CN112330930A - Urban tunnel traffic monitoring method, system and platform - Google Patents
Urban tunnel traffic monitoring method, system and platform Download PDFInfo
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- CN112330930A CN112330930A CN202010938187.5A CN202010938187A CN112330930A CN 112330930 A CN112330930 A CN 112330930A CN 202010938187 A CN202010938187 A CN 202010938187A CN 112330930 A CN112330930 A CN 112330930A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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Abstract
The application belongs to the technical field of tunnel inspection, and particularly relates to a method, a system and a platform for monitoring urban tunnel traffic. The method comprises the steps of determining the type of an accident according to image data acquired by the tunnel robot; determining an auxiliary solution of the tunnel robot according to the accident type, and controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors if the auxiliary solution is a traffic command and guarantee scheme; calling corresponding language information for prompting according to a preset accident or illegal behavior prompt table; if the tunnel emergency treatment scheme is adopted, identifying the road or tunnel body fault in the tunnel; and giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type. The traffic command guarantee and the tunnel emergency treatment are combined, so that traffic operation and urban emergency comprehensive analysis and treatment are realized, and the coordination among different departments is enhanced. Meanwhile, manpower can be released as much as possible, and accidents, disasters and hidden dangers can be found and early warned as early as possible.
Description
Technical Field
The application belongs to the technical field of tunnel inspection, and particularly relates to a method, a system and a platform for monitoring urban tunnel traffic.
Background
The intelligent tunnel inspection robot is an intelligent platform applied to on-line detection of underground tunnels. The robot independently moves in the tunnel, realizes functions such as tunnel cable body running state monitoring, cable tunnel internal environment monitoring, multisensor linkage in the cable tunnel, cable tunnel security protection, synthesizes promotion to pipeline operational environment perception and operating condition aassessment ability, promotes the convenience and the quick response ability of tunnel management.
At present, a fixed camera is adopted for monitoring daily operation conditions in traffic tunnel monitoring, emergency treatment monitoring equipment is not arranged in the tunnel, field personnel are required to give an alarm when an accident occurs, and related workers are required to conduct on-site command, so that a great time delay is generated in the process. When an accident occurs, people cannot be guaranteed to find the accident at the first time.
Disclosure of Invention
In order to solve at least one of the technical problems, the application provides a method, a system and a platform for urban tunnel traffic monitoring, which are used for comprehensively processing traffic and urban emergency and enhancing the coordination among the traffic and the urban emergency.
The application provides a method for monitoring urban tunnel traffic in a first aspect, which comprises the following steps:
determining accident types according to image data acquired by a tunnel robot, wherein the accident types comprise traffic accidents and tunnel accidents;
determining a tunnel robot auxiliary solution according to the accident type, wherein the traffic command and guarantee scheme is started if the accident type is a traffic accident, and the tunnel emergency treatment scheme is started if the accident type is a tunnel accident;
the traffic guidance and guarantee scheme comprises the following steps:
controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors;
calling corresponding language information for prompting according to a preset accident or illegal behavior prompt table;
the tunnel emergency treatment scheme comprises the following steps:
identifying the fault of a road or a tunnel body in the tunnel;
and giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type.
Preferably, the controlling of the tunnel robot to perform photographing monitoring of accident behavior includes:
controlling the tunnel robot to move to an accident site;
controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm;
and controlling the tunnel robot to start a remote audio/video connection traffic police processing center.
Preferably, the controlling of the tunnel robot to perform photographing monitoring of accident behavior includes:
and if the road surface congestion in the tunnel is monitored, the congestion information is sent to a variable information board at the entrance of the tunnel.
Preferably, the illegal activities comprise driving in the wrong direction, pressing a line, illegally parking, not fastening a safety belt, making a call on the way of driving and mistakenly walking an emergency lane.
Preferably, the identifying of the road or tunnel body fault occurring within the tunnel comprises:
carrying out image recognition on fire, flood, illegal personnel gathering, wandering and invasion phenomena occurring in the tunnel;
and carrying out damage identification on the tunnel wall and the ground facilities.
Preferably, the tunnel emergency processing scheme further includes:
monitoring the temperature, humidity, brightness and noise in the tunnel;
and controlling the lighting and ventilation equipment according to the monitoring data of the temperature, the humidity and the brightness.
The second aspect of the present application provides an urban tunnel traffic monitoring system, including:
the accident type determining module is used for determining the accident type according to the image data acquired by the tunnel robot, wherein the accident type comprises a traffic accident and a tunnel accident;
the guarantee scheme selection module is used for determining a tunnel robot auxiliary solution according to the accident type, and comprises the steps of starting a traffic command and guarantee scheme through the traffic command and guarantee module if the accident type is a traffic accident, and starting a tunnel emergency treatment scheme through the tunnel emergency treatment module if the accident type is a tunnel accident;
the traffic guidance support module comprises:
the photographing monitoring unit is used for controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors;
the language prompting unit is used for calling corresponding language information to prompt according to a preset accident or illegal behavior prompting list;
the tunnel emergency processing module comprises:
the fault type identification unit is used for identifying the fault of the road or the tunnel body in the tunnel;
and the alarm unit is used for giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type.
Preferably, the controlling the photographing monitoring unit includes:
the tunnel robot moving unit is used for controlling the tunnel robot to move to an accident site;
the photo extraction unit is used for controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm;
and the audio and video connecting unit is used for controlling the tunnel robot to start the remote audio and video connecting traffic police processing center.
In a third aspect of the present application, an urban tunnel traffic monitoring platform includes a plurality of urban tunnel traffic monitoring systems as described above, and a console connected to the plurality of urban tunnel traffic monitoring systems;
the control console manages a plurality of node members for picture analysis by adopting a HASEN container cloud technology, and adjusts IPC loaded to each node member according to the load of each node member.
Preferably, the urban tunnel traffic monitoring platform is provided with a tunnel adjusting interface for receiving parameter settings of a user on the temperature, the humidity and the gas content of the tunnel and controlling the temperature, the humidity and the gas content of the tunnel, wherein the temperature, the humidity and the gas content in the tunnel are uploaded to the urban tunnel traffic monitoring platform through a sensor.
This application has constructed a wisdom tunnel traffic monitoring platform, through combining together traffic guidance guarantee and tunnel emergency treatment for traffic operation and the emergent comprehensive analysis in city handle, strengthen the harmony between different departments. Meanwhile, manpower can be released as much as possible, and accidents, disasters and hidden dangers can be found and early warned as early as possible.
Drawings
Fig. 1 is a flow chart of the urban tunnel traffic monitoring method of the present application.
FIG. 2 is an architectural diagram of the urban tunnel traffic monitoring platform of the present application
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all embodiments of the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application, and should not be construed as limiting the present application. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application. Embodiments of the present application will be described in detail below with reference to the drawings.
The application provides a traffic tunnel wisdom solution to analysis platform is the core, and traffic guidance guarantee, two major function module in tunnel emergency treatment are the frame, and the running condition of the whole environment in real time monitoring tunnel and traffic carries out the high-speed reaction and carries out early simple processing to the accident, carries out the early warning to the hidden danger that probably takes place, carries out big data processing to the data of gathering in the tunnel, makes the preparation of earlier stage for the demand of follow-up other work.
The first aspect of the present application provides a method for monitoring urban tunnel traffic, as shown in fig. 1, mainly including:
step S1, determining accident types according to image data acquired by the tunnel robot, wherein the accident types comprise traffic accidents and tunnel accidents;
step S2, determining a tunnel robot auxiliary solution according to the accident type, wherein the method comprises the steps of starting a traffic command guarantee solution if the accident type is a traffic accident, and starting a tunnel emergency treatment solution if the accident type is a tunnel accident;
the traffic guidance and guarantee scheme comprises the following steps:
step S201, controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors;
step S202, calling corresponding language information for prompting according to a preset accident or illegal behavior prompt table;
the tunnel emergency treatment scheme comprises the following steps:
s211, identifying faults of a road or a tunnel body in the tunnel;
and step S212, giving out corresponding voice prompt and sending out alarm signals according to the identified fault type.
In some optional embodiments, controlling the tunnel robot to perform the photographing monitoring of the accident behavior comprises: controlling the tunnel robot to move to an accident site; controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm; and controlling the tunnel robot to start a remote audio/video connection traffic police processing center.
In the embodiment, after a traffic accident occurs, the robot moves to the accident site quickly, and multi-angle photographing and evidence obtaining are carried out on the accident site by utilizing the flexible rotation of the mechanical arm; meanwhile, the robot inquires whether major casualties occur or not and whether major potential safety hazards are in urgent need to be solved or not from accident parties by using an intelligent ai voice function; and starting a remote audio and video connection line, and carrying out simple communication between the traffic police and the party to process simple matters.
In some optional embodiments, controlling the tunnel robot to perform the photographing monitoring of the accident behavior comprises: and if the road surface congestion in the tunnel is monitored, the congestion information is sent to a variable information board at the entrance of the tunnel.
In this embodiment, when a road surface is congested, after the robot recognizes the congestion, congestion information is displayed on the variable information panel entering the tunnel, and the robot prompts the vehicles inside and outside the tunnel to decelerate and crawl by voice.
In some optional embodiments, the illegal activity comprises driving in the wrong direction, pressing a line, illegally parking, unbelting a seat belt, making a call while driving, and mistakenly walking an emergency lane. The robot is at the tour in-process, carries out real-time supervision to the vehicle that passes through, shoots to the action of the above-mentioned violation of law and collecting evidence to carry out pronunciation warning to it, accomplish safe driving.
In addition, the background processes the data collected by the camera, and data storage is made for other work functions in the future.
In some optional embodiments, identifying a road or tunnel body fault occurring within the tunnel comprises: carrying out image recognition on fire, flood, illegal personnel gathering, wandering and invasion phenomena occurring in the tunnel; and carrying out damage identification on the tunnel wall and the ground facilities.
In the embodiment, three monitoring processes are mainly included, namely monitoring process of emergency conditions, alarming for phenomena of fire, flood, illegal personnel gathering, wandering, invasion and the like in a tunnel, and timely evacuation process is performed through AI and remote audio and video functions. Secondly, monitoring and processing the tunnel body, namely regularly inspecting the tunnel body, and when various unstable conditions such as slight deformation and the like exist in partial areas inside the tunnel, analyzing the acquired signals by a sensor and then reaching a background, and sending a warning by a background system in a visual interface; regularly patrolling and examining each equipment in the tunnel to patrol and examine the record and upload to the system, and monitor the analysis to tunnel wall, when discovering that there is the exfoliation or having obvious graffiti or having the water seepage sign, can upload the information. Thirdly, monitoring and processing the road surface, wherein the monitoring and processing include analyzing whether the slope surface at the periphery of the tunnel has a sign of loose landslide or not, and if the dangerous condition of landslide is easy to occur, reminding workers to process at the background in advance; detecting the behavior of the left suspicious object in the monitoring area and generating an alarm according with the behavior of the left suspicious object; and detecting the road surface, analyzing the shot picture by background analysis, and giving out a prompt on a visual interface if the place is hollow and uneven.
In some optional embodiments, the tunnel emergency handling scheme further comprises: monitoring the temperature, humidity, brightness and noise in the tunnel; and controlling the lighting and ventilation equipment according to the monitoring data of the temperature, the humidity and the brightness.
The second aspect of the present application provides an urban tunnel traffic monitoring system corresponding to the above method, which mainly includes:
the accident type determining module is used for determining the accident type according to the image data acquired by the tunnel robot, wherein the accident type comprises a traffic accident and a tunnel accident;
the guarantee scheme selection module is used for determining a tunnel robot auxiliary solution according to the accident type, and comprises the steps of starting a traffic command and guarantee scheme through the traffic command and guarantee module if the accident type is a traffic accident, and starting a tunnel emergency treatment scheme through the tunnel emergency treatment module if the accident type is a tunnel accident;
the traffic guidance support module comprises: the photographing monitoring unit is used for controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors; the language prompting unit is used for calling corresponding language information to prompt according to a preset accident or illegal behavior prompting list;
the tunnel emergency processing module comprises: the fault type identification unit is used for identifying the fault of the road or the tunnel body in the tunnel; and the alarm unit is used for giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type.
In some optional embodiments, controlling the photograph monitoring unit comprises:
the tunnel robot moving unit is used for controlling the tunnel robot to move to an accident site; the photo extraction unit is used for controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm; and the audio and video connecting unit is used for controlling the tunnel robot to start the remote audio and video connecting traffic police processing center.
A third aspect of the present application provides an urban tunnel traffic monitoring platform, as shown in fig. 2, which includes a plurality of urban tunnel traffic monitoring systems as described above, and a console connected to the plurality of urban tunnel traffic monitoring systems;
the control console manages a plurality of node members for picture analysis by adopting a HASEN container cloud technology, and adjusts IPC loaded to each node member according to the load of each node member.
In some optional embodiments, the urban tunnel traffic monitoring platform is provided with a tunnel adjusting interface for receiving parameter settings of a user on tunnel temperature, humidity and gas content and controlling the temperature, humidity and gas content of the tunnel, wherein the temperature, humidity and gas content in the tunnel are uploaded to the urban tunnel traffic monitoring platform through a sensor.
In this embodiment, the analysis platform manages the physical device through the HASEN container cloud technology, provides a high-efficient open resource environment, and supports various services of the video cloud. The management of the small-scale cluster is efficient, the utilization efficiency of the memory and the bandwidth is improved, the management can be performed through a simple command line, various resource scheduling strategies can be provided, and resource over-sale, priority preemption, dynamic adjustment of application resources and the like are supported; in addition, the container units are mutually independent and managed by a uniform arrangement tool, and the elastic expansion of the container can be completed in a short time.
The analysis platform supports the functions of presetting a navigation track of a robot, carrying out event video recording and timing video recording on the site, carrying out dynamic and static face searching and the like on the human face, does not need manual planning in advance in the aspect of operation expansion, can analyze a network architecture by a cluster management analysis node, and supports the dynamic addition or reduction of analysis node members of a system when the storage capacity and the number of storage devices change. And loading the newly-added IPC to a proper analysis node. The cloud cluster supports dynamic adjustment of which node the IPC is loaded to according to the load on each cloud node in the cluster, so that load balance of each cloud node in the cluster is guaranteed, the cluster members are prevented from causing faults due to overlarge equipment load, and the reliability of the system is improved. When a plurality of devices in the cluster have faults, the IPC load on the fault analysis node is shared to other analysis nodes, and after the faults of the analysis nodes are recovered, partial services on other analysis node devices are supported to be shared to the analysis nodes.
The analysis platform also plays data through a display, and mainly comprises panoramic display and interaction functions. In the aspect of panorama display, a remote real-time roaming tunnel site is used, and the three-dimensional panorama is obtained through the correction treatment of a panorama player, so that a three-dimensional space feeling is given to a visitor as if the visitor is in the three-dimensional panorama. The streaming server is used as a transfer station to forward the video stream, low bandwidth dependence and low delay are guaranteed, and therefore the experience of remotely accessing the tunnel through the panorama of the computer terminal is guaranteed. The interactive function mainly means that on one hand, the system uses the augmented reality technology to project the data collected by the robot and the data analyzed by the analysis system onto a main screen of the road control center, wherein the data comprises basic information such as road names, lengths, widths, heights, congestion conditions and the like, and the running conditions of vehicles in the tunnel. The temperature and humidity and the content of various gases in the tunnel are uploaded to the system through the sensor, on the other hand, the options of the temperature and humidity and various gases are arranged on one side of the screen, the temperature and humidity or the content of various gases at the moment can be adjusted by clicking a certain option, and the parameters in the past period are also included.
The application has the following advantages:
1. the robot carries out the work of traffic monitoring and commanding, releases manpower
2. When a dangerous accident occurs, the robot can replace a person to dredge, and the personal safety of traffic police is guaranteed
3. The traffic command and the emergency treatment are combined to form a unified whole
4. The lightweight cloud scheme can guarantee the stability of monitoring and analyzing of each tunnel to the greatest extent.
5. The intelligent patrol increases the reaction speed of accident occurrence.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for monitoring urban tunnel traffic is characterized by comprising the following steps:
determining accident types according to image data acquired by a tunnel robot, wherein the accident types comprise traffic accidents and tunnel accidents;
determining a tunnel robot auxiliary solution according to the accident type, wherein the traffic command and guarantee scheme is started if the accident type is a traffic accident, and the tunnel emergency treatment scheme is started if the accident type is a tunnel accident;
the traffic guidance and guarantee scheme comprises the following steps:
controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors;
calling corresponding language information for prompting according to a preset accident or illegal behavior prompt table;
the tunnel emergency treatment scheme comprises the following steps:
identifying the fault of a road or a tunnel body in the tunnel;
and giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type.
2. The urban tunnel traffic monitoring method according to claim 1, wherein controlling the tunnel robot to perform the photographing monitoring of the accident behavior comprises:
controlling the tunnel robot to move to an accident site;
controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm;
and controlling the tunnel robot to start a remote audio/video connection traffic police processing center.
3. The urban tunnel traffic monitoring method according to claim 1, wherein controlling the tunnel robot to perform the photographing monitoring of the accident behavior comprises:
and if the road surface congestion in the tunnel is monitored, the congestion information is sent to a variable information board at the entrance of the tunnel.
4. The urban tunnel traffic monitoring method according to claim 1, wherein the illegal action comprises a retrograde motion, a line pressing, an illegal parking, no safety belt fastening, a call on the way of driving, and a wrong-way emergency lane.
5. The urban tunnel traffic monitoring method according to claim 1, wherein identifying a road or tunnel body fault occurring within a tunnel comprises:
carrying out image recognition on fire, flood, illegal personnel gathering, wandering and invasion phenomena occurring in the tunnel;
and carrying out damage identification on the tunnel wall and the ground facilities.
6. The urban tunnel traffic monitoring method according to claim 1, wherein the tunnel emergency treatment scheme further comprises:
monitoring the temperature, humidity, brightness and noise in the tunnel;
and controlling the lighting and ventilation equipment according to the monitoring data of the temperature, the humidity and the brightness.
7. An urban tunnel traffic monitoring system, comprising:
the accident type determining module is used for determining the accident type according to the image data acquired by the tunnel robot, wherein the accident type comprises a traffic accident and a tunnel accident;
the guarantee scheme selection module is used for determining a tunnel robot auxiliary solution according to the accident type, and comprises the steps of starting a traffic command and guarantee scheme through the traffic command and guarantee module if the accident type is a traffic accident, and starting a tunnel emergency treatment scheme through the tunnel emergency treatment module if the accident type is a tunnel accident;
the traffic guidance support module comprises:
the photographing monitoring unit is used for controlling the tunnel robot to carry out photographing monitoring on accidents or illegal behaviors;
the language prompting unit is used for calling corresponding language information to prompt according to a preset accident or illegal behavior prompting list;
the tunnel emergency processing module comprises:
the fault type identification unit is used for identifying the fault of the road or the tunnel body in the tunnel;
and the alarm unit is used for giving out corresponding voice prompt and sending out an alarm signal according to the identified fault type.
8. The urban tunnel traffic monitoring system according to claim 7, wherein controlling the photographing monitoring unit comprises:
the tunnel robot moving unit is used for controlling the tunnel robot to move to an accident site;
the photo extraction unit is used for controlling a mechanical arm of the tunnel robot and carrying out multi-angle photographing and evidence obtaining according to photographing equipment at the tail end of the mechanical arm;
and the audio and video connecting unit is used for controlling the tunnel robot to start the remote audio and video connecting traffic police processing center.
9. An urban tunnel traffic monitoring platform, characterized by comprising a plurality of urban tunnel traffic monitoring systems according to any one of claims 7-8, and a console connected with the plurality of urban tunnel traffic monitoring systems;
the control console manages a plurality of node members for picture analysis by adopting a HASEN container cloud technology, and adjusts IPC loaded to each node member according to the load of each node member.
10. The urban tunnel traffic monitoring platform according to claim 9, wherein the urban tunnel traffic monitoring platform is provided with a tunnel adjusting interface for receiving user parameter settings for tunnel temperature, humidity and gas content and controlling the temperature, humidity and gas content of the tunnel, wherein the temperature, humidity and gas content in the tunnel are uploaded to the urban tunnel traffic monitoring platform through a sensor.
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| CN114708737A (en) * | 2022-03-30 | 2022-07-05 | 招商局重庆交通科研设计院有限公司 | Emergency linkage management and control method and system for electromechanical facilities of highway tunnel |
| CN114898569A (en) * | 2022-07-15 | 2022-08-12 | 山东金宇信息科技集团有限公司 | Tunnel traffic emergency processing method and device |
| CN114898569B (en) * | 2022-07-15 | 2022-10-21 | 山东金宇信息科技集团有限公司 | Tunnel traffic emergency processing method and device |
| CN115238366A (en) * | 2022-09-19 | 2022-10-25 | 国网山西省电力公司太原供电公司 | Online detection emergency early warning method and system for AI intelligent cable tunnel |
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