CN113538945B - Early warning method, system and storage medium for severe traffic environment - Google Patents

Early warning method, system and storage medium for severe traffic environment Download PDF

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Publication number
CN113538945B
CN113538945B CN202110757091.3A CN202110757091A CN113538945B CN 113538945 B CN113538945 B CN 113538945B CN 202110757091 A CN202110757091 A CN 202110757091A CN 113538945 B CN113538945 B CN 113538945B
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rockfall
transportation
early warning
data
route
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CN113538945A (en
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何舒
王文思
王新建
栾维新
孙家庆
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Dalian Maritime University
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Dalian Maritime University
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/048Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention provides an early warning method, a system and a storage medium for a severe traffic and transportation environment, wherein the method comprises the following steps: determining the route and transportation time of the transportation; acquiring meteorological information of a route approach area under transportation time; acquiring a road section provided with a rockfall reminding mark in the route of the transportation; inputting the acquired meteorological information and the road section information with the rockfall reminding mark into a severe traffic environment early warning model, and early warning the severe traffic environment of the current traffic; the severe traffic environment early warning model comprises: and mapping relation between rockfall and meteorological data and topographic data. According to the invention, the meteorological data and the road section with the rockfall reminding mark are input into the severe traffic and transportation environment early warning model, the severe traffic and transportation environment early warning result is obtained and processed, the meteorological data and the terrain are comprehensively considered, the early warning can be accurately carried out on the severe traffic and transportation environment of mountain rockfall caused by meteorological reasons, and the smoothness and the safety of traffic and transportation are ensured.

Description

Early warning method, system and storage medium for severe traffic environment
Technical Field
The invention relates to the technical field of transportation, in particular to an early warning method, an early warning system and a storage medium for a severe transportation environment.
Background
During transportation, meteorological causes may cause landslide and rockfall on the side of the highway, which is an important factor causing severe transportation environment.
At present, although weather forecast can be referred to, a reminding mark of 'careful rock falling' is also arranged on a highway, whether severe traffic transportation environments affecting traffic transportation such as landslide and rock falling really occur or not is difficult to determine.
Disclosure of Invention
The invention aims to provide an early warning method, an early warning system and a storage medium for a severe traffic and transportation environment, which can be used for early warning the severe traffic and transportation environment so as to ensure the smoothness and safety of traffic and transportation.
Therefore, the invention provides the following technical scheme:
in one aspect, the invention provides a method for early warning of a severe traffic environment, comprising:
determining the route and the transportation time of the transportation;
acquiring meteorological information of a route path area under transportation time; the meteorological information is meteorological data capable of causing falling rocks in mountains;
acquiring a road section provided with a rockfall reminding mark in a route of the transportation;
inputting the acquired meteorological information and the road section information with the rockfall reminding marks into a severe traffic environment early warning model, and outputting whether rockfall occurs and the rockfall amount during rockfall; the severe traffic environment early warning model comprises: mapping relation of rockfall, meteorological data and topographic data;
and when the obtained rockfall amount exceeds a preset threshold value, the transportation is considered to belong to a severe traffic environment.
Further, acquiring weather information of the route approach area at the transportation time includes:
weather data are obtained from a weather information system of a national weather bureau, and weather information of a route area under transportation time is screened from the weather data.
Further, the weather information includes at least rainfall.
Further, the highway section that is provided with the stone fall in the route and reminds the sign is obtained, include:
and acquiring the road sections with the rockfall reminding marks in the routes from an information system of a road traffic management department.
Further, the highway section that is provided with the stone fall in the route and reminds the sign is obtained, include:
counting the road sections provided with the rockfall reminding marks in each route in a field visiting mode and forming a rockfall reminding mark database;
and acquiring the road section provided with the rockfall reminding mark in the transportation route from the rockfall reminding mark database.
Further, the severe traffic early warning model is a statistical model;
establishing a bad traffic early warning model, comprising:
the mapping relation of rockfall, meteorological data and topographic data is obtained by carrying out statistical analysis on the topographic data of the road section provided with the rockfall reminding mark, the historical rockfall data of the road section and the historical meteorological data, and the mapping relation is used as a bad traffic early warning model.
Further, the historical rockfall data comprises: rockfall data in historical disaster early warning data provided by the national weather bureau.
In another aspect, the present invention further provides an early warning device for a severe transportation environment, the device comprising:
the route and time determining module is used for determining the route and the transportation time of the transportation;
the meteorological information acquisition module is used for acquiring meteorological information of the route path area at the transportation time determined by the route and time determination module; the meteorological information is meteorological data capable of causing falling rocks in mountains;
the road section obtaining module is used for obtaining the road section which is provided with the rockfall reminding mark in the route determined by the route and time determining module;
the early warning module is used for inputting the meteorological information acquired by the meteorological information acquisition module and the road section information with the rockfall reminding mark acquired by the road section acquisition module into a severe traffic environment early warning model to early warn the severe traffic environment of the traffic transportation; the severe traffic environment early warning model comprises: mapping relation of rockfall and meteorological data and topographic data.
Further, the apparatus further comprises:
an early warning model building module for: the mapping relation of rockfall, meteorological data and topographic data is obtained by carrying out statistical analysis on the topographic data of the road section provided with the rockfall reminding mark, the historical rockfall data of the road section and the historical meteorological data, and the mapping relation is used as a bad traffic early warning model.
In yet another aspect, the present invention further provides a computer-readable storage medium, in which a set of computer instructions is stored, and when the set of computer instructions is executed by a processor, the method for early warning of a severe transportation environment is implemented.
The invention has the advantages and positive effects that:
according to the invention, the acquired meteorological data and the road section with the rockfall reminding mark are input into the severe traffic and transportation environment early warning model, the severe traffic and transportation environment early warning result is obtained and processed, the meteorological phenomena and the terrain are comprehensively considered, the early warning can be accurately carried out on the severe traffic and transportation environment of mountain rockfall caused by meteorological reasons, and the smoothness and the safety of traffic and transportation are ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture involved in an application scenario according to an embodiment of the present invention;
FIG. 2 is a flowchart of an early warning method for a severe transportation environment according to an embodiment of the present invention;
fig. 3 is a block diagram of an early warning system for a severe transportation environment according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
During transportation, especially during road freight transportation, often the transportation route is fixed, when there are more mountain area highway sections on the transportation route, abominable transportation environment such as mountain massif rockfall appears easily, before the transportation, early warning is carried out to the abominable transportation environment of route earlier, especially carry out the early warning to the abominable transportation environment that causes highway side mountain landslide or rockfall because of meteorological factor, under the extremely abominable condition of transportation environment, if the probability that takes place the rockfall is very big or the rockfall that has taken place blocks the road, can adjust the transportation plan or make the reply, in order to guarantee smooth and easy and safety of transportation. Although the weather forecast also can give early warning to the geological disaster, the geological disaster early warning usually only gives the geological disaster weather risk level of a certain area, and if the geological disaster weather risk level is expected to be higher in Changshan county from 18 days 7 and 3 to 18 days 7 and 4 (yellow early warning), whether mountain rockfall accidents occur on the transportation route can not be directly determined. Moreover, mountain rockfall often has hysteresis, and rockfall quantity cannot be determined, so that the severe traffic and transportation environment of the current traffic and transportation cannot be determined according to weather forecast, and the warning of mountain rockfall and other severe traffic and transportation environments needs to be specially performed on a traffic and transportation route.
For example, one of the scenarios of the embodiment of the present invention may be applied to the scenario shown in fig. 1. The scene comprises the following steps: the system comprises a severe traffic transportation environment early warning system 101, a meteorological information system 102 and a traffic management information system 103; the weather information system 102 may be a system established by the national weather service for weather forecast, or a system established by other commercial weather service providers for weather forecast, in which weather data of a plurality of geographic positions (road segments) in each time period, namely, real-time data, prediction data of future time periods, and historical data of historical time periods are stored, and the types of the weather data include rainfall, disaster warning, and the like; the traffic management information system 103 may be a system established by the national traffic management department for managing a traffic road, and stores therein road sign information set for each road segment, such as road segment information provided with a rockfall reminding mark, and topographic information of each road segment; the early warning system 101 for the severe traffic environment can acquire weather information of a route area at the transportation time from the weather information system 102 after determining the route and the transportation time of the current traffic; acquiring a road section provided with a rockfall reminding mark in a route of the current transportation from the traffic management information system 103; then inputting the acquired meteorological information and the road section information with the rockfall reminding marks into a severe traffic environment early warning model, and early warning the severe traffic environment of the current traffic; the severe traffic environment early warning model comprises: mapping relation of rockfall and meteorological data and topographic data.
The above scenario is only one scenario example provided by the embodiment of the present invention, and the embodiment of the present invention is not limited to this scenario.
Referring to fig. 2, a flow chart of a method for warning of a severe traffic environment in an implementation of the present invention is shown, the method comprising:
s1, determining the route and the transportation time of the transportation;
wherein, the transportation route and the transportation time are set by the user.
The determining of the transportation route and the transportation time may be the transportation route and the transportation time of the transportation input or selected by the user, the historical transportation route and the transportation time confirmed by the user, or the default transportation route and the default transportation time.
S2, acquiring weather information of route path areas in the transportation time;
the weather information refers to weather forecast information at the time of transportation, specifically weather data capable of causing rockfall in mountains, at least comprises precipitation, and can be acquired from a weather information system of the national weather bureau.
S3, acquiring a road section with a rockfall reminding mark in the route;
the rockfall reminding mark refers to traffic reminding set by a road traffic management department, and is generally a signboard with characters of 'carefully falling rocks, paying attention to safety' or 'paying attention to falling rocks', and the rockfall reminding mark is set on a road section where rocks are easy to fall. The method comprises the steps of acquiring road sections with rockfall reminding marks in routes from an information system of a road traffic management department, counting the road sections with the rockfall reminding marks in each route in a field visiting mode to form a rockfall reminding mark database, and acquiring the road sections with the rockfall reminding marks in the routes from the rockfall reminding mark database.
S4, inputting the acquired meteorological information and the road section information with the rockfall reminding mark into a severe traffic environment early warning model, and outputting whether rockfall occurs and the rockfall amount during rockfall; the severe traffic environment early warning model comprises: mapping relation of rockfall and meteorological data and topographic data.
And S5, when the obtained rockfall amount exceeds a preset threshold value, the transportation is considered to belong to a severe traffic environment.
The early warning model of the severe traffic is a statistical model, and statistical analysis is carried out on topographic data of a road section provided with a rockfall reminding mark, historical rockfall data of the road section and historical meteorological data, wherein the topographic data at least comprises mountain height and soil saturation; the meteorological data at least comprises time, rainfall and continuous rainfall days; the rockfall data at least comprises rockfall time, rockfall particle size and rockfall amount, and the rockfall amount is converted into the percentage of the actual rockfall amount to the width of the highway in specific implementation; and obtaining the mapping relation between the rockfall amount and the meteorological data as well as the terrain data, and taking the mapping relation as a bad traffic early warning model. The severe traffic early warning model outputs whether falling rocks and the falling rocks amount when falling rocks according to the input meteorological information and the road section information with the falling rocks reminding mark, and when the obtained falling rocks amount exceeds a preset threshold value, the transportation is considered to belong to the severe traffic environment. The preset threshold value can be set according to the actual situation, if the rockfall amount accounts for 30% of the width of the road, the passing of vehicles is influenced, the possibility of rockfall again is high, and the transportation is judged to be a severe traffic environment.
Meanwhile, in consideration of the problems of incomplete recording, missing and small data amount of historical rockfall data, in a specific embodiment, disaster early warning data in meteorological data given by the national meteorological bureau, including mountain rockfall, can be used for acquiring historical disaster early warning data of the road section, and the historical disaster early warning data is used as supplementary data, specifically, the average value of the road section is measured according to the size of rockfall particles and the actual implementation; and establishing a severe traffic early warning model.
The establishment of the severe traffic early warning model specifically comprises the following steps:
s401, inputting meteorological data and topographic data as a WRF (weather Research forecasting) mode, setting mode operation parameters, and generating mixed lattice data by operating the WRF mode.
The WRF mode system is jointly developed by a small-scale meteorological place in the American national atmosphere research center, an environment simulation center and a forecasting research center of the American national environment forecasting center and a storm analysis and forecasting center of the university of Oklahoma, and is jointly supported by the national science fund and NOAA.
Acquiring meteorological data and topographic data, using the meteorological data and topographic data as input of a WRF mode, setting operation parameters of the WRF mode according to the researched time and space range, and generating mixed lattice data comprising meteorological elements, underlying surface attributes and mountain height. The weather data may be gfs (global weather system) data. Taking a certain road section (including a mountain on the side of the road section) as an example, the time is set to 1 day, a total of 100 (east-west) × 100 (north-south) meshes are provided in the road section, the resolution of each mesh is set to 0.1km, and then the WRF mode is operated.
S402: and extracting meteorological element grid point forecast data, underlying surface attribute grid point data and mountain height grid point data, and recording the falling rocks accident which occurs in each grid at the same time.
And (3) extracting meteorological elements, underlying surface attributes and mountain heights in each grid of the area by using WRF post-processing software such as NCL (national center of knowledge), ARWpost and the like, outputting the latitude and longitude range of each grid, and counting the falling rock accidents which occur in the same period in each grid according to the latitude and longitude range to obtain meteorological element grid point forecast data, underlying surface attribute grid point data, terrain height grid point data and falling rock data.
S403: and carrying out parametric modeling according to meteorological element grid point forecast data, underlying surface attribute grid point data, mountain height grid point data and rockfall data appearing in each grid in the S402.
According to the rockfall lattice point data in each grid, extracting meteorological elements such as rainfall, continuous rainfall days and the like, underlying surface types and terrain heights in corresponding grids at the same period, counting the meteorological elements such as the rainfall, the continuous rainfall days and the like, the underlying surface types and the feature parameters of mountain heights in the same period of rockfall accident history, counting threshold values of the feature parameters in each grid, and carrying out parametric modeling to obtain the mapping relation between rockfall and different feature parameters.
S404: and performing off-line forecasting simulation test on the established parameterized model by using the test sample set, issuing the model if the test passes, and returning to perform model optimization if the test does not pass.
Forecasting simulation test is carried out in an off-line mode of testing the sample set, the reliability of the model is analyzed, and if the test is passed, the model is released; if the test sample fails, the combination of the characteristic parameters is adjusted by adding or deleting the characteristic parameters according to the test sample of which the model early warning fails, and the model is optimized until the test passes.
According to the embodiment of the invention, the acquired meteorological data and the road section with the rockfall reminding mark are input into the severe traffic and transportation environment early warning model, the severe traffic and transportation environment early warning result is obtained and processed, the meteorological phenomena and the terrain are comprehensively considered, the early warning can be accurately carried out on the severe traffic and transportation environment of mountain rockfall caused by meteorological reasons, and the smoothness and the safety of traffic and transportation are ensured.
Corresponding to the early warning method for the severe traffic and transportation environment in the invention, the invention also provides an early warning system for the severe traffic and transportation environment, as shown in fig. 3, the early warning system comprises:
a route and time determination module 301, configured to determine a route and a transportation time of the current transportation;
a weather information acquisition module 302 for acquiring weather information of the route and route area at the transportation time determined by the route and time determination module 301; the meteorological information is meteorological data capable of causing falling rocks in mountains;
a road section obtaining module 303, configured to obtain a road section in which the rockfall reminder is set in the route determined by the route and time determining module 301;
the early warning module 304 is configured to input the weather information acquired by the weather information acquisition module 302 and the section information with the rockfall reminding mark acquired by the section acquisition module 303 into a severe traffic environment early warning model, and perform early warning on a severe traffic environment of the current transportation; the severe traffic environment early warning model comprises: mapping relation of rockfall and meteorological data and topographic data.
Further, the apparatus further comprises:
an early warning model building module 305 configured to: the mapping relation of rockfall, meteorological data and topographic data is obtained by carrying out statistical analysis on the topographic data of the road section provided with the rockfall reminding mark, the historical rockfall data of the road section and the historical meteorological data, and the mapping relation is used as a bad traffic early warning model.
For the embodiments of the present invention, the description is simple because it corresponds to the above embodiments, and for the related similarities, please refer to the description in the above embodiments, and the detailed description is omitted here.
The embodiment of the invention also discloses a computer-readable storage medium, wherein a computer instruction set is stored in the computer-readable storage medium, and when being executed by a processor, the computer instruction set realizes the early warning method for the severe traffic and transportation environment provided by any one of the above embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed technical contents can be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
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 units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. An early warning method for a severe traffic environment, the method comprising:
determining the route and the transportation time of the transportation;
acquiring meteorological information of a route path area under transportation time; the meteorological information is meteorological data capable of causing falling rocks in mountains;
acquiring a road section provided with a rockfall reminding mark in a route of the transportation;
inputting the acquired meteorological information and the road section information with the rockfall reminding marks into a severe traffic environment early warning model, and outputting whether rockfall occurs and the rockfall amount during rockfall; the severe traffic environment early warning model comprises: mapping relation of rockfall, meteorological data and topographic data;
and when the obtained rockfall amount exceeds a preset threshold value, the transportation is considered to belong to a severe traffic environment.
2. The method of claim 1, wherein the obtaining of weather information for the area of the route path at the time of the transportation comprises:
weather data are obtained from a weather information system of a national weather bureau, and weather information of a route area under transportation time is screened from the weather data.
3. The warning method for the severe transportation environment as claimed in claim 1, wherein the weather information at least comprises rainfall.
4. The early warning method for the severe traffic and transportation environment according to claim 1, wherein the step of obtaining the section of the route provided with the rockfall reminding mark comprises the following steps:
and acquiring the road sections with the rockfall reminding marks in the routes from an information system of a road traffic management department.
5. The early warning method for the severe traffic and transportation environment according to claim 1, wherein the step of obtaining the section of the route provided with the rockfall reminding mark comprises the following steps:
counting the road sections provided with the rockfall reminding marks in each route in a field visiting mode and forming a rockfall reminding mark database;
and acquiring the road section provided with the rockfall reminding mark in the transportation route from the rockfall reminding mark database.
6. The early warning method for the severe traffic transportation environment according to claim 1, wherein the severe traffic early warning model is a statistical model;
establishing a severe traffic early warning model, comprising:
the mapping relation of rockfall, meteorological data and topographic data is obtained by carrying out statistical analysis on the topographic data of the road section provided with the rockfall reminding mark, the historical rockfall data of the road section and the historical meteorological data, and the mapping relation is used as a bad traffic early warning model.
7. The method for warning in a severe traffic environment according to claim 6, wherein the historical rockfall data comprises: rockfall data in historical disaster early warning data provided by the national weather bureau.
8. An early warning device for a severe transportation environment, the device comprising:
the route and time determining module is used for determining the route and the transportation time of the transportation;
the meteorological information acquisition module is used for acquiring meteorological information of the route path area at the transportation time determined by the route and time determination module; the meteorological information is meteorological data capable of causing rockfall of a mountain;
the road section obtaining module is used for obtaining the road section which is provided with the rockfall reminding mark in the route determined by the route and time determining module;
the early warning module is used for inputting the meteorological information acquired by the meteorological information acquisition module and the road section information with the rockfall reminding mark acquired by the road section acquisition module into a severe traffic environment early warning model to early warn the severe traffic environment of the traffic transportation; the severe traffic environment early warning model comprises: mapping relation of rockfall and meteorological data and topographic data.
9. The warning device for a harsh transportation environment of claim 8, further comprising:
the early warning model building module is used for: the method comprises the steps of carrying out statistical analysis on topographic data of a road section provided with a rockfall reminding mark, historical rockfall data of the road section and historical meteorological data to obtain mapping relation between rockfall and meteorological data and the topographic data, and using the mapping relation as a severe traffic early warning model.
10. A computer-readable storage medium storing a set of computer instructions which, when executed by a processor, implement a method of pre-warning of a severe transportation environment as claimed in any one of claims 1 to 7.
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