CN111445726A - Bridge anti-collision early warning system and method based on distributed video monitoring - Google Patents
Bridge anti-collision early warning system and method based on distributed video monitoring Download PDFInfo
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- CN111445726A CN111445726A CN202010367192.5A CN202010367192A CN111445726A CN 111445726 A CN111445726 A CN 111445726A CN 202010367192 A CN202010367192 A CN 202010367192A CN 111445726 A CN111445726 A CN 111445726A
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- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
- G08G3/02—Anti-collision systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/78—Television signal recording using magnetic recording
- H04N5/781—Television signal recording using magnetic recording on disks or drums
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- 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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses a bridge anti-collision early warning system and method based on distributed video monitoring. The system comprises a field device comprising a video identification unit group and a warning module, wherein the video identification unit group is used for receiving video signals, analyzing the video signals to obtain video signal analysis results and transmitting the results to a monitoring center; the warning module is used for receiving an alarm instruction of the monitoring center and sending an alarm signal according to the alarm instruction; the monitoring center is in communication connection with the field device and is used for receiving data transmitted by the field device, analyzing, displaying and storing the data and sending an alarm instruction to the field device based on the data analysis condition; the emergency center is in communication connection with the monitoring center, and when the monitoring center sends an alarm instruction to the field device, the monitoring center simultaneously sends prompt information to related personnel of the emergency center. The system provided by the invention has strong adaptability and comprehensive functions and can independently realize the anti-collision early warning function of the bridge.
Description
Technical Field
The invention relates to the technical field of navigation safety monitoring, in particular to a bridge anti-collision early warning system and method based on distributed video monitoring.
Background
With the continuous increase of economy and the increasing demand on traffic facilities, the number of bridges in China is continuously increased, and the construction of large bridges can greatly relieve traffic pressure and promote land traffic. The increased number of bridges also introduces new problems. For ships in waterway traffic, bridges are artificial obstacles for water to pass through. When a ship sails under a bridge, the danger of collision with a pier or a bridge span structure exists, so that the safety of the bridge and the ship is threatened, and the normal operation of channel and land traffic is threatened. The ship collision accident can cause great influence on the safe transportation of bridges and highways, the life and property of people and the development of social economy.
At present, most of the existing bridge anti-collision video monitoring and early warning systems adopt a motion-based target detection method, are poor in stability and lack of intelligence, are difficult to adapt to all-weather monitoring requirements, and are only limited to play a role of an electronic fence. In actual use, the existing bridge collision avoidance video monitoring and early warning system can only be used as an auxiliary of other systems such as VTS.
Therefore, for the technical problem that the bridge anti-collision video monitoring and early warning system in the prior art cannot independently realize the bridge anti-collision early warning function, it is necessary to provide a system and a method for bridge anti-collision early warning based on distributed video monitoring, which have strong adaptability and comprehensive functions and can independently realize the bridge anti-collision early warning function.
Disclosure of Invention
Aiming at the technical problem that the bridge anti-collision video monitoring and early warning system cannot independently realize the bridge anti-collision early warning function in the prior art, the embodiment of the invention provides a distributed video monitoring-based bridge anti-collision early warning system and method which have strong adaptability and comprehensive functions and can independently realize the bridge anti-collision early warning function. The system can acquire monitoring video signals of a bridge area in an all-around manner by arranging the video identification unit groups in a distributed manner, and realizes the function of bridge collision avoidance and early warning only based on a video system by the trinity cooperation of the field device, the monitoring center and the emergency center.
In order to achieve the above object, an embodiment of the present invention provides the following technical solutions: a bridge anti-collision early warning system based on distributed video monitoring comprises: the field device comprises a video identification unit group and an alarm module; the video identification unit group is used for receiving video signals, analyzing the video signals to obtain video signal analysis results and transmitting the video signal analysis results to a monitoring center; the warning module is used for receiving an alarm instruction of the monitoring center and sending an alarm signal according to the alarm instruction; the monitoring center comprises a data communication server, a monitoring client server and a database server; the monitoring center is in communication connection with the field device and is used for receiving data transmitted by the field device, analyzing, displaying and storing the data and sending an alarm instruction to the field device based on the data analysis condition; the emergency center is in communication connection with the monitoring center; when the monitoring center sends an alarm instruction to the field device, the monitoring center simultaneously sends prompt information to related personnel of the emergency center to prompt the related personnel to organize rescue.
As a further improvement of the present invention, the group of video identification units comprises a plurality of video identification units distributed at different locations.
As a further improvement of the present invention, the video recognition unit includes a video camera, a hard disk recorder, an embedded AI platform and a cellular mobile communication transmission unit, the video camera is used for acquiring and recognizing video signals, the hard disk recorder is used for recording and storing video signals, the embedded AI platform is used for analyzing video signals and obtaining video signal analysis results, and the cellular mobile communication signal transmission unit is used for transmitting the video signal analysis results to the monitoring center in real time.
As a further improvement of the invention, the video camera is respectively called a track monitoring unit, an ultrahigh early warning unit and an accident evidence obtaining unit according to different distribution places.
As a further improvement of the invention, the track monitoring unit is arranged on the river bank within 2km to 3km away from the bridge and is used for acquiring real-time video images in a corresponding monitoring range, realizing ship identification and track tracking through the analysis and processing of the embedded AI platform, and transmitting an identification result and track data back to the monitoring center in real time through the cellular mobile communication signal transmission unit; the ultrahigh early warning unit is arranged at a position point which is 1.5km to 3km away from the bridge and is used for acquiring the sight-seeing directions of two sides to acquire a real-time monitoring image of a ship driving into a height measurement area, identifying the height and the length of the ship through the analysis and the processing of the embedded AI platform and transmitting an identification result back to the monitoring center in real time through the cellular mobile communication signal transmission unit; the accident evidence obtaining unit is arranged on a river bank 200-500 m away from the bridge and used for monitoring the area under the bridge and near a bridge pier, the behavior that a ship breaks into a forbidden zone and impacts the bridge is identified through analysis and processing of the embedded AI platform, after an accident occurs, the time point of the accident occurrence is recorded, and monitoring videos in the time point are automatically transmitted back to the monitoring center through the cellular mobile communication signal transmission unit.
As a further improvement of the present invention, the warning module includes one or more of a sound warning unit, an image warning unit, or a light warning unit.
As a further improvement of the present invention, the data communication server receives the video signal analysis result of the video identification unit in the field device in real time and issues the early warning information to the emergency center and the field device through the communication network, and the data communication server is used for retrieving the real-time monitoring picture and the review video of the video identification unit in the field device according to the command of the monitoring client server;
as a further improvement of the present invention, the monitoring client server obtains the video signal analysis results returned by each video identification unit in the field device in real time through the data communication server, performs data fusion on the video signal analysis results, performs comprehensive analysis to judge whether the video signal analysis results meet the danger early warning condition, and displays the judgment results on the corresponding display screen in real time; the monitoring client server can call the real-time picture and the video playback of the field device according to the requirements of related personnel, display the real-time picture and the video playback on the corresponding display screen, and automatically pop up a warning picture when judging that the danger early warning condition is met; and the monitoring client server stores the monitoring data to the database server and calls the monitoring data in real time according to the requirements of related personnel.
As a further improvement of the present invention, the database server is configured to store monitoring data of the monitoring client server.
The embodiment of the invention also provides a video-based bridge anti-collision early warning method, which comprises the following steps: the method comprises the steps that a field device collects video signals of a bridge area, analyzes the video signals to obtain video signal analysis results, and transmits the video signals and the video signal analysis results to a monitoring center; the monitoring center receives the video signal and the video signal analysis result, and analyzes the received content by combining a data fusion algorithm, thereby judging whether the video signal and the video signal analysis result meet the danger early warning condition; if the danger early warning condition is met, the monitoring center sends an alarm instruction to a field device, and the field device sends an alarm signal after receiving the alarm instruction; and if the danger early warning condition is met, the monitoring center sends prompt information to related personnel of the emergency center to prompt the related personnel to organize rescue.
The invention has the following advantages:
according to the bridge anti-collision early warning system and method based on distributed video monitoring, provided by the embodiment of the invention, the monitoring video signals of the bridge area can be obtained in an all-around manner by arranging the video identification unit groups in a distributed manner, the functions of track monitoring, electronic fence, ultrahigh early warning, accident evidence obtaining and the like can be realized at the same time, and various requirements of active bridge anti-collision are met comprehensively. Further, the bridge anti-collision early warning system based on distributed video monitoring provided by the embodiment of the invention realizes the function of bridge anti-collision early warning based on the video system only by the three-in-one cooperation of the field device, the monitoring center and the emergency center. Further, the bridge anti-collision early warning system and method based on distributed video monitoring provided by the embodiment of the invention integrate video acquisition, analysis and communication into the video identification unit, and the system can conveniently increase and reduce the number of the video identification units according to different scenes and requirements through unitization and distribution, so that the distribution positions of the video identification units can be flexibly adjusted. Further, the bridge anti-collision early warning system based on distributed video monitoring provided by the embodiment of the invention can store ship behaviors in a database, and provide a data basis for later accident evidence obtaining, behavior analysis and high-risk ship identity confirmation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic topology diagram of a bridge anti-collision early warning system based on distributed video monitoring according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the classification and distribution of video identification units according to the embodiment shown in FIG. 1;
FIG. 3 is a schematic diagram of the embodiment of FIG. 1 illustrating track monitoring and electronic fence in a real-world scene;
FIG. 4 is a schematic diagram of the ship height identification and the ultra-high warning in a real scene according to the embodiment shown in FIG. 1;
fig. 5 is a schematic flow chart of a bridge collision avoidance early warning method based on distributed video monitoring according to an embodiment of the present invention.
Description of the reference symbols in the drawings:
100. bridge anti-collision early warning system based on distributed video monitoring
10. The field device 11, the video identification unit 16 and the warning module
20. Monitoring center 30, emergency center 111 and video camera
112. Hard disk video recorder 113, embedded AI platform 114, cellular mobile communication transmission unit
21. Data communication server 23, database server 25, monitoring client server
251. Display screen
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all 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 invention.
As shown in fig. 1, a topological schematic diagram of a bridge anti-collision warning system based on distributed video monitoring in a first embodiment is shown. A bridge collision avoidance early warning system 100 based on distributed video monitoring comprises a field device 10, a monitoring center 20 and an emergency center 30. The field device 10, the monitoring center 20 and the emergency center 30 are connected through the internet communication technology, so that a three-dimensional integrated distributed video monitoring bridge anti-collision early warning system is realized.
The field devices 10 are located in the area of the monitored bridge and include a video recognition unit cluster and an alert module 16. The video identification unit group comprises a plurality of video identification units 11 distributed at different positions, and is configured to receive a video signal, analyze the video signal to obtain a video signal analysis result, and transmit the video signal analysis result to the monitoring center 20. The video recognition unit 10 includes a video camera 111, a hard disk recorder 112, an embedded AI platform 113, and a cellular mobile communication transmission unit 114.
The video camera 111 is used for acquiring and identifying video signals for monitoring the bridge area. With continued reference to fig. 2 to 4, the video cameras 111 are respectively called a track monitoring unit, an over-height warning unit and an accident evidence obtaining unit according to the distribution locations. The track monitoring unit needs to be capable of viewing the position of the bridge, the trend of a river channel and the distribution of blind areas, so that the track monitoring unit is installed on a river bank within 2km to 3km away from the bridge and used for acquiring real-time video images within a corresponding monitoring range. The video signal obtained by the track monitoring unit is analyzed and processed by the embedded AI platform 113 to realize the ship identification and track tracking, and the identification result and the track data are transmitted back to the monitoring center 20 in real time by the cellular mobile communication signal transmission unit 114. The ultrahigh early warning unit is arranged at a position point which is 1.5km to 3km away from the bridge, is perpendicular to the trend of the channel, and is used for acquiring the sight-seeing directions of two sides to acquire a real-time monitoring image of a ship driving into a height measurement area. The video signal obtained by the ultra-high early warning unit is analyzed and processed by the embedded AI platform 113, the height and the length of the ship are identified, and the identification result is transmitted back to the monitoring center 20 in real time through the cellular mobile communication signal transmission unit 114. The accident evidence obtaining unit is arranged on a river bank which is 200m to 500m away from the bridge and is used for monitoring the area under the bridge and near the bridge piers. The video signals obtained by the accident evidence obtaining unit are analyzed and processed by the embedded AI platform 113 to identify the behavior that the ship only breaks into the forbidden zone and impacts the bridge, after the accident occurs, the accident occurrence time point is recorded, and the monitoring video in the time point is automatically transmitted back to the monitoring center through the cellular mobile communication signal transmission unit 114.
Different distribution places may be provided with independent video recognition units 10, or only one independent video camera 111 may be provided. When the independent video identification units 10 are distributed and arranged at different distribution places, the same distribution place respectively comprises a video camera 111, a hard disk video recorder 112, an embedded AI platform 113 and a cellular mobile communication transmission unit 114; when only one independent video camera 111 is separately provided at different distribution sites, the hard disk video recorder 112, the embedded AI platform 113 and the cellular mobile communication transmission unit 114 are shared by a plurality of video cameras 111 distributed at different sites.
The hard disk recorder 112 is used to realize recording and storage of video signals. The embedded AI platform 113 is used to implement analysis of the video signal and obtain a video signal analysis result. The cellular mobile communication signal transmission unit 114 is used for transmitting the video signal analysis result to the monitoring center in real time. In an embodiment, in order to adapt to the fast real-time data transmission, the cellular mobile communication transmission unit 114 may communicate in a 4G communication mode or a 5G communication mode. The cellular mobile communication transmission unit 114 includes an exchange and a base station of a nearby area.
The warning module 16 is configured to receive an alarm instruction from the monitoring center 20 and send an alarm signal according to the alarm instruction. The alarm module 16 includes one or more of an audio alarm unit, a video alarm unit, or a light alarm unit. The sound warning unit specifically comprises various audible forms such as loudspeaker shouting, siren sound and the like. The image warning unit specifically comprises various visual forms such as danger symbols, figures, characters and the like. The light warning unit specifically comprises a plurality of visual forms such as swinging or showing of a plurality of colors of light.
The monitoring center 20 includes a data communication server 21, a monitoring client server 25, and a database server 23. The monitoring center 20 is in communication connection with the field device 10, and the monitoring center 20 is configured to receive data transmitted by the field device 10, analyze, display, and store the data, and send an alarm command to the field device 10 based on the data analysis.
The data communication server 21 receives the video signal analysis result of the video recognition unit 11 in the field device 10 in real time through the communication network and issues the warning information to the emergency center 30 and the field device 10. The data communication server 21 is used for retrieving the real-time monitoring screen and the review video of the video recognition unit 11 in the field device 10 according to the command of the monitoring client server 25. The monitoring client server 25 obtains the video signal analysis results returned by the video recognition units 11 in the field device 10 in real time through the data communication server 21, performs data fusion on the video signal analysis results, performs comprehensive analysis to determine whether the video signal analysis results meet the danger early warning condition, and displays the determination results on the corresponding display screen 251 in real time. The monitoring client server 25 can call the real-time picture and the video playback of the field device according to the requirements of related personnel, display the real-time picture and the video playback on the corresponding display screen 251, and automatically pop up a warning picture when judging that the danger early warning condition is met. The monitoring client server 25 stores the monitoring data to the database server 23 and calls the monitoring data in real time according to the needs of the relevant personnel. The database server 23 is used for storing monitoring data of the monitoring client server 25.
The emergency center 30 is connected to the monitoring center 20 in a communication manner. When the monitoring center 20 sends an alarm instruction to the field device 10, the monitoring center 20 simultaneously sends prompt information to the relevant personnel of the emergency center 30 to prompt the relevant personnel to organize the rescue. The emergency centre 30 comprises in particular some social and administrative bodies, such as 110 police, government emergency centres, etc. The sending mode of the prompt message can be realized by various network connection means such as short message service, WeChat service and the like.
According to the bridge anti-collision early warning system and method based on distributed video monitoring, provided by the embodiment of the invention, the monitoring video signals of the bridge area can be obtained in an all-around manner by arranging the video identification unit groups in a distributed manner, the functions of track monitoring, electronic fence, ultrahigh early warning, accident evidence obtaining and the like can be realized at the same time, and various requirements of active bridge anti-collision are met comprehensively.
The bridge anti-collision early warning system based on distributed video monitoring provided by the embodiment of the invention realizes the function of bridge anti-collision early warning based on a video system only by the three-in-one cooperation of the field device, the monitoring center and the emergency center.
The bridge anti-collision early warning system and method based on distributed video monitoring provided by the embodiment of the invention integrate video acquisition, analysis and communication into the video identification unit, and the system can conveniently increase and decrease the number of the video identification units according to different scenes and requirements through unitization and distribution, and flexibly adjust the distribution positions of the video identification units.
The bridge anti-collision early warning system based on distributed video monitoring provided by the embodiment of the invention can store ship behaviors in the database and provide a data basis for later accident evidence obtaining, behavior analysis and high-risk ship identity confirmation.
As shown in fig. 5, an embodiment of the present invention further provides a method for bridge collision avoidance early warning based on distributed video monitoring. The bridge anti-collision early warning method based on distributed video monitoring comprises three steps, and the detailed content of each step is as follows.
Step S1: the method comprises the steps that a field device collects video signals of a bridge area, analyzes the video signals to obtain video signal analysis results, and transmits the video signals and the video signal analysis results to a monitoring center.
The method comprises the following specific steps:
step S11: the video camera shoots a real-time monitoring picture and stores the real-time monitoring picture in the hard disk video recorder;
step S12: and the embedded AI platform acquires and analyzes the real-time monitoring picture image. The analysis process of the track monitoring unit is as follows: detecting a ship target in a picture, carrying out space positioning, tracking a flight path of the ship target on a time sequence, and judging whether the target enters a forbidden zone or not; the analysis process of the ultrahigh early warning unit comprises the following steps: detecting a ship target in the picture, calculating the height and the length of the ship target, and judging whether the height of the ship target exceeds the navigation limit height of the bridge or not; the analysis process of the accident evidence obtaining unit is as follows: judging whether a collision event occurs in the current picture, and if so, recording the occurrence time;
step S13: and the analysis result is transmitted back to the monitoring center through a 4G/5G communication device, and the monitoring center comprises track information and intrusion information of a track detection unit, ship size information and ultrahigh information of an ultrahigh early warning unit, accident information and accident occurrence time information of an accident evidence obtaining unit and video before and after the accident occurs.
Step S2: the monitoring center receives the video signal and the video signal analysis result, and analyzes the received content by combining a data fusion algorithm, thereby judging whether the video signal and the video signal analysis result meet the danger early warning condition; and if the danger early warning condition is met, the monitoring center sends an alarm instruction to the field device, and the field device sends an alarm signal after receiving the alarm instruction.
The method comprises the following specific steps:
step S21: the data communication server receives information returned by the field device;
step S22: the monitoring client server acquires real-time track data and ship size data, performs data fusion, stores the data in the database server, and displays the data on a display screen of the client according to requirements;
step S23: the monitoring client side finds out dangerous events such as intrusion into a forbidden zone, overhigh ship and the like, calls real-time pictures of dangerous targets through the data communication server, pops up pictures on a display screen of the client side, and issues early warning instructions to warning modules in an emergency center and a field device.
Step S24: and an alarm module in the field device receives an alarm command of the monitoring center, and uses a loudspeaker, an alarm lamp and the like to call and warn.
Step S3: and if the danger early warning condition is met, the monitoring center sends prompt information to related personnel of the emergency center to prompt the related personnel to organize rescue. The monitoring center informs related personnel through alarm sound, webpage prompt, large-screen display, short message and the like, and the related personnel alarms to inform a rescue team.
Further, after an accident occurs, the monitoring center receives information returned by the accident evidence obtaining unit in the field device, stores the information in the database server and generates a log. Related personnel can call the real-time picture and the video playback of the field device in real time through the monitoring center according to the requirements.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. The utility model provides a bridge anticollision early warning system based on distributed video monitoring which characterized in that, the system includes:
the field device comprises a video identification unit group and an alarm module; the video identification unit group is used for receiving video signals, analyzing the video signals to obtain video signal analysis results and transmitting the video signal analysis results to a monitoring center; the warning module is used for receiving an alarm instruction of the monitoring center and sending an alarm signal according to the alarm instruction;
the monitoring center comprises a data communication server, a monitoring client server and a database server; the monitoring center is in communication connection with the field device and is used for receiving data transmitted by the field device, analyzing, displaying and storing the data and sending an alarm instruction to the field device based on the data analysis condition;
the emergency center is in communication connection with the monitoring center; when the monitoring center sends an alarm instruction to the field device, the monitoring center simultaneously sends prompt information to related personnel of the emergency center to prompt the related personnel to organize rescue.
2. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 1, wherein the video identification unit group comprises a plurality of video identification units distributed at different positions.
3. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 2, wherein the video recognition unit comprises a video camera, a hard disk video recorder, an embedded AI platform and a cellular mobile communication transmission unit, the video camera is used for realizing the acquisition and recognition of video signals, the hard disk video recorder is used for realizing the recording and storage of the video signals, the embedded AI platform is used for realizing the analysis of the video signals and obtaining the analysis results of the video signals, and the cellular mobile communication signal transmission unit is used for transmitting the analysis results of the video signals to the monitoring center in real time.
4. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 2, wherein the video cameras are respectively called as a track monitoring unit, an ultra-high early warning unit and an accident evidence obtaining unit according to different distributed places.
5. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 4, wherein the track monitoring unit is mounted on a river bank within 2km to 3km from the bridge and is used for acquiring real-time video images within a corresponding monitoring range, realizing ship identification and track tracking through analysis and processing of an embedded AI platform, and transmitting an identification result and track data back to a monitoring center in real time through a cellular mobile communication signal transmission unit; the ultrahigh early warning unit is arranged at a position point which is 1.5km to 3km away from the bridge and is used for acquiring the sight-seeing directions of two sides to acquire a real-time monitoring image of a ship driving into a height measurement area, identifying the height and the length of the ship through the analysis and the processing of the embedded AI platform and transmitting an identification result back to the monitoring center in real time through the cellular mobile communication signal transmission unit; the accident evidence obtaining unit is arranged on a river bank 200-500 m away from the bridge and used for monitoring the area under the bridge and near a bridge pier, the behavior that a ship breaks into a forbidden zone and impacts the bridge is identified through analysis and processing of the embedded AI platform, after an accident occurs, the time point of the accident occurrence is recorded, and monitoring videos in the time point are automatically transmitted back to the monitoring center through the cellular mobile communication signal transmission unit.
6. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 1, wherein the warning module comprises one or more of a sound warning unit, an image warning unit or a light warning unit.
7. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 1, wherein the data communication server receives the video signal analysis result of the video identification unit in the field device in real time through the communication network and issues the early warning information to the emergency center and the field device, and the data communication server is configured to retrieve the real-time monitoring picture and the review video of the video identification unit in the field device according to the command of the monitoring client server.
8. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 1, wherein the monitoring client server obtains video signal analysis results returned by each video recognition unit in the field device in real time through a data communication server, performs data fusion on the video signal analysis results, performs comprehensive analysis to judge whether danger early warning conditions are met, and displays the judgment results on corresponding display screens in real time; the monitoring client server can call the real-time picture and the video playback of the field device according to the requirements of related personnel, display the real-time picture and the video playback on the corresponding display screen, and automatically pop up a warning picture when judging that the danger early warning condition is met; and the monitoring client server stores the monitoring data to the database server and calls the monitoring data in real time according to the requirements of related personnel.
9. The bridge anti-collision early warning system based on distributed video monitoring as claimed in claim 1, wherein the database server is configured to store monitoring data of the monitoring client server.
10. A bridge anti-collision early warning method based on distributed video monitoring is characterized by comprising the following steps:
the method comprises the steps that a field device collects video signals of a bridge area, analyzes the video signals to obtain video signal analysis results, and transmits the video signals and the video signal analysis results to a monitoring center;
the monitoring center receives the video signal and the video signal analysis result, and analyzes the received content by combining a data fusion algorithm, thereby judging whether the video signal and the video signal analysis result meet the danger early warning condition; if the danger early warning condition is met, the monitoring center sends an alarm instruction to a field device, and the field device sends an alarm signal after receiving the alarm instruction;
and if the danger early warning condition is met, the monitoring center sends prompt information to related personnel of the emergency center to prompt the related personnel to organize rescue.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111986517A (en) * | 2020-08-26 | 2020-11-24 | 珠海大横琴科技发展有限公司 | Ship anomaly detection method and device and storage medium |
| CN112037582A (en) * | 2020-09-16 | 2020-12-04 | 浙江工业大学 | Cross-sea bridge ship collision early warning method based on risk prediction |
| CN114360259A (en) * | 2022-01-18 | 2022-04-15 | 中科蓝卓(北京)信息科技有限公司 | Bridge and culvert anti-collision early warning and alarming system |
| CN115083211A (en) * | 2022-06-30 | 2022-09-20 | 同济大学 | Distributed ship height detection system based on multi-view stereoscopic vision |
| 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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