CN112556760A - Bridge crack monitoring system - Google Patents
Bridge crack monitoring system Download PDFInfo
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- CN112556760A CN112556760A CN202011471909.7A CN202011471909A CN112556760A CN 112556760 A CN112556760 A CN 112556760A CN 202011471909 A CN202011471909 A CN 202011471909A CN 112556760 A CN112556760 A CN 112556760A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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Abstract
The invention discloses a bridge crack monitoring system, which is characterized by comprising a remote monitoring platform, mobile detection equipment and information acquisition devices which are uniformly distributed on a bridge, wherein the remote monitoring platform is used for collecting information for processing, the mobile detection equipment is used for trip detection according to a remote monitoring platform command, and the information acquisition devices are in signal connection with the remote monitoring platform and comprise a plurality of sensor devices which are buried in the bridge and used for monitoring the interior of the bridge and environment monitors which are arranged on the periphery of the bridge and used for detecting the environment and traffic conditions of the bridge.
Description
Technical Field
The invention relates to a pavement detection technology, in particular to a bridge crack monitoring system.
Background
At present, in order to support the demands of high-speed economic development and social progress, the total amount of domestic highway construction is increased year by year, the mileage of the constructed roads is increased, and in many domestic areas, the roads are of mountain land or Jiangling types, and a bridge building mode is often needed to shorten the travel distance. Meanwhile, the economic development also brings about the extremely rapid increase of traffic volume, and the load of overspeed and overload vehicles on roads and the increasingly severe climate factors accelerate the deterioration of road structure performance and the cracks of bridge pavements caused by pavement aging, so that the roads need to be comprehensively monitored and analyzed for health.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a bridge crack monitoring system which has the advantages of intelligently detecting and analyzing bridge cracks and improving the detection and maintenance effects of bridges.
In order to achieve the purpose, the invention provides the following technical scheme: a bridge crack monitoring system comprises a remote monitoring platform, mobile detection equipment and information acquisition devices uniformly distributed on a bridge, wherein a processor and a display screen connected with the processor are arranged in the remote monitoring platform, the mobile detection equipment carries out trip detection according to a remote monitoring platform command, and the information acquisition devices are in signal connection with the remote monitoring platform and comprise a plurality of sensor devices which are buried in the bridge and used for monitoring the interior of the bridge and environment monitors which are arranged on the periphery of the bridge and used for detecting the environment and traffic condition of the bridge;
the processor comprises a simulation module, an analysis early warning module and a database, wherein the database is used for storing information acquisition device information and maintenance data of a bridge, the simulation module adopts a BIM technology to establish a BIM model consistent with bridge data and leads environmental monitor data into a damaged data model which is damaged by the environmental influence of the bridge on the BIM model in real time, the analysis early warning module leads actual detection data of the sensor device into the simulation module and carries out numerical comparison with the damaged data model established on the simulation module, green labeling is carried out on points of which the actual monitoring data is greater than the damaged data model data on the simulation module for monitoring in real time and accumulating monitoring time, an alarm threshold value and an early warning threshold value are further arranged in the analysis early warning module, and when the actual monitoring data reaches the alarm threshold value and the difference value of which the actual monitoring data is greater than the damaged data model reaches the early warning threshold value, the analysis early warning module changes the points into red for carrying out And early warning, wherein when the variables which do not reach the alarm threshold value, the early warning threshold value and the labeling point and meet the condition that the actual monitoring data is larger than the damaged data model value in any continuous time period in the monitoring time are continuously increased, the analysis early warning module changes the labeling into yellow to carry out early warning.
The invention is further configured to: the database is including information storage module and maintenance record module, the information storage module stores the information that information acquisition device transmitted, maintenance record module record has the maintenance historical record of various bridge damage reasons, maintenance scheme and monitoring bridge, the treater is still including the screening module, the screening module is arranged in the data of each bridge maintenance record in the historical maintenance data of the monitoring bridge of database and the database screens the maintenance reference scheme according to the information acquisition device's that the database stored collection information after the crack appears.
The invention is further configured to: the mobile detection equipment comprises a road surface condition acquisition vehicle and an auxiliary unmanned aerial vehicle, wherein the road surface condition acquisition vehicle is provided with ground penetrating radar equipment, a laser deflection determinator and a laser road surface flatness determinator, and the auxiliary unmanned aerial vehicle is provided with high-definition camera equipment and an ultrasonic radar.
The invention is further configured to: the sensor device comprises an optical fiber pressure sensor for monitoring the pressure environment condition inside the bridge and a temperature and humidity sensor for sensing the temperature and humidity change inside the bridge.
The invention is further configured to: the environment monitor comprises a plurality of temperature and humidity detectors, wind power detection equipment and road camera equipment which are arranged along a bridge path at uniform intervals.
The invention is further configured to: the optical fiber pressure sensors are embedded in the bridge at even intervals along the transverse and longitudinal directions of the bridge, and the temperature and humidity sensors are annularly arranged around the optical fiber pressure sensors.
The invention is further configured to: the processor also comprises a grading module, and the grading module marks the simulation module according to the repeated overhaul area in the bridge overhaul data in the database.
The invention is further configured to: and the road surface condition acquisition vehicle and the auxiliary unmanned aerial vehicle are provided with GPS locators.
In conclusion, the invention has the following beneficial effects: the BIM model of the bridge is established through the remote monitoring platform and matched with the information acquisition device to compare and screen abnormal points of the bridge environmental interference information serving as the estimated damaged model of the bridge and the actual information in the bridge acquired by the information acquisition device, so that the detection effect of the bridge is improved; the database and the screening module in the processor can intelligently analyze cracks appearing on the bridge, screen out the reference scheme, and improve the maintenance efficiency.
Drawings
FIG. 1 is a general system block diagram of the present embodiment;
FIG. 2 is a block diagram of the processing structure of the present embodiment;
fig. 3 is a block diagram of the database structure of the present embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment discloses a bridge crack monitoring system, as shown in fig. 1-3, which comprises a remote monitoring platform, a mobile detection device and information acquisition devices uniformly distributed on a bridge, wherein a processor and a display screen connected with the processor are arranged in the remote monitoring platform, the mobile detection device performs trip detection according to a command of the remote monitoring platform, and the information acquisition devices are in signal connection with the remote monitoring platform and comprise a plurality of sensor devices which are buried in the bridge and used for monitoring the interior of the bridge and environment monitors which are arranged on the periphery of the bridge and used for detecting the environment and traffic conditions of the bridge;
the processor comprises a simulation module, an analysis early warning module and a database, wherein the database is used for storing information acquisition device information and maintenance data of a bridge, the simulation module adopts a BIM technology to establish a BIM model consistent with bridge data and leads environmental monitor data into a damaged data model which is damaged by the environmental influence of the bridge on the BIM model in real time, the analysis early warning module leads actual detection data of the sensor device into the simulation module and carries out numerical comparison with the damaged data model established on the simulation module, green labeling is carried out on points of which the actual monitoring data is greater than the damaged data model data on the simulation module to carry out real-time monitoring and accumulate monitoring time and display information on a display screen, an alarm threshold value and an early warning threshold value are further arranged in the analysis early warning module, and when the actual monitoring data reaches the alarm threshold value and the difference value of which the actual monitoring data is greater than the damaged data model reaches the early warning threshold value And when the condition is met, the analysis early warning module changes the mark of the point into red for early warning, and when the condition is met, the alarm threshold value, the early warning threshold value and the variable of the mark point, of which the actual monitoring data is greater than the numerical value of the damaged data model, are continuously increased in any continuous time period in the monitoring time, the analysis early warning module changes the mark into yellow for early warning.
The BIM model of the bridge is established and is shown on the display screen through the simulation module of remote monitoring platform treater, the impaired data model of bridge is deduced out in the simulation of bridge environmental disturbance information to the external world that the environmental detector of cooperation information acquisition device gathered, the inside actual information of bridge that cooperates the sensor device collection again carries out contrast screening anomaly point and marks, monitor the mark point through analysis early warning module, the numerical value of sensor device response reaches alarm threshold value and directly reports to the police with this point mark reddening. And other labeled points which do not reach the alarm threshold value are judged to have problems by calculating the difference value that the actual monitoring data is greater than the damaged data model, displaying that the obvious difference exists between the actual monitoring data and the damaged data model when the difference value reaches the early warning threshold value, and labeling the points to change the red color for early warning. And the other marked points which do not reach the alarm threshold value and the early warning threshold value are continuously monitored and timed, and when the variable which has the actual monitoring data which is more than the damaged data model value for 3 days in the monitoring time in the subsequent monitored marked points is continuously increased, the analysis and early warning module changes the mark into yellow to carry out early warning, so that the staff is reminded that small cracks or cracks which indirectly interfere the sensor device possibly exist. Meanwhile, the data size change of each sensor device can assist in judging the trend of the crack, the monitoring and timing can confirm the main time period when the marking point changes, the judgment of the auxiliary maintenance reason of the relevant environment monitoring information can be extracted according to the time period, and the maintenance efficiency is improved. After the abnormal region is determined, people and mobile detection equipment can be arranged to go to the abnormal region to be checked by using the simulated real coordinate point of the abnormal region of the BIM model, so that the detection effect on the bridge is improved.
Further the database is including information storage module and maintenance record module, the information storage module is stored with the information that information acquisition device transmitted, maintenance record module record has the maintenance historical record of various bridge damage reasons, maintenance scheme and monitoring bridge, the treater is still including the screening module, the screening module is used for screening the maintenance reference scheme in the historical maintenance data of the monitoring bridge of database and the data of each bridge maintenance record in the database according to the information acquisition device's that the database stored collection information after the crack appears.
The data are screened through the database and the auxiliary database of the screening module, the related data of the similar cracks and the maintenance scheme can be screened out in time, the related data of the similar cracks and the maintenance scheme are provided for the maintainers to serve as references, and the maintenance work efficiency is improved.
Further the mobile detection equipment comprises a road surface condition acquisition vehicle for regular traveling and an auxiliary unmanned aerial vehicle, wherein the road surface condition acquisition vehicle is provided with ground penetrating radar equipment, a laser deflection determinator and a laser path surface flatness determinator, and the auxiliary unmanned aerial vehicle is provided with high-definition camera equipment and an ultrasonic radar.
The road surface data can be accurately collected through the road surface condition collection vehicle to assist in maintenance and judgment, the detection range of the bridge is strengthened by assisting the side wall and the bottom condition of the bridge in unmanned aerial vehicle function auxiliary detection, the detection effect can be improved by regular trip, and the system data is perfected.
And the sensor device comprises an optical fiber pressure sensor for monitoring the pressure environment condition inside the bridge and a temperature and humidity sensor for sensing the temperature and humidity change inside the bridge.
Can accurate monitoring bridge internal pressure change through optic fibre pressure sensor, and the crack external environment can the seepage influence to the bridge inside, can monitor near temperature and humidity of sensor device and analysis early warning module calculation and the humiture that external environment monitor measured through setting up temperature and humidity inductor and carry out supplementary contrast, further improve and detect the judgement rate of accuracy.
The environment monitor further comprises a plurality of temperature and humidity detectors, wind power detection equipment and road camera equipment which are arranged along the bridge path at even intervals.
The environmental monitor can monitor the data of external humiture, wind-force, traffic conditions, can simulate the pressure influence data of environmental data to the bridge through the analysis early warning module after typing in the treater.
Furthermore, the optical fiber pressure sensors are embedded in the bridge at even intervals along the transverse and longitudinal directions of the bridge, and temperature and humidity sensors are embedded around the sensor devices.
The bridge compression data can be better monitored by uniformly embedding, the temperature and humidity are embedded around the optical fiber bed sensor, the sensing in the peripheral direction can be enhanced, and the trend of cracks is judged in an auxiliary manner.
The processor further comprises a grading module, and the grading module marks the simulation module according to the repeated overhaul area in the bridge overhaul data in the database.
The key observation area is marked by the grading module, so that subsequent detection is facilitated, and accurate maintenance is carried out by determining the reason that cracks are easy to appear in the area.
And further, GPS locators are arranged on the road surface condition acquisition vehicle and the auxiliary unmanned aerial vehicle.
Remote monitoring platform carries out the punctuation and compares on the BIM model when can be better fixing a position and sending through the GPS locator, conveniently guides road surface situation collection vehicle and supplementary unmanned aerial vehicle to reach accurate needs monitoring area.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the design concept of the present invention should be included in the scope of the present invention.
Claims (8)
1. The utility model provides a bridge crack monitoring system which characterized in that: the system comprises a remote monitoring platform, mobile detection equipment and information acquisition devices uniformly distributed on the bridge, wherein a processor and a display screen connected with the processor are arranged in the remote monitoring platform, the mobile detection equipment carries out travel detection according to a command of the remote monitoring platform, and the information acquisition devices are in signal connection with the remote monitoring platform and comprise a plurality of sensor devices which are buried in the bridge and used for monitoring the interior of the bridge and environment monitors which are arranged on the periphery of the bridge and used for detecting the environment and traffic conditions of the bridge;
the processor comprises a simulation module, an analysis early warning module and a database, wherein the database is used for storing information of the information acquisition device and maintenance data of the bridge, the simulation module adopts a BIM technology to establish a BIM model consistent with bridge data and leads environmental monitor data into a damaged data model which is damaged by the influence of the environment of the bridge on the BIM model in real time, the analysis early warning module leads actual detection data of the sensor device into the simulation module and carries out numerical comparison with the damaged data model established on the simulation module, green labeling is carried out on points of which the actual monitoring data are larger than the damaged data model data on the simulation module for monitoring in real time and accumulating monitoring time, an alarm threshold value and an early warning threshold value are further arranged in the analysis early warning module, and when the actual monitoring data reach the alarm threshold value and the difference value of which the actual monitoring data are larger than the damaged data model reaches the early warning threshold value, the analysis early warning module changes the points into red color and then enters the red color And early warning is carried out, and when the variables which do not reach the alarm threshold value, the early warning threshold value and the marking point and meet the condition that the actual monitoring data is larger than the damaged data model value in any continuous time period in the monitoring time are continuously increased, the analysis and early warning module changes the marking to yellow for early warning.
2. The bridge fracture monitoring system of claim 1, wherein: the database is including information storage module and maintenance record module, the information storage module stores the information that information acquisition device transmitted, maintenance record module record has the maintenance historical record of various bridge damage reasons, maintenance scheme and monitoring bridge, the treater is still including the screening module, the screening module is arranged in the data of each bridge maintenance record in the historical maintenance data of the monitoring bridge of database and the database screens the maintenance reference scheme according to the information acquisition device's that the database stored collection information after the crack appears.
3. The bridge fracture monitoring system of claim 2, wherein: the mobile detection equipment comprises a road surface condition acquisition vehicle and an auxiliary unmanned aerial vehicle, wherein the road surface condition acquisition vehicle is provided with ground penetrating radar equipment, a laser deflection determinator and a laser road surface flatness determinator, and the auxiliary unmanned aerial vehicle is provided with high-definition camera equipment and an ultrasonic radar.
4. The bridge fracture monitoring system of claim 3, wherein: the sensor device comprises an optical fiber pressure sensor for monitoring the pressure environment condition inside the bridge and a temperature and humidity sensor for sensing the temperature and humidity change inside the bridge.
5. The bridge fracture monitoring system of claim 4, wherein: the environment monitor comprises a plurality of temperature and humidity detectors, wind power detection equipment and road camera equipment which are arranged along a bridge path at uniform intervals.
6. The bridge fracture monitoring system of claim 5, wherein: the optical fiber pressure sensors are embedded in the bridge at even intervals along the transverse and longitudinal directions of the bridge, and the temperature and humidity sensors are annularly arranged around the optical fiber pressure sensors.
7. The bridge fracture monitoring system of claim 6, wherein: the processor also comprises a grading module, and the grading module marks the simulation module according to the repeated overhaul area in the bridge overhaul data in the database.
8. The bridge fracture monitoring system of claim 7, wherein: and the road surface condition acquisition vehicle and the auxiliary unmanned aerial vehicle are provided with GPS locators.
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| CN202011471909.7A CN112556760A (en) | 2020-12-15 | 2020-12-15 | Bridge crack monitoring system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113295771A (en) * | 2021-06-09 | 2021-08-24 | 国网河北省电力有限公司保定供电分公司 | Automatic monitoring and alarming device and method for leakage rain |
| CN113700053A (en) * | 2021-08-13 | 2021-11-26 | 湖南方圆工程咨询监理有限公司 | BIM-based construction process foundation pit deformation monitoring and early warning method and system |
| CN114777896A (en) * | 2022-04-20 | 2022-07-22 | 江西天丰建设集团有限公司 | Vibration monitoring device and monitoring system for bridge construction |
| CN115015267A (en) * | 2022-05-20 | 2022-09-06 | 武汉公路桥梁建设集团工程试验检测有限公司 | Intelligent recognition's quick detecting system of multi-platform vehicle-mounted bridge |
| CN118644089A (en) * | 2024-08-15 | 2024-09-13 | 中铁贵州工程有限公司 | Crack detection early warning method and system for expressway construction |
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| CN113295771A (en) * | 2021-06-09 | 2021-08-24 | 国网河北省电力有限公司保定供电分公司 | Automatic monitoring and alarming device and method for leakage rain |
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| CN114777896A (en) * | 2022-04-20 | 2022-07-22 | 江西天丰建设集团有限公司 | Vibration monitoring device and monitoring system for bridge construction |
| CN114777896B (en) * | 2022-04-20 | 2022-12-02 | 江西天丰建设集团有限公司 | Vibration monitoring device and monitoring system for bridge construction |
| CN115015267A (en) * | 2022-05-20 | 2022-09-06 | 武汉公路桥梁建设集团工程试验检测有限公司 | Intelligent recognition's quick detecting system of multi-platform vehicle-mounted bridge |
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