CN113178082A - Intelligent identification method and system for safety risks of expressway - Google Patents
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Abstract
The application relates to an intelligent identification method and system for highway safety risks, and relates to the technical field of risk identification. The method comprises the steps of obtaining geological data information of an area where a road section is located; according to the geological data information, whether potential safety hazards exist in the road section or not is judged after analysis; if yes, sending out warning information to block the road section; if not, continuing to acquire the address data information of the road section. Acquiring historical accident data information of each road section; determining accident occurrence road sections and accident occurrence factor information according to the historical data information; screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information; and taking the natural accident occurring road section as a key monitoring road section. The method and the device have the advantages that potential safety hazards on the highway are found out in advance, and the effect of preventing the accidents in the bud is achieved.
Description
Technical Field
The application relates to the technical field of highway risk identification, in particular to an intelligent identification method and system for highway safety risks.
Background
With the acceleration of the integrated process of the region, the vehicle passing mileage and the travel demand of the highway are increasing day by day, and a serious challenge is provided for the safety guarantee of the highway. The high-definition video monitoring system is used for comprehensively and real-timely monitoring the running state of the highway and surrounding facilities and environments, is favorable for quickly finding abnormal traffic running and timely responding, and is important content for information construction of the highway in recent years.
However, due to the large area of jurisdiction and long high-speed mileage, a large-scale monitoring center monitor usually needs to monitor thousands of videos at the same time, and it often takes tens of minutes to patrol all videos once, so that the efficiency is low, and the time cost and the labor cost are high. In most cases, after the surrounding environment of the highway is abnormal or has an accident, the related staff can know the abnormal or accident phenomenon, and the effect of preventing in advance cannot be achieved.
Disclosure of Invention
In order to find out potential safety hazards on the highway in advance, prevent accidents in the bud and reduce the incidence of accidents, the application provides an intelligent identification, prevention and control method for highway safety risks.
The application provides an intelligent identification, prevention and control method for highway safety risks, which adopts the following technical scheme:
in a first aspect, the present application provides an intelligent identification method for highway safety risks, which adopts the following technical scheme:
the intelligent recognition method for the safety risk of the expressway comprises the following steps:
acquiring geological data information of an area where a road section is located;
according to the geological data information, whether potential safety hazards exist in the road section or not is judged after analysis;
if yes, sending out warning information to block the road section;
if not, continuing to acquire the address data information of the road section.
By adopting the technical scheme, the highway is spread all over the places, and the normal operation of the highway is greatly influenced due to different geographic environments. The method comprises the steps of obtaining geological data information of an area where a road section is located, analyzing and judging whether the area is abnormal or whether data has large deviation according to the geological data information, judging whether the road section has potential safety hazards or not, and sending warning information to corresponding workers and management parts when the road section has the potential safety hazards, so that the potential safety hazards can be checked before accidents happen on the road section, the accident occurrence rate is reduced, and the running safety of the highway is improved.
Optionally, the method further includes:
acquiring historical accident data information of each road section;
determining accident occurrence road sections and accident occurrence factor information according to the historical data information;
screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information;
and taking the natural accident occurring road section as a key monitoring road section.
By adopting the technical scheme, the accident occurrence rate of each road section is judged by collecting the historical accident data information of each road section, and the traffic accident caused by driving is an uncontrollable and unpredictable phenomenon, so that the accident occurrence road section and the accident occurrence factor information are used for screening the natural accident occurrence road section without artificial factors, so that the geological data, the infrastructure and the green plant trees of the road section can be mainly monitored, and the influence of the natural environment on the operation of the expressway is prevented.
Optionally, when acquiring the geological data information of the area where the road section is located, monitoring the geological data information by using an InSAR technology; the geological data information comprises muddy water level information, soil body settlement information, image information and line voltage information.
By adopting the technical scheme, the InSAR technology is a novel space-to-ground observation technology which takes two SAR images in the same area as basic processing data, obtains an interference image by solving the phase difference of the two SAR images, and obtains terrain elevation data from interference fringes through phase unwrapping, so that accurate detection on earthquake, mountain landslide, road surface collapse and the like can be realized, and the purpose of measuring the geographical environment around the expressway is achieved.
Optionally, the image video information includes bridge picture information and tunnel picture information.
By adopting the technical scheme, the collected bridge picture information and tunnel picture information in the image information can be used for conveniently judging the conditions of use, abrasion, weathering and the like of the bridge and the tunnel through the image information, so that the bridge and the tunnel are detected according to the picture information, the bridge and the tunnel are repaired and maintained in time, and the operation safety is improved.
Optionally, when determining whether the road segment has a potential safety hazard after analyzing according to the geological data information, the method includes:
and judging the probability value of natural disaster and influencing the normal operation of the road section according to the geological data information, and outputting warning information of a corresponding grade, wherein the higher the probability value is, the higher the grade of the warning information is.
By adopting the technical scheme, when the potential safety hazard appears in a certain road section, the influence of the potential safety hazard on the normal running of the road is judged, when the potential safety hazard is developed into a bright trouble, the normal running of the road section is not influenced, the low-grade warning information is output, when the potential safety hazard influences the normal running of the road section and endangers the driving safety, the high-grade warning information is output, so that the corresponding warning information can be sent out aiming at the potential safety hazards of different degrees, a worker or a management department is informed to handle the potential safety hazard or manage the road traffic, and the occurrence of safety accidents is prevented.
Optionally, the warning information is divided into three levels, and when a natural disaster phenomenon occurs and the probability value influencing the normal operation of a road section is below 0.2, low-level warning information is output; when the probability value is 0.2-0.5, outputting middle-grade warning information; and when the probability value is 0.5 or more, outputting high-level warning information.
By adopting the technical scheme, the warning information of corresponding grade can be output according to the influence of natural disasters on the normal operation of the road by dividing the three grades of the warning information, and relevant workers or safety management departments can take corresponding treatment measures according to the received warning information, so that the decision correctness and timeliness of potential safety hazards or natural disasters are improved.
In a second aspect, the present application provides an intelligent recognition system for highway safety risks, which adopts the following technical scheme:
highway safety risk intelligent recognition system includes:
the first data acquisition unit is used for acquiring geological data information of an area where a road section is located;
the first data analysis unit is used for judging whether the road section has potential safety hazards or not after analysis according to the geological data information; and
and the warning unit is used for sending out corresponding warning information when potential safety hazards exist in the road section.
By adopting the technical scheme, the highway is spread all over the places, and the normal operation of the highway is greatly influenced due to different geographic environments. The geological data information of the area where the road section is located is obtained through the first data acquisition unit, the geological data information is analyzed through the first data analysis unit, whether abnormity exists or the data have large deviation is judged, whether potential safety hazards exist in the road section can be judged, when the potential safety hazards exist in the road section, the warning information is sent to corresponding workers and management parts through the warning unit, therefore, the potential safety hazards can be checked before accidents happen to the road section, the accident occurrence rate is reduced, and the running safety of the expressway is improved.
Optionally, the method further includes:
the second data acquisition unit is used for acquiring historical accident data information and accident occurrence factor information of each road section;
the second data analysis unit is used for screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information;
and the monitoring unit is used for monitoring the natural accident occurring road section for a long time.
By adopting the technical scheme, the accident occurrence rate of each road section is judged by acquiring the historical accident data information of each road section through the second data acquisition unit, the traffic accident caused by driving is an uncontrollable and unpredictable phenomenon, so that the natural accident occurrence road section without artificial factors is screened out through the second data analysis unit from the accident occurrence road section and accident occurrence factor information, and the geological data, the infrastructure and the green plant trees of the road section are mainly monitored through the monitoring unit, so that the influence of the natural environment on the operation of the expressway can be prevented.
Optionally, the data analysis unit further includes a probability statistics subunit, configured to determine a probability value that a natural disaster occurs and normal operation of the road segment is affected.
By adopting the technical scheme, when a safety hazard occurs in a certain road section, the influence of the safety hazard on the normal operation of the road is judged through the data analysis unit, the probability that the safety hazard influences the normal operation of the highway is calculated through the probability statistics subunit, when the safety hazard develops into an obvious trouble, the normal passage of the road section is not influenced, the low-grade warning information is output, when the safety hazard influences the normal passage of the road section and endangers the driving safety, the high-grade warning information is output, the corresponding warning information can be sent aiming at the hidden hazards with different degrees, the working personnel or the management department are informed to handle the safety hazard or manage the road traffic, and the safety accident is prevented.
Optionally, the warning unit includes a low-level warning subunit, a medium-level warning subunit and a high-level warning subunit, and is configured to respond to warning subunits of different levels according to the probability value output by the probability statistics subunit.
By adopting the technical scheme, the warning information of corresponding levels can be output according to the influence of natural disasters on the normal operation of the road by dividing the warning units in three levels, and relevant workers or safety management departments can take corresponding treatment measures according to the received warning information, so that the decision correctness and timeliness of potential safety hazards or natural disasters are improved.
In summary, the present application includes at least one of the following beneficial technical effects:
the highway is spread all over the places, and due to the difference of geographic environment, the highway has great influence on normal operation. The method comprises the steps of obtaining geological data information of an area where a road section is located, analyzing and judging whether the area is abnormal or whether data has large deviation according to the geological data information, judging whether the road section has potential safety hazards or not, and sending warning information to corresponding workers and management parts when the road section has the potential safety hazards, so that the potential safety hazards can be checked before accidents happen on the road section, the accident occurrence rate is reduced, and the running safety of the highway is improved.
Drawings
Fig. 1 is a flow chart of a method provided in an embodiment of the present application.
Fig. 2 is a flow chart of another method provided by an embodiment of the present application.
Detailed Description
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The embodiments of the present invention will be described in further detail with reference to the drawings attached hereto.
The embodiment of the invention provides an intelligent identification method for highway safety risks, which mainly comprises the following steps.
As shown in fig. 1:
step S100: and acquiring geological data information of the area where the road section is located.
The geological data information comprises muddy water level information, soil settlement information, facility image information and line voltage information.
The landslide and soil body settlement information caused by overhigh muddy water level in the geological data information can be obtained through the InSAR remote sensing technology. InSAR is an interferometric radar, which is a synthetic aperture radar adopting an interferometric technique. The method is characterized in that two side-looking antennas are used for observing a target simultaneously (single-track double-antenna mode) or observing the target twice in parallel at a certain time interval (single-antenna repeated track mode), so that a complex image pair (comprising intensity information and phase information) of twice imaging of the same area on the ground is obtained. Due to the geometric relationship between the target and the two antenna positions, the ground target echo forms a phase difference signal, and an interference fringe pattern is formed through the complex correlation of the two complex images.
The interferogram contains information about the difference between the image point and the two-antenna position in the skew direction (change in the echo phase). Therefore, by using the geometrical relationship among the height of the remote sensor, the radar wavelength, the beam sight direction and the antenna baseline distance, distance information can be obtained, and the elevation information of each point on the image can be accurately measured, so that a high-resolution earth surface three-dimensional image can be obtained, and the accuracy can reach millimeter magnitude.
The facility image information comprises bridge picture information, tunnel picture information, muddy water level information and soil body settlement information, the picture information of the highway tunnel and the bridge is collected, and whether the tunnel has cracks, deformation, water seepage and other dangerous conditions can be known through the pictures; the conditions of use, abrasion, weathering and the like of the bridge and the tunnel can be judged according to the image information, so that the bridge and the tunnel can be detected according to the image information, the bridge and the tunnel can be repaired and maintained in time, and the operation safety of the bridge and the tunnel is improved.
Step S200: and judging whether the road section has potential safety hazards or not after analysis according to the geological data information.
When the potential safety hazard exists, the detected geological data information can be compared with the prestored normal geological information, and the difference value is judged, for example, when the numerical value of the muddy water level information is close to the normal address information, the potential safety hazard does not exist, and when the numerical value difference of the muddy water level information is large, the potential safety hazard information exists. When the geological data information is image information, the image information can be analyzed and compared with the image under normal conditions to judge whether the tunnel and the bridge in the image are deformed, cracked or collapsed.
Step S210: if the potential safety hazard exists, warning information is sent out to block the road section;
step S220; and if no potential safety hazard exists, repeating the step 100 and the step 200.
The warning information can be character information, and also can be light or sound information. The warning information sending can be realized through intelligent equipment with a communication function, and when the received data is abnormal or potential safety hazards exist, the content of the potential safety hazards is edited into a short message or prompt information is sent out through a communication device, so that related workers can see the content through the intelligent terminal.
And when judging whether the road section has potential safety hazards, the method also comprises the following steps.
Step S211: judging a probability value of occurrence of a natural disaster phenomenon and influence on normal operation of a road section;
step S212: and outputting the warning information of the corresponding grade, wherein the higher the probability value is, the higher the grade of the warning information is.
Wherein, the warning information can be divided into at least three levels, and is corresponding to the size of the probability value: outputting low-level warning information when a natural disaster phenomenon occurs and the probability value influencing the normal operation of a road section is below 0.2; when the probability value is 0.2-0.5, outputting middle-grade warning information; and when the probability value is 0.5 or more, outputting high-level warning information.
The warning information of the corresponding grade is output according to the influence of the natural disaster on the normal operation of the road, so that relevant workers or safety management departments can take corresponding treatment measures according to the received warning information, and the decision correctness and timeliness of the potential safety hazard or the natural disaster are improved.
Referring to fig. 2:
step S300: and acquiring historical accident data information of each road section.
The historical accident data can be text information or specific identification information. For example, on a road segment on which historical accident data information exists on a road image, different colors are presented to indicate that the road segment layer is over-collapsed, brown is presented beside the road, and mountain landslide and the like appear around the road segment. The historical accident data information of the road section is acquired in a manual leading-in mode, and is also automatically called from a corresponding storage position.
Step S400: determining accident occurrence road sections and accident occurrence factor information according to the historical data information;
step S500: and screening the natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information.
Because the traffic accident caused by driving is an uncontrollable and unpredictable phenomenon, the natural accident occurring road section without human factors is screened out according to the accident occurring road section and accident occurring factor information. Accidents caused by human factors are traffic accidents caused by vehicle reasons such as rear-end collision or vehicle out-of-control and the like or driver reasons, and natural accidents are the influence of road surface collapse, landslide, trunk shielding or mountain rockfall on the normal operation of the expressway.
Step S600: and taking the natural accident occurring road section as a key monitoring road section.
The monitoring mode comprises image video monitoring, continuous detection of geology by a sensor or continuous detection of landform change of the area by an interference radar and the like, so that key monitoring can be performed on geological data, infrastructure and green tree planting of the road section, and influence on running of the highway due to influence of natural environment is prevented.
The application also discloses highway safety risk intelligent recognition system includes:
the first data acquisition unit is used for acquiring geological data information of an area where a road section is located;
the first data analysis unit is used for judging whether the road section has potential safety hazards or not after analysis according to the geological data information; and
and the warning unit is used for sending out corresponding warning information when potential safety hazards exist in the road section.
The warning unit comprises a low-level warning subunit, a middle-level warning subunit and a high-level warning subunit, and is used for responding to the warning subunits with different levels according to the probability value output by the probability statistics subunit.
The warning units are divided into three levels, warning information of corresponding levels can be output according to the influence of natural disasters on the normal operation of roads, and relevant workers or safety management departments can take corresponding treatment measures according to the received warning information, so that the decision correctness and timeliness of potential safety hazards or natural disasters are improved.
Further, the system further comprises:
the second data acquisition unit is used for acquiring historical accident data information and accident occurrence factor information of each road section;
the second data analysis unit is used for screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information;
and the monitoring unit is used for monitoring the natural accident occurring road section for a long time.
The second data analysis unit further comprises a data analysis subunit, and the data analysis subunit is used for judging the probability value that the natural disaster phenomenon occurs and the normal operation of the road section is influenced.
When a safety hazard occurs in a certain road section, the data analysis unit judges the influence of the safety hazard on the normal operation of the road, the probability statistics subunit calculates the normal operation probability that the safety hazard influences the highway, when the safety hazard develops into a clear trouble, the normal traffic of the road section is not influenced, the low-grade warning information is output, when the safety hazard influences the normal traffic of the road section and endangers the driving safety, the high-grade warning information is output, the corresponding warning information can be sent aiming at the hidden hazards with different degrees, so that a worker or a management department is informed to process the safety hazard or manage road traffic, and safety accidents are prevented.
In the above embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present invention, and should not be construed as limiting the present invention. Those skilled in the art should also appreciate that they can easily conceive of various changes and substitutions within the technical scope of the present disclosure.
Claims (10)
1. The intelligent recognition method for the safety risk of the expressway is characterized by comprising the following steps:
acquiring geological data information of an area where a road section is located;
according to the geological data information, whether potential safety hazards exist in the road section or not is judged after analysis;
if yes, sending out warning information to block the road section;
if not, continuing to acquire the address data information of the road section.
2. The intelligent recognition method for highway safety risks according to claim 1, further comprising:
acquiring historical accident data information of each road section;
determining accident occurrence road sections and accident occurrence factor information according to the historical data information;
screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information;
and taking the natural accident occurring road section as a key monitoring road section.
3. The intelligent expressway safety risk identification method according to claim 1, wherein the acquiring of the geological data information of the area where the road section is located comprises monitoring the geological data information by an InSAR technology; the geological data information comprises muddy water level information, soil body settlement information, image information and line voltage information.
4. The intelligent highway safety risk identification method according to claim 1, wherein the image video information comprises bridge picture information and tunnel picture information.
5. The intelligent expressway safety risk identification method according to claim 1, wherein when analyzing and judging whether the road section has potential safety hazards according to the geological data information, the method comprises the following steps:
and judging the probability value of natural disaster and influencing the normal operation of the road section according to the geological data information, and outputting warning information of a corresponding grade, wherein the higher the probability value is, the higher the grade of the warning information is.
6. The intelligent expressway safety risk identification method according to claim 1, wherein the warning information is divided into three levels, and when a natural disaster phenomenon occurs and the probability value affecting the normal operation of a road section is below 0.2, low-level warning information is output; when the probability value is 0.2-0.5, outputting middle-grade warning information; and when the probability value is 0.5 or more, outputting high-level warning information.
7. Highway safety risk intelligent recognition system, its characterized in that includes:
the first data acquisition unit is used for acquiring geological data information of an area where a road section is located;
the first data analysis unit is used for judging whether the road section has potential safety hazards or not after analysis according to the geological data information; and
and the warning unit is used for sending out corresponding warning information when potential safety hazards exist in the road section.
8. The intelligent highway safety risk identification system according to claim 7, further comprising:
the second data acquisition unit is used for acquiring historical accident data information and accident occurrence factor information of each road section;
the second data analysis unit is used for screening out natural accident occurrence road sections without human factors according to the accident occurrence road sections and the accident occurrence factor information;
and the monitoring unit is used for monitoring the natural accident occurring road section for a long time.
9. The intelligent recognition system for highway safety risks according to claim 7, wherein the data analysis unit further comprises a probability statistics subunit for determining probability values of natural disaster phenomena affecting normal operation of highway sections.
10. The intelligent highway safety risk identification system of claim 7 wherein the warning units comprise a low-level warning subunit, a middle-level warning subunit and a high-level warning subunit, and are configured to respond to warning subunits of different levels according to the probability values output by the probability statistics subunit.
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| CN117057606A (en) * | 2023-08-15 | 2023-11-14 | 广州地铁设计研究院股份有限公司 | Risk prediction model training method, risk prediction method and related equipment |
| CN117351708A (en) * | 2023-10-08 | 2024-01-05 | 北京迈道科技有限公司 | Expressway safety operation management early warning method, system and storage medium |
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| US20180305876A1 (en) * | 2017-04-25 | 2018-10-25 | MZC Foundation, Inc. | Apparatus, system, and method for smart roadway stud control and signaling |
| CN108596518A (en) * | 2018-05-14 | 2018-09-28 | 中国路桥工程有限责任公司 | A kind of Highway Geological Disaster risk assessment method |
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