CN115355826A - Bridge monitoring system - Google Patents
Bridge monitoring system Download PDFInfo
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- CN115355826A CN115355826A CN202210862308.1A CN202210862308A CN115355826A CN 115355826 A CN115355826 A CN 115355826A CN 202210862308 A CN202210862308 A CN 202210862308A CN 115355826 A CN115355826 A CN 115355826A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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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
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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Abstract
The invention provides a bridge monitoring system which comprises a monitoring component, a target component, a shooting component and a cloud platform, wherein the monitoring component comprises a machine vision monitoring unit, the target component comprises a target, the target is arranged below a beam plate of a bridge, the monitoring component is arranged at a position where all targets can be observed, the shooting component is aligned to the upper surface of the bridge above the target component, the cloud platform is remotely connected with the machine vision monitoring unit and the shooting component, when the machine vision monitoring unit monitors that the displacement of the target exceeds a preset threshold value, an abnormity notice is sent to the cloud platform and the shooting component, the machine vision monitoring unit generates a displacement curve of the target with the displacement exceeding the preset threshold value and uploads the displacement curve to the cloud platform, and the shooting component uploads videos before and after the abnormity. The invention has the advantages that: the monitoring component can directly judge the abnormality, generate a displacement curve and inform the shooting component; and only when the abnormality is monitored, data is uploaded, and the data transmission quantity is small.
Description
Technical Field
The invention relates to the field of engineering monitoring, in particular to a bridge monitoring system.
Background
The bridge is used as an important component of a traffic system, plays an important role in daily travel of people, and has great significance for the development of transportation. However, during the construction and use of the bridge, various parts of the structure may be damaged and deteriorated to different degrees due to the influence of the environment, vehicles, wind, rain, snow and the like. If the damaged bridge cannot be detected and maintained in time, driving safety is affected, the service life of the bridge is shortened, and bridge damage and collapse accidents can occur. Therefore, it is very important to monitor and evaluate the health condition of the bridge in real time.
The existing bridge health monitoring system generally monitors a bridge in real time through various sensors or dynamic weighing devices and uploads monitoring data to a server, and the server judges the safety state of the bridge according to deformation data obtained through monitoring. The prior technical scheme has the following defects: sensors are required to be arranged at all positions of the bridge, the number of the used sensors is large, and system judgment errors can be caused when part of the sensors work abnormally; all sensors need to upload data to the server, and the server judges whether an abnormality occurs according to the uploaded data, so that the data uploaded by the sensors need to be kept synchronous to ensure that the server can accurately judge the abnormal condition in time; in addition, bridge monitoring is a long-term process, monitoring data need to be continuously uploaded by the sensors, and the data volume generated and uploaded by the sensors is large, so that the pressure of data transmission and storage is large, and data communication and storage resources are wasted; finally, the existing bridge health monitoring system generally only monitors whether the bridge is abnormal, and does not provide a means for helping monitoring personnel to judge the specific cause (such as vehicle overload) causing the bridge deformation, so that when the abnormal condition is caused by vehicle illegal behaviors, the existing system cannot provide evidence of vehicle illegal behaviors to related traffic departments.
In view of the foregoing, there is a need in the art to provide a bridge monitoring system that overcomes the deficiencies of the prior art.
Disclosure of Invention
The invention provides a bridge monitoring system which can solve the problems in the prior art. The purpose of the invention is realized by the following technical scheme.
The invention provides a bridge monitoring system which comprises a monitoring component, a target component, a shooting component and a cloud platform, wherein the monitoring component comprises at least one machine vision monitoring unit, the target component comprises at least one target, the target is arranged below a beam plate of a bridge, the monitoring component is fixedly arranged on the bridge and is arranged at a position capable of observing all targets of the target component, the shooting component is arranged above the bridge and aims at the upper surface of the bridge above the target component, the cloud platform is remotely connected with the machine vision monitoring unit and the shooting component, when the machine vision monitoring unit monitors that the displacement of the target exceeds a preset threshold value, the machine vision monitoring unit sends an abnormal notice to the cloud platform and the shooting component, generates a displacement curve of the target with the displacement exceeding the preset threshold value and uploads the displacement curve to the cloud platform, and after the shooting component receives the abnormal notice, videos of vehicles running on the bridge and the bridge before and after the abnormality occurs are uploaded to the cloud platform.
According to the bridge monitoring system provided by the above embodiment of the invention, the machine vision monitoring unit can also upload the data of the target with the displacement exceeding the preset threshold and the abnormal data analysis report to the cloud platform.
According to the bridge monitoring system provided by the embodiment of the invention, the shooting component shoots the bridge and the pictures of the vehicles running on the bridge when receiving the abnormal notification and uploads the pictures to the cloud platform.
According to the bridge monitoring system provided by the above embodiment of the invention, the monitoring assembly comprises a plurality of machine vision monitoring units, the target assembly comprises a plurality of targets, the monitoring assembly can monitor all the targets, each machine vision monitoring unit can monitor a plurality of the plurality of targets, different machine vision monitoring units can monitor a plurality of targets which are not identical, when the displacement of the target exceeds a preset threshold value, the machine vision monitoring unit monitoring the target sends an abnormal notification and uploads the data of the target with the abnormal occurrence to the cloud platform.
According to the bridge monitoring system provided by the above embodiment of the invention, the shooting component comprises a plurality of cameras, the shooting component shoots the upper surface of the bridge above the target component, each camera shoots the upper surface of the bridge above a plurality of targets, different cameras shoot the upper surface of the bridge above an incompletely same target, when the displacement of the target exceeds a preset threshold value, the machine vision monitoring unit for monitoring the target sends an abnormality notification to the camera shooting the upper surface of the bridge above the target and uploads the data of the target with the abnormality to the cloud platform, and after receiving the abnormality notification, the camera shoots photos and/or videos of the bridge and vehicles driving on the bridge and uploads the photos and/or videos to the cloud platform.
According to the bridge monitoring system provided by the embodiment of the invention, when one camera receives the abnormal notification for a plurality of times within the preset first time length, the camera takes and only takes a picture of the upper surface of the bridge once and uploads the picture to the cloud platform.
According to the bridge monitoring system provided by the above embodiment of the invention, the camera continuously shoots videos of the bridge and vehicles running on the bridge and stores the videos, the videos stored in the camera are deleted after a preset second time period, the camera intercepts the videos within a third time period before the abnormal notification is received after the abnormal notification of the machine vision monitoring unit is received and shoots the videos within the third time period after the abnormal notification is received, and the camera uploads the videos within the third time period before and after the abnormal notification is received to the cloud platform.
According to the bridge monitoring system provided by the embodiment of the invention, the second time length is greater than twice the third time length.
According to the bridge monitoring system provided by the embodiment of the invention, the shooting component automatically identifies the vehicle information in the video and/or the photo when the abnormity occurs and uploads the vehicle information to the cloud platform.
According to the bridge monitoring system provided by the embodiment of the invention, the machine vision monitoring unit of the monitoring component is in communication connection with the monitoring component in a wired or wireless mode through the local area network.
According to the bridge monitoring system provided by the above embodiment of the invention, the bridge monitoring system further comprises a power supply component, and the power supply component is electrically connected with the machine vision monitoring unit and the shooting component.
According to the bridge monitoring system provided by the embodiment of the invention, the bridge monitoring system further comprises the client, the client is remotely connected with the cloud platform, and monitoring personnel can check data, videos and pictures on the cloud platform through the client.
According to the bridge monitoring system provided by the embodiment of the invention, the targets are infrared targets, and each target has a unique number which can be identified by the machine vision monitoring unit.
According to the bridge monitoring system provided by the above embodiment of the invention, the remote connection between the cloud platform and the machine vision monitoring unit and the shooting component is a wired network connection or a wireless network connection for transmission by means of 3G, 4G, 5G or WIFI.
According to the bridge monitoring system provided by the above embodiment of the invention, the remote connection between the client and the cloud platform is a wired network connection or a wireless network connection for transmission in a 3G, 4G, 5G or WIFI manner.
According to the bridge monitoring system provided by the above embodiment of the invention, the bridge monitoring system further comprises a sensor, the sensor is installed on the bridge, the shooting component is further aligned with the upper surface of the bridge above the sensor, when the sensor monitors deformation data exceeding a preset threshold value, the sensor sends an abnormality notification to the cloud platform and the shooting component and uploads monitoring data before and after the abnormality occurs to the cloud platform, and after the shooting component receives the abnormality notification, the shooting component shoots pictures and/or videos of the bridge and vehicles running on the bridge and uploads the pictures and/or videos to the cloud platform.
The bridge monitoring system according to the embodiment of the invention has the advantages that: the machine vision monitoring unit can directly send out an abnormity notification after monitoring abnormity, and abnormity judgment is carried out by a cloud platform or a server without uploading data; the number of the used sensors is small, the cost is low, and the reliability is high; the machine vision monitoring unit and the shooting component are in the same local area network, and the machine vision monitoring unit directly informs the shooting component to take a snapshot, so that the real-time performance of the snapshot and the synchronous transmission of abnormal event data and image/video data are ensured, and the reliability and the integrity of data uploading are improved; only when monitoring the abnormity, the data is uploaded, the data transmission quantity is small, and the pressure of data transmission and storage is reduced; the machine vision monitoring unit can analyze the received monitoring data, automatically generate analysis results such as a bridge displacement curve changing along with time and the like, and is beneficial to monitoring personnel to judge the health state of the bridge; the video data and the vehicle information analysis result at the abnormal moment can be checked and read through the client, so that the tracing of the emergency can be realized, and the safety of the bridge and traffic operation can be guaranteed.
Drawings
Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments thereof, which proceeds with reference to the accompanying drawings.
FIG. 1 shows a schematic view of a bridge monitoring system according to one embodiment of the present invention.
Fig. 2 shows a schematic diagram of a many-to-many relationship between a machine vision monitoring unit, a target and a camera of the bridge monitoring system according to one embodiment of the invention as shown in fig. 1.
Reference numerals and part names: 1-monitoring component, 2-targeting component, 3-shooting component, 4-cloud platform, 5-client, 6-power supply component, 7-beam plate, 11-machine vision monitoring unit, 21-targeting, 31-camera.
Detailed Description
The following description of the embodiments of the present application with reference to the drawings and examples will make it clear that those skilled in the art can fully understand the technical solutions, technical problems to be solved, and technical effects produced by the solutions described in the present application through the contents described in the present specification. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. In addition, for convenience of description, only portions related to the present application are shown in the drawings.
It should be noted that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the contents described in the specification to understand and read by those skilled in the art, and are not used for limiting the conditions that the present application can be implemented, so that the present application does not have a substantial technical meaning, and any modifications of the structures, changes of the ratio relationships, or adjustments of the sizes should fall within the scope covered by the technical contents disclosed in the present application without affecting the functions and the achievable purposes of the present application.
Reference to words such as "first," "second," "the," and the like do not denote a limitation of quantity, and may refer to the singular or the plural. The use of the terms "including," "comprising," "having," and any variations thereof herein, are intended to cover a non-exclusive inclusion; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may also include direct and indirect electrical connections.
FIG. 1 shows a schematic view of a bridge monitoring system according to one embodiment of the present invention. Fig. 2 shows a schematic diagram of a many-to-many relationship between the machine vision monitoring units, targets and cameras of the bridge monitoring system according to one embodiment of the invention as shown in fig. 1. As shown in fig. 1-2, the bridge monitoring system includes a monitoring component 1, a target component 2, a shooting component 3 and a cloud platform 4, the monitoring component 1 includes at least one machine vision monitoring unit 11, the target component 2 includes at least one target 21, the target 21 is disposed below a beam plate 7 of the bridge, the monitoring component 1 is fixedly mounted on the bridge and disposed at a position where all targets 21 of the target component 2 can be observed, the shooting component 3 is disposed above the bridge and the shooting component 3 is aligned to an upper surface of the bridge above the target component 2, the cloud platform 4 is remotely connected with the machine vision monitoring unit 11 and the shooting component 3, the machine vision monitoring unit 11 sends an abnormality notification to the cloud platform 4 and the shooting component 3 when monitoring a displacement of the target 21 exceeds a preset threshold, the machine vision monitoring unit 11 generates a displacement curve of the target 21 exceeding the preset threshold and uploads the displacement curve to the cloud platform 4, and the shooting component 3 uploads videos of vehicles running on the bridge and the bridge before and after the abnormality occurs to the cloud platform 4.
According to the bridge monitoring system provided by the above embodiment of the invention, the machine vision monitoring unit 11 can also generate and upload other data about the target 21 with the displacement amount exceeding the preset threshold to the cloud platform 4, and the other data about the target 21 with the displacement amount exceeding the preset threshold includes, but is not limited to, an abnormal data analysis report.
According to the bridge monitoring system provided by the embodiment of the invention, the shooting component 3 shoots the bridge and the pictures of the vehicles running on the bridge when receiving the abnormal notification and uploads the pictures to the cloud platform. The definition of the picture shot by the shooting component 3 is higher than that of the video, the picture is used for helping monitoring personnel to determine the condition of the bridge at a specific time point when an abnormality occurs, and the picture with high definition is more convenient for the monitoring personnel to identify detailed information such as a license plate, a vehicle type and appearance of a driver of a vehicle on the bridge.
According to the bridge monitoring system provided by the above embodiment of the invention, the monitoring assembly 1 includes a plurality of machine vision monitoring units 11, the target assembly 2 includes a plurality of targets 21, the monitoring assembly 1 can monitor all the targets 21, each machine vision monitoring unit 11 can monitor several of the plurality of targets 21, different machine vision monitoring units 11 can monitor several targets that are not identical, when the displacement of the target 21 exceeds a preset threshold, the machine vision monitoring unit 11 monitoring the target 21 sends an abnormality notification and uploads the data of the target 21 with the abnormality to the cloud platform. The machine vision monitoring units 11 are matched with the targets 21 in a many-to-many mode, the shooting assembly 3 provides certain redundant monitoring capacity, and the probability that the bridge monitoring system cannot monitor normally due to faults of the individual machine vision monitoring units 11 is reduced.
According to the bridge monitoring system provided by the above embodiment of the present invention, the camera assembly 3 includes a plurality of cameras 31, the camera assembly 3 shoots the upper surface of the bridge above the target assembly 2, each camera 31 shoots the upper surface of the bridge above a plurality of targets 21, different cameras 31 shoot the upper surfaces of the bridge above the different targets 21, when the displacement of the target 21 exceeds a preset threshold, the machine vision monitoring unit 11 monitoring the target 21 sends an abnormality notification to the camera 31 shooting the upper surface of the bridge above the target 21 and uploads the data of the target 21 with the abnormality to the cloud platform, and after receiving the abnormality notification, the camera 31 shoots photos and/or videos of the bridge and vehicles driving on the bridge and uploads the photos to the cloud platform. The cameras 31 and the targets 21 are matched in a many-to-many manner, so that a certain redundant shooting capability is provided for the shooting component 3, and the probability that the bridge monitoring system cannot obtain image data when an abnormality occurs due to the failure of the respective camera 31 is reduced.
According to the bridge monitoring system provided by the above embodiment of the invention, when one camera 31 receives the abnormal notification for multiple times within the preset first time length, the camera 31 takes and only takes once the photo and/or the video of the upper surface of the bridge and uploads the photo and/or the video to the cloud platform, so that the repeated uploading of the photo and the video is avoided, and the uploading data volume and the occupancy amount of the storage space of the cloud platform are reduced. The first time length is determined according to the set density of the targets 21, the density of the bridge passing vehicles and the like, and preferably, the first time length is 1 second.
According to the bridge monitoring system provided by the above embodiment of the present invention, the camera 31 continuously captures videos of the bridge and vehicles traveling on the bridge and stores the videos, the videos stored in the camera 31 are deleted after a preset second time period elapses, the camera 31 intercepts the video within a third time period before the anomaly notification is received after receiving the anomaly notification from the machine vision monitoring unit 11 and captures the video within the third time period after the anomaly notification is received, and the camera 31 uploads the video within the third time period before and after the anomaly notification is received to the cloud platform 4.
According to the bridge monitoring system provided by the embodiment of the invention, the second time length is greater than twice the third time length. The second time length is determined according to the storage capacity of the camera, and the third time length is greater than or equal to 1 minute.
According to the bridge monitoring system provided by the above embodiment of the invention, the shooting component 3 automatically identifies the vehicle information in the video and/or the photo when the abnormality occurs and uploads the vehicle information to the cloud platform 4. The vehicle information includes, but is not limited to, vehicle license plate, vehicle model, and/or vehicle color, etc.
According to the bridge monitoring system provided by the above-mentioned embodiment of the present invention, the machine vision monitoring unit 11 of the monitoring assembly 1 is connected with the monitoring assembly 1 in a wired or wireless manner through the local area network.
According to the bridge monitoring system provided by the above embodiment of the invention, the bridge monitoring system further comprises a power supply assembly 6, and the power supply assembly 6 is electrically connected with the machine vision monitoring unit 11 and the shooting assembly 3.
According to the bridge monitoring system provided by the above embodiment of the present invention, the bridge monitoring system further includes a client 5, the client 5 is remotely connected to the cloud platform 4, and monitoring personnel can view data, videos, and pictures on the cloud platform 4 through the client 5.
According to the bridge monitoring system provided by the above embodiment of the invention, the targets 21 are infrared targets, and each target 21 has a unique number that can be identified by the machine vision monitoring unit 11. The machine vision monitoring unit 11 can monitor the displacement amount of the target 21 and recognize different targets 21 at night and in an environment with low visibility such as rain, snow, and haze.
According to the bridge monitoring system provided by the above embodiment of the present invention, the remote connection between the cloud platform 4 and the machine vision monitoring unit 11 and the shooting assembly 3 is a wired network connection or a wireless network connection for transmission by means of 3G, 4G, 5G or WIFI.
According to the bridge monitoring system provided by the above embodiment of the present invention, the remote connection between the client 5 and the cloud platform 4 is a wired network connection or a wireless network connection that transmits in a 3G, 4G, 5G or WIFI manner.
According to the bridge monitoring system provided by the above embodiment of the present invention, the bridge monitoring system further includes a sensor (not released) installed at a position to be monitored on the bridge, preferably, the sensor is disposed at a position not suitable for being monitored by the machine vision monitoring unit 11, for example: the machine vision monitoring unit 11 is used for shooting a position where a visual field is blocked and needs to be monitored, the shooting component 3 is aligned to the upper surface of the bridge above the sensor, when the sensor monitors deformation data exceeding a preset threshold value, the sensor sends an abnormity notification to the cloud platform 4 and the shooting component 3 and uploads monitoring data before and after the abnormity occurs to the cloud platform 4, and the shooting component 3 receives the abnormity notification and then shoots pictures and/or videos of the bridge and vehicles running on the bridge and uploads the pictures and/or videos to the cloud platform 4. The deformation data monitored by the sensors includes, but is not limited to, crack width, inclination, or shock acceleration.
The bridge monitoring system according to the embodiment of the invention has the advantages that: the machine vision monitoring unit can directly send out an abnormity notification after monitoring abnormity, and abnormity judgment is carried out by a cloud platform or a server without uploading data; the number of the used sensors is small, the cost is low, and the reliability is high; the machine vision monitoring unit and the shooting component are in the same local area network, and the machine vision monitoring unit directly informs the shooting component to take a snapshot, so that the real-time performance of the snapshot and the synchronous transmission of abnormal event data and image/video data are ensured, and the reliability and the integrity of data uploading are improved; only when monitoring the abnormity, the data is uploaded, the data transmission quantity is small, and the pressure of data transmission and storage is reduced; the machine vision monitoring unit can analyze the received monitoring data and automatically generate analysis results such as a bridge displacement curve and the like which change along with time, so that monitoring personnel can judge the health state of the bridge; the video data and the vehicle information analysis result at the abnormal moment can be checked and read through the client, so that the tracing of the emergency can be realized, and the safety of the bridge and traffic operation can be guaranteed.
While the present application has been described and illustrated with reference to particular embodiments thereof, such description and illustration are not intended to be construed in a limiting sense. It will be clearly understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present application as defined in the claims. There may be a difference between the technical reproduction in the present application and the actual device due to variables in the manufacturing process and the like. There may be other embodiments of the application that are not specifically illustrated. The specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of the appended claims. Although the methods disclosed herein have been described with reference to particular operations performed in a particular order, it should be understood that these operations may be recombined, sub-divided, or arranged to form an equivalent method without departing from the teachings of the present application. Accordingly, unless specifically indicated herein, the order and grouping of the operations is not a limitation of the present application.
Claims (16)
1. A bridge monitoring system is characterized by comprising a monitoring component, a target component, a shooting component and a cloud platform, wherein the monitoring component comprises at least one machine vision monitoring unit, the target component comprises at least one target, the target is arranged below a beam plate of a bridge, the monitoring component is fixedly arranged on the bridge and is arranged at a position where all targets of the target component can be observed, the shooting component is arranged above the bridge and aims at the upper surface of the bridge above the target component, the cloud platform is remotely connected with the machine vision monitoring unit and the shooting component, when the machine vision monitoring unit monitors that the displacement of the target exceeds a preset threshold value, the machine vision monitoring unit sends an abnormity notice to the cloud platform and the shooting component, generates a displacement curve of the target with the displacement exceeding the preset threshold value and uploads the displacement curve to the cloud platform, and after the shooting component receives the abnormity notice, videos of vehicles running on the bridge and the bridge before and after abnormity occurs are uploaded to the cloud platform.
2. The bridge monitoring system according to claim 1, wherein the machine vision monitoring unit is further capable of uploading data of the target with displacement exceeding a preset threshold and an abnormal data analysis report to the cloud platform.
3. The bridge monitoring system of claim 2, wherein the capture component captures a picture of the bridge and vehicles traveling on the bridge upon receiving the anomaly notification and uploads the picture to the cloud platform.
4. The bridge monitoring system according to claim 3, wherein the monitoring assembly comprises a plurality of machine vision monitoring units, the target assembly comprises a plurality of targets, the monitoring assembly is capable of monitoring all targets, each machine vision monitoring unit is capable of monitoring a plurality of targets, different machine vision monitoring units are capable of monitoring a plurality of targets which are not identical, and when the displacement of a target exceeds a preset threshold, the machine vision monitoring unit monitoring the target sends an abnormality notification and uploads the data of the target with the abnormality to the cloud platform.
5. The bridge monitoring system according to claim 4, wherein the camera assembly comprises a plurality of cameras, the camera assembly shoots the upper surface of the bridge above the target assembly, each camera shoots the upper surface of the bridge above a plurality of targets, different cameras shoot the upper surface of the bridge above an incompletely identical target, when the displacement of the target exceeds a preset threshold, the machine vision monitoring unit monitoring the target sends an abnormality notification to the camera shooting the upper surface of the bridge above the target and uploads the data of the target with the abnormality to the cloud platform, and after the abnormality notification is received, the camera shoots photos and/or videos of the bridge and vehicles driving on the bridge and uploads the photos to the cloud platform.
6. The bridge monitoring system according to claim 5, wherein when one camera receives the abnormality notification a plurality of times within a preset first time period, the camera takes and only takes a picture of the upper surface of the bridge once and uploads the picture to the cloud platform.
7. The bridge monitoring system according to claim 6, wherein the camera continuously captures videos of the bridge and vehicles driving on the bridge and stores the videos, the videos stored in the camera are deleted after a preset second time period, the camera intercepts the videos within a third time period before the abnormal notification is received after receiving the abnormal notification of the machine vision monitoring unit and captures the videos within the third time period after the abnormal notification is received, and the cameras upload the videos within the third time period before and after the abnormal notification is received to the cloud platform.
8. The bridge monitoring system of claim 7, wherein the second length of time is greater than twice the third length of time.
9. The bridge monitoring system of claim 8, wherein the shooting component automatically identifies vehicle information in the video and/or the photo when the abnormality occurs and uploads the vehicle information to the cloud platform.
10. The bridge monitoring system of claim 9, wherein the machine vision monitoring unit of the monitoring assembly is communicatively coupled to the monitoring assembly via a local area network in a wired or wireless manner.
11. The bridge monitoring system of claim 10, further comprising a power supply assembly electrically connected to the machine vision monitoring unit and the camera assembly.
12. The bridge monitoring system of claim 11, further comprising a client connected to the cloud platform remotely, wherein monitoring personnel can view data, video and pictures on the cloud platform through the client.
13. The bridge monitoring system of claim 12, wherein the targets are infrared targets, each target having a unique number that can be identified by a machine vision monitoring unit.
14. The bridge monitoring system of claim 1, wherein the remote connections of the cloud platform to the machine vision monitoring unit and the camera assembly are wired network connections or wireless network connections transmitting through 3G, 4G, 5G or WIFI.
15. The bridge monitoring system of claim 12, wherein the remote connection between the client and the cloud platform is a wired network connection or a wireless network connection that transmits via 3G, 4G, 5G, or WIFI.
16. The bridge monitoring system according to claim 1, further comprising a sensor, wherein the sensor is installed on the bridge, the shooting component is further aligned to the upper surface of the bridge above the sensor, the sensor sends an abnormality notification to the cloud platform and the shooting component when monitoring deformation data exceeding a preset threshold value and uploads monitoring data before and after the abnormality occurs to the cloud platform, and the shooting component shoots photos and/or videos of the bridge and vehicles driving on the bridge after receiving the abnormality notification and uploads the photos and/or videos to the cloud platform.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210862308.1A CN115355826A (en) | 2022-07-20 | 2022-07-20 | Bridge monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210862308.1A CN115355826A (en) | 2022-07-20 | 2022-07-20 | Bridge monitoring system |
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| CN115355826A true CN115355826A (en) | 2022-11-18 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117470116A (en) * | 2023-12-28 | 2024-01-30 | 欧梯恩智能科技(苏州)有限公司 | Bridge collision monitoring system and method |
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- 2022-07-20 CN CN202210862308.1A patent/CN115355826A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117470116A (en) * | 2023-12-28 | 2024-01-30 | 欧梯恩智能科技(苏州)有限公司 | Bridge collision monitoring system and method |
| CN117470116B (en) * | 2023-12-28 | 2024-03-08 | 欧梯恩智能科技(苏州)有限公司 | Bridge collision monitoring system and method |
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