Road state early warning method and device for coastal port area

Abstract

The invention relates to the technical field of road navigation simulation, in particular to a road state early warning method and device for a coastal port district, and the method comprises the steps: collecting the transportation environment and motion information of a driver in a simulation environment; pushing an early warning road menu to a driver according to the action information and the transportation environment; according to the confirmed demand of the driver in the early warning road menu, the transportation emergency level of the driver is judged; and when the transportation emergency level exceeds a preset level, changing the environment in which the driver is located into a road in an associated state, and carrying out transportation verification based on the verification node. According to the invention, the quality of products can be monitored and managed in the road transportation process, the problem that fresh goods are damaged in the transportation process is avoided, the in-vehicle environment in the fresh goods transportation process can be monitored in real time, and adjustment can be made according to the real-time transportation path to ensure timeliness.

Description

Technical Field

[0001] The present application relates to the technical field of road navigation simulation, and in particular to a road status early warning method and device for coastal port areas. Background Art

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

[0003] However, in the prior art, it is inconvenient to monitor and manage the quality of products during transportation, which may cause damage to fresh goods during transportation; however, the system cannot monitor the in-vehicle environment during the transportation of fresh goods in real time, 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 solutions: A road status early warning method for coastal port areas, characterized in that the method comprises: Collect the driver's transportation environment and action information in the simulated environment; Pushing a warning road menu to the driver based on the action information and the transportation environment; Determining the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; When the transportation urgency level exceeds a preset level, the driver's environment is changed to a road in a related state and a transportation check is performed based on a check node.

[0005] Furthermore, the transportation environment and action information of the driver in the simulation environment are collected, including: Collecting driver's attention characteristic data based on simulated environment equipment; The driver's action information is determined from the attention feature data based on a posture localization method.

[0006] Further, the pushing of the warning road menu to the driver based on the action information and the transportation environment specifically includes: Collecting the motion information at key points in the transportation environment; Determining the environmental semantics of the key point; When the duration of the key point exceeds a preset duration limit, a warning road menu is generated according to the environmental semantics.

[0007] Furthermore, the warning road menu includes a number of other state requirements and the current duration of fresh food logistics. The driver's transportation urgency level is determined based on the driver's confirmed requirements in the warning road menu, specifically including: Determine the percentage of the current duration of the confirmed demand for fresh food logistics to the confirmed demands in all states, and determine the percentage of the duration of the driver's waiting time after confirming the current duration of fresh food logistics to the total waiting time; When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration percentage 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 lower than the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, or when the duration percentage is lower than the first duration extreme value and exceeds the second duration extreme value and the quantity percentage is lower than the duration 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 a low level.

[0008] Furthermore, the step of transforming the driver's environment to a road in an associated state and performing transportation verification based on a verification node specifically includes: Determine the roads to be pushed in the environment semantic association state; The roads to be pushed are interactively integrated based on the simulation environment technology, and are monitored and stored in real time based on the verification nodes, and the associated videos or feature data are saved when there are accidents and reminders.

[0009] Furthermore, after determining the roads to be pushed in the state of the environment semantic association, the method further includes: Collecting metadata characteristics of the driver and past waiting information agreed by the driver; filtering a first road matching the driver's physical characteristics by the metadata characteristics; Determining the driver's personalized state through the past waiting information, and filtering out the second road from the first road through the personalized state; After the second road is updated to the road to be pushed, interactive fusion is performed based on the simulation environment technology.

[0010] Furthermore, the roads to be pushed are interactively integrated based on the simulation environment technology, including: Generate a dialogue warning road menu to collect the driver's demand semantics; The duration of related fresh food logistics is displayed in a scrolling manner based on demand semantics; Respond to the driver's fresh food logistics time selection to display the transportation and generate a fresh food logistics time warning.

[0011] Furthermore, the method further comprises: When the fresh food logistics duration is scrolled and displayed, collecting the driver's facial expression; When the facial expression is of a negative type, the fresh food logistics duration is moved or scrolled according to the changing direction of the facial expression.

[0012] According to a second aspect of the present invention, the present invention claims protection for a road status warning device for a coastal port area, the device comprising: A collection unit, used to collect the driver's transportation environment and action information in the simulated environment; A warning road menu unit, used to push a warning road menu to the driver according to the action information and the transportation environment; A judgment unit, used to judge the driver's transportation urgency level according to the driver's confirmed needs in the warning road menu; A configuration unit, configured to, when the transport emergency level exceeds a preset level, transform the driver's environment to a road in an associated state and perform transport verification based on a verification node; The device is used to execute the road status early warning method for coastal port areas.

[0013] The present application relates to the field of road navigation simulation technology, and in particular to a road status warning method and device for coastal port areas, which collects the transportation environment and action information of the driver in the simulated environment; pushes the warning road menu to the driver based on the action information and transportation environment; judges the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; when the transportation urgency level exceeds the preset level, the driver's environment is transformed to a road in an associated state and a transportation verification is performed based on the verification node. The present invention can monitor and manage the quality of products during road transportation, avoid the problem of damage to fresh goods during transportation, and can monitor the in-vehicle environment during the transportation of fresh goods in real time, and make adjustments based on the real-time transportation path to ensure timeliness. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of a process of a road status early warning method for coastal port areas claimed for protection in an embodiment of the present application; Figure 2 This is a structural module diagram of a road status warning device for coastal port areas that is requested to be protected by an embodiment of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely explain the technical solutions in the embodiments of the present application. Obviously, the explained embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] The terms "first", "second" and "third" in this application are only used for interpretation purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the interpretation of this application, the meaning of "several" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In the embodiments of this application, all directional indications (such as up, down, left, right, front, back...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or equipment.

[0017] Reference to "embodiments" herein means that a particular feature, structure, or characteristic explained in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments explained herein may be combined with other embodiments.

[0018] like Figure 1The flowchart of the road status warning method for coastal port areas provided by the embodiment of this specification is shown. Although this specification provides the method operation steps or device structures shown in the following embodiments or drawings, more or fewer operation steps or units can be included in the method or device according to routine or without creative labor. In the steps or structures where there is no necessary causal relationship logically, the execution order of these steps or the unit structure of the device is not limited to the execution order or unit structure shown in the embodiments or 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 drawings (for example, in the environment of parallel processors or multi-threaded processing, or even in the implementation environment of distributed processing and server clusters).

[0019] The road status warning method for coastal port areas provided in the present embodiment can be applied to terminal devices such as cloud clients and servers, such as Figure 1 As shown, the method specifically comprises the following steps: Step S101: collecting the transportation environment and action information of the driver in the simulated environment.

[0020] Specifically, the configuration of the traditional transportation environment is generally that the driver directly enters the navigation to make a selection and then configure it. In the actual experience process, it is impossible to recommend the fresh logistics duration and then configure it according to the driver's current needs. The driver's needs can be judged based on the duration of the posture. Usually, the more concerned the driver is about a certain fresh logistics duration, the longer the posture will last at the related fresh logistics duration. Current mobile phones and computers are unable to detect this phenomenon. The simulation environment equipment solves this drawback because it needs to interact with the driver's posture and can more accurately identify the driver's potential needs.

[0021] In the embodiment of the present application, the transportation environment and action information of the driver in the simulated environment are collected, specifically including: Collecting driver's attention characteristic data based on simulated environment equipment; The driver's action information is determined from the attention feature data based on a posture localization method.

[0022] Specifically, based on the sensors of the simulated environment equipment, the driver's attention feature data can be collected in real time, and then the driver's action information, that is, the driver's posture, can be judged in the attention feature data based on the preset posture positioning method. Judging the driver's posture means judging where the driver's current focus is, so that we can more clearly understand what the driver is currently paying attention to.

[0023] Step S102: Pushing a warning road menu to the driver based on the action information and the transportation environment.

[0024] Specifically, the purpose of pushing the warning road menu is to confirm whether the driver has a transportation emergency. When the driver enters the simulation environment, he may be driving at a high speed or at a medium or low speed. When driving at a medium or low speed, the display environment of the simulation environment is the transportation environment selected by the driver. Through the different transportation environments and action information, that is, the different focus points, the relevant warning road menu is pushed to the driver to judge the driver's needs.

[0025] In the embodiment of the present application, the pushing of the warning road menu to the driver based on the action information and the transportation environment specifically includes: Collecting the motion information at key points in the transportation environment; Determining the environmental semantics of the key point; When the duration of the key point exceeds a preset duration limit, a warning road menu is generated according to the environmental semantics.

[0026] Specifically, after determining the action information, that is, the posture, the simulation environment equipment also needs to determine where the driver's current gaze is directed through the posture. For example, in transportation and delivery activities, the gaze continues to be on the transportation and delivery process of other transportation and delivery personnel, or continues to be on other transportation and delivery tools. If it continues to be on the transportation and delivery container, and the duration exceeds the preset time limit, it means 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.

[0027] Step S103: determining the driver's transportation urgency level according to the driver's confirmed needs in the warning road menu.

[0028] In the embodiment of the present application, the warning road menu includes several other status requirements and the current duration of fresh food logistics. The driver's transportation urgency level is judged based on the driver's confirmed requirements in the warning road menu, specifically including: Determine the percentage of the current duration of the confirmed demand for fresh food logistics to the confirmed demands in all states, and determine the percentage of the duration of the driver's waiting time after confirming the current duration of fresh food logistics to the total waiting time; When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration percentage 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 lower than the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, or when the duration percentage is lower than the first duration extreme value and exceeds the second duration extreme value and the quantity percentage is lower than the duration 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 a low level.

[0029] Specifically, the above-mentioned warning road menu is used to confirm whether the driver has an emergency for transportation. In order to achieve the effectiveness of this judgment, it is quantified into two standards: driver selection and waiting time. The warning road menu has the current duration of fresh logistics and warning requirements as well as other requirements set by technical personnel in this field based on actual conditions. When the driver selects the current duration of fresh logistics, it means that the driver is concerned about the duration of fresh logistics. If the first extreme value of the number of times the current duration of fresh logistics is confirmed accounts for the total number of confirmed requirements, which exceeds the extreme value of the number percentage or the extreme value of the duration percentage, it means that the driver has confirmed the duration of fresh logistics more times and is concerned about the duration of fresh logistics. The waiting time can be the above-mentioned proportion of waiting time or a separately calculated waiting time. The judgment process is similar to the proportion of waiting time. The waiting time can also judge the driver's degree of concern about the duration of fresh logistics.

[0030] Step S104: When the transport emergency level exceeds a preset level, the driver's environment is changed to a road in an associated state and a transport check is performed based on a check node.

[0031] Specifically, when it is determined that the transportation urgency level exceeds a preset level, such as intermediate or advanced, the driver is requested to change the environment to a road that is consistent with the duration of fresh food logistics that the driver is concerned about, for the driver to select, and the transportation verification node is stored.

[0032] In some embodiments, the step of transforming the driver's environment to a road in an associated state and performing transportation verification based on a verification node specifically includes: Determine the roads to be pushed in the environment semantic association state; The roads to be pushed are interactively integrated based on the simulation environment technology, and are monitored and stored in real time based on the verification nodes, and the associated videos or feature data are saved when there are accidents and reminders.

[0033] Specifically, environmental semantics can also be seen as an explanation of the duration of fresh food logistics. For example, the transportation and delivery location, transportation and delivery equipment, routes, electronic equipment, etc., are used to determine the roads to be pushed and display them based on environmental semantics. And because it is a simulated environment, it can be interactively integrated to display the duration of fresh food logistics more intuitively and clearly.

[0034] After determining the roads to be pushed in the environment semantic association state, the method further includes: Collecting metadata characteristics of the driver and past waiting information agreed by the driver; filtering a first road matching the driver's physical characteristics by the metadata characteristics; Determining the driver's personalized state through the past waiting information, and filtering out the second road from the first road through the personalized state; After the second road is updated to the road to be pushed, interactive fusion is performed based on the simulation environment technology.

[0035] Specifically, the roads to be pushed are interactively integrated based on the simulation environment technology, specifically, a dialogue warning road menu is generated to collect the driver's demand semantics; the associated fresh logistics duration is scrolled and displayed through the demand semantics; the driver's fresh logistics duration selection is responded to for transportation display and a fresh logistics duration warning is generated.

[0036] In an embodiment of the present application, the method further includes: When the fresh food logistics duration is scrolled and displayed, collecting the driver's facial expression; When the facial expression is of a negative type, the fresh food logistics duration is moved or scrolled according to the changing direction of the facial expression.

[0037] Specifically, due to the particularity of the virtual device, the fresh food logistics duration can be operated through the driver's facial expressions. The negative type is confirmed based on the hand image collected by the 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 logistics duration can be moved or scrolled according to the changing direction of the driver's hand, so that the transport users can more conveniently select the fresh food logistics duration.

[0038] Based on the above solution, the transportation environment desired by the driver can be accurately and effectively configured, thereby improving the driver experience.

[0039] According to the above-mentioned road status warning method for coastal port areas, one or several embodiments of this specification also provide a platform and terminal for road status warning for coastal port areas. The platform or terminal may include a device, software, unit, plug-in, server, client, etc. for transporting the method described in the embodiments of this specification and a device combined with necessary implementation hardware. According to the same innovative concept, the device in one or several embodiments provided in the embodiments of this specification is as described in the following embodiments. Since the implementation scheme and method of the device to solve the problem are similar, the implementation of the specific device in the embodiments of this specification can refer to the implementation of the aforementioned method, and the repetitions will not be repeated. The term "unit" or "unit" transported below can implement a combination of software and / or hardware with predetermined functions. Although the device explained in the following embodiments is preferably implemented in software, hardware, and the implementation of a combination of software and hardware is also possible and conceived.

[0040] Specifically, Figure 2 This is a schematic diagram of the unit structure of an embodiment of a road status warning device for coastal port areas provided in this specification, such as Figure 2 As shown, the road status warning device for coastal port areas provided in this specification includes: A collection unit 201 is used to collect the transportation environment and action information of the driver in the simulated environment; A warning road menu unit 202 is used to push a warning road menu to the driver according to the action information and the transportation environment; A judgment unit 203, configured to judge the driver's transportation urgency level according to the driver's confirmed needs in the warning road menu; The configuration unit 204 is configured to, when the transport emergency level exceeds a preset level, transform the driver's environment to a road in an associated state and perform transport verification based on a verification node.

[0041] It should be noted that the above-mentioned device may also include other implementation modes through the explanation of the associated method embodiment. The specific implementation mode may refer to the explanation of the above-mentioned associated method embodiment, which will not be described one by one here.

[0042] The present application also provides an electronic device, including: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the method provided in the above embodiment.

[0043] The electronic device provided in the embodiment of the present application 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 transportation environment and action information of the driver in the simulated environment; then push the warning road menu to the driver based on the action information and the transportation environment; then judge 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, the driver's environment is transformed to a road in an associated state and a transportation verification is performed based on the verification node. The transportation environment of the driver can be accurately and effectively configured in the simulated environment, excessive interference to the driver is avoided, and the driver's transportation experience is improved.

[0044] The above is an explanation of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0045] The methods or devices described in the above embodiments provided in this specification can implement business logic based on computer programs and store them on storage media, which can be read and executed by computers to achieve the effects of the solutions explained in the embodiments of this specification, such as: Collect the driver's transportation environment and action information in the simulated environment; Pushing a warning road menu to the driver based on the action information and the transportation environment; Determining the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; When the transportation urgency level exceeds a preset level, the driver's environment is changed to a road in a related state and a transportation check is performed based on a check node.

[0046] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented based on other ways. For example, the device embodiments explained above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, several units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be based on some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0047] In addition, each functional unit in each embodiment of the present 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 above integrated unit can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

[0048] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods explained above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A road status early warning method for coastal port areas, characterized in that: The method comprises: Collect the driver's transportation environment and action information in the simulated environment; Pushing a warning road menu to the driver based on the action information and the transportation environment; Determining the driver's transportation urgency level based on the driver's confirmed needs in the warning road menu; When the transportation urgency level exceeds a preset level, the driver's environment is changed to a road in a related state and a transportation check is performed based on a check node.

2. The road status early warning method for coastal port areas according to claim 1 is characterized in that: Collect the driver's transportation environment and action information in the simulated environment, including: Collecting driver's attention characteristic data based on simulated environment equipment; The driver's action information is determined from the attention feature data based on a posture localization method.

3. The road status early warning method for coastal port areas according to claim 2 is characterized in that: The method of pushing a warning road menu to the driver based on the action information and the transportation environment specifically includes: Collecting the motion information at key points in the transportation environment; Determining the environmental semantics of the key point; When the duration of the key point exceeds a preset duration limit, a warning road menu is generated according to the environmental semantics.

4. The road status early warning method for coastal port areas according to claim 1 is characterized in that: The warning road menu includes several other status requirements and the current duration of fresh food logistics. The driver's transportation urgency level is determined based on the driver's confirmed requirements in the warning road menu, specifically including: Determine the percentage of the current duration of the confirmed demand for fresh food logistics to the confirmed demands in all states, and determine the percentage of the duration of the driver's waiting time after confirming the current duration of fresh food logistics to the total waiting time; When the quantity percentage exceeds the quantity percentage extreme value and the duration percentage is lower than the second duration percentage 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 lower than the quantity percentage extreme value and exceeds the duration percentage extreme value, and the duration percentage is lower than the second duration extreme value, or when the duration percentage is lower than the first duration extreme value and exceeds the second duration extreme value and the quantity percentage is lower than the duration 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 a low level.

5. The road status early warning method for coastal port areas according to claim 3 is characterized in that: The step of transforming the driver's environment to a road in an associated state and performing transportation verification based on a verification node specifically includes: Determine the roads to be pushed in the environment semantic association state; The roads to be pushed are interactively integrated based on the simulation environment technology, and are monitored and stored in real time based on the verification nodes, and the associated videos or feature data are saved when there are accidents and reminders.

6. The road status early warning method for coastal port areas according to claim 5 is characterized in that: After determining the roads to be pushed in the environment semantic association state, the method further includes: Collecting metadata characteristics of the driver and past waiting information agreed by the driver; filtering a first road matching the driver's physical characteristics by the metadata characteristics; Determining the driver's personalized state through the past waiting information, and filtering out the second road from the first road through the personalized state; After the second road is updated to the road to be pushed, interactive fusion is performed based on the simulation environment technology.

7. The road status early warning method for coastal port areas according to claim 5 is characterized in that: The roads to be pushed are interactively integrated based on the simulation environment technology, including: Generate a dialogue warning road menu to collect the driver's demand semantics; The duration of related fresh food logistics is displayed in a scrolling manner based on demand semantics; Respond to the driver's fresh food logistics time selection to display the transportation and generate a fresh food logistics time warning.

8. The road status early warning method for coastal port areas according to claim 7 is characterized in that: The method further comprises: When the fresh food logistics duration is scrolled and displayed, collecting the driver's facial expression; When the facial expression is of a negative type, the fresh food logistics duration is moved or scrolled according to the changing direction of the facial expression.

9. A road status warning device for coastal port areas, characterized in that: The device comprises: A collection unit, used to collect the driver's transportation environment and action information in the simulated environment; A warning road menu unit, used to push a warning road menu to the driver according to the action information and the transportation environment; A judgment unit, used to judge the driver's transportation urgency level according to the driver's confirmed needs in the warning road menu; A configuration unit, configured to, when the transport emergency level exceeds a preset level, transform the driver's environment to a road in an associated state and perform transport verification based on a verification node; The device is used to execute a road status early warning method for coastal port areas according to any one of claims 1-8.

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