CN113125133A - System and method for monitoring state of railway bridge and culvert height limiting protection frame - Google Patents
System and method for monitoring state of railway bridge and culvert height limiting protection frame Download PDFInfo
- Publication number
- CN113125133A CN113125133A CN202110325393.3A CN202110325393A CN113125133A CN 113125133 A CN113125133 A CN 113125133A CN 202110325393 A CN202110325393 A CN 202110325393A CN 113125133 A CN113125133 A CN 113125133A
- Authority
- CN
- China
- Prior art keywords
- information
- protection frame
- simulation
- culvert
- height limiting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004088 simulation Methods 0.000 claims abstract description 39
- 230000007613 environmental effect Effects 0.000 claims abstract description 19
- 230000001681 protective effect Effects 0.000 claims abstract description 13
- 230000001133 acceleration Effects 0.000 claims description 40
- 238000012545 processing Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000012806 monitoring device Methods 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 239000013618 particulate matter Substances 0.000 claims description 6
- 239000002352 surface water Substances 0.000 claims description 6
- 239000013589 supplement Substances 0.000 claims description 5
- 230000001960 triggered effect Effects 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims description 2
- 230000036544 posture Effects 0.000 description 31
- 238000004590 computer program Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000003116 impacting effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
Abstract
The application provides a state monitoring system and a state monitoring method for a railway bridge and culvert height limiting protection frame, wherein the method is applied to the system and provides attitude information of a collected protection frame; environmental information and image information near the protective frame; building a three-dimensional model of the protection frame, and carrying out attitude simulation by using the built three-dimensional model of the protection frame according to the received attitude information; extracting vehicle information from the received image information when the simulation exceeds a threshold; and generating and issuing alarm information according to the simulation result of the protective frame and the vehicle information. Through impact, gesture and the environmental information of pillar about detecting limit for height protection frame, the influence and the protection frame environment that the aassessment impact caused pillar, crossbeam gesture, later with impact force size, bridge and culvert gesture information after the emulation, report to the police according to whether surpassing the threshold value of predetermineeing, degree of automation is high, and the data range of collection is wide, has realized the comprehensive monitoring to limit for height protection frame.
Description
Technical Field
The invention relates to the technical field of height limiting protection frame monitoring, in particular to a state monitoring system and method for a railway bridge and culvert height limiting protection frame.
Background
The railway is provided with a plurality of fixed equipment facilities for ensuring traffic safety and line safety along the line, along with the increase of the railway operation mileage of China year by year, the railway along the line has a plurality of bridge culvert anti-collision beams across the highway, access passage doors for protecting nets along the line of the closed railway, level crossing ports without level improvement and the like, the positions are dispersed, the surrounding environment is difficult to manage, and once the fixed equipment facilities on site lose the function, the fixed equipment facilities can appear, for example: the major accidents of the car impacting the bridge and the road bed of the railway, the idle personnel running into the main track of the railway, the freight car impacting the railway crossing and the like.
The railway bridge and culvert anti-collision beams are damaged by collision and the railway bridge and culvert are damaged, the daily anti-collision beam detection at the present stage mainly adopts a manual inspection mode, when the collision event occurs, the vehicle causing the collision is not found or the experience with great cost is not found, and the daily small rubbing event is unknown and not sensed; for railway crossings and the like, the same extensive management mode exists, a video monitoring system is usually installed, and only the video monitoring system can be used as later event analysis data, and daily supervision needs to consume special persons or a large amount of manpower to analyze video records; the analysis efficiency is low, and the intellectualization is low, so that the damaged information cannot be reported automatically. On the other hand, the damage condition caused by the impact is not accurately evaluated, so that the alarm signal is misjudged, and based on the situation, the state monitoring system and the state monitoring method for the railway bridge and culvert height limiting protection frame are needed to be provided.
Disclosure of Invention
In view of this, this application embodiment is dedicated to providing a state monitoring system and method for railway bridge and culvert height limit protection frame, through impact, gesture and environmental information that detect the pillar about the height limit protection frame, assess the impact to pillar, crossbeam gesture cause influence and protection frame environment, later with impact force size, bridge and culvert gesture information after the emulation, report to the police according to whether surpassing preset threshold value, degree of automation is high, the data range of collection is wide, realized the comprehensive monitoring to height limit protection frame, be convenient for relevant departments to carry out overall management.
The embodiment of the invention provides a state monitoring system for a railway bridge and culvert height limiting protection frame, which comprises: the monitoring device, the cloud management platform and the mobile terminal are arranged on the protection frame; the monitoring device comprises a posture acquisition module, an environment acquisition module, an image acquisition module and a wireless transmission module; the gesture acquisition module is used for acquiring gesture information of the protection frame; the environment acquisition module is used for acquiring the environment information of the protection frame; the image acquisition module is used for acquiring image information near the tested protection frame; the wireless transmission module transmits the attitude information, the environmental information and the image information of the protection frame to the cloud management platform in a timing or triggered mode; the cloud management platform comprises a protection frame simulation module, an image processing module and an alarm issuing module; the protection frame simulation module is used for building a protection frame three-dimensional model and carrying out posture simulation by using the built protection frame three-dimensional model according to the received posture information; the image processing module is used for extracting vehicle information from the received image information when the simulation exceeds a threshold value; the alarm issuing module is used for issuing alarm information to the mobile terminal according to the simulation result of the protection frame.
According to the state monitoring system for the railway bridge and culvert height limiting protection frame, impact, posture and environment information of the left and right pillars of the height limiting protection frame are detected, influence of the impact on postures of the pillars and the cross beams and the environment of the protection frame are evaluated, then the impact force and the bridge and culvert posture information are simulated, and an alarm is given according to whether the impact force and the bridge and culvert posture information exceed a preset threshold value, so that the automation degree is high, the collected data range is wide, the comprehensive monitoring of the height limiting protection frame is realized, and the general management of related departments is facilitated.
Preferably, the attitude information includes a vibration signal, an attitude signal, and an acceleration signal. The environment information comprises temperature and humidity information, cluster fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
In the railway bridge and culvert height limiting protection frame state monitoring system that this embodiment provided, through diversely monitoring vibration condition, gesture condition and acceleration and environmental information etc. to the railway facility, make things convenient for the monitoring department in time to know the environment of railway facility in time, implement to make the judgement whether the railway facility receives the impact condition, gesture current situation and whether receive temperature influence etc. convenient in time maintenance.
In any one of the above embodiments, when the three-dimensional model of the protection frame is simulated, the three-dimensional model of the protection frame is subjected to stress simulation according to received acceleration information and vibration signals, the acceleration information is three-dimensional acceleration data acquired by a three-axis acceleration sensor, a stress direction is extracted according to the three-dimensional acceleration data, an amplitude is extracted by using the vibration signals, and stress analysis is performed according to the extracted stress direction and amplitude.
In any one of the above embodiments, the extracting, by the image processing module, the vehicle information from the image information includes extracting a license plate number and a body color from a shot photograph by using a neural network.
In any one of the above embodiments, the system further includes a light supplement lamp, and the light supplement lamp is used for assisting the camera to supplement light to take a live picture when an emergency occurs.
In the state monitoring system of the railway bridge and culvert height limiting protection frame provided by the embodiment of the application, the three-dimensional model of the protection frame is adopted, stress simulation and stress analysis are carried out on the three-dimensional model of the protection frame according to the acquired attitude information, and compared with the existing data only monitored by a sensor, the state and the damage degree of the height limiting protection frame can be more visually displayed, and the monitoring data is more accurate than the existing data independently relied.
The invention also provides a method for monitoring the state of the railway bridge and culvert height limiting protection frame, which comprises the following steps: collecting posture information of the protective frame; environmental information and image information near the protective frame; building a three-dimensional model of the protection frame, and carrying out attitude simulation by using the built three-dimensional model of the protection frame according to the received attitude information; extracting vehicle information from the received image information when the simulation exceeds a threshold; and generating and issuing alarm information according to the simulation result of the protective frame and the vehicle information.
Preferably, the attitude information includes a vibration signal, an attitude signal and an acceleration signal, and the environmental information includes temperature and humidity information, group fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
In any one of the above embodiments, when the three-dimensional model of the protection frame is simulated, the three-dimensional model of the protection frame is subjected to stress simulation according to received acceleration information and a vibration signal, the acceleration information is three-dimensional acceleration data acquired by a three-axis acceleration sensor, a stress direction is extracted according to the three-dimensional acceleration data, an amplitude is extracted by using the vibration signal, stress analysis is performed according to the extracted stress direction and amplitude, whether an analysis result exceeds a preset threshold value or not is judged, and when the analysis result exceeds the preset threshold value, alarm information is issued.
In any of the above embodiments, the extracting of the vehicle information from the image information includes extracting the license plate number and the body color from the photographed picture using a neural network.
According to the state monitoring method for the railway bridge and culvert height limiting protection frame provided by the embodiment of the invention, the impact, the posture and the environment information of the left and right pillars of the height limiting protection frame are detected, the influence of the impact on the postures of the pillars and the cross beams and the environment of the protection frame are evaluated, then the impact force and the bridge and culvert posture information are simulated, and an alarm is given according to whether the impact force and the bridge and culvert posture information exceed the preset threshold value, so that the automation degree is high, the collected data range is wide, the comprehensive monitoring on the height limiting protection frame is realized, and the general management and management of related departments are facilitated
Through diversely monitoring vibration condition, gesture condition and acceleration and environmental information etc. to the railway facilities, make things convenient for the monitoring department in time to know in time the environment of railway facilities, implement to make the judgement whether the railway facilities receives the impact condition, the gesture current situation and whether receive temperature influence etc. convenient in time maintenance.
The protection frame three-dimensional model is adopted, stress simulation and stress analysis are carried out on the protection frame three-dimensional model according to the acquired posture information, and compared with the existing data only monitored by a sensor, the state and the damage degree of the height limiting protection frame can be more visually displayed, and the data is more accurate than the existing data which is independently monitored.
The problem that manual operation is not in place can be effectively solved, the problem that the digital quantization index completely depends on manual experience and subjective judgment at the present stage is changed, meanwhile, all-weather real-time online monitoring of the system can effectively capture all abnormal information and retain effective proof provided by images and video information for correcting illegal and illegal events, and the 5G transmission construction cost is low, so that the influence on the environment is small.
Drawings
Fig. 1 is a schematic structural diagram illustrating a state monitoring system for a railway bridge and culvert height limiting protection frame according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a method for monitoring a state of a railway bridge height limiting protection frame according to an embodiment of the present application.
Fig. 3 is a schematic view of a three-dimensional simulation model interface of a cloud management platform in a state monitoring system of a railway bridge culvert height limiting protection frame according to an embodiment of the present application.
Fig. 4 is a schematic view of an alarm management interface in a state monitoring system of a railway bridge height limiting protection frame according to an embodiment of the present application.
In the figure:
1. a monitoring device; 2. a cloud management platform; 3. a mobile terminal; 101. an attitude acquisition module; 102. an environment acquisition module; 104. an image acquisition module; 103. a wireless transmission module; 201. a protective frame simulation module; 202. an image processing module; 203. and an alarm issuing module.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Further, in the exemplary embodiments, since the same reference numerals denote the same components having the same structure or the same steps of the same method, if an embodiment is exemplarily described, only a structure or a method different from the already described embodiment is described in other exemplary embodiments.
Throughout the specification and claims, when one element is described as being "connected" to another element, the one element may be "directly connected" to the other element or "electrically connected" to the other element through a third element. Furthermore, unless explicitly described to the contrary, the term "comprising" and its corresponding terms should only be taken as including the stated features, but should not be taken as excluding any other features.
As shown in fig. 1, an embodiment of the present invention provides a state monitoring system for a railway bridge and culvert height limiting protection frame, including: the system comprises a monitoring device 1, a cloud management platform 2 and a mobile terminal 3 which are arranged on a protective frame; the monitoring device 1 comprises a posture acquisition module 101, an environment acquisition module 102, an image acquisition module 104 and a wireless transmission module 103;
the posture acquisition module 101 is used for acquiring posture information of the protection frame; preferably, the attitude information includes a vibration signal, an attitude signal, and an acceleration signal.
The environment acquisition module 102 is configured to acquire environment information where the protection rack is located; the environment information comprises temperature and humidity information, cluster fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
In the railway bridge and culvert height limiting protection frame state monitoring system that this embodiment provided, through diversely monitoring vibration condition, gesture condition and acceleration and environmental information etc. to the railway facility, make things convenient for the monitoring department in time to know the environment of railway facility in time, implement to make the judgement whether the railway facility receives the impact condition, gesture current situation and whether receive temperature influence etc. convenient in time maintenance.
The image acquisition module 104 is used for acquiring image information near the tested protection frame; the auxiliary camera is used for supplementing light to shoot a scene photo when an emergency happens.
The wireless transmission module 103 adopts a timing or triggered mode to transmit the posture information, the environmental information and the image information of the protection frame to the cloud management platform 2;
the cloud management platform 2 comprises a protection frame simulation module 201, an image processing module 202 and an alarm issuing module 203;
as shown in fig. 3, the protection frame simulation module 201 is configured to build a protection frame three-dimensional model, and perform posture simulation by using the built protection frame three-dimensional model according to the received posture information; when the three-dimensional model of the protection frame is simulated, stress simulation is carried out on the three-dimensional model of the protection frame according to received acceleration information and vibration signals, the acceleration information is three-dimensional acceleration data collected by a three-axis acceleration sensor, the stress direction is extracted according to the three-dimensional acceleration data, the vibration signals are used for extracting the amplitude, and stress analysis is carried out according to the extracted stress direction and amplitude.
The image processing module 202 is used for extracting vehicle information from the received image information when the simulation exceeds a threshold value; the image processing module 202, when extracting the vehicle information from the image information, includes extracting the license plate number and the vehicle body color from the shot picture by using the neural network. The vehicle body color extraction includes extracting a vehicle edge from the image information, and determining the vehicle body color according to a pixel color ratio in the vehicle edge.
As shown in fig. 4, the alarm issuing module 203 is configured to issue alarm information to the mobile terminal 3 according to a simulation result of the protection frame. And forming an alarm information ledger, and counting the alarm times, the alarm types, the alarm levels and the like. The alarm types include impact alarm, environmental alarm, which is formed according to environmental monitoring data, such as water accumulation alarm, road icing alarm, etc.
According to the state monitoring system for the railway bridge and culvert height limiting protection frame, impact, posture and environment information of the left and right pillars of the height limiting protection frame are detected, influence of the impact on postures of the pillars and the cross beams and the environment of the protection frame are evaluated, then the impact force and the bridge and culvert posture information are simulated, and an alarm is given according to whether the impact force and the bridge and culvert posture information exceed a preset threshold value, so that the automation degree is high, the collected data range is wide, the comprehensive monitoring of the height limiting protection frame is realized, and the general management of related departments is facilitated.
In the state monitoring system of the railway bridge and culvert height limiting protection frame provided by the embodiment of the application, the three-dimensional model of the protection frame is adopted, stress simulation and stress analysis are carried out on the three-dimensional model of the protection frame according to the acquired attitude information, and compared with the existing data only monitored by a sensor, the state and the damage degree of the height limiting protection frame can be more visually displayed, and the monitoring data is more accurate than the existing data independently relied.
As shown in fig. 2, the invention also provides a method for monitoring the state of the railway bridge and culvert height limiting protection frame, which comprises the following steps:
s1, collecting posture information of the protective frame; environmental information and image information near the protective frame; preferably, the attitude information includes a vibration signal, an attitude signal and an acceleration signal, and the environmental information includes temperature and humidity information, group fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
S2, building a three-dimensional model of the protection frame, and carrying out posture simulation by using the built three-dimensional model of the protection frame according to the received posture information; when the protection frame three-dimensional model is simulated, stress simulation is carried out on the protection frame three-dimensional model according to received acceleration information and vibration signals, the acceleration information is three-dimensional acceleration data collected by a three-axis acceleration sensor, a stress direction is extracted according to the three-dimensional acceleration data, vibration signals are used for extracting amplitude, stress analysis is carried out through the extracted stress direction and amplitude, whether an analysis result exceeds a preset threshold value or not is judged, and when the analysis result exceeds the preset threshold value, alarm information is issued.
S3, extracting vehicle information from the received image information when the simulation exceeds a threshold value; when the vehicle information is extracted from the image information, the license plate number and the vehicle body color are extracted from the shot picture by using a neural network.
And S4, generating and issuing alarm information according to the simulation result of the protective frame and the vehicle information.
According to the state monitoring method for the railway bridge and culvert height limiting protection frame provided by the embodiment of the invention, the impact, the posture and the environment information of the left and right pillars of the height limiting protection frame are detected, the influence of the impact on the postures of the pillars and the cross beams and the environment of the protection frame are evaluated, then the impact force and the bridge and culvert posture information are simulated, and an alarm is given according to whether the impact force and the bridge and culvert posture information exceed the preset threshold value, so that the automation degree is high, the collected data range is wide, the comprehensive monitoring on the height limiting protection frame is realized, and the general management and management of related departments are facilitated
Through diversely monitoring vibration condition, gesture condition and acceleration and environmental information etc. to the railway facilities, make things convenient for the monitoring department in time to know in time the environment of railway facilities, implement to make the judgement whether the railway facilities receives the impact condition, the gesture current situation and whether receive temperature influence etc. convenient in time maintenance.
The protection frame three-dimensional model is adopted, stress simulation and stress analysis are carried out on the protection frame three-dimensional model according to the acquired posture information, and compared with the existing data only monitored by a sensor, the state and the damage degree of the height limiting protection frame can be more visually displayed, and the data is more accurate than the existing data which is independently monitored.
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to the various embodiments of the present application described in the "exemplary methods" section of this specification, above.
The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the present application described in the "exemplary methods" section above of this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. The utility model provides a railway bridge and culvert limit for height protection frame state monitoring system which characterized in that includes: the monitoring device, the cloud management platform and the mobile terminal are arranged on the protection frame;
the monitoring device comprises a posture acquisition module, an environment acquisition module, an image acquisition module and a wireless transmission module;
the gesture acquisition module is used for acquiring gesture information of the protection frame;
the environment acquisition module is used for acquiring the environment information of the protection frame;
the image acquisition module is used for acquiring image information near the tested protection frame;
the wireless transmission module transmits the attitude information, the environmental information and the image information of the protection frame to the cloud management platform in a timing or triggered mode;
the cloud management platform comprises a protection frame simulation module, an image processing module and an alarm issuing module;
the protection frame simulation module is used for building a protection frame three-dimensional model and carrying out posture simulation by using the built protection frame three-dimensional model according to the received posture information;
the image processing module is used for extracting vehicle information from the received image information when the simulation exceeds a threshold value;
the alarm issuing module is used for issuing alarm information to the mobile terminal according to the simulation result of the protection frame.
2. The railway bridge and culvert height limiting protection frame state monitoring system of claim 1, wherein the attitude information comprises a vibration signal, an attitude signal, an acceleration signal.
3. The system for monitoring the state of the railway, bridges and culverts height-limiting protection frame according to claim 1, wherein the environmental information comprises temperature and humidity information, fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
4. The railway bridge and culvert height limiting protection frame state monitoring system of claim 2, wherein when the protection frame three-dimensional model is simulated, stress simulation is performed on the protection frame three-dimensional model according to received acceleration information and vibration signals, the acceleration information is three-dimensional acceleration data collected by a three-axis acceleration sensor, a stress direction is extracted according to the three-dimensional acceleration data, vibration signals are used for extracting amplitude, and stress analysis is performed according to the extracted stress direction and amplitude.
5. The system for monitoring the state of the railway bridge and culvert height limiting protection frame according to claim 1, wherein the image processing module, when extracting the vehicle information from the image information, comprises extracting the license plate number and the body color from the shot picture by using a neural network.
6. The railway bridge and culvert height limiting protection frame state monitoring system of claim 1, further comprising a light supplement lamp, wherein the light supplement lamp is used for assisting a camera in supplementing light to take a scene picture when an emergency occurs.
7. The method for monitoring the state of the railway bridge and culvert height limiting protection frame according to claim 1, which is applied to the monitoring system of any one of the above claims 1 to 5, and comprises the following steps:
collecting posture information of the protective frame; environmental information and image information near the protective frame;
building a three-dimensional model of the protection frame, and carrying out attitude simulation by using the built three-dimensional model of the protection frame according to the received attitude information;
extracting vehicle information from the received image information when the simulation exceeds a threshold;
and generating and issuing alarm information according to the simulation result of the protective frame and the vehicle information.
8. The method for monitoring the state of the railway bridge height limiting protection frame according to claim 7,
the attitude information comprises vibration signals, attitude signals and acceleration signals, and the environmental information comprises temperature and humidity information, group fog information, surface water/snow information, air particulate matter information, visibility information and rain and snow information.
9. The method for monitoring the state of the railway bridge height limiting protection frame according to claim 7,
when the protection frame three-dimensional model is simulated, stress simulation is carried out on the protection frame three-dimensional model according to received acceleration information and vibration signals, the acceleration information is three-dimensional acceleration data collected by a three-axis acceleration sensor, a stress direction is extracted according to the three-dimensional acceleration data, vibration signals are used for extracting amplitude, stress analysis is carried out through the extracted stress direction and amplitude, whether an analysis result exceeds a preset threshold value or not is judged, and when the analysis result exceeds the preset threshold value, alarm information is issued.
10. The method for monitoring the state of the railway bridge and culvert height limiting protection frame according to claim 7, wherein the step of extracting the vehicle information from the image information comprises the step of extracting the license plate number and the vehicle body color from the shot picture by using a neural network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110325393.3A CN113125133A (en) | 2021-03-26 | 2021-03-26 | System and method for monitoring state of railway bridge and culvert height limiting protection frame |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110325393.3A CN113125133A (en) | 2021-03-26 | 2021-03-26 | System and method for monitoring state of railway bridge and culvert height limiting protection frame |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113125133A true CN113125133A (en) | 2021-07-16 |
Family
ID=76774197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110325393.3A Pending CN113125133A (en) | 2021-03-26 | 2021-03-26 | System and method for monitoring state of railway bridge and culvert height limiting protection frame |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113125133A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115825994A (en) * | 2022-11-22 | 2023-03-21 | 国网甘肃省电力公司天水供电公司 | Power transmission and transformation maintenance dynamic height limit management and control device and system based on Beidou system |
| CN116564067A (en) * | 2023-07-11 | 2023-08-08 | 西安航空学院 | Highway state early warning system based on wisdom gathers materials technique |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102930692A (en) * | 2012-11-23 | 2013-02-13 | 朱海涛 | Method for mounting and applying road, bridge and tunnel safety comprehensive detection, monitoring and early warning device |
| JP2015036661A (en) * | 2013-08-15 | 2015-02-23 | 中日本ハイウェイ・エンジニアリング名古屋株式会社 | Soundness evaluation method and soundness evaluation device for guard fence support post |
| CN204856817U (en) * | 2015-05-08 | 2015-12-09 | 浙江金温铁道开发有限公司 | Bridge limit for height protection frame real time monitoring and alarm system |
| CN205983741U (en) * | 2016-08-05 | 2017-02-22 | 上海浦公节能环保科技有限公司 | Protection frame monitoring devices and system |
| CN207517169U (en) * | 2017-12-15 | 2018-06-19 | 常州同强电子科技有限公司 | Height-limiting frame is hit automatic warning device |
| CN109025225A (en) * | 2018-09-26 | 2018-12-18 | 国家电网公司 | A kind of slope retaining mobile device |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | A kind of vehicle collision accident wisdom monitor supervision platform and method based on car networking |
| CN210039060U (en) * | 2019-07-15 | 2020-02-07 | 中铁二院工程集团有限责任公司 | Railway pillar anti-collision monitoring system |
| CN111735444A (en) * | 2020-06-23 | 2020-10-02 | 南京睿敏交通科技有限公司 | Intelligent collision avoidance facility collision event sensing method, device and system |
| CN112406960A (en) * | 2020-11-08 | 2021-02-26 | 青岛融创信为技术有限公司 | Active anti-collision system and method for fusion of multiple sensors for subway |
| CN112419686A (en) * | 2020-12-14 | 2021-02-26 | 中科蓝卓(北京)信息科技有限公司 | Multistage judgment alarm and event recording system for bridge impact detection |
-
2021
- 2021-03-26 CN CN202110325393.3A patent/CN113125133A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102930692A (en) * | 2012-11-23 | 2013-02-13 | 朱海涛 | Method for mounting and applying road, bridge and tunnel safety comprehensive detection, monitoring and early warning device |
| JP2015036661A (en) * | 2013-08-15 | 2015-02-23 | 中日本ハイウェイ・エンジニアリング名古屋株式会社 | Soundness evaluation method and soundness evaluation device for guard fence support post |
| CN204856817U (en) * | 2015-05-08 | 2015-12-09 | 浙江金温铁道开发有限公司 | Bridge limit for height protection frame real time monitoring and alarm system |
| CN205983741U (en) * | 2016-08-05 | 2017-02-22 | 上海浦公节能环保科技有限公司 | Protection frame monitoring devices and system |
| CN207517169U (en) * | 2017-12-15 | 2018-06-19 | 常州同强电子科技有限公司 | Height-limiting frame is hit automatic warning device |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | A kind of vehicle collision accident wisdom monitor supervision platform and method based on car networking |
| CN109025225A (en) * | 2018-09-26 | 2018-12-18 | 国家电网公司 | A kind of slope retaining mobile device |
| CN210039060U (en) * | 2019-07-15 | 2020-02-07 | 中铁二院工程集团有限责任公司 | Railway pillar anti-collision monitoring system |
| CN111735444A (en) * | 2020-06-23 | 2020-10-02 | 南京睿敏交通科技有限公司 | Intelligent collision avoidance facility collision event sensing method, device and system |
| CN112406960A (en) * | 2020-11-08 | 2021-02-26 | 青岛融创信为技术有限公司 | Active anti-collision system and method for fusion of multiple sensors for subway |
| CN112419686A (en) * | 2020-12-14 | 2021-02-26 | 中科蓝卓(北京)信息科技有限公司 | Multistage judgment alarm and event recording system for bridge impact detection |
Non-Patent Citations (1)
| Title |
|---|
| 王勤: "高速公路防护栏碰撞仿真和智能自动报警系统设计", 《上海建设科技》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115825994A (en) * | 2022-11-22 | 2023-03-21 | 国网甘肃省电力公司天水供电公司 | Power transmission and transformation maintenance dynamic height limit management and control device and system based on Beidou system |
| CN115825994B (en) * | 2022-11-22 | 2023-08-04 | 国网甘肃省电力公司天水供电公司 | Dynamic height limiting control device and system in power transmission and transformation overhaul scene based on Beidou system |
| CN116564067A (en) * | 2023-07-11 | 2023-08-08 | 西安航空学院 | Highway state early warning system based on wisdom gathers materials technique |
| CN116564067B (en) * | 2023-07-11 | 2023-09-26 | 西安航空学院 | Highway state early warning system based on wisdom gathers materials technique |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105809679B (en) | Mountain railway side slope rockfall detection method based on visual analysis | |
| CN110164130B (en) | Traffic incident detection method, device, equipment and storage medium | |
| CN102254429B (en) | Video identification-based detection method of detection device of violation vehicles | |
| CN109345829B (en) | Unmanned vehicle monitoring method, device, equipment and storage medium | |
| CN110136447A (en) | Lane change of driving a vehicle detects and method for distinguishing is known in illegal lane change | |
| CN204856896U (en) | Radar traffic incident automatic check out system | |
| CN104282154B (en) | A kind of overload of vehicle monitoring system and method | |
| CN111833598B (en) | Automatic traffic incident monitoring method and system for unmanned aerial vehicle on highway | |
| US11361556B2 (en) | Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and storage medium for storing program | |
| CN113676702B (en) | Video stream-based target tracking and monitoring method, system, device and storage medium | |
| CN113125133A (en) | System and method for monitoring state of railway bridge and culvert height limiting protection frame | |
| CN107067730B (en) | Network appointment vehicle-man-vehicle inconsistency monitoring method based on bayonet equipment | |
| CN102142193A (en) | Automatic detection system and method for illegal traffic behaviors | |
| CN107644206A (en) | A kind of road abnormal behaviour action detection device | |
| CN104318769A (en) | Violation vehicle monitoring and alarming system and method | |
| CN103000029B (en) | Automobile video frequency recognition methods and application thereof | |
| CN203759874U (en) | Traffic violation information collection system with video enhancement effect | |
| CN110288838A (en) | Electric bicycle makes a dash across the red light identifying system and method | |
| CN103456168A (en) | System and method for monitoring behaviors of pedestrians at traffic intersection | |
| CN113484858A (en) | Intrusion detection method and system | |
| Xie et al. | Development of a comprehensive framework for video-based safety assessment | |
| CN110780356A (en) | Subway platform clearance foreign matter detecting system | |
| CN110691224A (en) | Transformer substation perimeter video intelligent detection system | |
| CN112749630A (en) | Intelligent video monitoring method and system for road conditions | |
| CN114758297A (en) | Traffic incident detection method and system based on fusion of radar and video |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210716 |