CN106530770A - Agglomerate fog road section driving safety intelligent detection and early warning method and system - Google Patents

Abstract

The present invention proposes a method and system for intelligent detection and early warning of driving safety on a cloudy road section. The method includes the following steps: obtaining road condition information of the road section to be detected in cloudy fog; according to the road condition information, generating The early warning information corresponding to the road condition information; the early warning information is sent to the cloud service center, and it is judged whether the confirmation release instruction fed back by the cloud service center is received; if the confirmation release instruction is received, the early warning information is issued. The invention can perform real-time detection on the foggy road section, and automatically carry out hierarchical early warning according to the detection data results, so as to guide the vehicles that will enter the foggy road section in advance and actively, thereby improving the early warning level of the foggy road section, and further improving the Driving safety of vehicles on foggy road sections.

Description

Method and system for intelligent detection and early warning of driving safety in tuanwu road section

technical field

The invention relates to the technical field of expressway intelligent traffic management, in particular to a method and system for intelligent detection and early warning of traffic safety on a cloudy road section.

Background technique

Cluster fog is affected by the microclimate environment in local areas. In the local range of tens of meters to hundreds of meters in heavy fog, the fog that appears is denser and has lower visibility. Different from the dense fog, the visibility outside the fog is good, and the visibility inside the fog is very low, generally only 10-20m; the coverage is in the shape of a section, usually, the location of the fog has a certain regularity, But the time when the mist occurs often changes at any time.

According to statistics, the probability of traffic accidents in foggy days is several times higher than usual, even dozens of times. Due to dense fog and group fog, continuous rear-end collision accidents caused by multiple vehicles occur frequently, and the losses are serious. Especially on the expressway, the speed of the vehicle is fast, and due to the sudden appearance of the fog group, which is difficult to predict, the driver is often caught off guard, loses his sight, instinctively slams on the brakes, and easily causes the vehicle to rear-end. Killer". There are many multi-vehicle collision accidents caused by cloud fog every year in the whole country, causing serious casualties and property losses.

However, due to the limitations of management means and information service means, there is no good technical management means for the foggy section of the expressway. At the same time, the growing expressway system has put forward new requirements for expressway traffic management. It is necessary to change from the previous emergency management after the event to the active management before the event, and strengthen the early warning management in the expressway management process to reduce traffic accidents. Potential hidden dangers of highway traffic accidents.

Contents of the invention

The present invention aims to solve at least one of the above-mentioned technical problems.

For this reason, an object of the present invention is to propose a kind of traffic safety intelligent detection and early warning method of cloudy road section, this method can carry out real-time detection to cloudy road section, and automatically carry out grading early warning according to detection data result, in order to drive into the group Vehicles on the foggy road section are guided in advance and actively, thereby improving the early warning level of the foggy road section, and thus improving the driving safety of vehicles on the foggy road section.

Another object of the present invention is to propose an intelligent detection and early warning system for traffic safety on a foggy road section.

In order to achieve the above object, the embodiment of the first aspect of the present invention discloses a method for intelligent detection and early warning of driving safety in the foggy road section, which includes the following steps: obtaining road condition information of the road section in the foggy road section to be detected; according to the road condition information, by querying The preset group fog early warning expert knowledge base generates the early warning information corresponding to the road condition information; sends the early warning information to the cloud service center, and judges whether to receive the confirmation release instruction fed back by the cloud service center; if received If the issuing instruction is confirmed, then the warning information is issued.

In addition, the method for intelligent detection and early warning of driving safety in the cloudy road section according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

In some examples, it also includes: storing the road condition information, time information for obtaining the road condition information, weather information, traffic flow information, location number, road section name, fault information and the warning information.

In some examples, the method further includes: updating the preset cloud fog early warning expert knowledge base according to the acquired road condition information and the correspondingly issued early warning information.

In some examples, the road condition information at least includes: visibility level, traffic flow, vehicle speed and occupancy rate of the foggy road section to be tested.

In some examples, the manner of issuing the warning information includes at least: variable speed limit, variable information, flashing warning lights, driving instructions and voice prompts.

According to the intelligent detection and early warning method for road traffic safety in the cloudy road section of the embodiment of the present invention, the road condition information of the road section in the cloudy fog to be detected is obtained, and according to the road condition information, the early warning information corresponding to the road condition information is generated by querying the preset cloudy early warning expert knowledge base , send the early warning information to the cloud service center for verification, and release the early warning information after receiving the confirmation and release instruction fed back by the cloud service center, so that real-time detection of the foggy road section can be carried out, and graded early warning can be automatically carried out according to the detection data results. In order to advance and actively guide the vehicles that will enter the foggy road section, the early warning level of the foggy road section is improved, and the driving safety of the vehicles on the foggy road section is improved.

In order to achieve the above object, the embodiment of the second aspect of the present invention also proposes an intelligent detection and early warning system for traffic safety in the foggy road section, including: an acquisition module, which is used to acquire road condition information of the foggy road section to be detected; Early warning information generation module, the early warning information generation module is used to generate early warning information corresponding to the road condition information by querying the preset group fog early warning expert knowledge base according to the road condition information; the release module, the release module is used for The early warning information is sent to the cloud service center, and the early warning information is issued when receiving a confirmation release instruction fed back by the cloud service center.

In addition, the intelligent detection and early warning system for driving safety in the cloudy road section according to the above-mentioned embodiments of the present invention may also have the following additional technical features:

In some examples, it also includes: a storage module, the storage module is used to store the road condition information, time information for obtaining the road condition information, weather information, traffic flow information, location number, road section name, fault information and the Early warning information.

In some examples, it further includes: an update module, configured to update the preset cloud fog early warning expert knowledge base according to the acquired road condition information and the correspondingly issued early warning information.

In some examples, the road condition information at least includes: visibility level, traffic flow, vehicle speed and occupancy rate of the foggy road section to be tested.

In some examples, the manner of issuing the warning information includes at least: variable speed limit, variable information, flashing warning lights, driving instructions and voice prompts.

According to the traffic safety intelligent detection and early warning system of the cloudy road section according to the embodiment of the present invention, the road condition information of the road section to be detected is obtained, and according to the road condition information, the early warning information corresponding to the road condition information is generated by querying the preset cloudy early warning expert knowledge base , send the early warning information to the cloud service center for verification, and release the early warning information after receiving the confirmation and release instruction fed back by the cloud service center, so that real-time detection of the foggy road section can be carried out, and graded early warning can be automatically carried out according to the detection data results. In order to advance and actively guide the vehicles that will enter the foggy road section, the early warning level of the foggy road section is improved, and the driving safety of the vehicles on the foggy road section is improved.

Additional aspects and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and comprehensible from the description of the embodiments in conjunction with the following drawings, wherein:

Fig. 1 is the flow chart of intelligent detection and early warning method for driving safety in group fog road section according to an embodiment of the present invention;

Fig. 2 is a schematic diagram of the overall process of an intelligent detection and early warning method for traffic safety on a cloudy road section according to an embodiment of the present invention;

Fig. 3 is according to a specific embodiment of the present invention the block diagram of realization principle of road traffic safety intelligent detection and early warning method in group fog;

Fig. 4 is a specific implementation scene of the traffic safety intelligent detection and early warning method in the cloudy road section according to a specific embodiment of the present invention;

Fig. 5 is a structural block diagram of an intelligent detection and early warning system for traffic safety on a foggy road section according to an embodiment of the present invention; and

Fig. 6 is a block diagram of the overall structure of an intelligent detection and early warning system for traffic safety on a cloudy road section according to an embodiment of the present invention.

detailed description

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and should not be understood as indicating or implying relative importance.

In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection. Connected, or integrally connected; it can be mechanically connected or electrically connected; it can be directly connected or indirectly connected through an intermediary, and it can be the internal communication of two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations.

The method and system for intelligent detection and early warning of driving safety in foggy road sections according to embodiments of the present invention will be described below with reference to the accompanying drawings.

Fig. 1 is a flow chart of an intelligent detection and early warning method for traffic safety on a cloudy road section according to an embodiment of the present invention. Fig. 2 is a schematic diagram of the overall flow of the intelligent detection and early warning method for traffic safety on a foggy road section according to another embodiment of the present invention. As shown in Figure 1, combined with Figure 2, the method includes the following steps:

Step S1: Obtain the road condition information of the foggy road section to be detected. Wherein, the road condition information includes, for example, at least: visibility level, traffic flow, vehicle speed and occupancy rate of the foggy road section to be tested.

Specifically, for example, an L bar is set in the middle or above the road side of a certain section of the expressway where fog is prone to occur, and a high-definition video camera detection device is set on its cross bar to monitor the visibility, traffic, etc. in the detection area. Traffic, vehicle speed, occupancy rate, etc. (that is, road condition information) are detected. Among them, through image recognition and comparison technology, the high-definition video camera detects the visibility in the detection area to confirm the current visibility level. At the same time, image recognition technology is used to detect traffic flow parameters such as flow rate, vehicle speed, occupancy rate and other traffic flow of expressway section.

Step S2: According to the road condition information, generate the warning information corresponding to the road condition information by querying the preset cloud fog early warning expert knowledge base.

Step S3: Send the early warning information to the cloud service center, and judge whether to receive a confirmation release instruction fed back by the cloud service center.

Step S4: If the confirmation release instruction is received, the early warning information is issued. Wherein, in one embodiment of the present invention, the way of releasing the early warning information at least includes: variable speed limit, variable information, flashing warning lights, driving instructions and voice prompts.

Specifically, the cloud service center needs to confirm the early warning information released by the front-end equipment, and if it is appropriate, keep the current early warning information and release it; The content of the issued warning information. At the same time, relevant information is stored in the database, including time information, weather information, traffic flow information, passing point number, expressway name, early warning level information, fault information, early warning information, etc.

In other words, according to the detected road condition information such as visibility level, the cloud service center or the on-site embedded host will generate corresponding early warning information according to the preset fog early warning expert knowledge base, and release it through the early warning equipment, and send it to the cloud service center at the same time. Report the level of visibility detected and the type and level of information to be released.

In a specific example, as shown in Figure 3, for example, early warning devices are installed at 2km, 1km, and 200m upstream of the two-way upstream of the fog-prone road section, so as to provide early warning information for the two-way traffic flow after the fog is detected. . For example, early warning equipment adopts multi-technology integrated devices, which can provide travelers with early warning information including variable speed limit, strobe warning lights, driving instructions, voice prompts, etc. in the form of sound and light. Multi-technology integrated equipment mainly includes high-brightness warning lights, LED screen display equipment, variable speed limit display unit, high-power broadcasting, etc.

Further, in an embodiment of the present invention, the method further includes: storing road condition information, time information for obtaining the road condition information, weather information, traffic flow information, location number, road section name, fault information and early warning information.

Further, in an embodiment of the present invention, the method further includes: updating the preset cloud fog early warning expert knowledge base according to the acquired road condition information and the corresponding issued early warning information.

In other words, in a specific embodiment of the present invention, as shown in FIG. 2 and FIG. 3, for example, the visibility detection is to utilize a high-definition video camera installed in the foggy road section of the expressway to detect the visibility of the road section, and at the same time obtain traffic Flow rate, speed, occupancy and other parameters of the flow. The automatic generation of early warning information refers to the use of the preset expert knowledge base to automatically generate expressway safety driving early warning information released in multiple ways according to the detected road visibility and traffic flow conditions. Early warning information release refers to the use of multiple multi-technology integrated devices installed upstream of the foggy road section to provide highway travelers with visibility warnings and variable speed limits for the foggy road section through sound, variable information, variable speed limit, etc. early warning. The early warning information release of the cloud service center means that the management personnel of the control center review the information required to be released by the early warning equipment in the upstream and downstream of the Tuanwu road section according to the visibility detection results and traffic flow detection results, and release the information through the early warning equipment after the review is passed. If the review fails, the early warning information will be revised and improved before release. Information storage is to store the detection results of the visibility of the Tuanwu road section, the detection results of parameters such as traffic flow, speed, occupancy rate, time, and location number into the corresponding database. Further, according to the detected group fog information and the early warning information confirmed or revised by the center, the rules of the group fog early warning are found, and the expert knowledge base supporting the automatic generation of early warning information in the system is updated.

In a specific embodiment, as shown in FIG. 4, for example, along the expressway, as shown in FIG. 4, a group fog detection device based on a high-definition camera is provided on a road section where group fog occurs frequently, and the upstream 2km, 1km, and 200m places Equipped with early warning equipment. When the group fog detection equipment detects the generation of group fog, it will use the expert knowledge base to automatically generate the early warning traffic information to be released according to the detected group fog level and other information, and the embedded host system on site will control the three upstream early warning devices Release early warning information, including controlling the variable speed limit board to adjust the speed limit sign, issuing corresponding prompt information on the variable information board and flashing warning lights, etc. The early warning information is uploaded to the cloud service center, and the staff of the cloud service center will confirm the detection results of the cloud fog and the early warning information, and modify and adjust the released information for re-release. At the same time, the detected fog information and the issued early warning information should be included in the database to support the update and optimization of the expert knowledge base in the future.

In summary, the main implementation process of the intelligent detection and early warning method for driving safety in the foggy road section of the above-mentioned embodiments of the present invention can be summarized as follows: detection of the foggy road information, for example, using a high-definition video camera installed in the foggy road section based on the foggy detection algorithm The detection of group fog; the generation of early warning information, such as the automatic generation of early warning information based on the detected group fog visibility level based on the expert knowledge base according to the needs of group fog traffic management and the comprehensive release of early warning information; the release of early warning information , for example, according to the new multi-technology integrated early warning equipment, it is released in various ways such as variable speed limit, variable information service and warning lights; finally, it is the audit of the cloud service center, such as the control center personnel based on the detection of fog Alarm information, uploaded automatically generated early warning information to be released, combined with on-site video to confirm, and check the early warning information to be released. Further, it also includes: storage of group fog event information, that is, storing the detected group fog event information for use in future group fog prediction and early warning; and updating the expert knowledge base, for example, according to the stored group fog information , and the early warning information released by the command center personnel after correction, etc., to update the expert knowledge base.

According to the intelligent detection and early warning method for road traffic safety in the cloudy road section of the embodiment of the present invention, the road condition information of the road section in the cloudy fog to be detected is obtained, and according to the road condition information, the early warning information corresponding to the road condition information is generated by querying the preset cloudy early warning expert knowledge base , send the early warning information to the cloud service center for verification, and release the early warning information after receiving the confirmation and release instruction fed back by the cloud service center, so that real-time detection of the foggy road section can be carried out, and graded early warning can be automatically carried out according to the detection data results. In order to advance and actively guide the vehicles that will enter the foggy road section, the early warning level of the foggy road section is improved, and the driving safety of the vehicles on the foggy road section is improved.

A further embodiment of the present invention also proposes an intelligent detection and early warning system for traffic safety on a foggy road section.

Fig. 5 is a structural block diagram of an intelligent detection and early warning system for traffic safety on a cloudy road section according to an embodiment of the present invention. Fig. 6 is a block diagram of the overall structure of an intelligent detection and early warning system for traffic safety on a cloudy road section according to another embodiment of the present invention. As shown in FIG. 5 , the system 100 includes: an acquisition module 110 , an early warning information generation module 120 and a release module 130 .

Wherein, the obtaining module 110 is used to obtain road condition information of the fog road section to be detected. Wherein, the road condition information includes, for example, at least: visibility level, traffic flow, vehicle speed and occupancy rate of the foggy road section to be tested.

Specifically, for example, an L bar is set in the middle or above the road side of a certain section of the expressway where fog is prone to occur, and a high-definition video camera detection device is set on its cross bar to monitor the visibility, traffic, etc. in the detection area. Traffic, vehicle speed, occupancy rate, etc. (that is, road condition information) are detected. Among them, through image recognition and comparison technology, the high-definition video camera detects the visibility in the detection area to confirm the current visibility level. At the same time, image recognition technology is used to detect traffic flow parameters such as flow rate, vehicle speed, occupancy rate and other traffic flow of expressway section.

The early warning information generation module 120 is used to generate early warning information corresponding to the road condition information by querying the preset fog early warning expert knowledge base according to the road condition information.

The release module 130 is used to send the early warning information to the cloud service center, and release the early warning information when receiving a confirmation release instruction fed back by the cloud service center. Wherein, in an embodiment of the present invention, the way of releasing the early warning information includes, for example, at least: variable speed limit, variable information, flashing warning lights, driving instructions and voice prompts.

Specifically, the cloud service center needs to confirm the early warning information released by the front-end equipment, and if it is appropriate, keep the current early warning information and release it; The content of the issued warning information. At the same time, relevant information is stored in the database, including time information, weather information, traffic flow information, passing point number, expressway name, early warning level information, fault information, early warning information, etc.

In other words, according to the detected road condition information such as visibility level, the cloud service center or the on-site embedded host will generate corresponding early warning information according to the preset fog early warning expert knowledge base, and release it through the early warning equipment, and send it to the cloud service center at the same time. Report the level of visibility detected and the type and level of information to be released.

Further, in an embodiment of the present invention, as shown in FIG. 6 , the system 100 further includes: a storage module 140 . The storage module 140 is used for storing road condition information, time information for obtaining the road condition information, weather information, traffic flow information, location number, road section name, fault information and early warning information.

Further, in an embodiment of the present invention, as shown in FIG. 6 , the system 100 further includes: an update module 150 . The update module 150 is used to update the preset cloud fog early warning expert knowledge base according to the acquired road condition information and the corresponding issued early warning information.

To sum up, the main realization principle of the traffic safety intelligent detection and early warning system in the group fog road section of the above-mentioned embodiment of the present invention can be summarized as follows: the detection of group fog information, for example, using a high-definition video camera installed in the group fog road section based on the group fog detection algorithm Detection of group fog; generation of early warning information, such as the use of expert knowledge base to automatically generate early warning information based on the detected group fog visibility level according to the needs of group fog traffic management and the early warning information that can be issued comprehensively; the early warning information Release, for example, according to the new multi-technology integrated early warning equipment through variable speed limit, variable information service and warning lights and other ways; finally, the audit of the cloud service center, for example, the control center personnel based on the group detected Fog alarm information, uploaded automatically generated early warning information to be released, combined with on-site video to confirm, and check the early warning information to be released. Further, it also includes: storage of group fog event information, that is, storing the detected group fog event information for use in future group fog prediction and early warning; and updating the expert knowledge base, for example, according to the stored group fog information , and the early warning information released by the command center personnel after correction, etc., to update the expert knowledge base.

It should be noted that the specific implementation of the intelligent detection and early warning system for driving safety on the foggy road section of the embodiment of the present invention is similar to the specific implementation of the intelligent detection and early warning method for driving safety on the foggy road section in the embodiment of the present invention. For details, please refer to the method Part of the description, in order to reduce redundancy, will not be repeated here.

To sum up, according to the traffic safety intelligent detection and early warning system of the cloudy road section in the embodiment of the present invention, the road condition information of the road section to be detected in the cloudy fog is obtained, and according to the road condition information, by querying the preset cloudy early warning expert knowledge base, a corresponding road condition information is generated. The early warning information will be sent to the cloud service center for verification, and the early warning information will be issued after receiving the confirmation and release instruction fed back by the cloud service center. Therefore, real-time detection of the foggy road section can be carried out, and the detection data can be automatically carried out according to the detection data results. Hierarchical early warning to guide vehicles that will enter the foggy road section in advance and actively, thereby improving the early warning level of the foggy road section, and thus improving the driving safety of vehicles on the foggy road section.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications, substitutions and modifications can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the invention is defined by the claims and their equivalents.

Claims (10)

1. a kind of group's mist section vehicle traveling intelligent is detected and method for early warning, it is characterised in that included：Following steps：

Obtain the traffic information in be detected mist section；

According to the traffic information, by inquiring about default mist early warning expert knowledge library, the traffic information is generated corresponding Early warning information；

The early warning information is sent to cloud service center, and judges whether that the confirmation for receiving the cloud service center feedback is sent out Cloth is instructed；

If receiving the confirmation issues instruction, the early warning information is issued.

2. according to claim 1 mist section vehicle traveling intelligent is detected and method for early warning, it is characterised in that also wrapped Include：

Store the traffic information, the time information for obtaining the traffic information, weather information, information of vehicle flowrate, location number, Section title, fault message and the early warning information.

3. according to claim 1 mist section vehicle traveling intelligent is detected and method for early warning, it is characterised in that also wrapped Include：

The early warning information that the traffic information and correspondence according to getting is issued is to the default mist early warning expert Knowledge base is updated.

4. the group's mist section vehicle traveling intelligent according to any one of claim 1-3 detects and method for early warning that its feature exists In the traffic information at least includes：The visibility scale in the to be measured mist section, traffic flow, speed and occupation rate.

5. according to claim 1 mist section vehicle traveling intelligent is detected and method for early warning, it is characterised in that described pre- The published method of alarming information at least includes：Variable speed-limit, variable information, quick-fried sudden strain of a muscle warning lamp, driving are indicated and voice message.

6. a kind of group's mist section vehicle traveling intelligent is detected and early warning system, it is characterised in that included：

Acquisition module, the acquisition module are used for the traffic information for obtaining to be detected mist section；

Early warning information generation module, the early warning information generation module are for according to the traffic information, default by inquiring about Group's mist early warning expert knowledge library, generates the corresponding early warning information of the traffic information；

Release module, the release module is for the early warning information is sent to cloud service center, and is receiving the cloud When instruction is issued in the confirmation of service centre's feedback, the early warning information is issued.

7. according to claim 6 mist section vehicle traveling intelligent is detected and early warning system, it is characterised in that also wrapped Include：

Memory module, the memory module are used to store the traffic information, the time information for obtaining the traffic information, meteorology Information, information of vehicle flowrate, location number, section title, fault message and the early warning information.

8. according to claim 6 mist section vehicle traveling intelligent is detected and early warning system, it is characterised in that also wrapped Include：

Update module, the update module is for the early warning information according to the traffic information and correspondence issue for getting The default mist early warning expert knowledge library is updated.

9. the group's mist section vehicle traveling intelligent according to any one of claim 6-8 detects and early warning system that its feature exists In the traffic information at least includes：The visibility scale in the to be measured mist section, traffic flow, speed and occupation rate.

10. according to claim 6 mist section vehicle traveling intelligent is detected and early warning system, it is characterised in that described The published method of early warning information at least includes：Variable speed-limit, variable information, quick-fried sudden strain of a muscle warning lamp, driving are indicated and voice message.