A method and device for road condition early warning in coastal port areas

Abstract

This application relates to the field of road navigation simulation technology, and more particularly to a road condition early warning method and device for coastal port areas. The method involves collecting the driver's transportation environment and action information in a simulated environment; pushing an early warning road menu to the driver based on the action information and transportation environment; determining the driver's transportation urgency level based on the driver's confirmed needs in the early warning road menu; and when the transportation urgency level exceeds a preset level, changing the driver's environment to a road with an associated state and performing transportation verification based on a verification node. This invention can monitor and manage product quality during road transportation, preventing damage to fresh goods during transport. It can also monitor the in-vehicle environment in real time during the transportation of fresh goods and make adjustments based on the real-time transportation route to ensure timeliness.

Description

Technical Field

[0001] This application relates to the field of road navigation simulation technology, and in particular to a road condition early warning method and device for coastal port areas. Background Technology

[0002] Fresh produce logistics and distribution refers to the logistics and distribution activities of fresh products, which aim to transport fresh and perishable goods from the place of production to the designated sales location. Fresh produce logistics and distribution needs to take into account multiple links such as transportation, storage, packaging, and handling. Therefore, it is more complex than other types of logistics and distribution. In order to ensure the quality and safety of fresh products, fresh produce logistics and distribution needs to comply with strict regulations and standards.

[0003] However, existing technologies make it inconvenient to monitor and manage product quality during transportation, which may lead to damage to fresh goods during transport. Furthermore, the system cannot monitor the vehicle interior environment in real time during the transportation of fresh goods, nor can it make adjustments based on the real-time transportation route to ensure timeliness. Summary of the Invention

[0004] To achieve the above objectives, this application provides the following technical solution:

[0005] A road condition early warning method for coastal port areas, characterized in that the method includes:

[0006] Collect information on the driver's transportation environment and actions in the simulated environment;

[0007] Based on the action information and transportation environment, a warning road menu is pushed to the driver;

[0008] The driver's transport urgency level is determined based on the driver's confirmed needs in the warning road menu;

[0009] When the transportation urgency level exceeds a preset level, the driver's environment is changed to a road in an associated state, and transportation verification is performed based on the verification node.

[0010] Furthermore, information on the driver's transportation environment and actions in the simulated environment is collected, specifically including:

[0011] Driver attentional characteristic data are collected using equipment in a simulated environment.

[0012] The attitude localization method is used to determine the driver's action information from the attention feature data.

[0013] Furthermore, the step of pushing a warning road menu to the driver based on the action information and the transportation environment specifically includes:

[0014] Collect the action information at key points in the transportation environment;

[0015] Determine the environmental semantics of the key points;

[0016] When the duration of the key point exceeds the preset duration limit, a warning road menu is generated based on the environmental semantics.

[0017] Furthermore, the warning road menu includes several other status requirements and the current duration of fresh produce logistics. The determination of the driver's transportation urgency level based on the driver's confirmed requirements in the warning road menu specifically includes:

[0018] The confirmed demand is determined as the percentage of the current duration of fresh food logistics out of all confirmed demand states, and the duration of the driver's continued waiting time after confirming the current duration of fresh food logistics out of all waiting time is determined.

[0019] When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration extreme value, or when the duration percentage exceeds the first duration extreme value and the quantity percentage is lower than the duration percentage extreme value, the transportation urgency level is set to high.

[0020] When the quantity percentage is below the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is below the second duration extreme value, or when the duration percentage is below the first duration extreme value and exceeds the second duration extreme value, and the quantity percentage is below the duration percentage extreme value, the transportation urgency level is set to medium.

[0021] When the quantity percentage is lower than the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, the transportation urgency level is set to low.

[0022] Furthermore, the step of transforming the driver's environment to the associated road state and performing transportation verification based on the verification node specifically includes:

[0023] Determine the road to be pushed based on the semantic association state of the environment;

[0024] The roads to be pushed are interactively integrated based on simulation environment technology, and the data is monitored and stored in real time based on verification nodes. In the event of an accident or order reminder, the associated video or feature data is saved.

[0025] Furthermore, after determining the road to be pushed based on the semantic association state of the environment, the method further includes:

[0026] Collect the driver's metadata characteristics and the driver's agreed-upon past waiting information;

[0027] The first road that matches the driver's physical characteristics is filtered using the metadata features;

[0028] The driver's personalized state is determined by the past waiting information, and the second road is filtered out from the first road based on the personalized state.

[0029] After updating the second road to the road to be pushed, interactive fusion is performed based on simulation environment technology.

[0030] Furthermore, the roads to be pushed will be interactively integrated based on simulation environment technology, specifically including:

[0031] Generate a dialogue warning road menu and collect the semantic needs of the driver;

[0032] The associated fresh food delivery time will be displayed in a scrolling manner using demand semantics;

[0033] The system responds to the driver's choice of fresh produce delivery time, displays the transportation schedule, and generates a fresh produce delivery time warning.

[0034] Furthermore, the method also includes;

[0035] While displaying the fresh produce delivery time in a scrolling manner, the driver's facial expressions are captured;

[0036] When the facial expression is negative, the fresh produce delivery time is moved or scrolled by the direction of the change in the facial expression.

[0037] According to a second aspect of the present invention, the present invention claims protection for a road condition warning device for coastal port areas, the device comprising:

[0038] The data acquisition unit is used to collect information about the driver's transportation environment and actions in the simulated environment.

[0039] The warning road menu unit is used to push the warning road menu to the driver based on the action information and the transportation environment;

[0040] The judgment unit is used to determine the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu;

[0041] The configuration unit is used to change the driver's environment to a road with an associated state and perform transportation verification based on the verification node when the transportation emergency level exceeds a preset level.

[0042] The device is used to execute the aforementioned road condition early warning method for coastal port areas.

[0043] This application relates to the field of road navigation simulation technology, and more particularly to a road condition early warning method and device for coastal port areas. The method involves collecting the driver's transportation environment and action information in a simulated environment; pushing an early warning road menu to the driver based on the action information and transportation environment; determining the driver's transportation urgency level based on the driver's confirmed needs in the early warning road menu; and when the transportation urgency level exceeds a preset level, changing the driver's environment to a road with an associated state and performing transportation verification based on a verification node. This invention can monitor and manage product quality during road transportation, preventing damage to fresh goods during transport. It can also monitor the in-vehicle environment in real time during the transportation of fresh goods and make adjustments based on the real-time transportation route to ensure timeliness. Attached Figure Description

[0044] Figure 1 This is a schematic flowchart illustrating a road condition early warning method for coastal port areas claimed in an embodiment of this application.

[0045] Figure 2 This is a structural block diagram of a road condition early warning device for coastal port areas, which is claimed in the embodiments of this application. Detailed Implementation

[0046] The technical solutions in the embodiments of this application will be clearly and completely explained below with reference to the accompanying drawings. Obviously, the explained embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0047] The terms "first," "second," and "third" in this application are for explanatory purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the interpretation of this application, "several" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications will also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0048] In this document, the term "embodiment" means that a particular feature, structure, or characteristic explained in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments explained herein can be combined with other embodiments.

[0049] like Figure 1 The diagram illustrates a flow chart of a road condition early warning method for coastal port areas provided in this embodiment. While this specification provides the method operation steps or device structure shown in the embodiments or accompanying drawings, the method or device may include more or fewer operation steps or units after some combinations, based on conventional methods or without creative effort. In steps or structures where there is no logically necessary causal relationship, the execution order of these steps or the unit structure of the device are not limited to the execution order or unit structure shown in the embodiments or accompanying drawings of this specification. When the method or unit structure is applied in actual devices, servers, or terminal products, it can be executed sequentially or in parallel according to the method or unit structure shown in the embodiments or accompanying drawings (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed processing or server cluster implementation environment).

[0050] The road condition early warning method for coastal port areas provided in this embodiment can be applied to terminal devices such as cloud clients and servers, for example... Figure 1 As shown, the method specifically includes the following steps:

[0051] Step S101: Collect the driver's transportation environment and action information in the simulated environment.

[0052] Specifically, in traditional transportation environments, the driver typically selects the desired configuration directly from the navigation system. However, in actual use, it's impossible to recommend fresh produce delivery times based on the driver's immediate needs. Driver needs can be determined by the duration of their posture; generally, the more a driver focuses on a particular fresh produce delivery time, the longer their posture will remain at that time. Current mobile phones and computers cannot detect this phenomenon. However, simulated environment devices, because they require interaction with the driver's posture, overcome this limitation and can more accurately identify the driver's potential needs.

[0053] In this embodiment of the application, the collection of the driver's transportation environment and action information in the simulated environment specifically includes:

[0054] Driver attentional characteristic data are collected using equipment in a simulated environment.

[0055] The attitude localization method is used to determine the driver's action information from the attention feature data.

[0056] Specifically, sensors based on simulated environment equipment can collect driver attention feature data in real time. Then, based on a preset posture positioning method, the driver's action information, i.e. driver posture, can be determined from the attention feature data. Determining the driver's posture means determining where the driver's current focus is, which allows for a clearer understanding of what the driver is currently paying attention to.

[0057] Step S102: Push the warning road menu to the driver based on the action information and transportation environment.

[0058] Specifically, the purpose of pushing out warning road menus is to confirm whether the driver has a transportation emergency. When the driver enters the simulation environment, he may be driving at high speed or at medium or low speed. In the case of medium or low speed driving, the simulation environment is displayed as the transportation environment selected by the driver. Based on the different transportation environments and the different action information, that is, the different focus, relevant warning road menus are pushed to the driver to determine the driver's needs.

[0059] In this embodiment of the application, the step of pushing the warning road menu to the driver based on the action information and the transportation environment specifically includes:

[0060] Collect the action information at key points in the transportation environment;

[0061] Determine the environmental semantics of the key points;

[0062] When the duration of the key point exceeds the preset duration limit, a warning road menu is generated based on the environmental semantics.

[0063] Specifically, after the simulation environment equipment determines the action information, i.e. the posture, it also needs to determine where the driver's gaze is currently looking. For example, in transportation and delivery activities, the driver's gaze may be continuously focused on the transportation and delivery process of other transportation and delivery personnel or on other transportation and delivery vehicles. If the gaze is continuously focused on the transportation and delivery container and the duration exceeds the preset time limit, it indicates that the driver is paying attention to the transportation and delivery container, and it can be determined that the driver has the intention to transport the transportation and delivery container.

[0064] Step S103: Determine the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu.

[0065] In this embodiment of the application, the warning road menu includes several other status requirements and the current duration of fresh produce logistics. The step of determining the driver's transportation urgency level based on the driver's confirmed requirements in the warning road menu specifically includes:

[0066] The confirmed demand is determined as the percentage of the current duration of fresh food logistics out of all confirmed demand states, and the duration of the driver's continued waiting time after confirming the current duration of fresh food logistics out of all waiting time is determined.

[0067] When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration extreme value, or when the duration percentage exceeds the first duration extreme value and the quantity percentage is lower than the duration percentage extreme value, the transportation urgency level is set to high.

[0068] When the quantity percentage is below the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is below the second duration extreme value, or when the duration percentage is below the first duration extreme value and exceeds the second duration extreme value, and the quantity percentage is below the duration percentage extreme value, the transportation urgency level is set to medium.

[0069] When the quantity percentage is lower than the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, the transportation urgency level is set to low.

[0070] Specifically, as mentioned above, the warning road menu is used to confirm whether a driver has a transportation emergency. To ensure the effectiveness of this judgment, it is quantified into two standards: driver selection and waiting time. The warning road menu includes the current duration of fresh produce logistics, warning requirements, and other requirements set by those skilled in the art based on actual conditions. When a driver selects the current duration of fresh produce logistics, it indicates that the driver is concerned about the duration. If the number of times the current duration of fresh produce logistics is confirmed exceeds the first extreme value of the total number of confirmation requests, which is either the extreme value of the quantity or the extreme value of the duration, it indicates that the driver has confirmed the duration of fresh produce logistics a lot and is concerned about it. The waiting time can be the aforementioned percentage waiting time or a separately calculated waiting time. The judgment process is similar to that of the percentage waiting time. The waiting time can also determine the driver's level of concern about the duration of fresh produce logistics.

[0071] Step S104: When the transportation emergency level exceeds the preset level, the driver's environment is changed to the road in the associated state and transportation verification is performed based on the verification node.

[0072] Specifically, when it is determined that the transportation urgency level exceeds the preset level, such as medium or high, the system requests the driver to change the environment to a road that matches the driver's current status regarding the duration of fresh produce logistics, allowing the driver to choose a route, and the transportation verification node stores the information.

[0073] In some embodiments, the step of transforming the driver's environment to a road in an associated state and performing transportation verification based on verification nodes specifically includes:

[0074] Determine the road to be pushed based on the semantic association state of the environment;

[0075] The roads to be pushed are interactively integrated based on simulation environment technology, and the data is monitored and stored in real time based on verification nodes. In the event of an accident or order reminder, the associated video or feature data is saved.

[0076] Specifically, environmental semantics can also be seen as an explanation of the duration of fresh food logistics, such as the transportation and delivery location, transportation and delivery equipment, routes, electronic devices, etc. Based on environmental semantics, the route to be pushed is determined and displayed. Furthermore, because it is a simulated environment, it can be interactively integrated to display the duration of fresh food logistics more intuitively and clearly.

[0077] After determining the road to be pushed based on the semantic association state of the environment, the process also includes:

[0078] Collect the driver's metadata characteristics and the driver's agreed-upon past waiting information;

[0079] The first road that matches the driver's physical characteristics is filtered using the metadata features;

[0080] The driver's personalized state is determined by the past waiting information, and the second road is filtered out from the first road based on the personalized state.

[0081] After updating the second road to the road to be pushed, interactive fusion is performed based on simulation environment technology.

[0082] Specifically, the roads to be pushed are interactively integrated based on simulation environment technology. Specifically, a dialogue warning road menu is generated to collect the driver's demand semantics; the associated fresh food logistics time is displayed in a scrolling manner through the demand semantics; in response to the driver's fresh food logistics time selection, the transportation is displayed and a fresh food logistics time warning is generated.

[0083] In this embodiment of the application, the method further includes;

[0084] While displaying the fresh produce delivery time in a scrolling manner, the driver's facial expressions are captured;

[0085] When the facial expression is negative, the fresh produce delivery time is moved or scrolled by the direction of the change in the facial expression.

[0086] Specifically, due to the special nature of virtual devices, the fresh food delivery time can be manipulated through the driver's facial expressions. Negative types are confirmed based on hand images captured by a camera, and the negative type is mainly judged by the state of the thumb and the other four fingers. After judging the negative type, the fresh food delivery time can be moved or scrolled by the change in the direction of the driver's hand, so that the transporter can more conveniently select the fresh food delivery time.

[0087] Based on the above solution, the desired transportation environment for drivers can be accurately and effectively configured, thus improving the driver experience.

[0088] Based on the aforementioned road condition early warning method for coastal port areas, one or more embodiments of this specification also provide a platform or terminal for road condition early warning in coastal port areas. This platform or terminal may include devices, software, units, plug-ins, servers, clients, etc., that transport the methods described in the embodiments of this specification, combined with necessary hardware implementation. Based on the same innovative concept, the devices in one or more embodiments provided in this specification are as described in the following embodiments. Since the implementation schemes for solving the problem by the devices are similar to those of the methods, the implementation of specific devices in the embodiments of this specification can refer to the implementation of the aforementioned methods. Repeated descriptions will not be repeated. The term "unit" or "component" used below can refer to a combination of software and / or hardware that performs a predetermined function. Although the devices explained in the following embodiments are preferably implemented in software, hardware implementations, and a combination of software and hardware, are also possible and contemplated.

[0089] Specifically, Figure 2This is a schematic diagram of the unit structure of an embodiment of a road condition early warning device for coastal port areas provided in this specification, as shown below. Figure 2 As shown, the road condition warning device for coastal port areas provided in this specification includes:

[0090] The data acquisition unit 201 is used to acquire the driver's transportation environment and action information in the simulated environment;

[0091] The warning road menu unit 202 is used to push the warning road menu to the driver based on the action information and the transportation environment;

[0092] The judgment unit 203 is used to judge the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu;

[0093] The configuration unit 204 is used to change the driver's environment to a road in an associated state and perform transportation verification based on the verification node when the transportation emergency level exceeds a preset level.

[0094] It should be noted that the above-described apparatus, through the explanation of the associated method embodiments, may also include other implementation methods. For specific implementation methods, please refer to the explanation of the above-described associated method embodiments, which will not be elaborated here.

[0095] This application also provides an electronic device, including:

[0096] processor;

[0097] Memory used to store the processor's executable instructions;

[0098] The processor is configured to perform the methods provided in the embodiments described above.

[0099] The electronic device provided in this application embodiment is based on the executable instructions of the processor stored in the memory. When the processor executes the executable instructions, it can first collect the driver's transportation environment and action information in the simulated environment; then push the warning road menu to the driver based on the action information and transportation environment; next, determine the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; finally, when the transportation urgency level exceeds the preset level, change the driver's environment to a road in the associated state and perform transportation verification based on the verification node. This can accurately and effectively configure the driver's transportation environment in the simulated environment, and avoid excessive interference to the driver, thereby improving the driver's transportation experience.

[0100] The foregoing has explained specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0101] The methods or apparatus described in the embodiments provided in this specification can implement business logic based on a computer program and store it on a storage medium. The storage medium can be read and executed by a computer to achieve the effects of the solutions explained in the embodiments of this specification, such as:

[0102] Collect information on the driver's transportation environment and actions in the simulated environment;

[0103] Based on the action information and transportation environment, a warning road menu is pushed to the driver;

[0104] The driver's transport urgency level is determined based on the driver's confirmed needs in the warning road menu;

[0105] When the transportation urgency level exceeds a preset level, the driver's environment is changed to a road in an associated state, and transportation verification is performed based on the verification node.

[0106] In the several embodiments provided in this application, it should be understood that the disclosed apparatus, devices, and methods can be implemented in other ways. For example, the apparatus embodiments explained above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, several units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be based on some interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0107] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0108] The specific embodiments of the invention have been described in detail above, but they are only examples, and this application is not limited to the specific embodiments explained above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this application. Therefore, all equivalent changes, modifications, and improvements made without departing from the spirit and principles of this application should be covered within the scope of this application.

Claims

1. A road condition early warning method for coastal port areas, characterized in that, The method includes: Collect information on the driver's transportation environment and actions in the simulated environment; Collect the action information at key points in the transportation environment; Determine the environmental semantics of the key points; When the duration of the key point exceeds the preset duration limit, a warning road menu is generated based on the environmental semantics; The driver's transportation urgency level is determined based on the confirmed demand in the warning road menu; the confirmed demand is determined as the percentage of the current duration of fresh food logistics out of the total number of confirmed demands in all states, and the duration of the driver's continued waiting time after confirming the current duration of fresh food logistics out of the total waiting time is determined. When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration extreme value, or when the duration percentage exceeds the first duration extreme value and the quantity percentage is lower than the duration percentage extreme value, the transportation urgency level is set to high. When the quantity percentage is below the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is below the second duration extreme value, or when the duration percentage is below the first duration extreme value and exceeds the second duration extreme value, and the quantity percentage is below the duration percentage extreme value, the transportation urgency level is set to medium. When the quantity percentage is lower than the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, the transportation urgency level is set to low. When the transportation emergency level exceeds the preset level, the driver's environment is changed to a road with an associated state and transportation verification is performed based on the verification node; The warning road menu includes several other status requirements and the current duration of fresh food logistics; The process of transforming the driver's environment to a road with an associated state and performing transportation verification based on verification nodes specifically includes: Determine the road to be pushed based on the semantic association state of the environment; The roads to be pushed are interactively integrated based on simulation environment technology, and the verification nodes are monitored and stored in real time. In the event of an accident or order reminder, the associated video or feature data is saved. After determining the road to be pushed based on the semantic association state of the environment, the process also includes: Collect the driver's metadata characteristics and the driver's agreed-upon past waiting information; The first road that matches the driver's physical characteristics is filtered using the metadata features; The driver's personalized state is determined by the past waiting information, and the second road is filtered out from the first road based on the personalized state. After updating the second road to the road to be pushed, interactive fusion is performed based on simulation environment technology.

2. The road condition early warning method for coastal port areas according to claim 1, characterized in that, Collect driver's transportation environment and action information in the simulated environment, specifically including: Driver attentional characteristic data are collected using equipment in a simulated environment. The attitude localization method is used to determine the driver's action information from the attention feature data.

3. The road condition early warning method for coastal port areas according to claim 2, characterized in that, The roads to be pushed will be interactively integrated based on simulation environment technology, specifically including: Generate a dialogue warning road menu and collect the semantic needs of the driver; The associated fresh food delivery time will be displayed in a scrolling manner using demand semantics; The system responds to the driver's choice of fresh produce delivery time, displays the transportation schedule, and generates a fresh produce delivery time warning.

4. The road condition early warning method for coastal port areas according to claim 3, characterized in that, The method further includes; While displaying the fresh produce delivery time in a scrolling manner, the driver's facial expressions are captured; When the facial expression is negative, the fresh produce delivery time is moved or scrolled by the direction of the change in the facial expression.

5. A road condition early warning device for coastal port areas, characterized in that, The device includes: The data acquisition unit is used to collect information about the driver's transportation environment and actions in the simulated environment. The warning road menu unit is used to push the warning road menu to the driver based on the action information and the transportation environment; The judgment unit is used to determine the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; The configuration unit is used to change the driver's environment to a road with an associated state and perform transportation verification based on the verification node when the transportation emergency level exceeds a preset level. The device is used to perform a road condition early warning method for coastal port areas according to any one of claims 1-4.

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