building member in which the IC tag 101 is embedded is shipped to a contractor. The manufacturer of the building member gives the CAD data of the CAD drawing of the building 5 (for example, CAD data of the CAD drawing of the living floor shown in FIG. 3A) to the contractor.
(4) As shown in FIG. 4D, the contractor uses, for example, an IC tag writer (or IC tag reader / writer) 201, which is a device capable of writing IC tag information in the IC tag 101, as a building member. IC tag information is written to the embedded IC tag 101. For the IC tag 101 embedded in the building member, the contractor, for example, provides the IC tag information including address information set at the time of creating the CAD diagram, the building name, and the name of the abnormality detection target 100. Write. For example, IC tag information as shown in FIG.
(5) As shown in FIG. 4E, the building 5 is constructed by a contractor. For example, the construction of the building 5 is performed with reference to the address information included in the CAD data of the CAD diagram shown in FIG. 3A and the address information pasted as a label on the building member.

  In the embodiment of the present invention, for example, the IC tag ID shown in FIG. 2C described above may be written as IC tag information on the IC tag 101 embedded in the building member.

  FIG. 5 is a diagram showing an example of a floor plan of the constructed building. The building 5 is divided into various places such as an entrance, a living room, a kitchen, a staircase, a bedroom, a toilet, a dressing room, and a bathroom. An IC tag 101 is embedded in a building member constituting each place.

  FIG. 6A is an example of a view of the stairs shown in FIG. 5 seen from the side. An IC tag 101 in which address information is written is embedded in the stair tread 51 constituting the stair. For example, the address “S-001” is written in the first step stair tread 51.

  FIG. 6B is an example of a view of the living room shown in FIG. 5 as viewed from above. An IC tag 101 in which address information is written is embedded in the floor material 53 constituting the living room. In the embodiment of the present invention, the floor material 53 having a half-length divided in the middle of the floor material 53 constituting the living room (for example, the address “L-005” in FIG. 6B). Address information may not be written in the floor material 53 or the like in which is written. Thereby, the trouble of the IC tag 101 and its embedding can be saved, and on the other hand, since it is an end portion, it can be avoided that the detection of the position of the abnormality detection target 100 is hindered.

  As for the bedroom, kitchen, entrance, and dressing room shown in FIG. 5, the IC tag 101 in which address information is written is embedded in the floor material 53 constituting the bedroom, kitchen, entrance, and dressing room as in the living room. It is.

  FIG. 6C is an example of a view of the bathroom shown in FIG. 5 viewed from the side. An IC tag 101 in which address information (“B-001” in FIG. 6) is written is embedded in a handle 54 of the bathroom door 52. Although the illustration of the toilet is omitted, the IC tag 101 in which address information (for example, “T-001”, etc.) is written is embedded in the handle 54 of the toilet door 52 as in the bathroom. Yes.

  Next, an outline of the abnormality detection process in the embodiment of the present invention will be described.

  The IC tag reader 102 carried by the abnormality detection target 100 in the building 5 stores the IC tag information written in the IC tag 101 embedded in the building member existing around the position where the abnormality detection target 100 is located, Reading continuously. When the abnormality detection target 100 moves in the building 5, the address information included in the IC tag information read by the IC tag reader 102 changes.

  The IC tag reader 102 wirelessly transmits the currently read IC tag information to the abnormality detection device 1. The abnormality detection device 1 identifies the position where the abnormality detection target 100 is present based on the address information included in the received IC tag information.

  The abnormality detection device 1 generates correspondence information between the position and time at which the determined abnormality detection target 100 is located and accumulates the information, and based on the stored correspondence information, the abnormality detection target 100 has an abnormality (accident or disease). ) Is determined.

  When the abnormality detection device 1 determines that an abnormality has occurred in the abnormality detection target 100, the content of the abnormality that has occurred (for example, the name of the building, the date and time, the name of the abnormality detection target 100, and the abnormality detection target 100 are present. Position) is transmitted to the relay host 3 via the network 2.

  The relay host 3 transmits the contents of the abnormality that has occurred to the user device 4 by mail or telephone communication. In the embodiment of the present invention, the abnormality detection device 1 may directly transmit the content of the abnormality that has occurred to the user device 4 without using the relay host 3. The user who has received the details of the abnormality that has occurred can take measures such as calling the abnormality detection target 100 in the building 5 or heading to the building 5.

  FIG. 7 is a diagram illustrating an example of the configuration of the abnormality detection device 1. The abnormality detection device 1 includes an IC tag information acquisition unit 11, a position specification unit 12, a position information storage unit 13, an abnormality determination unit 14, an abnormality notification unit 15, an address table 16, a stair module 141, a bathroom module 142, a toilet module 143, A bedroom module 144 and a living module 145 are provided. IC tag information acquisition unit 11, position specifying unit 12, position information storage unit 13, abnormality determination unit 14, abnormality notification unit 15, address table 16, stair module 141, bathroom module 142, toilet module 143, bedroom module 144, living module The function 145 is realized by the CPU, memory, and software program in the abnormality detection apparatus 1.

  The anomaly detection apparatus 1 of the present invention stores in advance the coordinate information (for example, coordinates (x, y) centered on the entrance of the living room) where the IC tags 101 are embedded in the building 5. A storage means (not shown) may be provided.

  The IC tag information acquisition unit 11 acquires one or a plurality of IC tag information read by the IC tag reader 102 carried by the abnormality detection target 100. The position specifying unit 12 specifies the position where the abnormality detection target 100 is located based on the address information included in the IC tag information. For specifying the position where the abnormality detection target 100 is located, for example, the address table 16 storing at least correspondence information between the address information and the position where the abnormality detection target 100 is used is used.

  For example, as will be described later, the position specifying unit 12 determines the center address from all the addresses included in the acquired one or more IC tag information, and searches the address table 16 with the determined center address. Then, the position corresponding to the center address is specified as the position where the abnormality detection target 100 is located.

  Further, in the embodiment of the present invention, for example, the position specifying unit 12 extracts a position corresponding to each address included in the acquired one or more pieces of IC tag information from the address table 16 and extracts it. The position of the center of each position may be specified as the position where the abnormality detection target 100 is present.

  Further, for example, when the abnormality detection device 1 of the present invention adopts a configuration including a storage unit that stores in advance the coordinate information of the position where each IC tag 101 is embedded in the building 5, as follows. Thus, the position where the abnormality detection target 100 is located can be specified.

  That is, the position specifying unit 12, for example, the coordinates of the position where the IC tag corresponding to each address included in the acquired one or more IC tag information is embedded (for example, centering on the entrance of the living room) The coordinates (x, y)) are extracted from the storage means. The position specifying unit 12 calculates the coordinates of the center of gravity of each extracted coordinate, and specifies the calculated coordinates of the center of gravity as the position where the abnormality detection target 100 is located.

  Further, for example, the position specifying unit 12 searches the address table 16 with the address written in the IC tag that is closest to the calculated coordinates of the center of gravity, and specifies the corresponding position as the position where the abnormality detection target 100 is located. You may make it do.

  The specified position information includes, for example, “stair 4 steps” indicating that the abnormality detection target 100 is on the fourth step, “bathroom” indicating that the abnormality detection target 100 is in the bathroom, and the abnormality detection target 100. Is information such as “living entrance vertical 5 m, horizontal 6 m” indicating that it is at a coordinate 5 m long and 6 m wide from the entrance of the living room.

  Further, the position determination unit 12 stores the specified position where the abnormality detection target 100 is located in the position information storage unit 13 in association with the time. The position specifying unit 12 stores, for example, information on the name of the building and the name of the abnormality detection target 100 in the IC tag information in a buffer (not shown) in the abnormality detection device 1.

  The abnormality determination unit 14 determines whether an abnormality has occurred in the abnormality detection target 100 based on correspondence information between the position where the abnormality detection target 100 is located and the time in the position information storage unit 13. The abnormality determination unit 14 calls an abnormality detection module (program or subroutine), which will be described later, according to the position of the abnormality detection target 100 determined by the position determination unit 12 to perform abnormality detection processing. When a notification indicating that an abnormality has been detected is received, it is determined that an abnormality has occurred in the abnormality detection target 100.

  If the abnormality determination unit 14 determines that an abnormality has occurred, the abnormality notification unit 15 notifies the user device 4 of the content of the abnormality that has occurred. For example, the user apparatus 4 is notified of the date when the abnormality occurred, the time when the abnormality occurred, the name of the building, the name of the abnormality detection target 100, and the position where the abnormality detection target 100 is located.

  The staircase module 141, the bathroom module 142, the toilet module 143, the bedroom module 144, and the living module 145 are abnormality detection modules that are called by the abnormality determination unit 14 and perform abnormality detection processing according to each position in the building 5. .

  The stair module 141 is a module that performs an abnormality detection process on the stair. The bathroom module 142 is a module that performs an abnormality detection process in the bathroom. The toilet module 143 is a module that performs an abnormality detection process in the toilet. The bedroom module 144 is a module that performs an abnormality detection process in the bedroom. The living module 145 is a module that performs an abnormality detection process in the living room.

  The abnormality detection module is not limited to the staircase module 141, the bathroom module 142, the toilet module 143, the bedroom module 144, and the living module 145 shown in FIG. The abnormality detection device 1 can adopt a configuration including various other abnormality detection modules according to the position specified by the position specifying unit 12.

  FIG. 8 is a diagram illustrating an example of an address table. The address table 16 stores, for example, a location in the building 5 and position information corresponding to each address. The position information set in the address table 16 means a position where the abnormality detection target 100 is present.

  For example, the address “S-001” corresponds to the position “1 staircase” in the place “staircase”. Here, the position information “1 staircase” indicates the first staircase.

  Further, for example, the address “B-001” corresponds to the position “Bathroom” in the place “Bathroom”, and the address “T-001” corresponds to the position “Toilet” in the place “Toilet”. To do.

  Further, for example, the address “L-001” corresponds to the position “living entrance vertical 1 m, horizontal 2 m” in the place “living”. Here, the positional information “living entrance length 1 m, width 2 m” is, for example, in the living room shown in FIG. 9, when the entrance of the living room is a point O, the x axis direction 1 m centered on the point O, the y axis direction The coordinates of a 2 m point P (1,2) are shown. Accordingly, if the x-axis direction is the vertical direction and the y-axis direction is the horizontal direction, the position information “living entrance vertical 1 m, horizontal 2 m” indicates coordinates of 1 m vertical and 2 m horizontal from the entrance of the living room.

  Further, for example, the address “D-001” corresponds to the position “bedroom entrance length 1 m, width 2 m” in the place “bedroom”. The positional information “bedroom entrance length 1 m, width 2 m” indicates, for example, coordinates of 1 m length and 2 m width from the entrance of the bedroom.

  FIG. 10 is a diagram illustrating an example of information stored in the position information storage unit. The position information accumulation unit 13 accumulates the position where the abnormality detection target 100 specified by the position specification unit 12 is associated with the time. In the example shown in FIG. 10, the time and the position correspond one-to-one. However, in the present invention, for example, the position information storage unit 13 has a plurality of positions specified by the position specifying unit 12. In this case, a plurality of positions associated with a certain time may be accumulated.

  FIG. 11 is a diagram illustrating a configuration example of the abnormality determination module. The stair module 141 includes a threshold value 146 and a threshold value 147. When the position specified by the position specifying unit 12 is a staircase (for example, “step 1 staircase”, “step 2 staircase”, etc.), the abnormality determination unit 14 calls the staircase module 141. The stair module 141 called from the abnormality determination unit 14 uses the correspondence information between the time and the position stored in the position information storage unit 13 and the threshold value 146 to cause an abnormality in the abnormality detection target 100 on the stair. Judging.

  For example, the staircase module 141 checks the correspondence information between the time and the position in the position information storage unit 13 and the time until the change in position reaches five steps is equal to or less than a threshold value 146 (for example, 3 seconds). In this case, it is determined that an accident such as the abnormality detection target 100 falling from the stairs has occurred.

  Further, for example, the staircase module 141 checks the correspondence information between the time and the position in the position information storage unit 13 and if the position does not change by a threshold value 147 (for example, 5 minutes), the abnormality detection target 100 is the staircase. It is determined that an accident such as falling down and not moving occurred.

  The bathroom module 142 includes a histogram 148. The abnormality determining unit 14 calls the bathroom module 142 when the position specified by the position specifying unit 12 is a bathroom.

  The bathroom module 142 called from the abnormality determination unit 14 uses the correspondence information between the time and the position stored in the position information storage unit 13 and the histogram 148 to generate an abnormality in the abnormality detection target 100 in the bathroom. Judging.

  For example, the bathroom module 142 checks the correspondence information between the time information and the position information in the position information storage unit 13 and creates a histogram 148 as shown in FIG. In the histogram shown in FIG. 12, the horizontal axis indicates the time (minutes) or the time zone during which the abnormality detection target 100 is in the bathroom, and the vertical axis indicates each time zone in which the abnormality detection target 100 is in the bathroom ( For example, it is a count number of 20 minutes to 25 minutes and 25 minutes to 30 minutes).

  For example, the bathroom module 142 calculates a center value (for example, 32 minutes) of the time that the abnormality detection target 100 is in the bathroom based on the histogram 148. As the center value, for example, the time (time zone) with the largest count number in the histogram is used. Or you may make it calculate a center value by calculation, such as various dispersion | distribution and an average, for example.

  When the time during which the abnormality detection target 100 is currently in the bathroom is longer than the calculated center value by a predetermined time (for example, 5 minutes), the bathroom module 142 sets the abnormality detection target 100 as the abnormality detection target 100. Judge that an abnormality has occurred.

  The toilet module 143 includes a histogram 149. The abnormality determining unit 14 calls the toilet module 143 when the position specified by the position specifying unit 12 is a toilet. The toilet module 143 called from the abnormality determination unit 14 detects an abnormality in the abnormality detection target 100 in the bathroom using the correspondence information between the time information and the position information stored in the position information storage unit 13 and the histogram 149. Determine whether or not

  For example, the toilet module 143 checks the correspondence information between the time and the position in the position information storage unit 13 and, for example, the time (minutes) while the abnormality detection target 100 is in the toilet on the horizontal axis and the abnormality on the vertical axis A histogram 149 (not shown) is created that takes the counts of each time zone in which the detection target 100 is in the toilet (for example, a time zone of 5 minutes such as 15 minutes to 20 minutes and 20 minutes to 25 minutes). .

  The toilet module 143 calculates the time when the abnormality detection target 100 is currently in the toilet based on the created histogram 149, for example, based on the central value (for example, 20 minutes) of the time during which the abnormality detection target 100 is in the toilet. Furthermore, when it is longer by a predetermined time (for example, 5 minutes), it is determined that an abnormality has occurred in the abnormality detection target 100.

  The bedroom module 144 has a threshold value 150. When the position specified by the position specifying unit 12 is a bedroom, the abnormality determining unit 14 calls the bedroom module 144. The bedroom module 144 called from the abnormality determination unit 14 generates an abnormality in the abnormality detection target 100 in the bedroom using the correspondence information between the time and the position stored in the position information storage unit 13 and the threshold value 150. Judging.

  For example, the staircase module 141 checks the correspondence information between the time and the position in the position information storage unit 13, and if the position does not change for a threshold value 150 (for example, 12 hours), an abnormality occurs in the abnormality detection target 100. Judge that

  The living module 145 includes a threshold value 151. The abnormality determining unit 14 calls the living module 145 when the position specified by the position specifying unit 12 is a living room. The living module 145 called from the abnormality determination unit 14 generates an abnormality in the abnormality detection target 100 in the living room using the correspondence information between the time and the position stored in the position information storage unit 13 and the threshold value 151. Judging.

  For example, the living module 145 checks the correspondence information between the time and the position in the position information storage unit 13, and if the position does not change for a threshold value 151 (for example, 8 hours), an abnormality occurs in the abnormality detection target 100. Judge that

  Note that the threshold values 146, 147, 150, 151 included in the abnormality determination unit 14 and the histograms 148, 149 created by the abnormality determination unit 14 are respectively stored in predetermined storage areas of a memory (not shown).

FIG. 13 is a diagram illustrating an example of an abnormality detection process flow. Hereinafter, the flow of processing will be described according to step numbers S1 to S6 in the figure.
(S1) The IC tag information acquisition unit 11 acquires the IC tag information read by the IC tag reader 102 carried by the abnormality detection target 100.
(S2) The position specifying unit 12 specifies the position where the abnormality detection target 100 is located based on the address information included in the IC tag information.
(S3) The position specifying unit 12 stores the specified position in the position information storage unit 13 in association with the time. As a result, the correspondence information is generated and accumulated. Based on the newly accumulated correspondence information, the abnormality detection modules 142 and 143 generate the histograms 148 and 149, respectively. Note that the position specifying unit 12 may generate the histograms 148 and 149.
(S4) The abnormality determination unit 14 calls an abnormality detection module corresponding to the position specified in S2. The called abnormality detection module detects whether or not an abnormality has occurred in the abnormality detection target 100, and the abnormality detection result is returned to the abnormality determination unit 14.
(S5) The abnormality determination unit 14 determines whether an abnormality has occurred in the abnormality detection target 100 based on the received abnormality detection result.
(S6) When an abnormality occurs in the abnormality detection target 100, the abnormality notification unit 15 notifies the user device 4 of the content of the abnormality. For example, when the content of the abnormality is transmitted to the user device 4 by e-mail, a screen display as shown in FIG. 14 is displayed on the user device 4. For example, the user who sees the screen display shown in FIG. 14 is that the abnormality detection target 100 named “House Taro” does not move on the fourth-stage stairs for 5 minutes from 13:10 to 13:15. Can know. If no abnormality has occurred in the abnormality detection target 100, the process returns to S1.

  FIG. 15 is a principle diagram illustrating the process of specifying the position where the abnormality detection target 100 is present in S2 of FIG. In FIG. 15, it is assumed that the abnormality detection target 100 is moving on the floor material 53 arranged in a line. As shown in FIG. 15A, an IC tag 101 in which address information “1” to “10” is written is embedded in the floor material 53.

  When the abnormality detection target 100 carrying the IC tag reader 102 stands on the floor material 53 in which the IC tag in which the address information “5” is written is embedded, the IC tag reader 102 reads the address information “3”. IC tag information is simultaneously read from each of the IC tag 101 in which is written and the IC tag 101 in which address information “7” is written.

  The abnormality detection apparatus 1 acquires the five pieces of IC tag information read by the IC tag reader 102 and determines the address information “5” at the center of the address information “3” to the address information “7”. Then, the abnormality detection device 1 searches the address table 16 and identifies the position corresponding to the address information “5” as the position where the abnormality detection target 100 is located.

  As shown in FIG. 15B, when the abnormality detection target 100 is moved, the IC tag reader 102 includes each of the IC tag 101 in which the address information “4” is written and the IC tag 101 in which the address information “9” is written. IC tag information is read simultaneously.

  The abnormality detection apparatus 1 acquires six pieces of IC tag information read by the IC tag reader 102, and determines the address information “6” and “7” at the center of the address information “4” to the address information “9”. Then, the abnormality detection device 1 searches the address table 16 and identifies the position corresponding to the address information “6” and the position corresponding to the address information “7” as the position where the abnormality detection target 100 is located.

  FIG. 16A is a diagram illustrating an example of processing for specifying the position of an abnormality detection target on a staircase. As shown in FIG. 16A, it is assumed that the abnormality detection target 100 is on the stair step board 51 in which the IC tag 101 in which the address information “S-005” is written is embedded. The IC tag reader 102 simultaneously reads IC tag information from each of the IC tag 101 in which the address information “S-003” is written to the IC tag 101 in which the address information “S-007” is written.

  The abnormality detection apparatus 1 acquires the five pieces of IC tag information read by the IC tag reader 102. Then, the abnormality detection apparatus 1 determines “S-005”, which is address information at the center of the address information “S-003” to address information “S-007” included in the acquired IC tag information.

  Then, the abnormality detection device 1 searches, for example, the address table 16 shown in FIG. 8 and identifies “the five steps” corresponding to the address information “S-005” as the position where the abnormality detection target 100 is located. To do.

  FIG. 16B is a diagram illustrating an example of the process of specifying the position of the abnormality detection target in the living room. Note that, for example, the abnormality detection device 1 of the present invention has a configuration in which the coordinate information of each IC tag 101 in the building 5 is stored in a storage unit (not shown) in advance.

  When the abnormality detection target 100 is near the center of the living room as shown in FIG. 16B, the IC tag reader 102 reads the address information “L-002”, “L-006”, “L-007”, “ From each of the IC tags 101 in which “L-011”, “L-015”, “L-016”, “L-020”, “L-024”, “L-025”, and “L-029” are written IC tag information is read simultaneously.

  The abnormality detection device 1 acquires, for example, the IC tag information read by the IC tag reader 102, and coordinates of the position where the IC tag corresponding to each address included in the read IC tag information is embedded (for example, a living room). The coordinates (x, y)) with the entrance at the center being extracted from the storage means (not shown).

  Then, the abnormality detection device 1 calculates the coordinates of the center of gravity of each extracted coordinate, and the address “L-016” written in the IC tag located closest to the calculated center of gravity coordinates is shown in FIG. The address table 16 shown is searched, and the corresponding position “entrance length 5 m, width 6 m” is specified as the position where the abnormality detection target 100 is located.

  Note that the process for specifying the position of the abnormality detection target 100 in the bedroom is the same as the process for specifying the position of the abnormality detection target 100 in the living room, and a description thereof will be omitted.

  FIG. 16C is a diagram illustrating an example of the process of specifying the position of the abnormality detection target in the bathroom. When the abnormality detection target 100 is in the bathroom as shown in FIG. 16C, the IC tag reader 102 reads the IC tag information written on the IC tag 101 embedded in the handle 54 of the door 52. .

  The abnormality detection apparatus 1 acquires the IC tag information read by the IC tag reader 102, searches the address table 16 shown in FIG. 8 with the address information “B-001” included in the acquired IC tag information, and applies. The position “bathroom” is specified as the position where the abnormality detection target 100 is present.

  Note that the process for specifying the position of the abnormality detection target 100 in the toilet is the same as the process for specifying the position of the abnormality detection target 100 in the bathroom, and thus the description thereof is omitted.

FIG. 17 is a diagram illustrating an example of a processing flow of the living module. The flow of processing will be described below according to step numbers S11 to S15 in the figure.
(S11) The living module 145 monitors the position information in the position information storage unit 13.
(S12) The living module 145 determines whether the position of the abnormality detection target 100 has changed at the current time. If the position where the abnormality detection target 100 is located is changed, the process returns to S11.
(S13) When the position where the abnormality detection target 100 is not changed, the living module 145 calculates the time during which the position is not changed. For example, it is assumed that the current time is 16:15:00. Looking at the position information in the position information storage unit 13 shown in FIG. 10, the position “living entrance vertical 5 m, horizontal 6 m” does not change because it is 16:05:00 to 16:15:00. The time during which the calculated position has not changed is 10 minutes.
(S14) The living module 145 determines whether the calculated time is the threshold value 151 or more. For example, when the threshold 151 is set to 8 hours, it is determined whether the calculated time is 8 hours or more.
(S15) In S14, when the calculated time is equal to or greater than the threshold 151, the living module 145 notifies the abnormality determination unit 14 that an abnormality has been detected. If the calculated time is smaller than the threshold 151, the process returns to S11.

  By the processing of the living module 145, it is possible to detect that an abnormality has occurred in the abnormality detection target 100 in the living room. For example, it is possible to detect the occurrence of an abnormality such that an elderly person falls in the living room and does not move for a long time. That is, the abnormality of the abnormality detection target 100 can be correctly detected except when the living room is for 8 hours, for example. In addition, by appropriately setting the value of the threshold 151, the processing of the living module 145 can be optimized (or customized, the same applies hereinafter) according to each abnormality detection target 100.

  The processing flow of the bedroom module 144 is the same as the processing flow of the living module 145 shown in FIG. However, the threshold value 150 (12 hours) that the bedroom module 144 uses to detect an abnormality is different from the threshold value 151 (8 hours) that the living module 145 uses to detect an abnormality.

  Thereby, it is possible to correctly detect the abnormality of the abnormality detection target 100 except when the bedroom is for 12 hours, for example. Further, by separately setting the threshold value 150 different from the threshold value 151, the abnormal process in the bedroom can be made appropriate. In addition, by appropriately setting the value of the threshold 150, the processing of the bedroom module 145 can be optimized according to each abnormality detection target 100.

FIG. 18 is a diagram illustrating an example of a processing flow of the bathroom module. The flow of processing will be described below according to step numbers S21 to S27 in the figure.
(S21) The bathroom module 142 monitors the position information in the position information storage unit 13.
(S22) The bathroom module 142 determines whether the position of the abnormality detection target 100 has changed at the current time.
(S23) When the position where the abnormality detection target 100 is not changed, the bathroom module 142 calculates the time during which the position is not changed. For example, assume that the current time is 17:37:10. Looking at the position information in the position information storage unit 13 shown in FIG. 10, the time in the bathroom is from 17:02:10 to 17:37:10, so the time when the calculated position has not changed is 35 minutes.
(S24) The bathroom module 142 calculates a threshold based on the histogram 148. For example, the bathroom module 142 has a threshold value obtained by adding a predetermined time (for example, 5 minutes) to the central value (for example, 32 minutes) of the time during which the abnormality detection target 100 is in the bathroom in the histogram 148 shown in FIG. Calculate as
(S25) The bathroom module 142 determines whether the time during which the position calculated in S23 has not changed is equal to or greater than the threshold calculated in S24.
(S26) If the time during which the position has not changed is equal to or greater than the threshold value in S25, the bathroom module 142 notifies the abnormality determination unit 14 that an abnormality has been detected. If the time during which the position has not changed is smaller than the threshold, the process returns to S21.
(S27) When the position where the abnormality detection target 100 is changed in S22, the bathroom module 142 updates the histogram 148 based on the time when the abnormality detection target 100 was in the bathroom. In other words, for example, the bathroom module 142 updates the histogram 148 by incrementing the count of the time period in which the abnormality detection target 100 has been in the bathroom by one.

  By the processing of the bathroom module 142, it is possible to detect that an abnormality has occurred in the abnormality detection target 100 in the bathroom. For example, it is possible to detect the occurrence of an abnormality such that an elderly person loses consciousness in a bathroom and does not move for a long time. In addition, by using the histogram 148 that is updated each time it is used, the time spent in the bathroom of each abnormality detection target 100 can be learned, and accordingly, the processing of the bathroom module 142 is performed according to each abnormality detection target 100. Can be optimized.

  In addition, since the processing flow of the toilet module 143 is the same as the processing flow of the bathroom module 142 shown in FIG. 18, description is abbreviate | omitted. However, the histogram 149 used by the toilet module 143 to detect an abnormality is different from the histogram 148 used by the bathroom module 142 to detect an abnormality.

  Thereby, the abnormality of the abnormality detection object 100 can be correctly detected except when the normal time is in the toilet. Further, by separately setting a histogram 149 that is different from the histogram 148, abnormal processing in the toilet can be made appropriate. Further, by learning the time spent in the toilet of each abnormality detection target 100, the processing of the toilet module 143 can be optimized according to each abnormality detection target 100.

FIG. 19 is a diagram illustrating an example of a processing flow of the staircase module. The flow of processing will be described below according to step numbers S31 to S38 in the figure.
(S31) The staircase module 141 monitors the position information in the position information storage unit 13.
(S32) The staircase module 141 determines whether the position where the abnormality detection target 100 is changed at the current time. For example, if the current time is, for example, 15:03:03, the position information in the position information storage unit 13 shown in FIG. You can see that it has moved to.
(S33) When the position where the abnormality detection target 100 is changed in S32, the stair module 141 determines whether the position of the abnormality detection target 100 has changed by a predetermined number of steps. The predetermined number of steps is, for example, 5 steps. For example, when the position information in the position information storage unit 13 shown in FIG. 10 is viewed, it can be seen that the positions of five steps from “step 10 steps” to “step 5 steps” have changed.

If the position of the abnormality detection target 100 has not changed by the predetermined number of steps, the process returns to S31.
(S34) In S33, when the position where the abnormality detection target 100 is changed by a predetermined number of stairs, the stair module 141 calculates a time until it changes by a predetermined number of stairs. For example, when the position information in the position information storage unit 13 shown in FIG. 10 is viewed, the time until the position of five steps from “step 10 steps” to “step 5 steps” changes is 3 seconds.
(S35) The staircase module 141 determines whether or not the time until the change by the predetermined number of steps calculated in S34 is equal to or less than a threshold value 146 (for example, 5 seconds).
(S36) In S35, when the time until the predetermined number of stairs changes is equal to or less than the threshold value 146 (for example, 5 seconds), the stairs module 141 determines that an abnormality has been detected. 14 is notified. If the time required to change by the predetermined number of steps is larger than the threshold value 146, the process returns to S31.
(S37) When the position where the abnormality detection target 100 is not changed in S32, the stair module 141 calculates the time during which the position has not changed.
(S38) The staircase module 141 determines whether the time during which the position has not changed calculated in S37 is equal to or greater than the threshold value 147. For example, if the threshold value 147 is 5 minutes, it is determined whether the time during which the position has not changed is 5 minutes or more. When the time during which the position has not changed is equal to or greater than the threshold value 147, the process proceeds to S36, and the stair module 141 notifies the abnormality determination unit 14 that an abnormality has been detected. If the time during which the position has not changed is smaller than the threshold value 147, the process returns to S31.

  By the processing of the staircase module 141, it can be detected that an abnormality has occurred in the abnormality detection target 100 on the staircase. For example, according to the processing of the staircase module 141, it is possible to detect the occurrence of an abnormality such that an elderly person falls on the staircase and does not move for a long time. In addition, for example, it is possible to detect the occurrence of an abnormality such as an elderly person falling from the stairs. That is, by appropriately setting the value of the threshold value 147, the processing of the staircase module 141 can be optimized according to each abnormality detection target 100. Also, by setting the staircase threshold value 147 separately, the abnormal processing on the staircase can be made appropriate. Further, by appropriately setting the value of the threshold value 147, the processing of the staircase module 141 can be optimized according to the speed of ascending the individual abnormality detection target 100 stairs.

  The present invention can also be implemented as a program that is read and executed by a computer. The program for realizing the present invention can be stored in an appropriate recording medium such as a portable medium memory, a semiconductor memory, and a hard disk, which can be read by a computer, provided by being recorded in these recording media, or communication. It is provided by transmission / reception using a network via an interface.

It is a figure which shows the outline | summary of the system configuration example of this invention. It is a figure which shows the data structural example of IC tag information. It is a figure explaining the flow from embedding an IC tag to a building member to construction of a building. It is a figure explaining the flow from embedding an IC tag to a building member to construction of a building. It is a figure which shows an example of the floor plan of the constructed building. The example of the figure which looked at the stairs from the side, the example of the figure which looked at the living room from the top, and the example of the figure which looked at the bathroom from the side. It is a figure which shows an example of a structure of an abnormality detection apparatus. It is a figure which shows an example of an address table. It is a figure which shows the coordinate in living. It is a figure which shows an example of the information accumulate | stored in a positional information storage part. It is a figure which shows the structural example of an abnormality determination module. It is a figure which shows an example of a histogram. It is a figure which shows an example of an abnormality detection process flow. It is a figure which shows the example of the content of the abnormality displayed on a screen on a user apparatus. It is a principle figure explaining the specific process of the position where an abnormality detection target exists. It is a figure which shows an example of the specification process of the position of the abnormality detection target in a staircase, the figure which shows an example of the specification process of the position of the abnormality detection target in a living room, and the figure which shows an example of the specification process of the position of the abnormality detection target in a bathroom. It is a figure which shows an example of the processing flow of a living module. It is a figure which shows an example of the processing flow of a bathroom module. It is a figure which shows an example of the processing flow of a staircase module.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Abnormality detection apparatus 2 Network 3 Relay host 4 User apparatus 5 Building 11 IC tag information acquisition part 12 Location specification part 13 Location information storage part 14 Abnormality judgment part 15 Abnormality notification part 16 Address table 100 Abnormality detection object 101 IC tag 102 IC Tag reader 141 Stair module 142 Bathroom module 143 Toilet module 144 Bedroom module 145 Living module

Claims (4)

An anomaly detection device for detecting an anomaly occurring in an anomaly detection target in a building,
IC tag information reading means for reading the IC tag information written on the IC tag carried by the abnormality detection target and attached to the building member constituting the building;
IC tag information acquisition means for acquiring IC tag information read by the IC tag information reading means;
Based on the acquired IC tag information, position specifying means for specifying the position where the abnormality detection target is present;
Position information accumulating means for accumulating correspondence information between a position where the specified abnormality detection target is located and time;
An abnormality determination means for determining whether an abnormality has occurred in the abnormality detection target, based on the accumulated correspondence information between the position where the abnormality detection target is and the time;
An abnormality detection device comprising: an abnormality notification unit that notifies the content of the abnormality that has occurred when the abnormality determination unit determines that an abnormality has occurred in the abnormality detection target. The abnormality detection device according to claim 1, further comprising:
One or a plurality of abnormality detection units that are called by the abnormality determination unit according to a position where the abnormality detection target specified by the position specifying unit is present and detect an abnormality that occurs in the abnormality detection target are provided. Anomaly detection device. In the abnormality detection device according to claim 2,
The abnormality detection means monitors the correspondence information between the position where the abnormality detection target is stored and the time stored in the position information storage means, and the time during which the position where the abnormality detection target is not changed is determined in advance. When the value is equal to or greater than the threshold value, it is determined that an abnormality has occurred in the abnormality detection target. In the abnormality detection device according to claim 2,
The abnormality detection unit monitors the correspondence information between the position where the abnormality detection target is stored and the time stored in the position information storage unit, and the position where the abnormality detection target is changed changes by a predetermined amount. When the time until the time is equal to or less than a predetermined threshold, it is determined that an abnormality has occurred in the abnormality detection target.

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