JP2007263888A - Building diagnosis system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a building diagnosis system capable of detecting an abnormality of a building by utilizing external data, without depending on a determination reference value such as a threshold. <P>SOLUTION: In a diagnosis means 150, it is determined whether present value data are in a normal range or not by being compared with a prescribed threshold or history data, and furthermore abnormality determination using the external data is performed, when determined that the present value data are within the normal range. In the abnormality determination using the external data, a changing state in future of the present value data in the normal range at present is estimated by using the external data. In the estimation, the history data can be also used as the need arises. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a building diagnostic system that monitors the state of a building such as a house and determines aged deterioration or abnormality.

  In recent years, in order to contribute to the safety of houses and the improvement of life, etc., a system that monitors the soundness of buildings by installing sensors in buildings such as houses to acquire information inside and outside the buildings Development is in progress (Patent Documents 1, 2, and 3). The information inside and outside the building is also used for judgment of building assessment, reconstruction, rebuilding and the like.

  In a conventional system for monitoring a building (for example, systems described in Patent Documents 1, 2, and 3), a threshold value set in advance for data acquired from a sensor or the like, or a threshold value set by a predetermined method In comparison with the above, when the acquired data exceeds the threshold, it is determined that a defect has occurred in the building.

For example, in Patent Document 1, state information such as distortion, water leakage, dew condensation, and fire of each part in the house is acquired using an optical fiber having a sensor function installed in the house. On the basis of the acquired data, Patent Document 1 detects a malfunction of a house by examining the change with time of the acquired data. Specifically, when a change exceeds a predetermined threshold value compared with past acquired data, it is determined that some trouble has occurred, and the owner of the house is notified.
JP 2002-140774 A JP 2005-107797 A JP 2000-76354 A

  However, the conventional building diagnostic system has the following problems. That is, in order to determine a defect in a building, conventionally, data acquired by a sensor is compared with a predetermined threshold value set in advance. Therefore, it was not possible to detect a defect in the building until the threshold value was exceeded.

  Further, the predetermined threshold value need not only be set for each building, but also needs to be reviewed according to changes in the environment surrounding the building. However, it is extremely difficult to review the threshold value for each building, and the operation is costly. Therefore, the threshold value is not generally reviewed. For this reason, when the threshold value is not appropriate due to an environmental change or the like, there has been a problem that it is impossible to normally determine the defect of the building.

  Therefore, the present invention has been made to solve these problems, and an object of the present invention is to provide a building diagnostic system capable of detecting an abnormality of a building by using external data.

  According to a first aspect of the building diagnostic system of the present invention, there is provided a detection device for measuring a state quantity of a building, a first storage means for storing measurement data measured by the detection device, and a predetermined externally. Communication means for receiving external data, second storage means for storing the external data received by the communication means, diagnostic means for determining abnormality of the building from the measurement data and the external data, and And a display means for displaying a determination result by the diagnosis means.

  A second aspect is a building diagnosis system in which the diagnosis unit performs the abnormality determination by estimating a change in the measurement data based on the external data.

  In a third aspect, the diagnostic means includes a building unique information database for storing building unique information calculated by statistically processing the external data and the measurement data, and the newly input external data and The change amount of the state quantity corresponding to the external data is calculated from the building unique information stored in the building unique information database, and the calculated value of the change amount and the current value of the measurement data are statistically calculated. The amount of change in the state quantity of the building is calculated and stored in the building specific information database, and the allowable change amount is estimated from the difference between the amount of change in the state quantity of the building and a predetermined threshold value. It is a building diagnostic system characterized by that.

  In a fourth aspect, the diagnostic means calculates a strain change amount corresponding to the external data from the building unique information stored in the structure unique information database, and calculates the strain change amount and the calculated value. The present invention is a building diagnostic system characterized in that a current strain change amount is calculated by statistical processing from a current value of measurement data and stored in a structure specific information database.

  A fifth aspect is characterized in that the external data is data related to an earthquake and / or weather, and is data related to wide area information including a location of the structure, medium area information, and narrow area information. It is a building diagnostic system.

  A sixth aspect is a building diagnostic system further comprising a display data processing unit that generates display data from the measurement data, the external data, and the determination result of the diagnostic means.

  The seventh aspect further comprises control means for inputting a determination result from the diagnostic means and sending a predetermined control signal to a control facility provided in the building based on the determination result. This is a physical diagnosis system.

  According to an eighth aspect, the building diagnosis system is characterized in that the detection device includes two or more autonomous sensors, and the abnormality detection of each autonomous sensor is performed using data transmitted and received between the autonomous sensors. It is.

  A ninth aspect is a building diagnostic system, wherein the detection device includes an automatic repairing means for repairing the autonomous sensor in which an abnormality has been detected.

  According to a tenth aspect of the present invention, the building includes an external notification means for notifying a predetermined notification destination of notification data including part or all of the display data generated by the display data processing unit. This is a physical diagnosis system.

  An eleventh aspect is a building diagnosis system in which the external notification unit notifies the notification destination of the notification data using the communication unit.

  The twelfth aspect further includes another notification means for communicating with the notification destination, wherein the external notification means notifies the notification data to the notification destination using the another communication means. It is a building diagnostic system.

  A thirteenth aspect is a building diagnostic system, wherein the external notification unit includes an automatic notification unit that automatically notifies the notification destination of predetermined alarm information based on a determination result by the diagnostic unit. .

  A fourteenth aspect is a building diagnosis system in which the automatic notification unit notifies the notification destination of map (GIS) information of the building in addition to the alarm information.

  A fifteenth aspect is a building diagnostic system, wherein the external notification means notifies the notification data when a request signal is received from the notification destination.

As described above, according to the present invention, there is provided a building diagnosis system that can detect an abnormality of a building without using a reference value such as a threshold by using external data.
According to the present invention, in addition to the current value data and history data that are the state quantities of the building, the abnormality determination is performed using the external data input from the outside, so that the normal value that does not exceed the threshold or the like Even if it is determined to be in the range, it is possible to perform abnormality determination early by estimating the change in the state quantity related to the building such as the current value data using the external data. .

  A configuration of a building diagnosis system according to a preferred embodiment of the present invention will be described in detail with reference to the drawings. In addition, about each structural part which has the same function, the same code | symbol is attached | subjected and shown for simplification of illustration and description.

FIG. 1 is a block diagram showing a configuration of a building diagnostic system according to the first embodiment of the present invention. The building diagnostic system 100 according to the present embodiment includes a detection device 110 including various sensors installed in a building, a first storage unit 120 that stores measurement data measured by the detection device 110, and an external device. A communication means 130 for receiving external data from a public organization, a second storage means 140 for storing the external data received by the communication means 130, and the building from the measurement data and the external data And a display unit 160 for displaying a determination result by the diagnosis unit 150.
The detection device 110 includes various sensors selected according to the type of data to be measured, and is installed at an appropriate place in the building. The measurement data acquired by the detection device 110 is sent to the first storage means 120, where it is appropriately sorted and stored as described below.

  The first storage unit 120 classifies the measurement data sent from the detection device 110 according to the data type, measurement timing, and the like in the data classification / storage module 121 and stores the data in the current value database 122 as current value data. save. Further, the data classification / storage module 121 moves the current value data already stored in the current value database 122 to the history database 123 as history data, or stores each data stored in the current value database 122 and the history database 123. Are averaged and stored in the history database 123 as long-term history data.

  On the other hand, the second storage unit 140 receives external data from an external public institution or the like via the communication unit 130 and stores it in the wide / medium / narrow area information database 141. Examples of the external public organizations include the Japan Meteorological Agency, the Waterworks and Sewerage Bureau, and the like, and necessary data can be selected and input in advance from the databases of each organization. Further, it is possible to input external data via the communication means 130 from an organization that provides effective data to this system, not limited to a public organization.

  Examples of the external data include earthquake information or weather information input from the Japan Meteorological Agency. The second storage means 140 extracts and stores data relating to the location of the structure from the earthquake information or weather information. Alternatively, it is possible to input and store more detailed regional information from a fire department or the like in the same area as the structure.

 The diagnosis unit 150 receives the current value data and the history data from the first storage unit 120 and the external data from the second storage unit 140, and an abnormality occurs in the building based on these data. It is determined whether or not. In the building diagnostic system 100 according to the present embodiment, the diagnosis unit 150 determines an abnormality using not only the current value data and the history data, which are the state quantities of the building, but also the external data input from the outside. It is characterized by.

 That is, the diagnosis unit 150 compares the current value data with a predetermined threshold value or the history data to determine whether or not it is in a normal range, and further performs abnormality determination using external data. The diagnostic unit 150 includes a target building unique information database 152. The building unique information database 152 includes statistical information on the relationship between past external data and past measurement data corresponding thereto. The quantity is stored in advance as information unique to the building.

  When new external data is input, the diagnostic means 150 calculates the amount of change in the state quantity corresponding to the external data using the data stored in the building specific information database 152, and calculates the calculated value and the current value. The statistical value is calculated from the measured value of the amount of change in the state quantity (for example, the average value or the standard deviation is obtained), the amount of change in the state quantity of the building is obtained, and the information specific to the target building Are newly stored in the building specific information database 152 in correspondence with the external data.

  Then, from the difference between the value of the change amount and the predetermined threshold value, for example, it is possible to estimate how much the state quantity of the building changes in the future and exceeds the predetermined threshold value. Further, in the abnormality determination using the external data, it is possible to estimate how the current value data currently in the normal range will change using the external data.

  For example, if the external data is the seismic intensity of the earthquake and the state quantity of the building is the amount of distortion, the seismic intensity is input as external data every time an earthquake of a predetermined seismic intensity or more occurs, and every time this external data is input The amount of strain change peculiar to the building is obtained by statistical calculation, and the amount of strain change peculiar to the building obtained by this statistical calculation is stored in the building peculiar information database in correspondence with the seismic intensity value as the external data. Therefore, the distortion amount α of the building with respect to a certain seismic intensity A can be estimated by using the unique information data of the building stored in the building unique information database.

  Therefore, according to the present embodiment, with respect to the building, the amount of strain β (allowable change amount) reaching the predetermined threshold is estimated from the difference between the value of the amount of strain obtained by statistical calculation and the predetermined threshold. It is also possible to estimate the seismic intensity value at which the distortion β occurs. In this estimation, the history data can also be used as necessary.

 The result of the abnormality determination by the diagnostic unit 150 is displayed to the owner of the building using the display unit 160. The display unit 160 is preferably configured to include, for example, a monitor 161, and the monitor 161 is preferably configured to display the abnormality determination result in a predetermined format. In addition, it is preferable that the diagnosis unit 150 includes an abnormality-related database 151 to store the abnormality determination result so that the abnormality determination result can be displayed on the monitor 161 as necessary.

  In addition to the above configuration, a display data processing unit 162 is added in the building diagnostic system 100 of the present embodiment. The display data processing unit 162 generates display data from the current value data, the history data, the external data, and the abnormality determination result by the diagnosis unit 150 and displays the display data on the monitor 161. The display data can be created according to a processing procedure set in advance, but an input unit (not shown) is further provided in the display means 160, and the display data is created based on a request from the input unit. Display on the monitor 161.

  According to the building diagnosis system 100 of the present embodiment configured as described above, diagnosis is performed using the external data input from the outside in addition to the current value data and the history data that are the state quantities of the building. Since it is made to perform abnormality determination by the means 150, even if it is determined that it is in a normal range that does not exceed a threshold or the like, the external data is used to relate to the building such as the current value data. It is possible to perform abnormality determination at an early stage by estimating the change in the state quantity.

  In the present embodiment, in order not to use abnormal measurement data, the detection device 110 may have a function for detecting an abnormality of a sensor provided in the detection device 110 at an early stage. it can. An embodiment of the detection device 110 is shown in FIG.

  2 includes a plurality of sensors 111a to 111e, a sensor CPU control unit 112 for controlling a CPU (central processing unit) provided in each of the sensors 111a to 111e, and a sensor state determination. Unit 113 and automatic repairing means 114. The sensors 111a to 111e are sensors for measuring temperature, humidity, inclination (inclination of building pillars, etc.), illuminance, and rainfall, respectively. Such various sensors can be provided to the detection device 110 as necessary.

  The sensor CPU control unit 112 inputs operation information of the CPU provided in each of the sensors 111 a to 111 e and outputs it to the sensor state determination unit 113. A sensor state determination unit 113 determines a sensor that is not operating normally based on the operation information of the CPU. When a sensor that is not operating normally is determined, it is output as abnormal sensor information to the display data processing unit 162, where it is processed into a predetermined display format and displayed on the monitor 161. Further, the abnormality sensor information can be further stored in the abnormality-related database 151 and can be displayed on the monitor 161 as necessary.

  The abnormal sensor information is also output to the sensor CPU control unit 112, and the sensor determined to be abnormal by the sensor CPU control unit 112 can be prevented from being used thereafter. The detection device 110 of the embodiment shown in FIG. 2 is further configured to include an automatic repairing unit 114, and when the abnormal sensor is detected by the sensor state determination unit 113, the abnormal sensor information is input. .

The automatic repair unit 114 includes a repair procedure for each of the sensors 111a to 111e included in the detection device 110 in advance. The sensor CPU determines the repair procedure of the sensor determined to be abnormal by the sensor state determination unit 113. Output to the control unit 112. The sensor CPU control unit 112 repairs the abnormal sensor based on the input repair procedure.
When the detection apparatus 110 is provided with two or more sensors, each of the sensors can be an autonomous sensor. When each sensor is an autonomous sensor, each data is transmitted and received between the sensors, and each sensor detects an abnormality of itself or an abnormality of another sensor using data input from another sensor. It becomes possible to make it detect.

  That is, when the sensors 111a to 111e are autonomous sensors, the data measured by each of the sensors 111a to 111e is compared with data input from another autonomous sensor, and the data is checked for any abnormal change. be able to. When data determined to be abnormal is detected, the autonomous sensor that measured the data is determined to be abnormal, and the information is sent to the sensor CPU control unit 112.

  The sensor CPU control unit 112 can prevent the abnormal sensor from being used thereafter based on the abnormal sensor information input from each of the autonomous sensors. Further, the abnormal sensor information is output from the sensor CPU control unit 112 to the automatic repairing unit 114, and a repair procedure for the abnormal sensor is input from the automatic repairing unit 114 in the same manner as described above. It is also possible to perform repair.

  A second embodiment of the building diagnostic system of the present invention will be described below with reference to FIG. The building diagnosis system 200 of this embodiment is further provided with a control means 210 in the first embodiment. The control unit 210 controls a control device provided in the building in order to repair or alleviate the abnormal state of the building when an abnormality determination is made by the diagnosis unit 150.

  Examples of the control device controlled by the control means 210 include an air conditioner, a power breaker, and a fire door in the building. According to the content of the abnormality determination result in the diagnosis unit 150, the control device to be operated by the control unit 210 can be selected to perform activation control. The control device operated by the control unit 210 may perform ON / OFF control, or may perform analog control.

  A third embodiment of the building diagnostic system of the present invention will be described below with reference to FIG. The building diagnostic system 300 of this embodiment is configured to further include an external notification means 310 in the first embodiment. The external notification unit 310 has a function of notifying a part or all of the display data generated by the display data processing unit 162 to a predetermined external notification destination.

  The notification to the notification destination by the external notification means 310 is made to input a request signal from the notification destination or the owner of the building, and the notification data when the external notification means 310 inputs the request signal. Can be notified. The notification data to the notification destination may include the result of the abnormality determination performed by the diagnosis unit 150, and may further include the current value data and history data as necessary.

  As the notification destination, for example, there is a public organization such as a municipal office or a fire department, and it is possible to urgently notify the abnormality of the building and request an appropriate response. In this case, it is preferable to add map (GIS) information of the building to the notification data. By notifying the notification destination of the building map (GIS) information, the notification destination can quickly take an appropriate action.

  The communication unit 130 can be used as a communication unit that the external notification unit 310 notifies the notification destination. Alternatively, another communication unit 320 may be provided, and the notification destination may be notified via the other communication unit 320. The external notification unit 310 can appropriately select the communication unit 130 or another communication unit 320 according to the notification destination.

  In the above-described external notification means 310, the notification data is notified after the request signal from the notification destination or the building owner is input, but based on the determination result by the diagnosis means 150. In addition, an automatic notification unit 330 that automatically notifies the notification destination of predetermined alarm information may be provided. By providing the external notification means 310 with the automatic notification means 330, when the abnormality is determined by the diagnosis means 150, the result can be immediately notified to the notification destination.

  One embodiment for performing an abnormality diagnosis of a building using the building diagnosis system of the present invention will be described below with reference to FIG. In this embodiment, a plurality of strain sensors are installed in the building as sensors included in the detection device 110, and narrow / medium / wide area information is input from the meteorological agency, which is an external public organization. FIG. 5 is a flowchart showing a diagnostic algorithm by the diagnostic means 150. In the following description, the contents of the processing performed by the diagnostic system 160 are the case except where otherwise specified.

In FIG. 5, in step S <b> 1, strain data is acquired from the strain sensor provided in the detection device 110 at regular time intervals, and the strain data is stored in the current value database 122 by the first storage unit 120. Further, in step S2, statistical calculation (for example, calculating an average value, standard deviation, etc.) is performed for each population such as one day, one week, one month, and one year of the strain data, and these are recorded as a history. Save in the database 123.
In step S3, the current value of the distortion data measured by the detection device 110 is compared with past data stored in the history database 123, and it is determined in step S4 whether there is a change in both. If there is no change, the process returns to step S1 and waits for the fixed time interval to elapse.

  On the other hand, if it is determined in step 4 that the current value of the distortion data has changed beyond a predetermined range from the past data, is the current value of the distortion data within a predetermined allowable range in step S5? If the allowable range is exceeded, the display means 160 notifies the owner of the building of the abnormality of the distortion data in step S10. If the present value of the distortion data is within the allowable range, the process proceeds to step S6.

 The predetermined information includes information on the seismic intensity of the recent earthquake from the Japan Meteorological Agency, information on the area where the earthquake occurred, or precipitation around the location of the building. Based on the information acquired from the outside by the second storage unit 140, it is determined in step S7 whether there is earthquake or heavy rain information. As a result, if there is no earthquake or heavy rain information, the earthquake information or heavy rain information is stored in step S8, and the process returns to step S1.

On the other hand, if it is determined in step S7 that the earthquake or heavy rain has occurred, then in step S9, the amount of strain change due to the earthquake or heavy rain is estimated, the future earthquake resistance of the building is predicted, and the prediction The result is notified to the owner of the building by the display means 160.
As described above, according to the building diagnosis system of the present invention, when the measurement data of the building is within a predetermined allowable range, the influence on the measurement data is further estimated using external data, and the result Therefore, the abnormality determination of the building can be performed more accurately, and the early detection of the abnormality becomes possible.

  The contents of the process in step S9 will be described in more detail with reference to the flowchart shown in FIG. For example, when an earthquake occurs and external data is input to the diagnostic unit 150, first, in step S11, a distortion change amount (dn) of the building corresponding to the external data is calculated, and this is converted into a structure-specific value. Newly stored in the information database 152.

  The strain change amount (dn) is calculated by calculating the external data and the corresponding strain change amount using data stored in advance in the structure specific information database 152, and the current amount of the building. It is obtained by performing a statistical calculation (for example, calculating an average value or a standard deviation) from the measurement data (in this case, the amount of change in strain). An example of the estimated distortion change amount (dn) is shown in FIG. Next, in step S12, a distortion amount (D) from a difference between a predetermined allowable range (threshold value) and the distortion change amount (dn) to a predetermined allowable range is estimated.

  Next, in step S13, the distortion amount (D) estimated in step S12 is compared with predetermined reference values d1, d2,. Here, the above-mentioned predetermined reference values d1, d2,... Dn can be, for example, the amount of distortion generated by an earthquake for each seismic intensity. As a result, in step S13, it can be estimated how much seismic intensity the next time the earthquake will exceed the allowable range. As a result of the estimation, if it is determined that there is no abnormality, the process ends. If it is determined that there is an abnormality, it is stored in the abnormality-related database in step S14, and the owner or the like is notified using the display means 160, for example. To do.

  Another embodiment for diagnosing a building abnormality using the building diagnosis system of the present invention will be described below with reference to FIG. In this embodiment, a plurality of temperature sensors and humidity sensors are installed as a detection device 110 in a building, and the temperature and humidity of narrow / medium / wide area information are input from the meteorological agency, which is an external public organization. Hereinafter, the diagnostic algorithm by the diagnostic unit 150 shown in FIG. 8 will be described focusing on characteristic points.

  In step S22, temperature and humidity information for each narrow, medium, and wide area is acquired from the Japan Meteorological Agency as external data and stored in the wide, medium, and narrow area information database 141. In step S23, the external data is divided into the temperature and humidity for each of the wide, medium, and narrow regions, and the difference between the temperature and humidity measured by the sensor of the detection device 110 is obtained for each region. The difference between the temperature and the humidity obtained for each region is statistically calculated to obtain the temperature Tr and the humidity Hr, and these are stored in the wide / medium / narrow region information database 141 as data unique to the structure. In step S24, it is determined whether or not the values of the temperature Tr and the humidity Hr exceed predetermined specified values.

  If it is determined in step S24 that the values of temperature Tr and humidity Hr exceed predetermined specified values, a timer is started in step S25, and it is determined in step S27 that the timer time exceeds a predetermined value. If so, it is determined that there is an abnormality and the process proceeds to step S28. FIG. 9 shows an example of changes in temperature and humidity of measurement data in this example. In the figure, the time t after the specified value is exceeded is counted by the timer.

  For example, when heavy rain falls, the humidity etc. in the building changes regardless of the presence or absence of abnormalities, and increases, but when there is no abnormality after the rain stops, the humidity Hr decreases after a certain period of time. When there is an abnormality such as underfloor inundation, the humidity Hr does not decrease even if a certain period of time elapses. Therefore, by using a timer, the time t after the temperature Tr or humidity Hr exceeds the specified value is counted. The presence or absence of abnormality in the building can be determined.

  In step S28, the current value data of temperature and humidity, the temperature and humidity acquired from the outside, and the timer time indicating the abnormal period are stored in the abnormality-related database 151 as the abnormality determination result.

  As described above, also in the present embodiment, it is possible to detect the abnormality of the building at an early stage using the temperature and humidity information of the external data. According to the present embodiment, for example, it is possible to notify at an early stage the possibility of flooding under the floor, cracks in piping, rain leakage due to damage to the roof, and the like.

  In addition, the description in this Embodiment shows an example of the building diagnostic system which concerns on this invention, and is not limited to this. The detailed configuration and detailed operation of the building diagnosis system in the present embodiment can be appropriately changed without departing from the spirit of the present invention.

FIG. 1 is a block diagram showing a configuration of a building diagnostic system according to the first embodiment of the present invention. FIG. 2 is a block diagram showing an embodiment of the detection device. FIG. 3 is a block diagram showing a configuration of a building diagnostic system according to the second embodiment of the present invention. FIG. 4 is a block diagram showing a configuration of a building diagnosis system according to the third embodiment of the present invention. FIG. 5 is a flowchart showing a diagnosis algorithm by the diagnosis means of the embodiment of the present invention. FIG. 6 is a flowchart showing a prediction algorithm by the diagnosis unit of the embodiment of the present invention. FIG. 7 is a diagram illustrating an example of the distortion change amount (dn) estimated by the diagnosis unit of the embodiment of the present invention. FIG. 8 is a flowchart showing a diagnosis algorithm by the diagnosis means of another embodiment of the present invention. FIG. 9 is a diagram showing changes in temperature and humidity of measurement data in another example of the present invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100,200 ... Building diagnostic system 110 ... Detection apparatus 111a-111e ... Sensor 112 ... Sensor CPU control part 113 ... Sensor state discrimination | determination part 114 ... Automatic restoration means 120 ... First storage means 121 ... Data sorting / storage module 122 ... Current value database 123 ... History database 130 ... Communication means 140 ... Second storage means 141 ... Wide / mid range Information database 150 ... diagnostic means 151 ... abnormality related database 152 ... structure specific information database 160 ... display means 161 ... monitor 162 ... display data processing unit 210 ... control means 310 ... External notification means 320 ... Another communication means 330 ... Automatic notification means

Claims (15)

A detection device for measuring the state quantity of the building;
First storage means for storing measurement data measured by the detection device;
Communication means for receiving predetermined external data from outside;
Second storage means for storing the external data received by the communication means;
A diagnostic means for performing an abnormality judgment of the building from the measurement data and the external data, and a display means for displaying a judgment result by the diagnostic means;
A building diagnostic system comprising: The building diagnosis system according to claim 1, wherein the diagnosis unit performs the abnormality determination by estimating a change in the measurement data based on the external data. The diagnostic means includes a building unique information database that stores building unique information calculated by statistically processing the external data and the measurement data,
A change amount of the state quantity corresponding to the external data is calculated from the newly input external data and the building unique information stored in the building unique information database, and the calculated value of the change amount While statistically processing the current value of the measurement data and calculating the amount of change in the state quantity of the building and storing it in the building specific information database,
The allowable change amount is estimated from the difference between the change amount of the state quantity of the building and a predetermined threshold value,
The building diagnostic system according to claim 2. The diagnostic means calculates a strain change amount corresponding to the external data from the building unique information stored in the structure unique information database, and calculates the strain change amount and a current value of the measurement data. 4. The building diagnostic system according to claim 3, wherein the current strain change amount is calculated from the data by statistical processing and stored in the structure specific information database. The external data is data relating to earthquakes and / or weather,
The building diagnostic system according to any one of claims 1 to 4, wherein the building diagnostic system is data related to wide area information, middle area information, and narrow area information including a location of the structure. The building according to any one of claims 1 to 5, further comprising a display data processing unit that generates display data from the measurement data, the external data, and a determination result of the diagnostic means. Diagnostic system. 7. The apparatus according to claim 1, further comprising a control unit that inputs a determination result from the diagnosis unit and sends a predetermined control signal to a control facility provided in the building based on the determination result. The building diagnostic system according to any one of the above. The detection device includes two or more autonomous sensors, and detects abnormality of each autonomous sensor using data transmitted and received between the autonomous sensors. The building diagnostic system according to item 1. 9. The building diagnosis system according to claim 8, wherein the detection device includes an automatic repair means for repairing the autonomous sensor in which an abnormality has been detected. 9. The apparatus according to claim 1, further comprising an external notification unit configured to notify notification data including part or all of the display data generated by the display data processing unit to a predetermined notification destination. The building diagnostic system according to any one of the above. The said external notification means notifies the said notification data to the said notification destination using the said communication means, The building diagnostic system of Claim 10 characterized by the above-mentioned. Further comprising another notification means for communicating with the notification destination,
The said external notification means notifies the said notification data to the said notification destination using the said another communication means, The building diagnostic system of Claim 10 characterized by the above-mentioned. 13. The external notification unit includes an automatic notification unit that automatically notifies the notification destination of predetermined alarm information based on a determination result by the diagnosis unit. The building diagnostic system described in 1. 14. The building diagnosis system according to claim 13, wherein the automatic notification unit notifies the notification destination of map (GIS) information of the building in addition to the alarm information. The external notification means notifies the notification data when a request signal is received from the notification destination;
The building diagnostic system according to any one of claims 10 to 14, wherein the building diagnostic system is characterized.

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