CN112488477B - Expressway emergency management system and method - Google Patents
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Abstract
The invention discloses a highway emergency management system and a method, wherein the system comprises the following steps: the meteorological monitoring subsystem is used for collecting first meteorological data of each road section of the expressway; the big data analysis subsystem is used for predicting and obtaining first weather forecast information of each road section according to the first weather data; the forecast and early-warning subsystem is used for carrying out weather forecast according to the first weather forecast information, determining a risk road section and disaster early-warning information according to the first weather forecast information, and carrying out early-warning prompt according to the disaster early-warning information; the emergency processing subsystem is used for acquiring road conditions of the risk road sections to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road sections in a preset emergency plan library to obtain a first emergency plan. The invention can realize accurate expressway weather forecast, and can be quickly matched with a proper emergency plan so as to make corresponding emergency measures in time, thereby being widely applied to the technical field of intelligent traffic control.
Description
Technical Field
The invention relates to the technical field of intelligent traffic control, in particular to an expressway emergency management system and method.
Background
In recent years, with the increase of traffic network density, public trip safety is receiving more and more public attention from society. Traffic engineering, especially highway, has increasingly heavy tasks in road network operation and maintenance safety and disaster emergency management, and the highway weather monitoring and traffic safety forum has continuously held 22 times, but the development is slow in terms of the current overall situation, and according to investigation situation analysis, the current highway road network disaster forecast and emergency management have the following problems:
(1) The monitoring is taken as the main part, the forecasting means is insufficient, the pre-judgment in advance can not be realized, and certain hysteresis exists in the aspects of traffic emergency dispatch and resource coordination.
(2) Meteorological monitoring operates alone, cannot form a network with traffic structures, road condition damages, geological disasters and the like, and the comprehensive judgment capability is insufficient.
(3) The weather prediction means is single, and accurate prediction of expressway weather cannot be realized.
Besides, the traffic weather service level of China mainly depends on the forecast of weather bureaus (the weather industry is not opened towards enterprises before 15 years) in each province, and part of the traffic weather service level depends on real-time highway line observation data, and the weather bureaus serve as government service units, so that more attention is paid to macroscopic weather, and the provided data and service cannot be applicable to the requirements of road refinement service.
With the implementation of the national intelligent high-speed strategy, the final objective of information release, vehicle-road coordination and intelligent perception is to realize safe and efficient travel. Weather is an important factor in the occurrence of traffic disasters, and becomes the most important component parameter indispensable to the traffic disasters. The simple real-time monitoring in the past cannot meet the requirement of intelligent high-speed construction, and if the road network coordination and the safe operation and maintenance level are to be further improved, a pre-forecast system is to be imported.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art to a certain extent.
It is therefore an object of embodiments of the present invention to provide a highway emergency management system.
Another object of the embodiment of the invention is to provide a highway emergency management method.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:
In a first aspect, an embodiment of the present invention provides an expressway emergency management system, including:
The meteorological monitoring subsystem is used for collecting first meteorological data of each road section of the expressway;
the big data analysis subsystem is used for predicting and obtaining first weather forecast information of each road section according to the first weather data;
The forecast and early-warning subsystem is used for carrying out weather forecast according to the first weather forecast information, determining a risk road section and disaster early-warning information according to the first weather forecast information, and carrying out early-warning prompt according to the disaster early-warning information;
The emergency processing subsystem is used for acquiring road conditions of the risk road section to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road section in a preset emergency plan library to obtain a first emergency plan.
Further, in one embodiment of the present invention, the first weather data includes visibility data, rainfall data, wind direction and wind speed data, temperature and humidity data, air pressure data, and road surface data, and the weather monitoring subsystem includes a visibility sensor, a rainfall sensor, a wind direction and wind speed sensor, a temperature and humidity sensor, an air pressure sensor, and a road surface sensor.
Further, in one embodiment of the present invention, the big data analysis subsystem comprises:
the weather prediction model training module is used for training according to historical weather monitoring data to obtain a weather prediction model;
The weather statistical model construction module is used for constructing a weather statistical model according to the historical weather monitoring data and the historical weather prediction data;
The weather prediction module is used for predicting second weather prediction information of each road section according to the first weather data and the weather prediction model, and correcting the second weather prediction information according to the weather statistical model to obtain the first weather prediction information.
Further, in one embodiment of the present invention, the forecast pre-warning subsystem includes:
the weather forecast module is used for displaying the first weather forecast information to a user through characters, voice or images;
The risk determination module is used for determining a risk road section with weather disaster hidden danger according to the first weather forecast information and generating corresponding disaster early warning information;
The weather early warning module is used for displaying the disaster early warning information to a user through characters, voice or images;
the first weather prediction information comprises storm probability, freezing probability, snow storm probability, fog probability, wind probability and landslide probability.
Further, in one embodiment of the present invention, the emergency treatment subsystem includes:
The unmanned aerial vehicle control platform is used for collecting road conditions of the risk road sections to obtain first road condition information;
The emergency plan module is used for storing an emergency plan library set according to different road conditions and different meteorological conditions;
and the matching module is used for matching the emergency plan library according to the first road condition information and the first weather forecast information of the risk road section to obtain a first emergency plan.
Further, in one embodiment of the present invention, the highway emergency management system further comprises:
and the bridge health monitoring subsystem is used for monitoring each bridge of the expressway and acquiring displacement data, deflection data, first stress strain data, first vibration data and first crack data of each bridge.
Further, in one embodiment of the present invention, the highway emergency management system further comprises:
and the slope monitoring subsystem is used for monitoring each slope of the expressway and acquiring surface displacement data, deep displacement data, first groundwater level data and first soil body stress data of each slope.
Further, in one embodiment of the present invention, the highway emergency management system further comprises:
and the tunnel monitoring subsystem is used for monitoring each tunnel of the expressway and acquiring convergence data, settlement data, second crack data, second stress strain data and second vibration data of each tunnel.
Further, in one embodiment of the present invention, the highway emergency management system further comprises:
the geological disaster monitoring subsystem is used for detecting each geological monitoring point of the expressway and acquiring surface deformation data, rainfall data, soil moisture content data, second groundwater level data, surface crack data, deep deformation data and second soil stress data of each geological monitoring point.
In a second aspect, an embodiment of the present invention provides a highway emergency management method, including the following steps:
Collecting first meteorological data of each section of the expressway;
Predicting first weather forecast information of each road section according to the first weather data;
Weather forecast is carried out according to the first weather forecast information, a risk road section and disaster early warning information are determined according to the first weather forecast information, and early warning prompt is carried out according to the disaster early warning information;
and acquiring road conditions of the risk road sections to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road sections in a preset emergency plan library to obtain a first emergency plan.
The advantages and benefits of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
The method comprises the steps of collecting weather data of all road sections of a highway through the weather monitoring subsystem, analyzing the weather data through the big data analyzing subsystem, predicting to obtain weather prediction information of all road sections, forecasting the weather prediction information through the forecasting and early-warning subsystem, carrying out disaster early-warning prompt on the road sections with risks, collecting road conditions of the risk road sections through the emergency processing subsystem, and obtaining corresponding emergency plans by combining real-time road conditions of the risk road sections with weather prediction information matching. According to the embodiment of the invention, accurate highway weather forecast can be realized through real-time monitoring, analysis and evaluation of weather data, and a proper emergency plan can be matched according to real-time road conditions and weather forecast information, so that corresponding emergency scheduling and resource coordination can be conveniently and timely performed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will refer to the drawings that are needed in the embodiments of the present invention, and it should be understood that the drawings in the following description are only for convenience and clarity to describe some embodiments in the technical solutions of the present invention, and other drawings may be obtained according to these drawings without any inventive effort for those skilled in the art.
FIG. 1 is a flow chart of steps of a highway emergency management method according to an embodiment of the present invention;
FIG. 2 is a block diagram of an emergency management system for highway according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a weather prediction model according to an embodiment of the present invention;
FIG. 4 is a schematic diagram showing weather forecast information of a personal terminal according to an embodiment of the present invention;
FIG. 5 is a schematic diagram showing weather forecast information of a regional route planning screen according to an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of an unmanned aerial vehicle control platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention. The step numbers in the following embodiments are set for convenience of illustration only, and the order between the steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.
In the description of the present invention, the plurality means two or more, and if the description is made to the first and second for the purpose of distinguishing technical features, it should not be construed as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the precedence of the indicated technical features. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.
Referring to fig. 2, an embodiment of the present invention provides an expressway emergency management system, including:
The meteorological monitoring subsystem is used for collecting first meteorological data of each road section of the expressway;
the big data analysis subsystem is used for predicting and obtaining first weather forecast information of each road section according to the first weather data;
The forecast and early-warning subsystem is used for carrying out weather forecast according to the first weather forecast information, determining a risk road section and disaster early-warning information according to the first weather forecast information, and carrying out early-warning prompt according to the disaster early-warning information;
the emergency processing subsystem is used for acquiring road conditions of the risk road sections to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road sections in a preset emergency plan library to obtain a first emergency plan.
The method comprises the steps of collecting weather data of all road sections of a highway through the weather monitoring subsystem, analyzing the weather data through the big data analyzing subsystem, predicting to obtain weather prediction information of all road sections, forecasting the weather prediction information through the forecasting and early-warning subsystem, carrying out disaster early-warning prompt on the road sections with risks, collecting road conditions of the risk road sections through the emergency processing subsystem, and obtaining corresponding emergency plans by combining real-time road conditions of the risk road sections with weather prediction information matching. According to the embodiment of the invention, accurate highway weather forecast can be realized through real-time monitoring, analysis and evaluation of weather data, and a proper emergency plan can be matched according to real-time road conditions and weather forecast information, so that corresponding emergency scheduling and resource coordination can be conveniently and timely performed.
Further optional embodiments, the first weather data includes visibility data, rainfall data, wind direction and wind speed data, temperature and humidity data, air pressure data, and road surface data, and the weather monitoring subsystem includes a visibility sensor, a rainfall sensor, a wind direction and wind speed sensor, a temperature and humidity sensor, an air pressure sensor, and a road surface sensor.
Specifically, the weather monitoring subsystem is a high-intelligent system for automatically monitoring weather data, is suitable for various severe field environments, can be unattended, and has full-automatic weather data acquisition, storage, processing and transmission functions. The system consists of three main parts of a meteorological data acquisition and communication system, a sensor and a central control system. The embedded data collector is a key part of the system and consists of a CPU, an analog measurement channel, a digital measurement channel, an intelligent communication port, a data memory, an Ethernet interface, a power supply, lightning protection and other devices. The system can accurately collect meteorological data and upload the meteorological data in time, provide intelligent judgment on whether to alarm or not, and actively upload alarm information. The system can support various communication modes such as GPRS and the like, effectively solves the regional problem of equipment installation, and improves the networking flexibility. The concrete explanation is as follows:
(1) The system adopts a highly modularized and intelligent design, can meet the needs from simple to complex, and can be used for large-scale remote monitoring;
(2) The acquisition of the system can reach 96 points at maximum through an analog channel (AI) and a digital channel (DI) of the embedded acquisition device, and the expansion means is that an I/O module is connected in a bus mode through an expansion board. Providing sufficient intelligent sensor access ports, and being capable of being matched with various types of intelligent sensors in large quantity;
(3) The embedded data collector core adopts powerpc bit CPU of Motorola company powerpc in U.S. to reach 66MHz. An embedded real-time Linux operating system is adopted to support the secondary development of users and provide the AP of the I/O equipment;
(4) The system is matched with an inlet visibility meter and a road surface condition sensor, and has the characteristics of sensitive response, high acquisition precision, easiness in installation, long-term maintenance-free property and the like;
(5) The data storage adopts an electronic hard Disk (DOC) mode, and can be stored and expanded according to different requirements;
(6) The system supports a plurality of remote communication modes and protocols (such as Internet, telephone, GPRS, GPS and the like), has strong fault tolerance capability, and can automatically correct external interference or sensor burst faults;
(7) The sensor mainly comprises a visibility sensor, a rainfall sensor, an ultrasonic wind direction and speed sensor, a temperature and humidity sensor, a pavement sensor and the like, and is connected with the data acquisition device through modes such as an analog acquisition channel, a digital acquisition channel, a 485 or 232 serial port and the like;
(8) The visibility meter suitable for highway monitoring can accurately measure the visibility, and has the functions of distinguishing rainfall and fog; the road surface sensor has all measuring parts contained in the outdoor casing, and the provided measuring contents include surface temperature measuring parts (road surface temperature, two probes for measuring temperature below the ground), icing temperature, road condition (dry, wet, frozen, snow), salt content measurement and road surface water film thickness.
Further as an alternative embodiment, the big data analysis subsystem comprises:
the weather prediction model training module is used for training according to historical weather monitoring data to obtain a weather prediction model;
The weather statistical model construction module is used for constructing a weather statistical model according to the historical weather monitoring data and the historical weather prediction data;
the weather prediction module is used for predicting second weather prediction information of each road section according to the first weather data and the weather prediction model, and correcting the second weather prediction information according to the weather statistical model to obtain first weather prediction information.
Specifically, the big data analysis subsystem utilizes the two-big-tip technology of AI machine learning and big data, and the accurate prediction range can be reduced to 500 meters on the basis of a global mode through a self-built operation center, and the main technical advantages include:
(1) Establishing a high-resolution weather prediction model according to the conditions of regions, weather and the like, training the model by using historical weather data through machine learning, and then establishing a mapping relation between large-scale model prediction and small-scale effect so as to improve the accuracy of weather prediction;
(2) Since predictions are made based essentially on historical data, the computational effort of statistical methods is several orders of magnitude smaller than numerical methods, so the cost per prediction is much lower. In practical applications, statistical methods have great advantages in short-term prediction over multiple frequencies. The system combines statistics to establish the connection between measured data and predicted data so as to predict weather information in a future period of time;
(3) And the prediction accuracy is further improved by combining the prediction model and the statistical model through the acquisition and analysis of data such as weather, geography, environment and the like based on the meteorological data mining of big data.
The embodiment of the invention uses a model simulation (model simulation) method to establish a statistical model very close to a numerical model. Some of the weather prediction scenes are realized through an atmospheric physical mode, but some of the scenes are impossible or unreasonable to use the mode, and the statistical approach is the best choice under the scenes, so that the mode simulation (model simulation) has good effect in weather prediction. On the other hand, the prediction accuracy can be further improved by collecting and analyzing data such as weather, geography, environment and the like to form big data and combining a prediction model and a statistical model, and the application value of a prediction result can be further improved along with the short improvement of the computing capacity and the mode algorithm.
Fig. 3 is a schematic diagram of a weather prediction model provided by the embodiment of the present invention, where the weather prediction model is obtained through training of a deep learning neural network, and weather prediction information of an area can be obtained according to an input area weather data set.
Further as an optional embodiment, the forecast pre-warning subsystem includes:
The weather forecast module is used for displaying first weather forecast information to a user through characters, voice or images;
The risk determination module is used for determining a risk road section with weather disaster hidden danger according to the first weather forecast information and generating corresponding disaster early warning information;
The weather early warning module is used for displaying disaster early warning information to a user through characters, voice or images;
the first weather prediction information comprises storm probability, freezing probability, snow storm probability, fog probability, wind probability and landslide probability.
Specifically, the weather forecast module comprises a monitoring dispatching command center, a personal terminal, a regional route planning screen and the like, wherein the monitoring dispatching command center can display weather forecast information through a monitoring large screen, the display content is weather conditions and weather disaster forecast data of each region and each line, and accurate weather data is provided for traffic duty; the personal terminal can display the current position, the surrounding area, the real-time weather conditions of all areas, the future weather disaster data and the like, and assist the duty personnel to master weather disasters occurring in different time and space, as shown in fig. 4, which is a weather forecast information display schematic diagram of the personal terminal provided by the embodiment of the invention; the regional route planning screen can divide the regional route into regional routes and branch routes, and particularly provides grid weather forecast data and weather disaster data for the key routes to be displayed on the screen, and as shown in fig. 5, weather forecast information display schematic diagrams of the regional route planning screen provided by the embodiment of the invention are shown.
According to the embodiment of the invention, the risk road section with the weather disaster hidden danger in the future period can be determined according to the first weather forecast information, the corresponding disaster early warning information is generated to carry out early warning prompt on the users positioned in the risk road section and the surrounding area, and meanwhile, the follow-up timely emergency measures on the risk road section are facilitated.
Further as an alternative embodiment, the emergency treatment subsystem includes:
The unmanned aerial vehicle control platform is used for collecting road conditions of the risk road sections to obtain first road condition information;
The emergency plan module is used for storing an emergency plan library set according to different road conditions and different meteorological conditions;
and the matching module is used for matching the first condition information with the first weather forecast information of the risk road section in the emergency plan library to obtain a first emergency plan.
Specifically, the structure of the unmanned aerial vehicle control platform is shown in fig. 6, and comprises an police unmanned aerial vehicle, a wireless remote controller, a base station, a public security private network, a public network unmanned aerial vehicle management platform, a local unmanned aerial vehicle management platform, an unmanned aerial vehicle traffic management platform, an NVR server and a centralized command platform. In the embodiment of the invention, the three-dimensional live-action and video fusion display technology is adopted, the three-dimensional live-action modeling of a risk road section can be realized through technologies such as unmanned aerial vehicle, high-precision satellite map modeling and the like, perfect fusion can be realized with video image monitoring such as unmanned aerial vehicle, electronic police, high-point monitoring and the like, real-time traffic flow, event alarm information and weather forecast information are intuitively displayed in a live-action map, and a manager can intuitively know traffic conditions and weather information of a highway in real time so as to conveniently make emergency decisions.
In the embodiment of the invention, the emergency plan library is provided with the emergency plans which are pre-planned according to different road conditions and different meteorological conditions, and after the unmanned control platform collects the real-time road condition information of the risk road section, the real-time road condition information and the meteorological prediction information of the risk road section can be subjected to similarity matching, so that the emergency plan with the highest similarity is selected, and the emergency plan can be conveniently and accurately executed subsequently, so that emergency scheduling and resource coordination can be timely and accurately carried out.
Further as an alternative embodiment, the highway emergency management system further includes:
and the bridge health monitoring subsystem is used for monitoring each bridge of the expressway and acquiring displacement data, deflection data, first stress strain data, first vibration data and first crack data of each bridge.
Specifically, the bridge health monitoring subsystem consists of three layers, namely a data acquisition layer, a data transmission layer and a data management layer. After the sensor is installed on the bridge and the acquisition instrument is connected to transmit acquired data to the data acquisition controller for preliminary processing of the data, the data is transmitted to the cloud platform, real-time online monitoring of the bridge is achieved, and monitoring indexes mainly comprise displacement, deflection, stress strain, vibration, cracks and the like.
Further as an alternative embodiment, the highway emergency management system further includes:
and the slope monitoring subsystem is used for monitoring each slope of the expressway and acquiring surface displacement data, deep displacement data, first groundwater level data and first soil body stress data of each slope.
Specifically, the slope monitoring subsystem is based on the slope automation monitoring early warning solution of the ultra-high precision measurement of the superficial settlement displacement and the inclination displacement, and the system can carry out remote automation monitoring on the slope, can carry out real-time analysis on monitoring data and timely carry out early warning reaction. The monitoring indexes mainly comprise surface displacement, deep displacement, groundwater level, soil body stress and the like.
Further as an alternative embodiment, the highway emergency management system further includes:
And the tunnel monitoring subsystem is used for monitoring each tunnel of the expressway and acquiring convergence data, settlement data, second crack data, second stress strain data and second vibration data of each tunnel.
Specifically, the tunnel monitoring subsystem mainly comprises two parts, namely structural health monitoring and in-tunnel traffic environment monitoring, wherein the structural health monitoring mainly monitors the convergence, settlement, cracking, strain and vibration of a tunnel through various monitoring sensors, and the sensors of each measuring item adopt monitoring points arranged according to the actual condition of the tunnel; the tunnel environment monitoring mainly comprises the tunnel inner passing environment monitoring (gas open fire), road condition monitoring (congestion, detention and the like), entrance environment monitoring (entrance side slope, ponding and large fog), data acquired by each sensor are transmitted to the data acquisition controller in real time to be subjected to preliminary data processing, and then the data are transmitted to the cloud platform, so that the remote real-time on-line monitoring of the tunnel is realized.
Further as an alternative embodiment, the highway emergency management system further includes:
And the geological disaster monitoring subsystem is used for detecting each geological monitoring point of the expressway and acquiring surface deformation data, rainfall data, soil moisture content data, second groundwater level data, surface crack data, deep deformation data and second soil stress data of each geological monitoring point.
Specifically, the geological disaster has the characteristics of wide distribution range, frequent movement, serious hazard and the like, the types of the geological disaster mainly comprise collapse, landslide, debris flow, ground collapse, sedimentation, ground cracks and the like, and the indexes mainly monitored by the geological disaster monitoring system comprise ground surface deformation, rainfall, soil moisture content, groundwater level, ground surface cracks, deep deformation, soil body stress and the like.
In the embodiment of the invention, the meteorological monitoring, bridge health detection, side slope monitoring, tunnel monitoring and geological disaster detection are integrated into the network, and the risk road section and disaster information can be more accurately determined through comprehensive analysis and judgment of the big data analysis subsystem, so that relevant emergency measures can be conveniently taken in time, and smooth traffic of the expressway is ensured.
According to the embodiment of the invention, the influence of future meteorological conditions on road operation is estimated through data analysis, and countermeasures are formulated, so that normal and safe operation of a road is ensured, and meanwhile, real-time road information can be provided for road maintenance personnel, thereby being beneficial to reasonable maintenance and management of the expressway.
Referring to fig. 1, an embodiment of the present invention provides an emergency management method for expressways, including the steps of:
S101, collecting first meteorological data of each road section of a highway;
s102, predicting and obtaining first weather forecast information of each road section according to the first weather data;
S103, weather forecast is carried out according to the first weather forecast information, a risk road section and disaster early warning information are determined according to the first weather forecast information, and early warning prompt is carried out according to the disaster early warning information;
S104, acquiring road conditions of the risk road sections to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road sections in a preset emergency plan library to obtain a first emergency plan.
The content in the system embodiment is applicable to the method embodiment, the functions specifically realized by the method embodiment are the same as those of the system embodiment, and the achieved beneficial effects are the same as those of the system embodiment.
The embodiment of the invention provides an expressway emergency management device, which comprises:
At least one processor;
At least one memory for storing at least one program;
The at least one program, when executed by the at least one processor, causes the at least one processor to implement a highway emergency management method as described above.
The content in the method embodiment is applicable to the embodiment of the device, and the functions specifically realized by the embodiment of the device are the same as those of the method embodiment, and the obtained beneficial effects are the same as those of the method embodiment.
The embodiment of the present invention also provides a computer-readable storage medium in which a processor-executable program is stored, which when executed by a processor is used to perform an expressway emergency management method as described above.
The computer readable storage medium of the embodiment of the invention can execute the method for managing the expressway emergency provided by the embodiment of the invention, can execute the steps of any combination implementation of the embodiment of the method, and has the corresponding functions and beneficial effects of the method.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 1.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the present invention has been described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the functions and/or features described above may be integrated in a single physical device and/or software module or one or more of the functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.
The above functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or a part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above-described method of the various embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium upon which the program described above is printed, as the program described above may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the foregoing description of the present specification, reference has been made to the terms "one embodiment/example", "another embodiment/example", "certain embodiments/examples", and the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the above embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present application, and these equivalent modifications and substitutions are intended to be included in the scope of the present application as defined in the appended claims.
Claims (9)
1. An expressway emergency management system, comprising:
The meteorological monitoring subsystem is used for collecting first meteorological data of each road section of the expressway;
the big data analysis subsystem is used for predicting and obtaining first weather forecast information of each road section according to the first weather data;
The forecast and early-warning subsystem is used for carrying out weather forecast according to the first weather forecast information, determining a risk road section and disaster early-warning information according to the first weather forecast information, and carrying out early-warning prompt according to the disaster early-warning information;
the emergency processing subsystem is used for acquiring road conditions of the risk road section to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road section in a preset emergency plan library to obtain a first emergency plan;
The big data analysis subsystem comprises:
the weather prediction model training module is used for training according to historical weather monitoring data to obtain a weather prediction model;
The weather statistical model construction module is used for constructing a weather statistical model according to the historical weather monitoring data and the historical weather prediction data;
The weather prediction module is used for predicting second weather prediction information of each road section according to the first weather data and the weather prediction model, and correcting the second weather prediction information according to the weather statistical model to obtain the first weather prediction information.
2. The highway emergency management system according to claim 1, wherein: the first weather data comprise visibility data, rainfall data, wind direction and wind speed data, temperature and humidity data, air pressure data and pavement data, and the weather monitoring subsystem comprises a visibility sensor, a rainfall sensor, a wind direction and wind speed sensor, a temperature and humidity sensor, an air pressure sensor and a pavement sensor.
3. The highway emergency management system according to claim 1, wherein said predictive early warning subsystem comprises:
the weather forecast module is used for displaying the first weather forecast information to a user through characters, voice or images;
The risk determination module is used for determining a risk road section with weather disaster hidden danger according to the first weather forecast information and generating corresponding disaster early warning information;
The weather early warning module is used for displaying the disaster early warning information to a user through characters, voice or images;
the first weather prediction information comprises storm probability, freezing probability, snow storm probability, fog probability, wind probability and landslide probability.
4. The highway emergency management system of claim 1, wherein the emergency treatment subsystem comprises:
The unmanned aerial vehicle control platform is used for collecting road conditions of the risk road sections to obtain first road condition information;
The emergency plan module is used for storing an emergency plan library set according to different road conditions and different meteorological conditions;
and the matching module is used for matching the emergency plan library according to the first road condition information and the first weather forecast information of the risk road section to obtain a first emergency plan.
5. The highway emergency management system according to any one of claims 1 to 4, further comprising:
and the bridge health monitoring subsystem is used for monitoring each bridge of the expressway and acquiring displacement data, deflection data, first stress strain data, first vibration data and first crack data of each bridge.
6. The highway emergency management system according to any one of claims 1 to 4, further comprising:
and the slope monitoring subsystem is used for monitoring each slope of the expressway and acquiring surface displacement data, deep displacement data, first groundwater level data and first soil body stress data of each slope.
7. The highway emergency management system according to any one of claims 1 to 4, further comprising:
and the tunnel monitoring subsystem is used for monitoring each tunnel of the expressway and acquiring convergence data, settlement data, second crack data, second stress strain data and second vibration data of each tunnel.
8. The highway emergency management system according to any one of claims 1 to 4, further comprising:
the geological disaster monitoring subsystem is used for detecting each geological monitoring point of the expressway and acquiring surface deformation data, rainfall data, soil moisture content data, second groundwater level data, surface crack data, deep deformation data and second soil stress data of each geological monitoring point.
9. The highway emergency management method is characterized by comprising the following steps of:
Collecting first meteorological data of each section of the expressway;
Predicting first weather forecast information of each road section according to the first weather data;
Weather forecast is carried out according to the first weather forecast information, a risk road section and disaster early warning information are determined according to the first weather forecast information, and early warning prompt is carried out according to the disaster early warning information;
Acquiring road conditions of the risk road sections to obtain first road condition information, and matching the first road condition information with first weather forecast information of the risk road sections in a preset emergency plan library to obtain a first emergency plan;
the step of predicting the first weather forecast information of each road section according to the first weather data specifically includes:
training according to historical meteorological monitoring data to obtain a meteorological prediction model;
constructing a weather statistical model according to the historical weather monitoring data and the historical weather forecast data;
And predicting second weather forecast information of each road section according to the first weather data and the weather forecast model, and correcting the second weather forecast information according to the weather statistical model to obtain the first weather forecast information.
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| CN113192415A (en) * | 2021-05-18 | 2021-07-30 | 贵州省交通规划勘察设计研究院股份有限公司 | Expressway billboard time-sharing display and management system |
| CN113538945B (en) * | 2021-07-05 | 2022-05-20 | 大连海事大学 | Early warning method, system and storage medium for severe traffic environment |
| CN114822018A (en) * | 2022-04-02 | 2022-07-29 | 北华大学 | Detection method for improving road traffic safety |
| CN116740935B (en) * | 2023-06-26 | 2024-04-30 | 河北高速公路集团有限公司 | Expressway environment prediction method, device, equipment and storage medium |
| CN116775665B (en) * | 2023-08-24 | 2023-10-27 | 云南省交通投资建设集团有限公司 | Full-automatic task release system based on daily operation and maintenance management of expressway |
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