CN115345348A - Intelligent internet of things system for urban road ponding risk management and control - Google Patents
Intelligent internet of things system for urban road ponding risk management and control Download PDFInfo
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Abstract
The invention discloses an intelligent internet of things system for urban road ponding risk management and control, which comprises monitoring nodes, a risk assessment and management platform and risk management and control terminal equipment, wherein the monitoring nodes are connected with the risk assessment and management platform through a network; the monitoring nodes comprise fixed monitoring nodes and mobile monitoring nodes; the fixed monitoring node is used for acquiring height information, temperature and humidity information, space positioning information and the like of the liquid level of the accumulated water in the area where the node is located; the mobile monitoring node is used for acquiring linear information, elevation information, gradient information and the like of a road section; the risk assessment and management platform is used for carrying out road network ponding point risk assessment by combining the monitoring data and the external platform data and displaying the road network ponding point risk assessment through a visual interface; the risk assessment and management platform is further used for sending the assessed risk information, task division and management and control measures to the risk management and control terminal equipment, achieving information sharing of emergency treatment personnel and dynamically updating the risk information in real time according to treatment results. The method can effectively guarantee the operation safety of the urban road under the storm flood disaster.
Description
Technical Field
The invention relates to the technical field of road engineering and disaster prevention and reduction engineering, in particular to an intelligent internet of things system for urban road ponding risk management and control.
Background
Urban roads are key infrastructures for guaranteeing stable operation of a highway traffic system, and play an important role in promoting orderly operation and rapid development of cities. In recent years, extreme rainstorm disasters occur frequently, urban road infrastructure faces rainstorm invasion to cause traffic interruption, and normal operation of cities and smooth development of emergency rescue actions are seriously influenced. Therefore, before a rainstorm comes, a higher risk area is rapidly positioned, and emergency team materials are reasonably dispatched to perform risk management and control, so that the method is very important for reducing disaster loss and ensuring safe operation of urban roads.
At present, an early warning system and an early warning method for carrying out accumulated water flooding on low-lying points of urban roads exist, however, monitoring and early warning are only carried out on a certain position, the early warning system cannot be matched with linear, net-shaped and other characteristics of the roads, and in heavy rain, the accumulated water points of the roads with multiple dispersed points appear, and the monitoring and early warning on the certain position cannot macroscopically grasp global risks. In addition, due to the fact that risk recognition is insufficient, professional disposal capacity is insufficient, emergency disposal personnel may have human errors, the problems that risk points are omitted and management and control measures are not in place still exist, although hidden dangers and early warning and forecasting are found, due to the fact that risk sources are not effectively controlled, safe operation of urban roads under the rainstorm flood disasters still cannot be effectively guaranteed.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an intelligent internet of things system for urban road ponding risk management and control, which solves the problems of incomplete risk information collection, untimely risk information sharing and improper risk management and control through distributed multipoint monitoring, road network ponding point risk evaluation and risk information sharing and management and control measure guidance aiming at the risk characteristics of scattered multiple points of an urban road network ponding road section under a rainstorm flood disaster, realizes monitoring, early warning and risk evaluation of the urban road network ponding point under the rainstorm flood disaster, guides the implementation of emergency management and control measures according to the evaluation result, and guarantees the service safety of urban road infrastructure under extreme climatic disasters.
To solve the above technical problem, an embodiment of the present invention provides the following solutions:
an intelligent internet of things system for urban road ponding risk management and control comprises monitoring nodes, a risk assessment and management platform and risk management and control terminal equipment;
the monitoring nodes comprise fixed monitoring nodes and mobile monitoring nodes; the fixed monitoring nodes are used for acquiring point location information of an area where the nodes are located, wherein the point location information comprises ponding liquid level elevation information, temperature and humidity information and space positioning information; the mobile monitoring nodes are used for acquiring road network information of road sections, wherein the road network information comprises linear information, elevation information and gradient information;
the risk assessment and management platform comprises a server, a visual interface and an external interface, wherein a ponding risk assessment module is arranged in the server; the accumulated water risk assessment module is used for carrying out road network accumulated water point risk assessment by combining the monitoring data of the monitoring nodes and the external platform data acquired by the external interface, and carrying out risk information display through the visual interface;
the risk assessment and management platform is further used for sending the assessed risk information, task division and management and control measures to the risk management and control terminal equipment, realizing information sharing for emergency treatment personnel, and dynamically updating the risk information in real time according to treatment results;
the risk management and control terminal equipment is carried or worn by emergency disposal personnel and is used for providing risk information of the road network ponding points in the region under the jurisdiction, task division and management and control measures for the emergency disposal personnel; and the action track, personnel distribution, required support and disposal results of emergency disposal personnel are all fed back to the risk assessment and management platform through the risk management and control terminal equipment.
Preferably, the external platform data comprises meteorological information, simulation information, emergency disposal personnel and emergency material information.
Preferably, the risk management and control terminal equipment comprises a mobile phone, a tablet and wearable intelligent equipment carried by emergency treatment personnel, and comprises an intelligent watch and intelligent glasses.
Preferably, the fixed monitoring node comprises a GPS module, an ultrasonic sensor, a camera, and a temperature and humidity sensor, the GPS module is used for acquiring node space positioning information, the ultrasonic sensor is used for acquiring an elevation of a liquid level of accumulated water and a time change rate thereof, the temperature and humidity sensor is used for acquiring temperature and humidity information of an area where the node is located, and the camera is used for acquiring image information of the area where the node is located.
Preferably, the mobile monitoring nodes comprise unmanned planes or surveying and mapping vehicles, and are used for acquiring road network information of road sections, including alignment information, elevation information and gradient information, and updating the road network information through periodic routing inspection.
Preferably, the data information collected by the monitoring node is uploaded to the risk assessment and management platform through 5G, wiFi or an optical fiber communication mode.
Preferably, the road accumulated water point risk assessment and emergency management and control process of the intelligent internet of things system includes:
selecting low-lying road sections in a road network, and installing and fixing monitoring nodes on a bridge bottom plate, a road side lamp post or an electric pole;
starting a fixed monitoring node according to rainfall information issued by a meteorological department, and adjusting the sampling frequency of the fixed monitoring node according to the rainfall;
analyzing the monitoring data of the fixed monitoring nodes, and evaluating the accumulated water risk level of the low-lying road section where the nodes are located according to the accumulated water liquid level elevation and the change rate of the accumulated water liquid level elevation along with time;
the accumulated water risk level evaluated by the fixed monitoring nodes, the camera image data of the key nodes in the road network and the road network information acquired by the mobile monitoring nodes, including linear information, elevation information and gradient information, are combined to pre-judge and grade the accumulated water risk of other low-lying road sections in the road network;
the method comprises the steps of sequencing accumulated water risk levels of all low-lying road sections in a road network, combining emergency disposal personnel and emergency material information, carrying out emergency resource scheduling optimization and task division, and realizing risk information sharing.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) According to the method, the ponding risk grade of the area where the node is located is judged according to the real-time monitoring data of the fixed monitoring node, the ponding condition of the road section where the fixed monitoring node is not installed is predicted by combining the road elevation data, urban road map data, camera image data, meteorological data and the like which are regularly inspected, the ponding risk assessment and grade division of different sub road sections can be realized, and the ponding point risk visualization display of the whole area road network is carried out according to the importance degree and the ponding severity degree of the road network node.
(2) The emergency command center can make a decision according to the visual risk information of the risk assessment and management platform, make clear key risk points, teams, material investment and the like, share the existing emergency material reserve volume and scheduling path, the number and information of dispatchable personnel, the risk point emergency disposal measures and resource allocation which are being developed with a plan and the like through the platform, receive the information feedback of field personnel, and track and correct the risk point information in time. By scheduling and optimizing emergency resources of ponding points at different risk levels, efficient first-aid repair danger elimination under the condition of coping with multipoint risk concurrence of ponding in a road network is realized.
(3) A first-line emergency disposal personnel can acquire the risk grade and the development trend of a risk point through a risk management and control terminal device APP, clearly determine emergency disposal paths and task division labor, and know the position, the quantity and the required time of emergency materials. A ray of emergent processing personnel can transfer the demand of roadblock, warning poster, sand bag at the risk point, the position of putting and the time of putting through modes such as pronunciation, video, image, through the mutual sharing of risk information, realize the guide implementation of a ray of emergent processing personnel prevention and control measure, avoid the people to lead to prevention and control measure to put in place because of the error, ensure the operation safety of urban road infrastructure under the torrential rain flood disaster.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent internet of things system for urban road ponding risk management and control according to an embodiment of the present invention;
fig. 2 is a schematic diagram of road network deployment and application thereof provided by the embodiment of the present invention;
FIG. 3 is a schematic diagram of route deployment and its application provided by an embodiment of the present invention;
fig. 4 is a flow chart of risk assessment and emergency management and control of a road waterlogging spot according to an embodiment of the present invention.
As shown in the drawings, in order to clearly implement the structures of the embodiments of the present invention, specific structures and devices are marked in the drawings, which are only for illustration purpose and are not intended to limit the present invention to the specific structures, devices and environments, and those skilled in the art can adjust or modify the devices and environments according to specific needs, and the adjusted or modified devices and environments still include the protection scope of the present invention.
Detailed Description
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.
The embodiment of the invention provides an intelligent internet of things system for urban road ponding risk management and control, and as shown in fig. 1, the intelligent internet of things system comprises monitoring nodes, a risk assessment and management platform and risk management and control terminal equipment.
The monitoring nodes comprise fixed monitoring nodes and mobile monitoring nodes; the fixed monitoring nodes are used for acquiring point location information of an area where the nodes are located, wherein the point location information comprises ponding liquid level elevation information, temperature and humidity information, space positioning information and the like; the mobile monitoring nodes are used for acquiring road network information of road sections, wherein the road network information comprises alignment information, elevation information, gradient information and the like.
The risk assessment and management platform comprises a server, a visual interface and an external interface, wherein a ponding risk assessment module is arranged in the server; the accumulated water risk assessment module is used for carrying out road network accumulated water point risk assessment by combining the monitoring data of the monitoring nodes and the external platform data acquired by the external interface, and displaying risk information through the visual interface.
The external platform data comprises meteorological information, simulation information, emergency disposal personnel, emergency material information and the like.
And the risk assessment and management platform is also used for sending the assessed risk information, task division and management and control measures to the risk management and control terminal equipment, realizing information sharing for emergency disposal personnel and dynamically updating the risk information in real time according to a disposal result.
Specifically, the risk assessment and management platform collects, stores and processes monitoring data, external platform data, assessment results and the like, realizes visualization of the risk of the ponding point in the whole road network area, and shares the risk assessment results to the risk management and control terminal device.
The risk management and control terminal equipment is carried or worn by emergency disposal personnel, can be a mobile phone, a tablet and wearable intelligent equipment, comprises an intelligent watch, intelligent glasses and the like, and is used for providing risk information of a road network water accumulation point in the region under jurisdiction, task division and management and control measures for the emergency disposal personnel. Relevant parties in the emergency team can obtain the overall view of risk information, each performs its role, effectively cooperates, and adopts correct risk response measures through the guiding and assistant decision of the risk management and control terminal equipment. And information such as action tracks, personnel distribution, required support, disposal results and the like of emergency disposal personnel are fed back to the risk assessment and management platform through the risk management and control terminal equipment.
In the intelligent internet of things system shown in fig. 1, the monitoring nodes include fixed monitoring nodes and mobile monitoring nodes, monitored data information is sent to the risk assessment and management platform, the risk assessment and management platform performs risk assessment on the road network ponding points by combining the monitoring data and external platform data (such as meteorological information, simulation information, emergency disposal personnel and emergency material information), and sends assessment results to the risk management and control terminal equipment of the emergency disposal personnel, so that sharing of the road network ponding point risk information and guiding of management and control measures are achieved. Meanwhile, emergency disposal personnel develop emergency disposal actions according to the worn risk control terminal equipment, and information such as action tracks, personnel distribution, required support and disposal effects of the emergency disposal personnel can be fed back to the risk assessment and management platform, so that information sharing and linkage of the emergency actions are realized.
Fig. 2 is a schematic diagram of road network deployment and application thereof provided by an embodiment of the present invention, which monitors key point locations of a regional road network by fixed monitoring nodes and mobile monitoring nodes. The fixed monitoring node comprises a GPS module, an ultrasonic sensor, a camera and a temperature and humidity sensor, the GPS module is used for acquiring node space positioning information, the ultrasonic sensor is used for acquiring the liquid level elevation of accumulated water and the time change rate of the liquid level elevation, the temperature and humidity sensor is used for acquiring temperature and humidity information of the area where the node is located, and the camera is used for acquiring image information of the area where the node is located. The mobile monitoring nodes comprise unmanned aerial vehicles or surveying and mapping vehicles and are used for acquiring road network information of road sections, wherein the road network information comprises alignment information, elevation information, gradient information and the like, and the road network information is updated through periodic inspection. And uploading the data information acquired by the monitoring node to the risk assessment and management platform through 5G, wiFi or an optical fiber communication mode.
The risk assessment and management platform is externally connected with information data such as simulation, weather and emergency resources, and accumulated water risk assessment of the whole road network is achieved by fusing key point monitoring data and external interface data. In addition, the risk assessment and management platform feeds the risk assessment result back to emergency disposal personnel through terminal equipment such as a mobile phone, a tablet, glasses and a watch, so that dynamic tracking of risk information and scheduling optimization of emergency resources are achieved.
Fig. 3 is a schematic diagram of route deployment and application thereof provided by the embodiment of the present invention. The method comprises the steps of selecting a low-lying section of a route, installing fixed monitoring nodes on a bridge bottom plate, a roadside lamp post or an electric pole, positioning elevation information through a GPS module, and obtaining the elevation of the liquid level of the accumulated water and the time change rate of the liquid level of the accumulated water according to ultrasonic ranging. In addition, according to unmanned aerial vehicle or vehicle movement mapping, road line type and elevation information and the like are obtained. The acquired data are uploaded to a risk assessment and management platform, information is transmitted to risk management and control terminal equipment equipped by professionals through risk assessment and information sharing, and the risk management and control terminal equipment guides the professionals to carry out emergency treatment at risk points, such as road barriers, sand bags, warning slogans and the like.
Further, as shown in fig. 4, the road ponding point risk assessment and emergency management and control process of the intelligent internet of things system includes:
selecting low-lying road sections in a road network, and installing and fixing monitoring nodes on a bridge bottom plate, a road side lamp post or an electric pole;
starting a fixed monitoring node according to rainfall information issued by a meteorological department, and adjusting the sampling frequency of the fixed monitoring node according to the rainfall;
analyzing the monitoring data of the fixed monitoring nodes, and evaluating the accumulated water risk level of the low-lying road section where the nodes are located according to the accumulated water liquid level elevation and the change rate of the accumulated water liquid level elevation along with time;
the accumulated water risk level evaluated by the fixed monitoring nodes, camera image data of key nodes in the road network and road network information acquired by the mobile monitoring nodes, including linear information, elevation information (DEM data), gradient information and the like, are combined, and the accumulated water risk of other low-lying road sections (such as the low-lying road sections without the fixed monitoring nodes) in the road network is pre-judged and graded;
and sequencing the accumulated water risk levels of all low-lying road sections in the road network, combining emergency disposal personnel and emergency material information, performing emergency resource scheduling optimization and task division, and realizing risk information sharing.
Aiming at the risk characteristics of scattered multiple points of urban road ponding road sections under the rainstorm and flood disasters, the invention provides an intelligent internet of things system for urban road ponding risk control, which monitors the ponding condition of urban road network low-lying road sections in key areas, evaluates the ponding risk level of each point by combining the importance degree of road network nodes and the ponding severity degree, and ensures that a chief manager can timely and correctly eliminate the ponding point risks through a flattening mechanism of risk information transmission, thereby ensuring the operation safety of urban road infrastructures under the rainstorm and flood disasters.
Compared with the prior art, the application of the invention has the following advantages:
(1) Road network water spot risk visualization
According to the importance degree and the ponding severity degree of the road network nodes, the accuracy and visualization requirements of the data source are met, and the road is segmented by the preset length. The method comprises the steps of judging the risk level of a fixed monitoring point according to the real-time monitoring data of the existing fixed monitoring node, predicting the ponding depth of a road section without the monitoring node by combining the road elevation data of regular inspection, urban road map data, camera image data and weather rainfall data, and realizing the ponding risk level division of different sub-road sections. The method can be divided into four risk levels of no influence on the running of the motor vehicle, slow running of the motor vehicle, no passing of most vehicles and traffic interruption according to the depth of the accumulated water, and realizes the risk visualization of accumulated water points of the road network in the whole area.
(2) Overall emergency resource scheduling optimization
The emergency command center can make a decision according to the visual risk information of the risk assessment and management platform, make clear key risk points, teams, material investment and the like, share the existing emergency material reserve volume and scheduling path, the number and information of dispatchable personnel, the risk point emergency disposal measures and resource allocation which are being developed with a plan and the like through the platform, receive information feedback of field personnel, and track and correct the risk point information in time. By optimizing the emergency resource scheduling of accumulated water points with different risk levels, the efficient emergency repair danger elimination under the condition of coping with the multi-point risk concurrence of the accumulated water in the road network is realized.
(3) First-line personnel prevention and control measure guidance
A first-line emergency disposal personnel can acquire the risk grade and the development trend of a risk point through a risk management and control terminal device APP, clearly determine emergency disposal paths and task information, and know the position, the quantity and the required time of emergency materials. A front-line person can call the required quantity, the placing position and the implementation time of the roadblock, the warning slogan and the sandbag at the risk point in the modes of voice, video, images and the like. Through the interactive sharing of risk information, the guiding implementation of prevention and control measures of front-line personnel is realized, the situation that the prevention and control measures are not implemented in place due to human errors is avoided, and the operation safety of urban road infrastructure under the rainstorm flood disaster is guaranteed.
It should be noted that, in this document, the terms "comprises", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, so that a process, a method, an article or a terminal device including a series of elements includes not only those elements but also other elements not explicitly listed, or further includes inherent elements of such process, method, article or terminal device. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or terminal apparatus that comprises the element.
References in the specification to "one embodiment," "an example embodiment," "some embodiments," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the relevant art to effect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
In general, terms may be understood at least in part from the context in which they are used. For example, the term "one or more" as used herein may be used to describe any feature, structure, or characteristic in the singular or may be used to describe a combination of features, structures, or characteristics in the plural, depending at least in part on the context. Additionally, the term "based on" may be understood as not necessarily intended to convey an exclusive set of factors, but may instead allow for the presence of other factors not necessarily explicitly described, depending at least in part on the context.
The invention is intended to cover alternatives, modifications, equivalents, and alternatives that may be included within the spirit and scope of the invention. In the following description of the preferred embodiments of the present invention, specific details are set forth in order to provide a thorough understanding of the present invention, and it will be apparent to those skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components, circuits, and the like have not been described in detail as not to unnecessarily obscure aspects of the present invention.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by relevant hardware instructed by a program, and the program may be stored in a computer readable storage medium, such as: ROM/RAM, magnetic disk, optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (7)
1. An intelligent internet of things system for urban road ponding risk management and control is characterized by comprising monitoring nodes, a risk assessment and management platform and risk management and control terminal equipment;
the monitoring nodes comprise fixed monitoring nodes and mobile monitoring nodes; the fixed monitoring nodes are used for acquiring point location information of an area where the nodes are located, wherein the point location information comprises ponding liquid level elevation information, temperature and humidity information and space positioning information; the mobile monitoring nodes are used for acquiring road network information of road sections, wherein the road network information comprises linear information, elevation information and gradient information;
the risk assessment and management platform comprises a server, a visual interface and an external interface, wherein a ponding risk assessment module is arranged in the server; the ponding risk assessment module is used for carrying out ponding point risk assessment on the road network by combining the monitoring data of the monitoring nodes and the external platform data acquired by the external interface, and carrying out risk information display through the visual interface;
the risk assessment and management platform is further used for sending the assessed risk information, task division and management and control measures to the risk management and control terminal equipment, realizing information sharing for emergency treatment personnel, and dynamically updating the risk information in real time according to treatment results;
the risk management and control terminal equipment is carried or worn by emergency disposal personnel and is used for providing risk information of the road network ponding points in the region under the jurisdiction, task division and management and control measures for the emergency disposal personnel; and the action track, personnel distribution, required support and disposal results of emergency disposal personnel are all fed back to the risk assessment and management platform through the risk management and control terminal equipment.
2. The intelligent internet of things system for urban road ponding risk management and control according to claim 1, wherein the external platform data includes meteorological information, simulation information, emergency disposal personnel and emergency material information.
3. The intelligent internet of things system for urban road ponding risk management and control of claim 1, wherein the risk management and control terminal device comprises a mobile phone, a tablet and wearable intelligent devices carried by emergency disposal personnel, including a smart watch and smart glasses.
4. The intelligent internet of things system for urban road ponding risk management and control according to claim 1, wherein the fixed monitoring nodes comprise a GPS module, an ultrasonic sensor, a camera and a temperature and humidity sensor, the GPS module is used for acquiring node space positioning information, the ultrasonic sensor is used for acquiring ponding liquid level elevation and time change rate thereof, the temperature and humidity sensor is used for acquiring temperature and humidity information of an area where the nodes are located, and the camera is used for acquiring image information of the area where the nodes are located.
5. The intelligent internet of things system for urban road ponding risk management and control according to claim 1, wherein the mobile monitoring nodes comprise unmanned aerial vehicles or surveying and mapping vehicles, are used for acquiring road network information of road sections, comprise alignment information, elevation information and gradient information, and update the road network information through periodic inspection.
6. The intelligent internet of things system for urban road ponding risk management and control according to claim 1, wherein data information collected by the monitoring nodes is uploaded to the risk assessment and management platform through 5G, wiFi or an optical fiber communication mode.
7. The intelligent internet of things system for urban road ponding risk management and control according to claim 1, wherein the road ponding point risk assessment and emergency management and control process of the intelligent internet of things system comprises:
selecting a low-lying road section in a road network, and installing fixed monitoring nodes on a bridge bottom plate, a road side lamp post or an electric pole;
starting a fixed monitoring node according to rainfall information issued by a meteorological department, and adjusting the sampling frequency of the fixed monitoring node according to the rainfall;
analyzing the monitoring data of the fixed monitoring nodes, and evaluating the ponding risk grade of the low-lying road section where the nodes are located according to the ponding liquid level elevation and the change rate of the ponding liquid level elevation along with time;
the accumulated water risk level evaluated by the fixed monitoring nodes, the camera image data of the key nodes in the road network and the road network information acquired by the mobile monitoring nodes, including linear information, elevation information and gradient information, are combined to pre-judge and grade the accumulated water risk of other low-lying road sections in the road network;
and sequencing the accumulated water risk levels of all low-lying road sections in the road network, combining emergency disposal personnel and emergency material information, performing emergency resource scheduling optimization and task division, and realizing risk information sharing.
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| CN117114241A (en) * | 2023-09-11 | 2023-11-24 | 南京宁通智能交通技术研究院有限公司 | Intelligent remote sensing system for monitoring road disasters |
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| CN117114241A (en) * | 2023-09-11 | 2023-11-24 | 南京宁通智能交通技术研究院有限公司 | Intelligent remote sensing system for monitoring road disasters |
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