CN114363316A - Intelligent networking monitoring and supervision system for cross-regional road infrastructure - Google Patents
Intelligent networking monitoring and supervision system for cross-regional road infrastructure Download PDFInfo
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Abstract
The invention discloses an intelligent networking monitoring and supervising system for cross-regional road infrastructure, which comprises: the monitoring module is used for monitoring multi-parameter data at different positions on a plurality of roads in a road network; the communication module is used for preprocessing the multi-parameter data and transmitting the multi-parameter data to the cloud center; the cloud center is used for receiving and analyzing the preprocessed multi-parameter data to generate an analysis result; the decision module is used for generating a plurality of decision schemes based on the analysis result and is selected and executed by the staff; the display module is used for displaying the road network and the decision scheme. According to the invention, the outgoing is processed in one step through distributed edge computing, so that the cloud center computing amount is reduced, and the processing efficiency is improved; a feasible scheme is generated fully automatically through a decision module, and the automation degree of management is improved; and the two-dimensional and three-dimensional switching and checking mode of the road network improves the monitoring precision and the supervision efficiency.
Description
Technical Field
The invention belongs to the field of road supervision, and particularly relates to an intelligent networking monitoring and supervision system for cross-regional road infrastructure.
Background
The highway in China basically realizes 'coverage net formation', the infrastructure digitization at the present stage mostly adopts a 2D GIS map for data display, deep application research is less combined with the fusion of building data and the data management and analysis capability, the information of a two-dimensional image is flat, the horizontal and longitudinal correlation is weak, and the data information is difficult to be transmitted to the stages of supervision, construction and operation and maintenance.
The information island phenomenon exists in the process of managing the highway, different information systems and databases are applied to various projects and professions, technical means are different among the systems, data standards are not uniform, and information is dispersed and lacks integrity. And the traditional management scheme is not high in digitization level, inaccurate in precision and poor in information interactivity, some infrastructures are simply recorded in a standing book mode, certain difficulty is brought to maintenance management in the later period, unified management and monitoring of a road network level cannot be formed, one-stop management cannot be performed, the existing road network level management system has the problem of slow data transmission, key information lag can be caused, in addition, the processing speed is low due to the fact that the data volume of a road network is large, the efficiency of real-time supervision cannot be guaranteed, and a great deal of problems existing in the prior art are faced with urgent need of a method for solving.
Disclosure of Invention
The invention aims to provide an intelligent networking monitoring and supervising system for cross-regional road infrastructure, which aims to solve the problems in the prior art.
In order to achieve the above object, the present invention provides an intelligent networking monitoring and supervision system for cross-regional road infrastructure, comprising:
the cloud center comprises a monitoring module, a communication module, a cloud center, a decision module and a display module;
the monitoring module is used for monitoring multi-parameter data at different positions on a plurality of roads in a road network;
the communication module is used for preprocessing the multi-parameter data and transmitting the multi-parameter data to the cloud center;
the cloud center is used for receiving and analyzing the preprocessed multi-parameter data to generate an analysis result;
the decision module is used for generating a plurality of decision schemes based on the analysis result and is selected by the staff to execute;
the display module is used for displaying the road network and the decision scheme.
Optionally, the monitoring module includes a vehicle speed monitoring module, a traffic monitoring module, a weather monitoring module, a road surface monitoring module, a toll station data monitoring module and a road video monitoring module.
Optionally, the multi-parameter data includes vehicle speed data, traffic data, meteorological data, road surface data, toll station data and road video data;
wherein the traffic data includes a number of vehicles passing the traffic monitoring module;
the road surface data comprises a road surface damage degree and a road surface old degree;
the toll station data comprises an entrance toll station of the vehicle, an exit toll station of the vehicle, the high-speed entering time and the high-speed exiting time;
the road video data includes video data of vehicles and video data of the ground.
Optionally, the communication module includes a data transceiver module and an edge calculation module;
the edge computing module is used for processing the received multi-parameter data based on a distributed edge computing technology and performing priority division on the processed data;
the data transceiver module is used for receiving and transmitting the multi-parameter data, wherein the data is transmitted based on the priority level of the priority when being transmitted.
Optionally, the edge calculation module includes a data processing module and a priority division module;
the data processing module is used for processing the multi-parameter data, deleting useless data, obtaining a congestion index based on the vehicle speed data and the traffic data, obtaining a meteorological index based on the meteorological data, and obtaining a road index based on the road data;
the process of obtaining the congestion index comprises the following steps: carrying out weighted average calculation on the traffic data and the vehicle speed data to obtain average traffic volume and average vehicle speed of each hour, and then obtaining a traffic jam index according to the difference between the average traffic volume and a preset traffic volume;
the priority division module is used for carrying out priority division on the processed data, dividing the congestion index into a first-level priority, dividing the meteorological index into a second-level priority and dividing the road index into a third-level priority, wherein the priority of the first-level priority is the highest.
Optionally, the cloud center includes a congestion analysis module, a weather analysis module, a road surface analysis module, and an accident analysis module;
the congestion analysis module is configured to generate traffic congestion levels based on the traffic congestion indexes, and rank the traffic congestion indexes of all road segments in a road network based on different traffic congestion levels, where the traffic congestion levels include: the method comprises the steps of smoothing, basically smoothing, slightly blocking, moderately blocking and severely blocking, and calculating predicted blocking time and blocking length of a blocked road section, probability of blocking the congested road section in a road network and predicted blocking level of the congested road section;
the weather analysis module is used for generating a weather grade based on the weather index, and is also used for generating a weather diffusion grade of the influence of weather conditions of the current road section on the surrounding road section and predicting the time for eliminating the influence;
the road surface analysis module is used for generating a road surface grade based on the road surface index, and is also used for generating an influence index of the road surface grade on other road sections in a road network and a congestion tendency estimated according to historical data and the influence index;
the accident analysis module is used for carrying out video check on the congested road sections according to the ranking of the congestion indexes, judging whether accidents exist or not, judging accident attributes and obtaining accident geographic positions if the accidents exist, predicting congestion time and congestion levels to be caused by the accidents based on the traffic data and the congestion indexes, and analyzing the range of influence on other road sections in the road network.
Optionally, the decision module includes a congestion elimination module, a maintenance module, a road section closing module and an accident handling module;
the congestion elimination module is used for traversing the surrounding roads in the road network based on the predicted congestion time, the predicted congestion length, the possibility of causing congestion on other surrounding road sections and the predicted congestion level, analyzing a feasible detour route, generating a shunting detour decision scheme, marking the road section if no detour scheme exists, listing the road section as a road section to be expanded, processing the road section to be expanded based on congestion ranking, and generating a construction decision scheme based on the influence degree of expansion fund and expansion length on the surrounding roads;
the maintenance module is used for analyzing an influence coefficient of a road surface grade on congestion at the congestion road section, if the influence coefficient is higher than a preset threshold value, the corresponding road section is listed as a road section to be maintained, and a maintenance decision is generated based on maintenance cost of the maintenance road section and the influence coefficient of the maintenance road section on the same condition of the peripheral road section;
the road section closing module is used for comparing the weather grade with a preset weather grade threshold, if the weather grade is more than or equal to the preset weather grade threshold, generating a road section closing scheme, predicting a future weather change rule through weather information and actual weather data, judging the influence range and the influence coefficient of weather on a road network according to the future weather change rule, making a decision for closing the influenced road section in advance according to the influence coefficient and the influence range, taking the current road section which is not influenced by weather as a detouring road section to be selected, determining the future road section which is not influenced by weather as the future detouring road section to be selected according to the time required for eliminating the weather influence, and generating the detouring decision scheme based on the detouring road section to be selected and the future detouring road section to be selected;
the accident processing module is used for generating a decision scheme for transferring peripheral emergency resources and a decision scheme for dispatching emergency personnel based on the accident attributes and the accident geographic position, and is also used for traversing feasible detouring road sections around the road where the accident position is located and generating a plurality of detouring schemes.
Optionally, the display module includes a two-dimensional road network display module, a three-dimensional road network display module, an analysis result display module, a two-dimensional and three-dimensional switching module, and a decision preview module;
the two-dimensional road network display module is used for displaying a two-dimensional plane graph of a road network;
the three-dimensional road network display module is used for displaying a three-dimensional stereo image of a road network and displaying a lane-level three-dimensional stereo image on a road section, a lane position occupied by an accident occurring at the accident geographic position and a related lane occurring with congestion;
the analysis result display module is used for displaying the congestion level, the weather level, the road level and the accident geographic position on the two-dimensional plane graph and the three-dimensional stereo graph respectively;
the two-dimensional and three-dimensional switching module is used for switching a two-dimensional display mode and a three-dimensional display mode;
the decision preview module is used for displaying a plurality of decision schemes on the two-dimensional plane graph and the three-dimensional stereo graph.
Optionally, the three-dimensional road network display module includes a road historical data collection module and a BIM construction module;
the road historical data collection module is used for collecting historical data in the road construction process, and the historical data comprises topographic survey data, section data survey data, geological environment survey data around a road and bridge hydrological data;
and the BIM building module is used for building a three-dimensional road network graph based on the historical data and the BIM model.
The invention has the technical effects that:
the invention provides an intelligent networking monitoring and supervising system for cross-regional road infrastructure, which acquires multi-parameter data of roads in a road network through a monitoring module, processes the multi-parameter data through a communication module adopting distributed edge calculation, sorts generated results according to priority and transmits the data according to the priority, so that the data with high priority is transmitted preferentially, the response speed of the supervising system is improved, the data is processed through the distributed edge calculation, the data volume is reduced, the calculation amount of a cloud center is reduced, the analysis speed of the cloud center on the data is improved, the processing efficiency is improved, a decision module compares a preset standard with an acquired actual parameter grade, different decision schemes are generated for the condition that the standard is not met, and the decision schemes are displayed on a display module for facilitating the checking and decision of workers, the invention also provides a mode for switching and checking the three-dimensional road network graph and the two-dimensional plane road network graph, when the three-dimensional road network graph checks the detailed condition of the road sections with longitudinal overlapping, the effect is far better than that of the two-dimensional plane graph, the display effect is improved, the two-dimensional plane graph is more suitable for displaying macroscopic information, and the monitoring efficiency is improved because the working personnel can switch and check the three-dimensional road network graph and the two-dimensional plane graph.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a schematic structural diagram in an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
As shown in fig. 1, the present embodiment provides an intelligent networked monitoring and supervision system for cross-regional road infrastructure, including:
the cloud center comprises a monitoring module, a communication module, a cloud center, a decision module and a display module;
the monitoring module is used for monitoring multi-parameter data at different positions on a plurality of roads in a road network;
the communication module is used for preprocessing the multi-parameter data and transmitting the multi-parameter data to the cloud center;
the cloud center is used for receiving and analyzing the preprocessed multi-parameter data to generate an analysis result;
the decision module is used for generating a plurality of decision schemes based on the analysis result and is selected and executed by the staff;
the display module is used for displaying the road network and the analysis result.
The monitoring module in the embodiment comprises a vehicle speed monitoring module, a traffic monitoring module, a weather monitoring module, a road surface monitoring module, a toll station data monitoring module and a road video monitoring module.
The meteorological monitoring module comprises a meteorological monitoring station and a network meteorological data acquisition module for acquiring meteorological data through a network way;
the vehicle speed monitoring module, the traffic monitoring module, the weather monitoring module, the road surface monitoring module and the road video monitoring module are arranged on two sides of a road;
the toll station data monitoring module is arranged at the toll station.
The multi-parameter data in the embodiment comprises vehicle speed data, traffic data, meteorological data, road surface data, toll station data and highway video data;
the traffic data comprises the number of vehicles passing through the traffic monitoring module;
the meteorological data comprise temperature, humidity, air pressure, wind speed, wind direction, rainfall, visibility and the like;
the pavement data comprises pavement damage degree and pavement old degree;
the toll station data comprises an entrance toll station of the vehicle, an exit toll station of the vehicle, the high-speed entering time and the high-speed exiting time;
the highway video data includes video data of the vehicle and video data of the ground.
The communication module in the embodiment comprises a data receiving and transmitting module and an edge calculating module;
the edge calculation module is used for processing the received multi-parameter data based on a distributed edge calculation technology and carrying out priority division on the processed data;
the data receiving and sending module is used for receiving and sending the multi-parameter data, wherein the data is sent based on the priority level of the priority when the data is sent.
The edge calculation module comprises a data processing module and a priority division module;
the data processing module is used for processing the multi-parameter data, deleting useless data, obtaining a congestion index based on vehicle speed data and traffic data, obtaining a meteorological index based on meteorological data and obtaining a road index based on road data;
the process of obtaining the congestion index comprises the following steps: carrying out weighted average calculation on the traffic data and the vehicle speed data to obtain average traffic volume and average vehicle speed of each hour, and then carrying out difference according to the average traffic volume and preset traffic volume to obtain a traffic jam index;
the pavement index comprises flatness, skid resistance and pavement condition index PCI;
the priority division module is used for carrying out priority division on the processed data, dividing the congestion index into a first-level priority, dividing the meteorological index into a second-level priority and dividing the pavement index into a third-level priority, wherein the priority of the first-level priority is the highest.
The cloud center in the embodiment comprises a congestion analysis module, a meteorological analysis module, a road surface analysis module and an accident analysis module;
the congestion analysis module is used for generating traffic congestion levels based on the traffic congestion indexes, and ranking the traffic congestion indexes of all road sections in the road network based on different traffic congestion levels, wherein the traffic congestion levels comprise: the method comprises the following steps of smoothing, basically smoothing, slightly blocking, moderately blocking and severely blocking, and calculating the possibility of blocking the road sections around the congested road sections in the road network and estimating the degree of the blocking;
the weather analysis module is used for generating weather levels based on 'highway traffic weather condition levels' issued by the China weather bureau and weather indexes, analyzing weather influence coefficients based on the propagation speed and the weather levels, judging influences on other roads in a road network based on the weather influence coefficients, and judging time for predicting and eliminating the influences based on the weather influence coefficients and the existing weather levels;
the road surface analysis module is used for generating a road surface grade based on the road surface index, analyzing the influence coefficient of a road section with a low road surface grade on other road sections in a road network, and estimating the future congestion tendency of the road section according to historical data;
the accident analysis module is used for carrying out video check on the congested road sections according to the ranking of the congestion indexes, judging whether accidents exist or not, judging accident attributes and obtaining accident geographic positions if the accidents exist, wherein the videos are road videos collected by the road video monitoring module, calculating congestion time and congestion levels possibly caused by the accidents based on the traffic flow and the congestion indexes, and judging the road section range expected to be influenced.
The decision module in the embodiment comprises a congestion elimination module, a maintenance module, a road section closing module and an accident handling module;
the congestion elimination module is used for comparing the applicable traffic volume of the road section with the actual traffic volume in a preset time period, if the obtained quotient is more than 1, the road section is represented to be in a congestion state frequently, the road section is listed into a congestion sequence to be eliminated, the influence coefficient of the road section on the surrounding road sections in the road network is calculated, whether the road section causes congestion of other road sections is judged, other roads in the road network are traversed, a feasible detour road section is analyzed, a detour scheme is generated, the congestion is eliminated in a shunting mode, if the detour scheme does not exist, the congested road is considered to be expanded, the road to be expanded is ranked according to the traffic volume and the congestion level in a period of time, an expansion suggestion is generated according to the ranking, and the expansion suggestion is generated based on expansion funds and the influence degree of the road after the expansion to other road sections;
the congestion elimination module can also be connected with road construction data in an engineering construction system, and a related decision scheme is generated according to the road construction data;
the maintenance module is used for comparing the road surface grade with a preset road surface grade threshold value, if the road surface grade is less than or equal to the preset road surface grade threshold value, the road surface grade is listed as a road section to be maintained, comprehensive maintenance decision calculation is carried out according to the weight coefficient or priority of each parameter, the maintenance cost of a maintenance object and the influence coefficient of the road section to be maintained on the traffic condition of the peripheral road section, and a road surface comprehensive maintenance decision is generated for a worker to select; for example, the maintenance time is ranked according to the relevance of the road level, the traffic flow and the congestion level, the maintenance priority of congestion caused by the road surface is high, the maintenance priority is the same, then the ranking is performed according to the traffic flow, the maintenance priority with high traffic flow is high, and after the maintenance ranking list of the road surface is determined, the appropriate maintenance time is generated according to the traffic flow and the congestion index in a period of time of a specific road section;
the maintenance module can also be connected with highway maintenance data in the road administration system, and a related decision scheme is generated according to the highway maintenance data;
the road section closing module is used for comparing the weather grade with a preset weather grade threshold, if the weather grade is more than or equal to the preset weather grade threshold, generating a road section closing scheme, predicting a future weather change rule through weather information and actual weather data, judging the influence range and the influence coefficient of weather on a road network according to the future weather change rule, making a decision for closing the influenced road section in advance according to the influence coefficient and the influence range, taking the current road section which is not influenced by weather as a detouring road section to be selected, determining the future road section which is not influenced by weather as the future detouring road section to be selected according to the time required for eliminating the weather influence, and generating the detouring decision scheme based on the detouring road section to be selected and the future detouring road section to be selected;
the road section closing module can be also connected with a weather station to directly acquire relevant weather information of a road network in the highway and automatically judge whether certain highway sections in the road network need to be closed or not according to the weather information;
the accident handling module is used for generating a decision scheme for dispatching surrounding emergency resources and a decision scheme for dispatching emergency personnel based on accident attributes and accident geographic positions, for example: after a traffic accident with casualties occurs, a decision scheme for dispatching medical care personnel, ambulances, traffic police and police cars is generated, a road section which can be bypassed around the road network where the accident position is located is traversed, a plurality of bypassing schemes are generated, and congestion aggravation is avoided.
After the decision schemes are generated, the decision right of which decision scheme is selected in hands of related workers, and the system is only responsible for automatically generating the decision schemes.
The display module in the embodiment comprises a two-dimensional road network display module, a three-dimensional road network display module, an analysis result display module, a two-dimensional and three-dimensional switching module and a decision preview module.
The two-dimensional road network display module is used for displaying a two-dimensional plane graph of a road network, and the three-dimensional road network display module is used for displaying a three-dimensional stereo graph of the road network.
The analysis result display module is used for displaying the congestion level, the weather level, the road level and the accident geographic position on the two-dimensional plane graph and the three-dimensional stereo graph respectively, and displaying the congestion level, the weather level, the road level and the accident geographic position in different display modes, wherein the display modes comprise the mode of displaying the analysis results in different colors, different patterns and different character marks, and the display of the congestion level is taken as an example: the method comprises the steps of displaying severe congestion as red, moderate congestion as yellow, light congestion as light yellow, basic smooth as green and smooth as colorless, or directly displaying the severe congestion, the moderate congestion and the congestion on relevant road sections by characters, or marking the congestion states of the relevant road sections by different patterns.
The two-dimensional and three-dimensional switching module is used for switching a two-dimensional display mode and a three-dimensional display mode; the decision preview module is used for displaying a plurality of decision schemes on the two-dimensional plane graph and the three-dimensional stereo graph.
The three-dimensional road network display module comprises a road historical data collection module and a BIM construction module; the road historical data collection module is used for collecting historical data in the road construction process, and the historical data comprises topographic feature survey data, section data survey data, geological environment survey data around a road and bridge hydrological data; the BIM building module is used for building a three-dimensional road network model based on historical data and the BIM model, and the BIM technology realizes efficient management of road network information and optimal configuration of resources
In addition, the display module can also display an analysis view of multi-dimensional parallel analysis of the cloud platform based on requirements, and the analysis view comprises a statistical chart, a statistical table, a single column diagram, a cluster column diagram, a stacked column diagram and a bubble diagram.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. The utility model provides a cross regional road infrastructure intelligence networking monitoring and supervisory systems which characterized in that includes:
the cloud center comprises a monitoring module, a communication module, a cloud center, a decision module and a display module;
the monitoring module is used for monitoring multi-parameter data at different positions on a plurality of roads in a road network;
the communication module is used for preprocessing the multi-parameter data and transmitting the multi-parameter data to the cloud center;
the cloud center is used for receiving and analyzing the preprocessed multi-parameter data to generate an analysis result;
the decision module is used for generating a plurality of decision schemes based on the analysis result and is selected by the staff to execute;
the display module is used for displaying the road network and the decision scheme.
2. The system of claim 1, wherein the monitoring modules include a vehicle speed monitoring module, a traffic monitoring module, a weather monitoring module, a road surface monitoring module, a toll booth data monitoring module, and a highway video monitoring module.
3. The system of claim 2, wherein the multi-parameter data includes vehicle speed data, traffic data, weather data, road surface data, toll station data, and highway video data;
wherein the traffic data includes a number of vehicles passing the traffic monitoring module;
the road surface data comprises a road surface damage degree and a road surface old degree;
the toll station data comprises an entrance toll station of the vehicle, an exit toll station of the vehicle, the high-speed entering time and the high-speed exiting time;
the road video data includes video data of vehicles and video data of the ground.
4. The system of claim 3, wherein the communication module comprises a data transceiver module and an edge calculation module;
the edge computing module is used for processing the received multi-parameter data based on a distributed edge computing technology and performing priority division on the processed data;
the data transceiver module is used for receiving and transmitting the multi-parameter data, wherein the data is transmitted based on the priority level of the priority when being transmitted.
5. The system of claim 4, wherein the edge calculation module comprises a data processing module and a prioritization module;
the data processing module is used for processing the multi-parameter data, deleting useless data, obtaining a congestion index based on the vehicle speed data and the traffic data, obtaining a meteorological index based on the meteorological data, and obtaining a road index based on the road data;
the process of obtaining the congestion index comprises the following steps: carrying out weighted average calculation on the traffic data and the vehicle speed data to obtain average traffic volume and average vehicle speed of each hour, and then obtaining a traffic jam index according to the difference between the average traffic volume and a preset traffic volume;
the priority division module is used for carrying out priority division on the processed data, dividing the congestion index into a first-level priority, dividing the meteorological index into a second-level priority and dividing the road index into a third-level priority, wherein the priority of the first-level priority is the highest.
6. The system of claim 5, wherein the cloud center comprises a congestion analysis module, a weather analysis module, a road surface analysis module, and an accident analysis module;
the congestion analysis module is configured to generate traffic congestion levels based on the traffic congestion indexes, and rank the traffic congestion indexes of all road segments in a road network based on different traffic congestion levels, where the traffic congestion levels include: the method comprises the steps of smoothing, basically smoothing, slightly blocking, moderately blocking and severely blocking, and calculating predicted blocking time and blocking length of a blocked road section, probability of blocking the congested road section in a road network and predicted blocking level of the congested road section;
the weather analysis module is used for generating a weather grade based on the weather index, and is also used for generating a weather diffusion grade of the influence of weather conditions of the current road section on the surrounding road section and predicting the time for eliminating the influence;
the road surface analysis module is used for generating a road surface grade based on the road surface index, and is also used for generating an influence index of the road surface grade on other road sections in a road network and a congestion tendency estimated according to historical data and the influence index;
the accident analysis module is used for carrying out video check on the congested road sections according to the ranking of the congestion indexes, judging whether accidents exist or not, judging accident attributes and obtaining accident geographic positions if the accidents exist, predicting congestion time and congestion levels to be caused by the accidents based on the traffic data and the congestion indexes, and analyzing the range of influence on other road sections in the road network.
7. The system of claim 6, wherein the decision module comprises an elimination congestion module, a maintenance module, a segment closure module, and an incident handling module;
the congestion elimination module is used for traversing the surrounding roads in the road network based on the predicted congestion time, the predicted congestion length, the possibility of causing congestion on other surrounding road sections and the predicted congestion level, analyzing a feasible detour route, generating a shunting detour decision scheme, marking the road section if no detour scheme exists, listing the road section as a road section to be expanded, processing the road section to be expanded based on congestion ranking, and generating a construction decision scheme based on the influence degree of expansion fund and expansion length on the surrounding roads;
the maintenance module is used for analyzing an influence coefficient of a road surface grade on congestion at the congestion road section, if the influence coefficient is higher than a preset threshold value, the corresponding road section is listed as a road section to be maintained, and a maintenance decision is generated based on maintenance cost of the maintenance road section and the influence coefficient of the maintenance road section on the same condition of the peripheral road section;
the road section closing module is used for comparing the weather grade with a preset weather grade threshold, if the weather grade is more than or equal to the preset weather grade threshold, generating a road section closing scheme, predicting a future weather change rule through weather information and actual weather data, judging the influence range and the influence coefficient of weather on a road network according to the future weather change rule, making a decision for closing the influenced road section in advance according to the influence coefficient and the influence range, taking the current road section which is not influenced by weather as a detouring road section to be selected, determining the future road section which is not influenced by weather as the future detouring road section to be selected according to the time required for eliminating the weather influence, and generating the detouring decision scheme based on the detouring road section to be selected and the future detouring road section to be selected;
the accident processing module is used for generating a decision scheme for transferring peripheral emergency resources and a decision scheme for dispatching emergency personnel based on the accident attributes and the accident geographic position, and is also used for traversing feasible detouring road sections around the road where the accident position is located and generating a plurality of detouring schemes.
8. The system of claim 7, wherein the display module comprises a two-dimensional road network display module, a three-dimensional road network display module, an analysis result display module, a two-dimensional and three-dimensional switching module, and a decision preview module;
the two-dimensional road network display module is used for displaying a two-dimensional plane graph of a road network;
the three-dimensional road network display module is used for displaying a three-dimensional stereo image of a road network and displaying a lane-level three-dimensional stereo image on a road section, a lane position occupied by an accident occurring at the accident geographic position and a related lane occurring with congestion;
the analysis result display module is used for displaying the congestion level, the weather level, the road level and the accident geographic position on the two-dimensional plane graph and the three-dimensional stereo graph respectively;
the two-dimensional and three-dimensional switching module is used for switching a two-dimensional display mode and a three-dimensional display mode;
the decision preview module is used for displaying a plurality of decision schemes on the two-dimensional plane graph and the three-dimensional stereo graph.
9. The system of claim 8, wherein said three-dimensional road network display module comprises a road history data collection module and a BIM construction module;
the road historical data collection module is used for collecting historical data in the road construction process, and the historical data comprises topographic survey data, section data survey data, geological environment survey data around a road and bridge hydrological data;
and the BIM building module is used for building a three-dimensional road network graph based on the historical data and the BIM model.
Priority Applications (1)
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