CN116124792A - Automatic bridge crack detection method - Google Patents
Automatic bridge crack detection method Download PDFInfo
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- CN116124792A CN116124792A CN202310186000.4A CN202310186000A CN116124792A CN 116124792 A CN116124792 A CN 116124792A CN 202310186000 A CN202310186000 A CN 202310186000A CN 116124792 A CN116124792 A CN 116124792A
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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
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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Abstract
The invention provides an automatic bridge crack detection method, and relates to the field of bridge crack detection. The automatic bridge crack detection method comprises the following steps: s1, firstly, distributing and fixing three mounting frames a, b and c on two sides of the upper surface of a bridge body, S2, mounting cameras 1 in the middle of the lower surfaces of the mounting frames a and c, respectively mounting cameras 2 and S3 on two sides of the lower surface, uniformly fixing three cameras 3 and S4 on the lower surface of the mounting frame b, uniformly mounting a plurality of tension sensing plates on the upper parts of the outer walls of the two sides of the bridge body, and mounting a wireless signal transceiver 1 on the outer parts of the tension sensing plates. The invention adopts two different monitoring means to realize automatic detection work on the bridge cracks, avoids the detection of whether the bridge cracks by the human eyes of the staff, brings convenience for the staff to detect the bridge cracks, and has high automation degree, accurate and remarkable detection effect and strong practicality.
Description
Technical Field
The invention relates to the field of bridge crack detection, in particular to an automatic bridge crack detection method.
Background
Along with the high-speed development of economy in China, bridges are spread in a plurality of areas in China, the bridges are generally erected on rivers, lakes and seas, people can walk conveniently or vehicles can walk on the buildings, the bridges in China still take reinforced concrete structures as the main materials at present, the reinforced concrete structures are composite materials, the reinforced concrete structures are formed by bonding coarse and fine aggregates and cement, bonding surfaces are relatively fragile to the aggregates, defects of bonding surfaces are necessarily caused, the defects are easy to crack under the action of the running load of the bridge at the later stage, and the cracks are easy to develop rapidly after the cracking due to the running load of the bridge, so that the cracks become cracks visible to naked eyes at the later stage of people.
However, the traditional bridge crack detection method mostly needs technicians to detect in the field, the efficiency of the method is too low, time and labor are wasted, the measurement accuracy is easily affected by subjective factors, more importantly, the positions of a plurality of cracks are often inconvenient for the technicians to detect in the field and are inconvenient for the technicians to search in time, and therefore technical improvement is urgently needed.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an automatic bridge crack detection method, which solves the problems that the traditional bridge crack detection method is mostly too dependent on field detection of technicians, the detection efficiency is too low, time and labor are wasted, and the measurement accuracy is easily influenced by subjective factors.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the automatic bridge crack detection method comprises the following steps:
s1, firstly, distributing and fixing three installation frames a, b and c on two sides of the upper surface of a bridge body;
s2, installing cameras 1 in the middle of the lower surfaces of the installation frame a and the installation frame c, and installing cameras 2 on two sides of the lower surface respectively;
s3, uniformly fixing three cameras 3 on the lower surface of the mounting frame b;
s4, at the moment, uniformly mounting a plurality of tension sensing plates on the upper parts of the outer walls of the two sides of the bridge body respectively, and mounting the wireless signal transceiver 1 outside the tension sensing plates;
s5, finally, bridge body picture information recorded by the camera 1, the camera 2 and the camera 3 is converted into gray value data through a monitoring main cabinet arranged on the bank, the gray value data are analyzed and compared, and when the gray value exceeds the early warning, the gray value data are timely fed back to maintenance rescue workers through a picture gray value early warning module, so that the purpose of remediation is achieved;
s6, tension data sent by the wireless signal transceiver 1 are collected through the monitoring total cabinet, the tension value calculation module is used for calculating the measured tension value, and when the tension value exceeds the early warning, the tension value early warning module timely feeds back the tension value to maintenance rescue workers, so that the purpose of reducing the damage degree of the bridge body is achieved.
Preferably, the monitoring switchboard comprises a picture gray value conversion processing module, and bridge picture information recorded by the camera 1, the camera 2 and the camera 3 is converted into gray value data through the picture gray value conversion processing module, so that analysis and processing of pictures are facilitated.
Preferably, the monitoring switchboard comprises a picture gray value definition selecting module, and the most clear picture in the pictures is selected through the picture gray value definition selecting module, so that the accuracy of picture analysis processing is improved.
Preferably, the monitoring switchboard comprises an abnormal picture gray value feature storage module and a picture gray value feature comparison module, the selected pictures can be subjected to feature comparison through the picture gray value feature comparison module, when the similarity between the features in the selected pictures and the picture data in the abnormal picture gray value feature storage module is higher, the pictures are represented to be abnormal, and then the picture gray value early warning module sends safety early warning to staff.
Preferably, the monitoring switchboard comprises a wireless signal transceiver 2, and tension data sent by the wireless signal transceiver 1 are collected through the wireless signal transceiver 2.
Preferably, the monitoring switchboard comprises a tension value calculation module, the tension value calculation module is used for calculating the measured tension in real time and analyzing whether the measured tension value exceeds a specified value in a period of time, when the measured tension value exceeds the specified value in a certain period of time, an alarm is sent to a tension value early warning module, and then a worker arrives at the bridge body to carry out timely overhaul work through a maintenance and rescue remote notification module.
Preferably, the tension value calculating module specifically includes:
α×t≥β；
where α is the tension detected in the tension sensor plate, t is the traction time of the traction force, and β is the tension specified value.
(III) beneficial effects
The invention provides an automatic bridge crack detection method. The beneficial effects are as follows:
1. the invention provides an automatic bridge crack detection method, which converts bridge picture information recorded by a camera 1, a camera 2 and a camera 3 into gray value data through a monitoring main cabinet arranged on the bank, analyzes and compares the gray value data, selects the clearest picture in the pictures through a picture gray value definition selecting module, further improves the precision of picture analysis processing, simultaneously can perform characteristic comparison on the selected pictures through a picture gray value characteristic comparing module, and represents that the picture is abnormal when the similarity of the characteristics in the selected picture and the picture data in an abnormal picture gray value characteristic storing module is higher, so that a picture gray value early warning module sends safety early warning to staff, and further achieves the aim of timely repairing bridge cracks.
2. The invention provides an automatic bridge crack detection method, which calculates a measured tension value through a tension value calculation module, and feeds back the tension value to maintenance rescue workers in time through a tension value early warning module when the tension value exceeds an early warning, so as to achieve the purpose of reducing the damage degree of a bridge body.
Drawings
FIG. 1 is a schematic diagram of a bridge structure according to the present invention;
FIG. 2 is a flow chart of an automatic bridge crack detection method according to the present invention;
FIG. 3 is a flow chart of a total monitoring cabinet system according to the present invention;
fig. 4 shows the mounting distribution diagram of the camera 1 and the camera 3 according to the invention;
fig. 5 shows the mounting profiles of the camera 2 and the camera 3 according to the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
as shown in fig. 1-5, an embodiment of the present invention provides a method for automatically detecting a bridge crack, including the following steps:
s1, firstly, distributing and fixing three installation frames a, b and c on two sides of the upper surface of a bridge body;
s2, installing cameras 1 in the middle of the lower surfaces of the installation frame a and the installation frame c, and installing cameras 2 on two sides of the lower surface respectively;
s3, uniformly fixing three cameras 3 on the lower surface of the mounting frame b;
s4, at the moment, uniformly mounting a plurality of tension sensing plates on the upper parts of the outer walls of the two sides of the bridge body respectively, and mounting the wireless signal transceiver 1 outside the tension sensing plates;
s5, finally, bridge body picture information recorded by the camera 1, the camera 2 and the camera 3 is converted into gray value data through a monitoring main cabinet arranged on the bank, the gray value data are analyzed and compared, and when the gray value exceeds the early warning, the gray value data are timely fed back to maintenance rescue workers through a picture gray value early warning module, so that the purpose of remediation is achieved;
s6, tension data sent by the wireless signal transceiver 1 are collected through the monitoring total cabinet, the tension value calculation module is used for calculating the measured tension value, and when the tension value exceeds the early warning, the tension value early warning module timely feeds back the tension value to maintenance rescue workers, so that the purpose of reducing the damage degree of the bridge body is achieved.
The monitoring switchboard comprises a picture gray value conversion processing module, the picture gray value conversion processing module converts bridge body picture information recorded by the camera 1, the camera 2 and the camera 3 into gray value data, and further analysis processing is convenient to conduct on pictures, the monitoring switchboard comprises a picture gray value definition selecting module, the most clear picture in the pictures is selected through the picture gray value definition selecting module, and further accuracy in picture analysis processing is improved, the monitoring switchboard comprises an abnormal picture gray value feature storage module and a picture gray value feature comparison module, the selected pictures can be subjected to feature comparison through the picture gray value feature comparison module, when the similarity of the picture data in the selected picture and the picture data in the abnormal picture gray value feature storage module is high, the picture is represented to be abnormal, and then the picture gray value early warning module sends safety early warning to staff, the monitoring switchboard comprises a wireless signal transceiver 2, tension data sent by the wireless signal transceiver 1 are collected, the monitoring switchboard comprises a tension value calculation module, the tension value calculation module calculates the measured tension value and sends out a bridge body alarm in a certain time when the tension value calculated by the tension value calculation module exceeds a specified value, and the bridge body alarm is sent out in time when the bridge body alarm value is calculated and the bridge body alarm value exceeds a specified time, and the bridge body alarm is sent out in time when the bridge body alarm value is calculated and the bridge body alarm value exceeds a certain time, and the bridge body alarm value is sent out in time to the bridge body alarm time to the alarm module is real-time when the bridge body alarm is sent out by the bridge body alarm to the bridge body.
α×t≥β；
Where α is the tension detected in the tension sensor plate, t is the traction time of the traction force, and β is the tension specified value.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The automatic bridge crack detection method is characterized by comprising the following steps of: the method comprises the following steps:
s1, firstly, distributing and fixing three installation frames a, b and c on two sides of the upper surface of a bridge body;
s2, installing cameras 1 in the middle of the lower surfaces of the installation frame a and the installation frame c, and installing cameras 2 on two sides of the lower surface respectively;
s3, uniformly fixing three cameras 3 on the lower surface of the mounting frame b;
s4, at the moment, uniformly mounting a plurality of tension sensing plates on the upper parts of the outer walls of the two sides of the bridge body respectively, and mounting the wireless signal transceiver 1 outside the tension sensing plates;
s5, finally, bridge body picture information recorded by the camera 1, the camera 2 and the camera 3 is converted into gray value data through a monitoring main cabinet arranged on the bank, the gray value data are analyzed and compared, and when the gray value exceeds the early warning, the gray value data are timely fed back to maintenance rescue workers through a picture gray value early warning module, so that the purpose of remediation is achieved;
s6, tension data sent by the wireless signal transceiver 1 are collected through the monitoring total cabinet, the tension value calculation module is used for calculating the measured tension value, and when the tension value exceeds the early warning, the tension value early warning module timely feeds back the tension value to maintenance rescue workers, so that the purpose of reducing the damage degree of the bridge body is achieved.
2. The automatic bridge crack detection method according to claim 1, wherein the method comprises the following steps: the monitoring switchboard comprises a picture gray value conversion processing module, and bridge picture information recorded by the camera 1, the camera 2 and the camera 3 is converted into gray value data through the picture gray value conversion processing module, so that analysis and processing of pictures are facilitated.
3. The automatic bridge crack detection method according to claim 1, wherein the method comprises the following steps: the monitoring switchboard comprises a picture gray value definition selecting module, and the most clear picture in the pictures is selected through the picture gray value definition selecting module, so that the accuracy of the picture during analysis and processing is improved.
4. The automatic bridge crack detection method according to claim 1, wherein the method comprises the following steps: the monitoring switchboard comprises an abnormal picture gray value feature storage module and a picture gray value feature comparison module, the selected pictures can be subjected to feature comparison through the picture gray value feature comparison module, when the similarity between the features in the selected pictures and the picture data in the abnormal picture gray value feature storage module is higher, the pictures are represented to be abnormal, and then the picture gray value early warning module sends safety early warning to staff.
5. The automatic bridge crack detection method according to claim 1, wherein the method comprises the following steps: the monitoring switchboard comprises a wireless signal transceiver 2, and tension data sent by the wireless signal transceiver 1 are collected through the wireless signal transceiver 2.
6. The automatic bridge crack detection method according to claim 1, wherein the method comprises the following steps: the monitoring switchboard cabinet comprises a tension value calculation module, the tension value calculation module calculates the measured tension in real time and analyzes whether the measured tension value exceeds a specified value in a period of time, when the measured tension value exceeds the specified value in a certain period of time, an alarm is sent to a tension value early warning module, and a maintenance and rescue remote notification module enables a worker to arrive at a bridge body to carry out timely maintenance work on the bridge body.
7. The automatic bridge crack detection method according to claim 6, wherein: the tension value calculation module specifically comprises:
α×t≥β；
where α is the tension detected in the tension sensor plate, t is the traction time of the traction force, and β is the tension specified value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310186000.4A CN116124792A (en) | 2023-03-01 | 2023-03-01 | Automatic bridge crack detection method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310186000.4A CN116124792A (en) | 2023-03-01 | 2023-03-01 | Automatic bridge crack detection method |
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| CN116124792A true CN116124792A (en) | 2023-05-16 |
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| CN202310186000.4A Pending CN116124792A (en) | 2023-03-01 | 2023-03-01 | Automatic bridge crack detection method |
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- 2023-03-01 CN CN202310186000.4A patent/CN116124792A/en active Pending
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