WO2021106189A1 - Dispositif de mesure de fissure, système de mesure de fissure, procédé de mesure de fissure et programme de mesure de fissure - Google Patents

Dispositif de mesure de fissure, système de mesure de fissure, procédé de mesure de fissure et programme de mesure de fissure Download PDF

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Publication number
WO2021106189A1
WO2021106189A1 PCT/JP2019/046765 JP2019046765W WO2021106189A1 WO 2021106189 A1 WO2021106189 A1 WO 2021106189A1 JP 2019046765 W JP2019046765 W JP 2019046765W WO 2021106189 A1 WO2021106189 A1 WO 2021106189A1
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WO
WIPO (PCT)
Prior art keywords
crack
length
image
pixels corresponding
width
Prior art date
Application number
PCT/JP2019/046765
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English (en)
Japanese (ja)
Inventor
達将 樺澤
健聖 鈴木
パスカル デビッド バヤシ
小林　浩
力矢 相澤
裕典 田生
英彰 小尾
泰光 武田
Original Assignee
株式会社Ｒｉｓｔ
東急リバブル株式会社
ジャパンホームシールド株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 株式会社Ｒｉｓｔ, 東急リバブル株式会社, ジャパンホームシールド株式会社 filed Critical 株式会社Ｒｉｓｔ
Priority to PCT/JP2019/046765 priority Critical patent/WO2021106189A1/fr
Publication of WO2021106189A1 publication Critical patent/WO2021106189A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination

Definitions

  • the present invention relates to a crack measuring device, a crack measuring system, a crack measuring method, and a crack measuring program.
  • an inspector may measure the degree of damage in order to evaluate whether or not the damage is acceptable.
  • Patent Document 1 a reference image for specifying a photographing surface is projected on the evaluation target surface, and a photographed image of the evaluation target surface including the reference image is acquired.
  • a surface evaluation method for calculating the resolution of pixels included in a captured image based on the arrangement of a reference image included in the captured image and evaluating the surface state of the surface to be evaluated is described.
  • the present invention provides a crack measuring device, a crack measuring system, a crack measuring method, and a crack measuring program that can more easily measure the crack width appropriately.
  • the crack measuring device calculates the number of pixels corresponding to the width of the crack included in the image and the acquisition unit that acquires the image of the building to which the label as a reference for the length is given. Based on the first calculation unit, the second calculation unit that calculates the number of pixels corresponding to the length reference represented by the marker included in the image, and the number of pixels corresponding to the length reference, the crack It includes a conversion unit that converts the number of pixels corresponding to the width into a unit of length.
  • the number of pixels corresponding to the reference of the width and the length of the crack is calculated respectively, and the number of pixels is converted into the unit of length to reduce the variation due to the skill of the inspector. Appropriate crack width can be measured.
  • the marker may include at least two feature points and the distance between the two feature points may be a measure of length.
  • the length standard can be calculated by extracting the feature points from the image.
  • the sign includes at least two two-dimensional codes, and a predetermined portion of the two-dimensional code may be a feature point.
  • the length standard can be calculated more easily by using the library related to the two-dimensional code.
  • the first calculation unit may binarize the image so that the cracks can be identified, and calculate the number of pixels corresponding to the width of the cracks included in the binarized image.
  • the number of pixels corresponding to the width of the crack can be calculated more accurately.
  • the crack measurement system is a crack measurement system including a user terminal having a camera and a crack measurement device capable of communicating with the user terminal, and the crack measurement device is photographed by the camera.
  • An acquisition unit that acquires an image of a building labeled with a length reference from a user terminal, a first calculation unit that calculates the number of pixels corresponding to the width of a crack included in the image, and an image.
  • the second calculation unit that calculates the number of pixels corresponding to the length reference represented by the included label and the number of pixels corresponding to the length reference, the number of pixels corresponding to the width of the crack is calculated.
  • a conversion unit that converts into a unit of length, and a transmission unit that transmits the width of the crack expressed in the unit of length to the user terminal.
  • the number of pixels corresponding to the reference of the width and the length of the crack is calculated respectively, and the number of pixels is converted into the unit of length to reduce the variation due to the skill of the inspector. Appropriate crack width can be measured.
  • an image of a building to which a label as a reference for length is given is acquired by a calculation unit included in the crack measurement device, and the width of the crack included in the image is obtained. Based on calculating the number of pixels corresponding to, calculating the number of pixels corresponding to the length reference represented by the marker included in the image, and calculating the number of pixels corresponding to the length reference. , Converting the number of pixels corresponding to the width of the crack into units of length, and performing.
  • the number of pixels corresponding to the reference of the width and the length of the crack is calculated respectively, and the number of pixels is converted into the unit of length to reduce the variation due to the skill of the inspector. Appropriate crack width can be measured.
  • the calculation unit included in the crack measurement device is used as an acquisition unit for acquiring an image of a building labeled as a length reference, and a crack width included in the image.
  • the first calculation unit that calculates the number of pixels corresponding to the second calculation unit that calculates the number of pixels corresponding to the length reference represented by the marker included in the image, and the pixel corresponding to the length reference. Based on the number of, the number of pixels corresponding to the width of the crack is converted into a unit of length to function as a conversion unit.
  • the number of pixels corresponding to the reference of the width and the length of the crack is calculated respectively, and the number of pixels is converted into the unit of length to reduce the variation due to the skill of the inspector. Appropriate crack width can be measured.
  • FIG. 1 is a diagram showing a network configuration of the crack measurement system 100 according to the embodiment of the present invention.
  • the crack measurement system 100 includes a crack measurement device 10 and a user terminal 20, and the crack measurement device 10 and the user terminal 20 are configured to be communicable via a communication network N such as the Internet.
  • the communication network N is a wired or wireless communication network.
  • the user terminal 20 has a built-in or external camera.
  • the user terminal 20 may be composed of a general-purpose computer, for example, a smartphone or a tablet terminal.
  • the user attaches a sign described later to the building, and takes a picture of the building with the sign by the camera of the user terminal 20.
  • the captured image is transmitted to the crack measuring device 10 via the communication network N.
  • the crack measuring device 10 may be composed of a general-purpose computer, for example, a desktop computer or a laptop computer.
  • the crack measuring device 10 acquires an image from the user terminal 20, recognizes the sign and the crack as an image, and calculates the width of the crack.
  • the calculated crack width is transmitted from the crack measuring device 10 to the user terminal 20.
  • FIG. 2 is a diagram showing a functional block of the crack measuring device 10 according to the present embodiment.
  • the crack measuring device 10 includes an acquisition unit 11, a first calculation unit 12, a second calculation unit 13, a conversion unit 14, and a transmission unit 15.
  • the acquisition unit 11 acquires an image of a building with a sign that serves as a reference for the length.
  • the acquisition unit 11 may acquire the image from the user terminal 20, but may acquire the image from another computer or database.
  • the first calculation unit 12 calculates the number of pixels corresponding to the width of the crack included in the image.
  • the first calculation unit 12 may search for the maximum width of cracks included in the image and calculate the number of pixels corresponding to the maximum width.
  • the first calculation unit 12 may binarize the image so that the cracks can be identified, and calculate the number of pixels corresponding to the width of the cracks included in the binarized image.
  • the first calculation unit 12 corresponds to the width of the crack by, for example, converting the crack portion of the image into white and the portion of the image other than the crack into black and white binarization and calculating the maximum width of the white pixel.
  • the number of pixels to be used may be calculated. In this way, the number of pixels corresponding to the width of the crack can be calculated more accurately.
  • the first calculation unit 12 may calculate the number of pixels corresponding to the width of the crack included in the image by using the trained neural network. In that case, using a learning image in which the number of pixels corresponding to the width of the crack is known, supervised learning of the neural network is performed so as to calculate the number of pixels corresponding to the width of the crack, and the learning has been completed. You may generate a neural network of.
  • the second calculation unit 13 calculates the number of pixels corresponding to the reference of the length represented by the sign included in the image.
  • the sign may be a sticker affixed to the surface of the building, but may be transferred or projected onto the surface of the building.
  • the sign contains at least two feature points and the distance between the two feature points may be the measure of length.
  • the feature point may be a geometric feature point such as an intersection of edges, or a feature point representing a code such as a two-dimensional code. In this way, by using the distance between the feature points as the reference for the length, the reference for the length can be calculated by extracting the feature points from the image.
  • the sign includes at least two two-dimensional codes, and a predetermined part of the two-dimensional code may be a feature point.
  • the marker may include, for example, two two-dimensional codes, the center of the two-dimensional code as a feature point, and the distance between the centers of the two-dimensional codes as a measure of length.
  • the conversion unit 14 converts the number of pixels corresponding to the width of the crack into a unit of length based on the number of pixels corresponding to the standard of length.
  • the conversion unit 14 sets the number of pixels PX2 corresponding to the width of the crack to L ⁇ 2. Converted to a unit of length (meters in this example) by PX2 / PX1 meters.
  • the skill of the inspector is obtained by calculating the number of pixels corresponding to the reference of the width and the length of the crack and converting the number of pixels into the unit of length. It is possible to measure an appropriate crack width by reducing the variation due to the above.
  • the transmission unit 15 transmits the width of the crack expressed in units of length to the user terminal 20.
  • the transmission unit 15 may transmit the width of the crack expressed in units of length to another device. Further, the transmission unit 15 may transmit an error message to the user terminal 20 when any of the processes of the first calculation unit 12, the second calculation unit 13, and the conversion unit 14 fails. In that case, depending on the cause of the error, a guide for retrieving the image may be transmitted to the user terminal 20.
  • FIG. 3 is a diagram showing a physical configuration of the crack measuring device 10 according to the present embodiment.
  • the crack measuring device 10 includes a CPU (Central Processing Unit) 10a corresponding to a calculation unit, a RAM (Random Access Memory) 10b corresponding to a storage unit, a ROM (Read only Memory) 10c corresponding to a storage unit, and a communication unit. It has 10d, an input unit 10e, and a display unit 10f. Each of these configurations is connected to each other via a bus so that data can be transmitted and received.
  • the crack measuring device 10 is composed of one computer will be described, but the crack measuring device 10 may be realized by combining a plurality of computers.
  • the configuration shown in FIG. 3 is an example, and the crack measuring device 10 may have a configuration other than these, or may not have a part of these configurations.
  • the CPU 10a is a control unit that controls execution of a program stored in the RAM 10b or ROM 10c, calculates data, and processes data.
  • the CPU 10a is a calculation unit that executes a program (crack measurement program) for measuring the width of cracks occurring in a building.
  • the CPU 10a receives various data from the input unit 10e and the communication unit 10d, displays the calculation result of the data on the display unit 10f, and stores the data in the RAM 10b.
  • the RAM 10b is a storage unit in which data can be rewritten, and may be composed of, for example, a semiconductor storage element.
  • the RAM 10b may store data such as a program executed by the CPU 10a and an image of a building. It should be noted that these are examples, and data other than these may be stored in the RAM 10b, or a part of these may not be stored.
  • the ROM 10c is a storage unit capable of reading data, and may be composed of, for example, a semiconductor storage element.
  • the ROM 10c may store, for example, a crack measurement program or data that is not rewritten.
  • the communication unit 10d is an interface for connecting the crack measuring device 10 to another device.
  • the communication unit 10d may be connected to a communication network N such as the Internet.
  • the input unit 10e receives data input from the user, and may include, for example, a keyboard and a touch panel.
  • the display unit 10f visually displays the calculation result by the CPU 10a, and may be configured by, for example, an LCD (Liquid Crystal Display).
  • the display unit 10f may display an image of the building or display the calculated crack width.
  • the crack measurement program may be stored in a storage medium readable by a computer such as RAM 10b or ROM 10c and provided, or may be provided via a communication network connected by the communication unit 10d.
  • the CPU 10a executes the crack measuring program to realize various operations described with reference to FIG. It should be noted that these physical configurations are examples and do not necessarily have to be independent configurations.
  • the crack measuring device 10 may include an LSI (Large-Scale Integration) in which the CPU 10a and the RAM 10b or ROM 10c are integrated.
  • FIG. 4 is a diagram showing an image acquired by the crack measuring device 10 according to the present embodiment.
  • an image IMG1 taken by the user terminal 20 and acquired by the crack measuring device 10 and a binarized image IMG2 are shown.
  • Image IMG1 is an image of the wall surface of a building, and a sticker LA, which is a sign indicating the length, is affixed to the wall surface.
  • the wall surface of the building is cracked, and the image IMG1 is photographed so as to include the crack and the sticker LA.
  • the crack measuring device 10 calculates the number PX1 of pixels corresponding to the reference of the length represented by the label LA included in the image.
  • the label LA includes two two-dimensional codes, and the standard of length is the distance between the centers of the two two-dimensional codes.
  • the crack measuring device 10 calculates the number of pixels PX2 corresponding to the width of the crack based on the binarized image IMG2.
  • the crack measuring device 10 may input the binarized image IMG2 into the trained neural network to calculate the number of pixels PX2 corresponding to the width of the crack.
  • the crack measuring device 10 calculates the width of the crack by L ⁇ PX2 / PX1 meter when the standard length is L meter.
  • the standard of length can be easily calculated by utilizing the library related to the two-dimensional code.
  • FIG. 5 is a flowchart of a crack measurement process executed by the crack measurement device 10 according to the present embodiment.
  • the crack measuring device 10 acquires an image of the labeled building from, for example, the user terminal 20 (S10).
  • the crack measuring device 10 calculates the number of pixels corresponding to the width of the crack (S11), and calculates the number of pixels corresponding to the reference of the length indicated by the label (S12).
  • the crack measuring device 10 converts the number of pixels corresponding to the width of the crack into a unit of length based on the number of pixels corresponding to the reference of the length (S13).
  • the crack measuring device 10 transmits the width of the crack expressed in units of length to the user terminal 20 (S14). With the above, the crack measurement process is completed.
  • 10 ... device 10a ... CPU, 10b ... RAM, 10c ... ROM, 10d ... communication unit, 10e ... input unit, 10f ... display unit, 11 ... acquisition unit, 12 ... first calculation unit, 13 ... second calculation unit, 14 ... Conversion unit, 15 ... Transmission unit, 20 ... User terminal, 21 ... Camera, 100 ... Crack measurement system

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  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

L'invention concerne un dispositif de mesure de fissure et ainsi de suite permettant une mesure appropriée des largeurs d'une fissure plus facilement. Un dispositif de mesure de fissure 10 comprend : une unité d'acquisition 11 qui acquiert des images d'un bâtiment, à laquelle un indicateur servant de référence de longueur a été donné ; une première unité de calcul 12 qui calcule un comptage de pixels équivalents à la largeur d'une fissure incluse dans une image ; une seconde unité de calcul 13 qui calcule un comptage de pixels équivalents à la référence de longueur représentée par l'indicateur inclus dans l'image ; et une unité de conversion 14 qui convertit le comptage de pixels équivalents à la largeur de la fissure en une unité de longueur sur la base du comptage de pixels équivalents à la référence de longueur.
PCT/JP2019/046765 2019-11-29 2019-11-29 Dispositif de mesure de fissure, système de mesure de fissure, procédé de mesure de fissure et programme de mesure de fissure WO2021106189A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113959387A (zh) * 2021-11-24 2022-01-21 威海华菱光电股份有限公司 裂缝测量装置
CN114897892A (zh) * 2022-07-12 2022-08-12 聊城大学 一种pc构件表观裂缝及孔洞特征参数的计算方法

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JP2006162477A (ja) * 2004-12-08 2006-06-22 Ohbayashi Corp 構造物表面のひび割れ検出方法
JP2016505280A (ja) * 2012-10-12 2016-02-25 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 患者の顔面データにアクセスするためのシステム
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Publication number Priority date Publication date Assignee Title
CN113959387A (zh) * 2021-11-24 2022-01-21 威海华菱光电股份有限公司 裂缝测量装置
CN114897892A (zh) * 2022-07-12 2022-08-12 聊城大学 一种pc构件表观裂缝及孔洞特征参数的计算方法
CN114897892B (zh) * 2022-07-12 2023-04-07 聊城大学 一种pc构件表观裂缝及孔洞特征参数的计算方法

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