JP2021167511A - Structure analysis system - Google Patents

Abstract

To provide a structure analysis system capable of appropriately determining the state of a structure such as a bridge.SOLUTION: A structure analysis system 10 comprises: a moving image acquisition unit 11 that acquires a moving image obtained by imaging a structure; a speed vector detection unit 12 that detects a speed vector indicating a speed and direction of a displacement at a plurality of points of the structure based on the moving image acquired by the moving image acquisition unit 11; and a probability density calculation unit 13 that calculates a probability density for the existence of an instantaneous rotation center according to a position in the structure from the speed vectors of the plurality of points detected by the speed vector detection unit 12.SELECTED DRAWING: Figure 1

Description

The present invention relates to a structure analysis system that analyzes structures.

Conventionally, it has been proposed to identify vibrations at a plurality of locations of a bridge by analyzing an image of the bridge and to grasp the progress of deterioration of the bridge (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2017-20739

However, it is not always possible to appropriately determine the state of the structure, particularly the state of the structure having a movable function, simply by using the vibration at a plurality of places. For example, a bearing in a bridge supports a girder, which is the superstructure of the bridge, in a state where it can be moved and rotated. With respect to such a bearing, the movement and rotation when supporting the girder are not properly considered by simply using vibration, and the state cannot be appropriately determined.

The present invention has been made in view of the above, and an object of the present invention is to provide a structure analysis system capable of appropriately determining the state of a structure such as a bridge.

In order to achieve the above object, the structure analysis system according to the present invention has a moving image acquisition unit that acquires a moving image of an image of the structure and a structure based on the moving image acquired by the moving image acquisition unit. Instantaneous rotation according to the position in the structure from the velocity vector detection unit that detects the velocity vector indicating the velocity and direction of the displacement at multiple locations and the velocity vector at multiple locations detected by the velocity vector detection unit. It is provided with a probability density calculation unit for calculating the probability density at which the center exists.

In the structure analysis system according to the present invention, the probability density that an instantaneous rotation center exists according to the position in the structure is calculated. The probability density represents the movement of the entire structure, and is used to determine the state of the structure in consideration of the movement of the entire structure. Therefore, according to the structure analysis system according to the present invention, it is possible to appropriately determine the state of a structure such as a bridge.

According to the present invention, it is possible to appropriately determine the state of a structure such as a bridge.

It is a figure which shows the structure of the structure analysis system which concerns on embodiment of this invention. It is a figure which shows the probability density distribution of the frame which constitutes a moving image, the velocity vector calculated based on the frame, the vertical bisector, and the instantaneous rotation center (ICR). It is a figure for demonstrating the calculation of the probability density distribution of ICR. It is a figure for demonstrating the determination about the structure by the distance based on the probability density distribution of ICR. It is a figure for demonstrating the determination about a structure by comparison of the probability density distribution of ICR. It is a flowchart which shows the process executed by the structure analysis system which concerns on embodiment of this invention. It is a figure which shows the hardware structure of the structure analysis system which concerns on embodiment of this invention.

Hereinafter, embodiments of the structure analysis system according to the present invention will be described in detail together with the drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate description will be omitted.

FIG. 1 shows the structure analysis system 10 according to the present embodiment. The structure analysis system 10 is a system (device) that performs analysis for determining (evaluating) whether or not the movement of the structure is appropriate. The structure to be analyzed is, for example, a bridge 30 as shown in FIG. Among the portions of the bridge 30, particularly the bearing portions 33 and 34, which are structural members connecting the girder 31 which is the upper structure and the abutment 32 which is the lower structure, are analyzed. Of the two bearings 33 and 34 shown in FIG. 1, one of the bearings 33 is a pin roller (movable bearing), which can be rotationally moved by the pin 33a and horizontally moved by the roller 33b. In many cases, the roller 33b is hidden by a dustproof cover or the like. The other bearing portion 34 is a pin (fixed bearing portion) and can be rotationally moved by the pin 34a. The axial directions of the pins 33a and 34a are provided so as to be perpendicular and horizontal to the length direction of the girder 31 (depth direction in FIG. 1), and the rotation of the support portions 33 and 34 is performed by the pins 33a and 34a. Is used as the axis of rotation. The analysis of the bearing portions 33, 34 by the structure analysis system 10 is performed for each bearing portion 33, 34.

When a load is applied to the bridge 30, such as when a vehicle passes through the bridge 30, the bridge 30 vibrates. The bearings 33 and 34 move in response to the vibration of the bridge 30, but if the bearings 33 and 34 are abnormal (for example, deteriorated), the movements of the bearings 33 and 34 become inappropriate. There is a risk. By determining whether the movement of the structure is appropriate, it is determined whether or not the state of the structure, specifically, the structure has an abnormality (for example, deterioration has occurred). be able to. The result of the determination is used, for example, to determine the reinforcement or repair of the structure.

The structure to be analyzed is not limited to the support portions 33 and 34 of the bridge 30, and may be any structure such as a building. The entire structure to be analyzed or a part of the structure may be a movable mechanism having a movable function such as the support portions 33 and 34 of the bridge 30. Alternatively, the structure to be analyzed or a part of the structure may be an immovable mechanism that does not move originally, that is, does not have a movable function. In the following description, the structure to be analyzed will be described as a support portion 33 which is a pin roller of the bridge 30.

The structure analysis system 10 is realized by a computer such as a server device, for example. Further, the structure analysis system 10 may be realized by a plurality of server devices, that is, a computer system. The structure analysis system 10 has a communication function and can send and receive information to and from other devices.

The structure analysis system 10 analyzes the bearing portion 33 using the moving image captured by the camera 20. The camera 20 is an imaging device that captures an image of the bearing portion 33 to be analyzed and acquires a moving image of the bearing portion 33. The camera 20 is fixedly installed in advance at a position where the support portion 33 can be imaged. More specifically, the camera 20 is installed at a position where the movement of the bearing portion 33, which will be described later, can be captured in a moving image. For example, the camera 20 is installed at a position where the pin 33a of the support portion 33 can be captured from the front, that is, at a position where the rotation axis of rotation by the pin 33a of the support portion 33 coincides with the imaging direction. As the camera 20, a well-known camera capable of taking an image at a resolution that can be used for the analysis of the bearing portion 33 can be used. As shown in FIG. 1, a plurality of cameras 20 may be provided for each of the support portions 33 and 34 to be analyzed.

The structure analysis system 10 and the camera 20 can send and receive information to and from each other via a wired, wireless, or both communication networks. The camera 20 images the bearing portion 33 at a preset frame rate (fps), and transmits the captured moving image to the structure analysis system 10. The camera 20 may be a component of the structure analysis system according to the present invention. That is, in this case, the structure analysis system according to the present invention includes the structure analysis system 10 and the camera 20 shown in FIG. Further, the structure analysis system 10 and the camera 20 may be an integrated device (for example, a smartphone).

As shown in FIG. 1, the structure analysis system 10 is functionally configured to include a moving image acquisition unit 11, a velocity vector detection unit 12, a probability density calculation unit 13, and a determination unit 14. ..

The moving image acquisition unit 11 is a functional unit that acquires a moving image obtained by capturing an image of the bearing portion 33, which is a structure to be analyzed. The moving image acquisition unit 11 receives and acquires a moving image transmitted from the camera 20 and images the bearing unit 33. The analysis of the support portion 33 by the structure analysis system 10 is performed based on the movement (fluctuation, displacement) of the support portion 33. When the structure to be analyzed is a part of the bridge 30 as in the present embodiment, when a vehicle such as an automobile passes over the bridge 30 as described above, the bridge 30 vibrates according to the passage of the vehicle. .. The analysis of the bearing portion 33 is performed based on the movement of the bearing portion 33 due to the vibration. The factor that causes the bridge 30 to vibrate does not necessarily have to be the passage of the vehicle. When the structure to be analyzed is other than a part of the bridge 30, the determination may be made based on the vibration of the structure generated by some factor.

The moving image acquisition unit 11 may acquire only the portion of the received moving image in the set time zone as the moving image used for the analysis. The time zone is, for example, a time zone in which a vehicle passes over the bridge 30 and vibration occurs in the bridge 30. The time zone may be specified by the administrator of the structure analysis system 10 or the like, or may be specified by the structure analysis system 10 based on a conventional technique such as object recognition. The moving image acquisition unit 11 outputs the acquired moving image to the velocity vector detection unit 12.

The velocity vector detection unit 12 detects a velocity vector indicating the velocity and direction of displacement at a plurality of locations of the support portion 33, which is a structure to be analyzed, based on the moving image acquired by the moving image acquisition unit 11 ( It is a functional part to calculate). A plurality of points for detecting the velocity vector are preset as ROI (Region of Interest). As shown in FIG. 2, for example, the plurality of locations for detecting the velocity vector are set in a grid pattern on the portion where the bearing portion 33 of the moving image is shown. FIG. 2 is a frame (image) constituting a moving image, and a plurality of locations where a velocity vector is detected in the frame are locations (positions) that are starting points of the velocity vector. It should be noted that the plurality of locations for detecting the velocity vector do not necessarily have to be set as described above, and may be set at any location where the structure can be appropriately analyzed according to the structure.

Since the camera 20 is fixedly set, the position of the support portion 33 that detects the velocity vector is captured at a substantially specific position in the moving image. The velocity vector detection unit 12 calculates the displacement of the image from the reference image at the above-mentioned plurality of points of each frame (image) constituting the moving image as a displacement amount which is a value indicating the displacement. The reference image is, for example, an image of a time zone when the vehicle is not passing. The amount of displacement is in each of the two-dimensional directions (X direction and Y direction) of the frame. In the structure analysis system 10, for example, the analysis of the bearing portion 33 may be performed in the coordinate system of the frame. However, other coordinate systems may be used.

The displacement amount can be calculated in sub-pixel units by a conventional technique (for example, a block matching method or a digital image correlation method). The velocity vector detection unit 12 detects the velocity vector by taking the difference in the amount of displacement of the above-mentioned plurality of points of each frame from the corresponding points of the previous frame among the continuous frames constituting the moving image. .. By detecting the velocity vector, the velocity vector of each of the above-mentioned plurality of locations of each frame constituting the moving image can be obtained. The velocity vector detection unit 12 outputs information indicating the detected velocity vector to the probability density calculation unit 13.

The probability density calculation unit 13 uses the velocity vectors of a plurality of locations detected by the velocity vector detection unit 12 to determine the instant center of rotation (ICR) according to the position of the support unit 33, which is the structure to be analyzed. ) Is a functional part that calculates the probability density of existence. The probability density calculation unit 13 calculates the vertical bisector of the line segment corresponding to the velocity vector starting from the detection target of the velocity vector, and is based on the intersection of the calculated vertical bisectors. You may calculate the probability density. In FIG. 2, what is shown by the shade of color is the probability density distribution of ICR, which is the probability density that ICR exists according to the position. In FIG. 2, it is shown that the darker the color, the higher the probability density. FIG. 2 shows an example in which the movement of the bearing portion 33 is rotation (the following examples will also be described by taking rotation as an example unless otherwise specified).

The probability density calculation unit 13 calculates the probability density distribution of the ICR as follows for each frame constituting the moving image, for example. The probability density calculation unit 13 inputs information indicating a velocity vector at each location detected for each frame from the velocity vector detection unit 12. As shown in FIG. 3A, the probability density calculation unit 13 calculates the line segment V corresponding to the velocity vector starting from the detection target of each velocity vector. Subsequently, the probability density calculation unit 13 calculates the perpendicular bisector P of the line segment V. The probability density calculation unit 13 calculates the intersection I of a plurality of vertical bisectors P as a candidate point for ICR. As shown in FIG. 3B, the probability density calculation unit 13 calculates the intersection I of all the vertical bisectors P. Subsequently, as shown in FIG. 3C, the probability density calculation unit 13 uses the intersection I (candidate point of ICR) as a sample by a method such as kernel density estimation or point density estimation / linear density estimation, and the probability density distribution D. Is calculated as the probability density distribution of ICR. The kernel is preset and may have a normal distribution or the like. It can be said that the coordinates where the intersection points I are dense are the coordinates suitable for the ICR. Similar to FIG. 2, FIG. 3 (c) shows that the darker the color, the higher the probability density.

The ICR is theoretically calculated at the intersection I of the perpendicular bisector P of the line segment V corresponding to the velocity vector. However, since the velocity vector always includes a measurement error, as shown in FIG. 3B, intersection points I at a plurality of positions are calculated, and these positions are not necessarily accurate ICR positions. Therefore, in the present embodiment, the probability density distribution of ICR is calculated as described above. By using the probability density distribution, it is possible to reduce the influence of the measurement error on the estimation of the ICR. The probability density distribution of the ICR is obtained, for example, as a value of the probability density for each position (specifically, a region dividing the coordinate system) in the coordinate system. The probability density distribution of the ICR may be information in a format other than the above. Further, the probability density distribution of the ICR may be calculated by a method other than the above as long as it is calculated from the velocity vectors for a plurality of locations.

The probability density of the ICR in the bearing portion 33 gathers around the pin 33a if it is rotated by the pin 33a. Further, in the case of translation by the roller 33b, the ICR (corresponding to the above intersection I) at the bearing portion 33 is at infinity.

The probability density calculation unit 13 outputs information indicating the probability density distribution of the ICR calculated for each frame to the determination unit 14. The probability density distribution of the ICR calculated by the probability density calculation unit 13 may be used as the analysis result of the bearing unit 33. In that case, the probability density calculation unit 13 may output the calculated probability density distribution of the ICR as an analysis result of the bearing unit 33. For example, as shown in FIG. 2, the probability density calculation unit 13 may represent the probability density distribution of the ICR in shades of color and superimpose it on a frame of a moving image for display output. That is, the density locus, which is a time-series change in the probability density distribution of the ICR, may be visually understood. The display output may be performed by, for example, a display device included in the structure analysis system 10 or a terminal connected to the structure analysis system 10. By visualizing the probability density distribution of the ICR on the moving image in this way, the technician who confirmed it intuitively determines whether or not the movement of the bearing portion 33, which is a structure, is appropriate. be able to. Note that the probability density calculation unit 13 may output information indicating the probability density distribution of the ICR to a device other than the above, or in a form other than the above.

The determination unit 14 is a functional unit that determines whether the movement of the bearing unit 33, which is the structure to be analyzed, is appropriate based on the probability density calculated by the probability density calculation unit 13. That is, in the structure analysis system 10, it may be determined whether or not the movement of the bearing portion 33 is appropriate based on the probability density distribution of the ICR. The determination unit 14 inputs information indicating the probability density distribution of the ICR for each frame from the probability density calculation unit 13, and makes the above determination using the information.

For example, the determination unit 14 calculates the distance between the position based on the probability density calculated by the probability density calculation unit 13 and the preset ICR in the bearing unit 33, which is the structure to be analyzed, and uses the calculated distance. It may be determined whether the movement of the support portion 33 is appropriate. In this case, as shown in the left frame of FIG. 4, the determination unit 14 stores the position (coordinates) C of the ICR in the preset support unit 33. The position C is a position that should be the center of rotation in terms of design or structural analysis. In the case of rotation of the bearing portion 33, the position C is a position corresponding to the rotation axis of the pin 33a (that is, the center of the pin 33a in the left frame of FIG. 4). The determination unit 14 identifies the position having the highest probability density (that is, the position having the darkest color in the left frame of FIG. 4) from the probability density distribution of the ICR shown in the information input from the probability density calculation unit 13. The determination unit 14 calculates the distance d between the position having the highest probability density and the position C of the ICR in the preset bearing unit 33. The position with the highest probability density is the position to be the ICR, and the closer the position is to the center of rotation in design or structural analysis, the more appropriate the movement of the bearing portion 33 is.

The determination unit 14 calculates the distance d for each frame constituting the moving image. The distance d is a time-series value for each time (frame) as shown in the graph on the right side of FIG. The determination unit 14 calculates the average value A of the distance d for the moving image as the degree of abnormality in the movement of the bearing unit 33. The average value A may be calculated, for example, with respect to a moving image of a time zone with respect to the passage of one vehicle through the bridge 30. That is, the determination may be made based on the passage of one vehicle through the bridge 30. However, the average value A may be calculated for moving images in a time zone other than the above. For example, the average value A may be calculated for the entire moving image of a plurality of time zones (for example, the passage of a plurality of vehicles through the bridge 30 in one day). That is, the determination may be made based on the passage of the vehicle through the bridge 30 on a daily basis.

The determination unit 14 compares the calculated average value A with a preset allowable range (margin of error) in design or structural analysis. When the average value A is larger than the permissible range, the determination unit 14 determines that the movement of the bearing unit 33 is not appropriate. That is, in this case, it is considered that an abnormality has occurred in the bearing portion 33. On the other hand, when the average value A is not larger than the permissible range, the determination unit 14 determines that the movement of the support unit 33 is appropriate. That is, in this case, the bearing portion 33 is considered to be normal (normality has not occurred in the bearing portion 33). In this way, the determination by the determination unit 14 may be performed by comparing the probability density distribution of the ICR calculated by the probability density calculation unit 13 with the design information or the structural analysis result.

Alternatively, the determination unit 14 determines the probability density calculated by the probability density calculation unit 13 and the probability density in which the ICR corresponding to the position in the support unit 33 preset for the support unit 33, which is the structure to be analyzed, exists. May be compared and it may be determined from the comparison result whether or not the movement of the bearing portion 33 is appropriate. In this case, as shown in the left frame of FIG. 5, the determination unit 14 calculates the probability density distribution D1 of the ICR for the moving image from the probability density distribution of the ICR for each frame. For example, the probability density distribution of the ICR for each frame is added for each position (frame coordinates), and the value of the probability density is standardized so that the sum of the probability densities (integral value) is the same as before the addition. The probability density distribution D1 of the ICR for the image is calculated. That is, the locus in which the probability density distribution of the ICR moves for each frame is calculated as the probability density distribution D1 of the ICR. The moving image (time zone) used in this case may also be the case where the distance d is used.

Further, the determination unit 14 stores the probability density distribution D2 of the ICR in the preset support unit 33. The probability density distribution D2 is a probability density distribution that considers only the position to be the ICR and the measurement error in terms of design or structural analysis. For example, when the movement of the bearing portion 33 is rotation by the pin 33a, the probability density distribution D2 is a normal distribution centered on a position that should be the center of rotation in terms of design or structural analysis, as shown on the right side of FIG. And. Alternatively, when the movement of the bearing portion 33 is a translation by the roller 33b, the probability density distribution D2 is a uniform distribution. The closer the probability density distribution D1 based on the probability density distribution of the ICR calculated by the probability density calculation unit 13 is to the probability density distribution D2 based on the rotation center in design or structural analysis, the more appropriate the movement of the bearing unit 33 is. Is.

The determination unit 14 compares these probability density distributions D1 and D2. Specifically, the determination unit 14 calculates divergence (distance between distributions) from these probability density distributions D1 and D2. For example, the determination unit 14 calculates the Kullback-Leibler information amount (KL) as divergence. The calculation of the KL of the two probability density distributions D1 and D2 can be performed by a conventional method. The determination unit 14 compares the calculated KL with a preset threshold value. When the KL is larger than the threshold value, the determination unit 14 determines that the movement of the bearing unit 33 is not appropriate. That is, in this case, it is considered that an abnormality has occurred in the bearing portion 33. On the other hand, when the KL is not larger than the threshold value, the determination unit 14 determines that the movement of the bearing unit 33 is appropriate. That is, in this case, the bearing portion 33 is considered to be normal (normality has not occurred in the bearing portion 33). In this way, the determination by the determination unit 14 may be performed by obtaining divergence from the locus of the probability density distribution of the ICR.

The determination unit 14 outputs information indicating the determination result. The determination result includes whether or not the movement of the support portion 33, which is the structure to be analyzed, is appropriate. Alternatively, the determination result may include whether or not the support portion 33, which is the structure to be analyzed, is normal. The determination unit 14 transmits, for example, the information to a display device included in the structure analysis system 10 or a terminal connected to the structure analysis system 10 to display the information. The output by the determination unit 14 is referred to by the user, for example, and is used for determining reinforcement or repair of the structure as described above. The output by the determination unit 14 may be output to a device other than the above, or may be performed in a form other than the above. The above is the configuration of the structure analysis system 10 according to the present embodiment.

Subsequently, the process executed by the structure analysis system 10 according to the present embodiment (operation method performed by the structure analysis system 10) will be described with reference to the flowchart of FIG. First, the moving image captured by the camera 20 is transmitted from the camera 20 to the structure analysis system 10, and is received and acquired by the moving image acquisition unit 11 (S01). Subsequently, the velocity vector detection unit 12 detects velocity vectors for a plurality of locations of the support portion 33, which is the structure to be analyzed, based on the moving image (S02). Subsequently, the probability density calculation unit 13 calculates the probability density distribution of the ICR in the bearing unit 33, which is the structure to be analyzed, from the velocity vectors for the plurality of locations (S03).

Subsequently, the determination unit 14 determines whether the movement of the bearing unit 33, which is the structure to be analyzed, is appropriate based on the probability density distribution of the ICR (S04). Subsequently, the determination unit 14 outputs information indicating the determination result (S05). When the information is output, the information indicating the probability density distribution of the ICR may also be output. For example, the display may be performed so that the probability density distribution of ICR can be visualized. Alternatively, the determination unit 14 may not perform the determination, and only the information indicating the probability density distribution of the ICR may be output. The above is the process executed by the structure analysis system 10 according to the present embodiment.

As described above, in the present embodiment, the probability density distribution of the ICR in the bearing portion 33, which is the structure to be analyzed, is calculated. The probability density distribution of the ICR represents the movement of the entire bearing portion 33, and is used for determining the state of the bearing portion 33 in consideration of the movement of the entire bearing portion 33. Therefore, according to the present embodiment, it is possible to appropriately determine the state of the structure such as the support portion 33 of the bridge 30. For example, in the conventional visual inspection, the technician only empirically predicts the movement of the mechanism by checking the rust and corrosion on the surface and seeing the cracks in the concrete around the mechanism. I haven't taken into account the movement. In the present embodiment, the determination based on the empirical prediction of the engineer as described above can be quantified.

Further, as in the present embodiment, the probability density distribution of the ICR may be calculated based on the perpendicular bisector of the line segment corresponding to the velocity vector. According to this configuration, the probability density distribution of ICR can be calculated appropriately and reliably, and the embodiment can be reliably implemented. However, the probability density distribution of ICR does not need to be calculated by a method other than the above, and may be calculated based on the velocity vector.

Further, as in the present embodiment, the determination unit 14 based on the probability density distribution of the ICR may perform the determination. According to this configuration, it is possible to reliably and appropriately determine whether the movement of the structure is appropriate. Further, the determination by the determination unit 14 may be performed by, for example, a method using the above-mentioned distance d or a method of comparing the probability density distributions D1 and D2. According to this configuration, it is possible to make a more appropriate and reliable determination. However, the determination by the determination unit 14 does not necessarily have to be performed as described above, and is performed by any method as long as the probability density distribution of the ICR calculated by the probability density calculation unit 13 is used. May be good. At that time, a method of detecting anomalies by statistics, machine learning, or the like may be used. Further, the determination by the determination unit 14 does not necessarily have to be performed, and the structure analysis system 10 may be one in which the probability density distribution of the ICR is calculated by the probability density calculation unit 13.

The block diagram used in the description of the above embodiment shows a block of functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Further, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized by using one physically or logically connected device, or directly or indirectly (for example, two or more physically or logically separated devices). , Wired, wireless, etc.) and may be realized using these plurality of devices. The functional block may be realized by combining the software with the one device or the plurality of devices.

Functions include judgment, decision, judgment, calculation, calculation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, solution, selection, selection, establishment, comparison, assumption, expectation, and assumption. Broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc., but limited to these I can't. For example, a functional block (constituent unit) for functioning transmission is called a transmitting unit or a transmitter. As described above, the method of realizing each of them is not particularly limited.

For example, the structure analysis system 10 in one embodiment of the present disclosure may function as a computer that performs information processing of the present disclosure. FIG. 7 is a diagram showing an example of the hardware configuration of the structure analysis system 10 according to the embodiment of the present disclosure. The structure analysis system 10 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

In the following description, the word "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the structure analysis system 10 may be configured to include one or more of the devices shown in the figure, or may be configured not to include some of the devices.

For each function in the structure analysis system 10, the processor 1001 performs calculations by loading predetermined software (programs) on hardware such as the processor 1001 and the memory 1002, and controls communication by the communication device 1004. It is realized by controlling at least one of reading and writing of data in the memory 1002 and the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic unit, a register, and the like. For example, each function in the structure analysis system 10 described above may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module, data, and the like from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above-described embodiment is used. For example, each function in the structure analysis system 10 may be realized by a control program stored in the memory 1002 and operating in the processor 1001. Although the above-mentioned various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be implemented by one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, or the like that can be executed to perform information processing according to the embodiment of the present disclosure.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, an optical magnetic disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium included in the structure analysis system may be, for example, a database, server or other suitable medium including at least one of the memory 1002 and the storage 1003.

The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like.

The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured by using a single bus, or may be configured by using a different bus for each device.

Further, the structure analysis system 10 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured to include, and a part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented using at least one of these hardware.

The order of the processing procedures, sequences, flowcharts, etc. of each aspect / embodiment described in the present disclosure may be changed as long as there is no contradiction. For example, the methods described in the present disclosure present elements of various steps using exemplary order, and are not limited to the particular order presented.

The input / output information and the like may be stored in a specific location (for example, a memory), or may be managed using a management table. Input / output information and the like can be overwritten, updated, or added. The output information and the like may be deleted. The input information or the like may be transmitted to another device.

The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

Each aspect / embodiment described in the present disclosure may be used alone, in combination, or switched with execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit one, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described in the present disclosure. The present disclosure may be implemented as an amendment or modification without departing from the purpose and scope of the present disclosure, which is determined by the description of the scope of claims. Therefore, the description of the present disclosure is for the purpose of exemplary explanation and does not have any limiting meaning to the present disclosure.

Software, whether referred to as software, firmware, middleware, microcode, hardware description language, or other names, is an instruction, instruction set, code, code segment, program code, program, subprogram, software module. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc. should be broadly interpreted.

Further, software, instructions, information and the like may be transmitted and received via a transmission medium. For example, the software uses at least one of wired technology (coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), etc.) and wireless technology (infrared, microwave, etc.) on the website. When transmitted from a server, or other remote source, at least one of these wired and wireless technologies is included within the definition of transmission medium.

The terms "system" and "network" used in this disclosure are used interchangeably.

In addition, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, relative values from predetermined values, or using other corresponding information. It may be represented.

The terms "determining" and "determining" as used in this disclosure may include a wide variety of actions. "Judgment" and "decision" are, for example, judgment, calculation, computing, processing, deriving, investigating, looking up, search, inquiry. (For example, searching in a table, database or another data structure), ascertaining may be regarded as "judgment" or "decision". Also, "judgment" and "decision" are receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (Accessing) (for example, accessing data in memory) may be regarded as "judgment" or "decision". In addition, "judgment" and "decision" mean that the things such as solving, selecting, choosing, establishing, and comparing are regarded as "judgment" and "decision". Can include. That is, "judgment" and "decision" may include considering some action as "judgment" and "decision". Further, "judgment (decision)" may be read as "assuming", "expecting", "considering" and the like.

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements, and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. For example, "connection" may be read as "access". As used in the present disclosure, the two elements use at least one of one or more wires, cables and printed electrical connections, and, as some non-limiting and non-comprehensive examples, the radio frequency domain. Can be considered to be "connected" or "coupled" to each other using electromagnetic energy having wavelengths in the microwave and light (both visible and invisible) regions.

The phrase "based on" as used in this disclosure does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

Any reference to elements using designations such as "first", "second" as used in this disclosure does not generally limit the quantity or order of those elements. These designations can be used in the present disclosure as a convenient way to distinguish between two or more elements. Thus, references to the first and second elements do not mean that only two elements can be adopted, or that the first element must somehow precede the second element.

When "include", "including" and variations thereof are used in the present disclosure, these terms are as comprehensive as the term "comprising". Is intended. Furthermore, the term "or" used in the present disclosure is intended not to be an exclusive OR.

In the present disclosure, if articles are added by translation, for example a, an and the in English, the disclosure may include the plural nouns following these articles.

In the present disclosure, the term "A and B are different" may mean "A and B are different from each other". The term may mean that "A and B are different from C". Terms such as "separate" and "combined" may be interpreted in the same way as "different".

10 ... structure analysis system, 11 ... moving image acquisition unit, 12 ... velocity vector detection unit, 13 ... probability density calculation unit, 14 ... judgment unit, 20 ... camera, 30 ... bridge, 31 ... girder, 32 ... abutment, 33 , 34 ... Support, 1001 ... Processor, 1002 ... Memory, 1003 ... Storage, 1004 ... Communication device, 1005 ... Input device, 1006 ... Output device, 1007 ... Bus.

Claims (5)

A moving image acquisition unit that acquires a moving image of an image of a structure,
A velocity vector detection unit that detects a velocity vector indicating the velocity and direction of displacement at a plurality of locations of the structure based on the moving image acquired by the moving image acquisition unit.
A probability density calculation unit that calculates the probability density at which an instantaneous rotation center exists according to a position in the structure from velocity vectors for a plurality of locations detected by the velocity vector detection unit.
Structure analysis system. The probability density calculation unit calculates the vertical bisector of the line segment corresponding to the velocity vector starting from the detection target of the velocity vector, and sets the calculated vertical bisector at the intersection of the calculated vertical bisectors. The structure analysis system according to claim 1, wherein the probability density is calculated based on the above. The structure analysis system according to claim 1 or 2, further comprising a determination unit for determining whether or not the movement of the structure is appropriate based on the probability density calculated by the probability density calculation unit. The determination unit calculates the distance between the position based on the probability density calculated by the probability density calculation unit and the preset instantaneous rotation center in the structure, and the movement of the structure is appropriate from the calculated distance. The structure analysis system according to claim 3, wherein the structure analysis system is used to determine whether the structure is the same. The determination unit compares the probability density calculated by the probability density calculation unit with the probability density in which the instantaneous rotation center corresponding to the position in the structure preset for the structure exists, and the comparison result is obtained. The structure analysis system according to claim 3 or 4, wherein it is determined from the above whether the movement of the structure is appropriate.

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