CN112525160A - Crack change monitoring system based on machine vision - Google Patents
Crack change monitoring system based on machine vision Download PDFInfo
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- CN112525160A CN112525160A CN202011425034.7A CN202011425034A CN112525160A CN 112525160 A CN112525160 A CN 112525160A CN 202011425034 A CN202011425034 A CN 202011425034A CN 112525160 A CN112525160 A CN 112525160A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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Abstract
The invention discloses a crack change monitoring system based on machine vision, which is characterized in that: the device comprises a camera module, a single chip microcomputer, an LED lamp, a protection cylinder, a metal two-dimensional code and a server; the camera module and the single chip microcomputer are arranged at the bottom of the protective barrel, the lens faces the barrel opening, and the protective barrel opening is provided with an LED annular light supplement lamp; placing the two metal two-dimensional codes on two sides of the crack, and buckling the metal two-dimensional codes by using a protection cylinder; according to the invention, the industrial camera is controlled by the singlechip to shoot the metal two-dimensional code, and the LED annular light supplement lamp is used for supplementing light, so that a high-quality shot picture can be obtained, and the influences of external stains, rain, snow and the like can be avoided; the single chip transmits the picture to the cloud end in a wired or wireless mode, the server processes the received picture, the crack width is calculated, and data are stored and recorded; the automatic monitoring and early warning of the change condition of the crack are realized, and the automatic monitoring and early warning device has certain significance for the health monitoring of the structure.
Description
Technical Field
The invention relates to a crack change monitoring system based on machine vision, and belongs to the technical field of crack monitoring.
Background
Under the influence of factors such as load effect, uneven settlement of foundation, temperature stress and the like, the building structure can generate cracks, and in order to ensure the safety of the building structure, the crack condition and the development change need to be observed. The traditional crack monitoring needs to use a manual measurement method for measurement and recording, and the measurement uses a crack comprehensive monitor, a crack microscope and the like. The manual monitoring method has large monitoring period interval, consumes a large amount of manpower and time, and has the problems of data reading error of monitoring personnel, error and leakage of recorded information and the like in the measurement process. The trend of industry development is to reduce the human input of crack monitoring, improve the stability and precision of equipment performance, reduce cost, realize automation and the like. The rapid development of network communication technology and machine vision provides technical support for realizing full-automatic monitoring.
Therefore, a system capable of automatically and intelligently monitoring the crack is needed to be developed, so that real-time monitoring and early warning of crack changes are realized. .
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a crack change monitoring system and device based on machine vision, which are used for realizing automatic crack change monitoring, can replace manual crack measurement, and avoid the defects of reading errors, long monitoring period and large manpower requirement in the traditional manual monitoring process.
In order to achieve the purpose, the invention adopts the following technical scheme:
the system is divided into two parts of digital image acquisition and algorithm analysis. The method is characterized in that: the digital image acquisition device is used for controlling the camera module to carry out data acquisition on the metal two-dimensional code through the single chip microcomputer and sending data to the server in a wireless or wired mode. The protection cylinder prevents the single chip microcomputer and the camera module from being influenced by rain, snow and stains, and the light supplement lamp provides a stable light source to ensure that the collected image is clear;
further, the server processes the acquired image data, and calculates the distance change between the two metal two-dimensional codes, so as to determine the crack change;
furthermore, the server records the crack change, and the development change condition of the crack can be further monitored by comparing the crack data in different time periods. And alarming when the crack change exceeds a preset value.
A crack change monitoring system based on machine vision comprises the following implementation steps of:
the method comprises the following steps: pasting a metal two-dimensional code: respectively sticking the two metal two-dimensional codes to two sides of the crack by using AB glue;
step two: installing a data acquisition device: coating the AB glue on an annular brim of the data acquisition device to enable the data acquisition device to buckle the metal two-dimensional code, and fixing the data acquisition device by using an expansion screw;
step three: data acquisition: the single chip microcomputer controls the camera module to acquire data;
step four: data transmission: the single chip microcomputer uploads the acquired image data to a server in a wired or wireless mode;
step five: image data processing: and the server background processes the uploaded picture data. And calculating the distance between the two metal two-dimensional codes, and comparing the recorded data so as to judge the change condition of the crack. When the crack change exceeds a threshold, the server issues an alarm.
The invention has the beneficial effects that:
according to the invention, the camera module is arranged in the protective barrel, and the LED light supplement lamp is used for supplementing light, so that the shooting environment of the camera module is not influenced by external factors such as rain, snow, stains and the like, and high-quality shot pictures are obtained;
the invention transmits the image collected by the camera module to the server through the communication module by the singlechip. The waste of human resources is reduced, and the real-time performance of monitoring data is improved;
the method processes the image through the algorithm, calculates the crack change, enables the data to be visualized and provides an alarm function. Non-professional personnel who make also can judge whether safe through crack data change building structure, can send out the early warning when the crack sharply develops to guarantee people's life and property safety.
Drawings
FIG. 1 is a schematic view of a data acquisition device installation;
FIG. 2 is an oblique view of the data acquisition device;
FIG. 3 is a flow chart of a fracture monitoring system.
Detailed Description
The present invention is further illustrated by the following figures and specific examples, which are to be understood as illustrative only and not as limiting the scope of the invention, which is to be given the full breadth of the appended claims and any and all equivalent modifications thereof which may occur to those skilled in the art upon reading the present specification.
As shown in figure 1, a crack change monitoring system based on machine vision comprises 11 parts including a protection barrel brim (1), an LED lamp (2), a camera module (3), an expansion screw hole (4), a radiating hole, a power outlet (5), a single chip microcomputer (6), a protection barrel (7), a crack plane (A), a metal two-dimensional code (B), a crack (C) and a server (D). The camera module (3) is controlled by the singlechip (6) to carry out data acquisition on the metal two-dimensional code (B), and data are sent to the server in a wireless or wired mode. The protection cylinder (7) enables the singlechip (6) and the camera module (3) to be free from the influence of rain, snow and stains, and the light supplement lamp (2) provides a stable light source to ensure that the collected image is clear.
Further, the server (D) processes the acquired image data, calculates the distance change between the two metal two-dimensional codes (B), and measures the crack change.
Furthermore, the server (D) records the crack change, and the development change condition of the crack (C) can be further monitored by comparing the data of the crack (C) in different time periods. And alarming when the crack change exceeds a preset value.
As shown in fig. 1 and 3, a crack change monitoring system method based on machine vision has the technical scheme and flow as follows:
the method comprises the following steps: pasting a metal two-dimensional code: and (3) respectively sticking the two metal two-dimensional codes (B) to the two sides of the crack (C) by using AB glue.
Step two: installing a data acquisition device: and (3) smearing the AB glue on an annular brim (1) of the data acquisition device to enable the data acquisition device to buckle the metal two-dimensional code (B), and the data acquisition device can also be fixed by using expansion screws.
Step three: data acquisition: the singlechip (6) controls the camera module (3) to acquire image data.
Step four: data transmission: the single chip microcomputer (6) uploads the acquired image data to the server (D) in a wired or wireless mode.
Step five: image data processing: and the background of the server (D) processes the uploaded picture data. And (3) calculating the distance between the two metal two-dimensional codes (B), and comparing the recorded data so as to judge the change condition of the crack (C). When the crack variation exceeds a threshold, the server (D) issues an alarm.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. The utility model provides a crack changes monitoring system based on machine vision, includes protection section of thick bamboo brim of a hat (1), LED lamp (2), camera module (3), inflation screw hole (4), louvre and power outlet (5), singlechip (6), protection section of thick bamboo (7), crack place plane (A), metal two-dimensional code (B), crack (C) and server (D) 11 parts altogether constitute its characterized in that:
the two metal two-dimension codes (B) are symmetrically adhered to two sides of the crack (C) respectively and are completely adhered to the plane (A) where the crack is located; the protection cylinder brim (1) completely covers the metal two-dimensional code (B) by using an AB glue or an expansion screw; the LED light supplement lamp (2) is arranged in the center of the inner wall of the protection cylinder (7); the camera module (3) is arranged at the center of the bottom of the protective cylinder (7); 3 expansion screw holes (4) with the same diameter and size are uniformly distributed on the protective barrel brim (1); heat dissipation holes and power supply holes (5) are reserved in the bottom of the protection cylinder (7); the single chip microcomputer (6) can control the camera module (3) to acquire image data of the crack (C) and the metal two-dimensional code (B), the image data are transmitted to the server (D) through the communication module, the server (D) conducts algorithm processing on the image, the change of the distance between the two-dimensional codes (B) is calculated, the crack width change is determined, the data are further visualized, and early warning is given out when the crack width change exceeds a threshold value.
2. The machine-vision-based fracture-variation monitoring system of claim 1, wherein: the fixing mode of the protective cylinder (7) and the crack (C) is as follows: the protective barrel brim (1) is fixed by AB glue or fixed by expansion screws through expansion screw holes (4) reserved on the protective barrel brim (1), and when the protective barrel brim is fixed by the expansion screws, the expansion screws can only be arranged on one side of the crack (C).
3. The machine-vision-based fracture-change monitoring system of claim 1, wherein: LED light filling lamp (2) pass through the screw fixation in the central position department of a protection section of thick bamboo (7) inner wall, mainly used camera module (3) daylighting when carrying out image data collection to open LED light filling lamp (2) before carrying out image data collection and preheat, prevent camera module (3) camera lens fog, disturb the shooting.
4. The machine-vision-based fracture-variation monitoring system of claim 1, wherein: the bottom of the camera module (3) is connected with the bottom of the protection barrel (7) through a screw and is fixed at the central position of the bottom of the protection barrel (7), and the lens is aligned to the center of the opening of the protection barrel (7), so that accurate collection of image data of a crack (C) and a metal two-dimensional code (B) is ensured, and the quality of image data collection is not influenced.
5. The machine-vision-based fracture-variation monitoring system of claim 1, wherein: in the heat dissipation hole and the power supply hole (5), the heat dissipation hole part is composed of round holes with the same aperture size, the power supply hole part is composed of a round hole with the aperture larger than that of the heat dissipation hole and is distributed in the center of the heat dissipation hole, and the heat dissipation hole and the power supply hole (5) are integrally distributed on the edge of the outer wall of the barrel bottom of the protection barrel (7) and are mainly used for heat dissipation inside the protection barrel (7) and power supply flat cables of the LED light supplement lamp (2) and the single chip microcomputer (6).
6. The machine-vision-based fracture-change monitoring system of claim 1, wherein:
the single chip microcomputer (6) is fixed at the bottom of the protective cylinder (7) through screws and is next to the camera module (3), and the single chip microcomputer is mainly used for transmitting image data of the crack (C) and the metal two-dimensional code (B) shot by the camera module (3) to the server (D).
7. The machine-vision-based fracture-change monitoring system of claim 1, wherein: the server (D) is mainly composed of a background machine vision algorithm and starts to process the image data after receiving the image data transmitted by the singlechip (6); if the image data is normal, the server (D) saves the data to provide query service for the user, and if the image data is abnormal, the server (D) sends an alarm and feeds back the abnormal information of the image data to the user.
8. A machine vision based fracture variation monitoring system method according to any of claims 1-7, wherein: the method comprises the following steps:
the method comprises the following steps: pasting a metal two-dimensional code (B): symmetrically sticking two metal two-dimensional codes (B) on two sides of the crack (C) by using AB glue;
step two: installing a data acquisition device: in the first method, AB glue is coated on the annular brim (1) of the protection cylinder to enable the protection cylinder (7) to cover the metal two-dimensional code (B), and in the second method, an expansion screw is used to enable the protection cylinder (7) to cover the metal two-dimensional code (B);
step three: data acquisition: the singlechip (6) controls the camera module (3) to acquire image data of the crack (C);
step four: data transmission: the single chip microcomputer (6) uploads the acquired image data to the server (D) in a wired or wireless mode;
step five: image data processing: and the server (D) processes the uploaded picture data, calculates the distance between the two metal two-dimensional codes (B), compares the recorded data, judges the change condition of the crack (C), and gives an alarm when the change of the crack exceeds a threshold value.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011425034.7A CN112525160A (en) | 2020-12-09 | 2020-12-09 | Crack change monitoring system based on machine vision |
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| CN202011425034.7A CN112525160A (en) | 2020-12-09 | 2020-12-09 | Crack change monitoring system based on machine vision |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113744182A (en) * | 2021-07-27 | 2021-12-03 | 宁波市水库管理中心 | Method for monitoring change state of complex crack based on two-dimensional code positioning technology |
| CN114136769A (en) * | 2021-12-14 | 2022-03-04 | 上海悍马建筑科技有限公司 | Carbon fiber plate capable of strain detection based on image processing and use method |
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| CN107063095A (en) * | 2016-12-23 | 2017-08-18 | 张晓明 | A kind of warning system for real time monitoring of existing building building structure fracture width change and recognition methods |
| CN109341542A (en) * | 2018-10-29 | 2019-02-15 | 福建省智能养护工程有限公司 | Method and its monitoring device based on digital signal sequences length identification fracture width |
| CN110675367A (en) * | 2019-08-30 | 2020-01-10 | 南京理工大学 | Method for identifying crack width based on machine vision calibration two-dimensional code |
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2020
- 2020-12-09 CN CN202011425034.7A patent/CN112525160A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107063095A (en) * | 2016-12-23 | 2017-08-18 | 张晓明 | A kind of warning system for real time monitoring of existing building building structure fracture width change and recognition methods |
| CN109341542A (en) * | 2018-10-29 | 2019-02-15 | 福建省智能养护工程有限公司 | Method and its monitoring device based on digital signal sequences length identification fracture width |
| CN110675367A (en) * | 2019-08-30 | 2020-01-10 | 南京理工大学 | Method for identifying crack width based on machine vision calibration two-dimensional code |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113744182A (en) * | 2021-07-27 | 2021-12-03 | 宁波市水库管理中心 | Method for monitoring change state of complex crack based on two-dimensional code positioning technology |
| CN113744182B (en) * | 2021-07-27 | 2023-11-03 | 宁波市水库管理中心 | Method for monitoring complex crack change state based on two-dimensional code positioning technology |
| CN114136769A (en) * | 2021-12-14 | 2022-03-04 | 上海悍马建筑科技有限公司 | Carbon fiber plate capable of strain detection based on image processing and use method |
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Application publication date: 20210319 |