General highway risk identification and early warning system based on global linkage

Abstract

The invention provides a general highway risk identification and early warning system based on global linkage, and belongs to the technical field of traffic safety, the general highway risk identification and early warning system specifically comprises a monitoring module, an independent power supply module and an early warning broadcast module, the monitoring module is used for monitoring and identifying geological disaster risks based on various sensors and generating early warning information, and the independent power supply module is used for sending the early warning information to the early warning broadcast module; the early warning broadcast module is used for transmitting geological disaster risks identified by the monitoring module to a road user or a management department through acousto-optic warning and wireless communication methods according to early warning information, and the independent power supply module is used for providing energy support for the monitoring module and the early warning broadcast module. And the equipment can normally operate in remote mountainous areas and environments with insufficient power grid coverage. According to the scheme, the risk disposal speed and accuracy are improved; the manual inspection cost is reduced, and the coverage range and the real-time performance of monitoring are improved; the false alarm rate is effectively reduced through multi-sensor data fusion; the system adapts to various extreme environments and ensures stable operation of the system.

Description

Technical Field

[0001] This application relates to the technical field of traffic safety, and particularly to an early warning system for risk identification of ordinary roads based on global linkage. Background Art

[0002] Currently, the night traffic safety monitoring technology still faces many challenges, which directly affect the traffic safety management level of mountain roads at night. Mountain roads are often threatened by natural disasters such as landslides and mudslides. Especially at night, the reduced visibility further exacerbates the difficulty of monitoring potential risks. Traditional monitoring systems usually rely on manual inspections and daytime visual monitoring, which are ineffective in low-light conditions. In addition, the performance of many monitoring devices is unstable in bad weather and extreme environments, making it difficult to meet the requirements of all-weather and efficient monitoring.

[0003] The existing monitoring capabilities are also significantly insufficient. Especially in high-risk sections, the night recognition ability of monitoring devices is weak and cannot cope with complex natural environments. Traditional monitoring methods lack high-precision sensing devices such as infrared imaging technology and millimeter-wave radar technology, which greatly reduces the monitoring range and data acquisition accuracy. At the same time, the existing disaster early warning systems mainly focus on single-point monitoring, lack systematic risk analysis capabilities, have slow early warning response speeds, and cannot notify relevant management departments and road users in time, thus reducing the efficiency of emergency response.

[0004] In terms of power supply and communication, remote mountainous areas and high-risk sections face more restrictions. Traditional monitoring devices often rely on grid power supply and are difficult to adapt to areas with insufficient power. Especially in extreme weather, faults in traditional power systems can cause the devices to malfunction. In addition, due to insufficient network coverage, the real-time monitoring and data transmission capabilities are greatly limited, and these technical shortcomings further restrict the popularization and application of existing monitoring systems.

[0005] Therefore, it is particularly necessary to develop a comprehensive solution that can adapt to extreme environments and has all-weather monitoring capabilities.

[0006] In the current research on night-time traffic safety monitoring technologies, significant progress has been made in multi-sensor information fusion and intelligent image processing technologies. However, most of the current research focuses on the algorithm and system design levels, and there is still insufficient adaptability for complex applications in actual scenarios. For example, in special environments such as mountain roads, existing technologies consider less about the deployment of equipment, energy supply, and the reliability of long-term operation. In addition, the real-time and stability of sensor data also face technical bottlenecks in areas with insufficient network coverage or extreme environments. More importantly, these studies have not yet formed a complete solution that is low-cost and modular, making it difficult to meet the needs of widespread deployment in remote areas. Therefore, despite the rapid technological progress, its large-scale implementation and application in actual traffic safety management still face many challenges. Summary of the Invention

[0007] In view of this, an ordinary highway risk identification and early warning system based on global linkage is provided in an embodiment of the present application. For the global linkage identification and early warning of risks in high-risk sections of ordinary highways, through the coordinated action of three subsystems: a multi-sensor integrated monitoring module, an independent power supply module, and an early warning broadcast module, it realizes the efficient monitoring and early warning of geological disasters such as landslides, collapses, and settlements, making up for the limitations of existing technologies in night-time monitoring.

[0008] An embodiment of the present application provides an ordinary highway risk identification and early warning system based on global linkage. The system includes a monitoring module, an independent power supply module, and an early warning broadcast module. The monitoring module is used to monitor and identify geological disaster risks based on multiple sensors and generate early warning information. The early warning broadcast module is used to transmit the geological disaster risks identified by the monitoring module to road users or management departments through acoustic and optical warnings and wireless communication methods according to the early warning information. The independent power supply module is used to provide energy support for the monitoring module and the early warning broadcast module, enabling the equipment to operate normally in remote mountainous areas and environments with insufficient power grid coverage.

[0009] According to a specific implementation manner of an embodiment of the present application, the monitoring module includes a millimeter-wave radar, a lidar, an infrared camera, a sensor network, and an unmanned aerial vehicle (UAV). The UAV automatically patrols a preset high-risk area through a preset flight path, real-time collects image and video data and uploads it to the control center. When the risk level of a certain area increases, the UAV automatically adjusts the flight path and issues an alarm.

[0010] According to a specific implementation manner of an embodiment of the present application, the sensor network includes a temperature sensor, a rain gauge, a surface displacement sensor, a layered settlement gauge, an earth pressure cell, and a crack gauge.

[0011] According to a specific implementation manner of an embodiment of the present application, the system further includes a data report generation module, and the data report generation module is used to generate a report according to the monitoring data of the monitoring module and the manual inspection record.

[0012] According to a specific implementation manner of an embodiment of the present application, the early warning broadcast module includes a warning device and a communication sub-module. The warning device is used to issue a sound and light warning according to the early warning information, and the communication sub-module is used to upload and distribute the monitoring data, the early warning information and the report in real time.

[0013] According to a specific implementation manner of an embodiment of the present application, the warning device includes a drone loudspeaker, a drone warning light and a fixed LED warning light.

[0014] According to a specific implementation manner of an embodiment of the present application, the independent power supply module includes a solar photovoltaic power generation sub-module and a drone wireless charging sub-module. The solar photovoltaic power generation sub-module is used to convert solar energy into electric energy for the use of the monitoring module and the early warning broadcast module, and the drone wireless charging sub-module provides endurance support for the drone through electromagnetic induction.

[0015] According to a specific implementation manner of an embodiment of the present application, the independent power supply module further includes an intelligent power management sub-module, and the intelligent power management sub-module is used to monitor the power requirements of each device in the module in real time and dynamically allocate energy.

[0016] According to a specific implementation manner of an embodiment of the present application, the intelligent power management sub-module is provided with an abnormal power warning sub-module.

[0017] According to a specific implementation manner of an embodiment of the present application, the system further includes a data visualization module, and the data visualization module is used to generate a geological disaster distribution heat map based on the monitoring data of the monitoring module and the GIS technology to display the disaster density and risk characteristics of each region.

[0018] Beneficial effects:

[0019] In the risk identification and early warning system for ordinary roads based on global linkage in the embodiment of the present application, through the coordinated action of three subsystems, namely, a multi-sensor integrated monitoring module, an independent power supply module and an early warning broadcast module, the efficient monitoring and early warning of geological disasters such as landslides, collapses and settlements are realized, making up for the limitations of the prior art in night monitoring.

[0020] The system integrates a variety of advanced technologies and devices to achieve data linkage. Through all-weather, automated, and intelligent risk monitoring, it ensures traffic safety in remote mountainous areas and extreme environmental conditions. The system realizes the linkage of personnel and equipment, and significantly improves the speed and accuracy of risk disposal through an efficient information transmission and collaboration mechanism.

[0021] In addition, this system reduces the cost of manual inspections, improves the coverage and real-time nature of monitoring; through multi-sensor data fusion, it effectively reduces the false alarm rate; it adapts to various extreme environments to ensure the stable operation of the system; at the same time, it features low cost and high reliability. Brief Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0023] Figure 1 It is a framework diagram of a general highway risk identification and early warning system based on global linkage according to an embodiment of the present invention. Detailed Embodiments

[0024] The embodiments of the present application will be described in detail below with reference to the drawings.

[0025] The following uses specific specific examples to illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. The present application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0026] It should be noted that the following describes various aspects of embodiments within the scope of the appended claims. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is illustrative only. Based on this application, those skilled in the art should understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement a device and / or practice a method. Additionally, this device can be implemented and this method can be practiced using other structures and / or functionality in addition to one or more of the aspects described herein.

[0027] It should also be noted that the diagrams provided in the following embodiments only illustrate the basic concept of this application schematically. The diagrams only show the components related to this application and are not drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0028] In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0029] The embodiments of this application provide a general highway risk identification and early warning system based on global linkage, which is a global linkage comprehensive night risk identification and early warning system for dangerous sections of general highways (such as bridges, tunnel entrances, high-risk slopes, etc.). The following will refer to Figure 1 for a detailed description. The system includes a monitoring module, an independent power supply module, and an early warning broadcast module. The monitoring module is used to monitor and identify geological disaster risks based on multiple sensors and generate early warning information. The early warning broadcast module is used to transmit the geological disaster risks identified by the monitoring module to road users or management departments through acoustic and optical warnings and wireless communication methods according to the early warning information. The independent power supply module is used to provide energy support for the monitoring module and the early warning broadcast module, enabling the device to operate normally in remote mountainous areas and environments with insufficient power grid coverage.

[0030] In specific implementation, for the monitoring module, it integrates multiple sensors and focuses on achieving high-precision monitoring and identification of geological disasters. This module deploys advanced devices such as millimeter-wave radars, lidars, and infrared cameras, as well as a variety of environmental monitoring sensors (such as temperature sensors, rain gauges, surface displacement sensors, settlement gauges, and crack gauges). The millimeter-wave radar, with its excellent penetration ability and all-weather operation characteristics, can provide accurate dynamic monitoring data under harsh conditions such as heavy rain and thick fog; the lidar, through high-resolution three-dimensional modeling technology, can monitor the structural dynamic changes of key areas such as bridges and tunnel entrances in real time. The infrared camera can provide clear visual data at night and in low-light environments, and combined with AI image recognition algorithms, it can automatically detect targets such as vehicles, pedestrians, and obstacles.

[0031] Drones are an important part of the monitoring module and are used to make up for the coverage blind spots of manual inspections. Drones are equipped with devices such as night vision cameras, lidars, and sensors, and patrol high-risk areas through preset paths or real-time instructions. Drones use AI algorithms to analyze the collected data in real time, quickly identify potential risks such as landslides and settlements, and transmit the data to the system background through wireless communication technology to provide real-time monitoring information for the management center. The flexibility and efficiency of drones significantly improve the monitoring ability of the system in complex terrains and extreme conditions.

[0032] For the independent power supply module, this module provides stable energy support for the entire monitoring and warning module to ensure the normal operation of the equipment in remote mountainous areas and environments with insufficient power grid coverage. This module takes solar photovoltaic power generation as the core, stores the solar energy during the day through high-efficiency energy storage batteries, and provides energy guarantee for night operation. At the same time, the system also introduces drone wireless charging technology as a supplementary power supply solution to cope with continuous rainy weather or special situations. The drone base station is equipped with a wireless energy transmission device to charge the drone through electromagnetic induction or radio waves, thus realizing independent power supply for the inspection drone and further enhancing the flexibility and reliability of the system.

[0033] The independent power supply module not only reduces the dependence on the traditional power grid, but also optimizes the power distribution through the intelligent energy management sub-module, ensuring the long-term stable operation of the entire monitoring network. Especially under extreme weather conditions (such as heavy rain, heavy snow, etc.), the stability and durability of the independent power supply system are crucial for the efficient operation of the entire system.

[0034] For the early warning broadcast module, it is the core of the emergency response system of this system. Through efficient acoustic and optical warning and wireless communication technologies, it can quickly transmit disaster risks to road users and management departments. The drone module plays a key role in the early warning broadcast system. The drone is equipped with high-brightness warning lights and a voice loudspeaker. After detecting potential disasters, it can quickly fly to the scene and issue warnings to nearby vehicles and pedestrians in the form of broadcasts. At the same time, the system also supports real-time transmission of detailed risk reports to relevant management departments through wireless communication technologies, providing data support for emergency response.

[0035] Combined with the real-time data of the monitoring module, the early warning broadcast module can significantly reduce information transmission delays and remind drivers to take evasive measures in time through acoustic and optical warnings, effectively reducing accident risks. In addition, the drone can also serve as a temporary communication node to maintain communication with the scene during disasters, ensuring the efficient development of emergency command and rescue.

[0036] Through the organic integration of the multi-sensor integrated monitoring module, the independent power module, and the early warning broadcast module, this application realizes all-weather and all-round monitoring and emergency management of dangerous sections of ordinary highways. The system's efficient risk identification ability, intelligent response mechanism, and stable energy support provide strong technical guarantees for highway traffic safety. Especially in remote mountainous areas and extreme environmental conditions, the system demonstrates strong adaptability and practicality, not only significantly improving the scientificity and efficiency of highway safety management but also providing important references for the field of geological disaster monitoring and laying a solid foundation for the development of transportation intelligence.

[0037] In one embodiment, the monitoring module includes a millimeter-wave radar, a lidar, an infrared camera, a sensor network, and a drone; the drone automatically patrols a preset high-risk area through a preset route, real-time collects image and video data and uploads it to the control center. When the risk level of a certain area increases, the drone automatically adjusts the route and issues an alarm.

[0038] Furthermore, the sensor network includes a temperature sensor, a rain gauge, a surface displacement sensor, a layered settlement gauge, an earth pressure cell, and a crack gauge.

[0039] In specific implementation, the monitoring module is the core module of this system, used to comprehensively monitor the geological disaster risks in key areas along the highway. Based on high-precision sensing devices and intelligent analysis technologies, the monitoring module can collect and analyze environmental data in real time and identify risks such as landslides, collapses, and settlements. The specific contents are as follows:

[0040] 1.1 Core hardware devices

[0041] 1.1.1 Millimeter-wave radar

[0042] Millimeter-wave radar, with its excellent penetration performance and all-weather operation ability, can monitor distant targets in bad weather such as heavy rain and thick fog. It is particularly suitable for monitoring dynamic features such as terrain changes and geological settlements before landslides.

[0043] 1.1.2 Lidar

[0044] Lidar realizes high-resolution modeling through three-dimensional scanning technology, accurately captures structural changes in areas such as bridges, tunnel entrances, and high-risk slopes, and is an important device for complex terrain monitoring.

[0045] 1.1.3 Infrared camera

[0046] This device has the imaging ability in low-light environments. Combined with AI image recognition algorithms, it can automatically identify vehicles, pedestrians, and obstacles at night, providing reliable support for real-time monitoring.

[0047] 1.1.4 Sensor network

[0048] The sensor network deploys a variety of high-precision devices, including temperature sensors, rain gauges, surface displacement sensors, layer settlement gauges, earth pressure cells, and crack meters, etc. These sensors work together to collect environmental and geological change data in real time, providing a scientific basis for disaster prediction.

[0049] 1.1.5 UAV module

[0050] The UAV module is an important supplement to the system. It is equipped with lidar, night vision cameras, and various sensors to cover blind spots in ground monitoring. The UAV can automatically patrol high-risk areas through preset routes, collect image and video data in real time and upload them to the control center. When the risk level of a certain area increases, the UAV can automatically adjust the cruise path and issue alarms through a loudspeaker and high-brightness warning lights.

[0051] 1.2 Working process of the monitoring module

[0052] (1) The sensor network collects environmental and geological data in real time and transmits it to the background through the wireless communication sub-module;

[0053] (2) The GIS system dynamically displays the distribution of sensors and monitoring data in the monitoring area;

[0054] (3) The infrared camera and AI algorithm cooperate to process and identify dynamic targets and potential risks;

[0055] (4) After detecting abnormal situations, the UAV performs supplementary inspections and provides high-definition images and real-time data;

[0056] (5) The system background integrates the data and generates real-time risk prediction results, which are displayed on the GIS platform in the form of layers.

[0057] In one embodiment, the warning broadcast module includes a warning device and a communication sub-module. The warning device is used to issue audible and visual warnings according to the warning information, and the communication sub-module is used to upload and distribute the monitoring data, the warning information, and the report in real time.

[0058] Furthermore, the warning device includes a drone loudspeaker, a drone warning light, and a fixed LED warning light.

[0059] In specific implementation, the warning broadcast module ensures the rapid implementation from disaster identification to emergency response by transmitting risk information in real time, significantly reducing the impact of disasters on highway safety. The specific contents are as follows:

[0060] 2.1 Core hardware devices

[0061] 2.1.1 Drone loudspeaker and warning light

[0062] The drone is equipped with a high-brightness LED warning light and a long-distance loudspeaker, and can quickly reach the risk area in case of an emergency, and issue an alarm to surrounding vehicles and pedestrians through broadcasting and visual warnings.

[0063] 2.1.2 Fixed LED warning light

[0064] The fixed LED warning lights deployed in key areas indicate potential dangers through flashing signals and colors, providing clear risk guidance for drivers.

[0065] 2.1.3 Communication sub-module

[0066] The communication sub-module ensures the real-time upload and distribution of monitoring data, warning information, and disaster reports through various network transmission technologies such as 4G / 5G / Wi-Fi.

[0067] 2.2 Working process of the warning broadcast module

[0068] (1) After the system identifies a potential risk, it immediately triggers the warning broadcast mechanism;

[0069] (2) The drone quickly goes to the risk area and activates the high-brightness warning light and the voice loudspeaker to issue on-site alarms;

[0070] (3) The warning information is synchronously pushed to the management platform and the mobile applications of relevant responsible persons (such as APP or SMS), and is updated to the GIS map in real time.

[0071] In one embodiment, the independent power module includes a solar photovoltaic power generation sub-module and a UAV wireless charging sub-module. The solar photovoltaic power generation sub-module is used to convert solar energy into electrical energy for the monitoring module and the warning broadcast module. The UAV wireless charging sub-module provides endurance support for the UAV through electromagnetic induction.

[0072] Furthermore, the independent power module further includes an intelligent power management sub-module, which is used to monitor the power requirements of each device in the module in real time and dynamically allocate energy.

[0073] Furthermore, the intelligent power management sub-module is provided with an abnormal power warning sub-module.

[0074] In specific implementation, in order to ensure the normal operation of the system in remote areas or areas with insufficient power grid coverage, the independent power module combines solar photovoltaic power generation and UAV wireless charging technologies to build a set of efficient and sustainable energy supply solutions. The specific contents include the following:

[0075] 3.1 Core hardware devices

[0076] 3.1.1 Solar photovoltaic power generation sub-module

[0077] This module collects solar energy through high-efficiency photovoltaic components, converts it into electrical energy and stores it in a high-performance lithium battery. The electrical energy generated during the day can not only meet the real-time operation requirements, but also provide continuous energy support at night and under bad weather conditions.

[0078] 3.1.2 Intelligent power management sub-module

[0079] The intelligent power management sub-module monitors the power requirements of each device in real time and dynamically allocates energy, giving priority to ensuring the continuous operation of key monitoring devices. This module also has the function of abnormal power warning.

[0080] 3.1.3 UAV wireless charging sub-module

[0081] The base station is equipped with a wireless energy transmission device, which can provide endurance support for the UAV through electromagnetic induction to ensure that the UAV can perform long-term inspection tasks.

[0082] 3.2 Working process of the independent power module

[0083] (1) The solar photovoltaic components collect solar energy and convert it into electrical energy to provide the basic power required by the monitoring equipment;

[0084] (2) When the power of the UAV is lower than the set threshold, it returns to the base station for wireless charging;

[0085] (3) The intelligent power management sub-module dynamically optimizes power distribution according to the power consumption status of the monitoring device and the drone.

[0086] In one embodiment, the system further includes a data report generation module, which is used to generate a report according to the monitoring data of the monitoring module and the manual inspection records.

[0087] Specifically, the data report generation module automatically integrates sensor data, drone inspection results and manual inspection records to generate a standardized report. The report includes text descriptions, images and statistical data, and supports users to export it in PDF or Excel format.

[0088] In one embodiment, the system further includes a data visualization module, which is used to generate a heat map of geological disaster distribution based on the monitoring data of the monitoring module and the GIS technology, and display the disaster density and risk characteristics of each region.

[0089] Through the efficient cooperation of multiple modules, this application can cover the whole process from risk identification to disaster emergency management and then to post-flood summary, providing comprehensive technical support for the safety management of ordinary roads.

[0090] The embodiment provided by the present invention constructs an intelligent risk identification and emergency response system composed of three major modules: a monitoring module, an independent power supply module and an early warning broadcast module through the organic combination of software and hardware. An integrated multi-monitoring technology, a global linkage monitoring system applicable to the risk identification of high-risk roads at night, realizes all-weather and high-precision risk monitoring through the collaborative application of devices such as drones, lidar, millimeter wave radar and infrared cameras, and combines an independent power supply system and data transmission technology to provide efficient and reliable disaster early warning services for mountain roads.

[0091] This system can monitor seamlessly day and night, improve the detection and early warning efficiency of disasters such as landslides and collapses; reduce the cost of manual inspections, improve the coverage and real-time performance of monitoring; effectively reduce the false alarm rate through multi-sensor data fusion; adapt to a variety of extreme environments to ensure the stable operation of the system; and has the characteristics of low cost and high reliability.

[0092] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the technical field of this application within the technical scope disclosed by this application should be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A general highway risk identification and early warning system based on global linkage, characterized in that: The system includes a monitoring module, an independent power supply module and an early warning broadcast module. The monitoring module is used to monitor and identify geological disaster risks based on multiple sensors and generate early warning information. The early warning broadcast module is used to transmit the geological disaster risks identified by the monitoring module to road users or management departments through sound and light warnings and wireless communication methods according to the early warning information. The independent power supply module is used to provide energy support for the monitoring module and the early warning broadcast module, so that the equipment can operate normally in remote mountainous areas and environments with insufficient power grid coverage.

2. The general highway risk identification and early warning system based on global linkage according to claim 1 is characterized in that: The monitoring module includes millimeter-wave radar, lidar, infrared camera, sensor network and drone; the drone automatically inspects preset high-risk areas along preset routes, collects image and video data in real time and uploads them to the control center. When the risk level of a certain area increases, the drone automatically adjusts the route and issues an alarm.

3. The general highway risk identification and early warning system based on global linkage according to claim 2 is characterized in that: The sensor network includes temperature sensors, rain gauges, surface displacement sensors, stratified settlement meters, earth pressure cells and crack meters.

4. The general highway risk identification and early warning system based on global linkage according to claim 1 is characterized in that: The system also includes a data report generation module, which is used to generate a report based on the monitoring data of the monitoring module and manual inspection records.

5. The general highway risk identification and early warning system based on global linkage according to claim 4 is characterized in that: The early warning broadcast module includes an alarm device and a communication submodule. The alarm device is used to issue an audible and visual alarm according to the early warning information. The communication submodule is used to upload and distribute the monitoring data, the early warning information and the report in real time.

6. The general highway risk identification and early warning system based on global linkage according to claim 5 is characterized in that: The warning equipment includes a drone loudspeaker, a drone warning light and a fixed LED warning light.

7. The general highway risk identification and early warning system based on global linkage according to claim 2 is characterized in that: The independent power supply module includes a solar photovoltaic sub-module and a UAV wireless charging sub-module. The solar photovoltaic sub-module is used to convert solar energy into electrical energy for use by the monitoring module and the early warning broadcast module. The UAV wireless charging sub-module provides endurance support for the UAV through electromagnetic induction.

8. The general highway risk identification and early warning system based on global linkage according to claim 7 is characterized in that: The independent power supply module also includes an intelligent power supply management submodule, which is used to monitor the power demand of each device in the module in real time and dynamically allocate energy.

9. The general highway risk identification and early warning system based on global linkage according to claim 8 is characterized in that: The intelligent power management submodule is provided with an abnormal power warning submodule.

10. The general highway risk identification and early warning system based on global linkage according to claim 1 is characterized in that: The system also includes a data visualization module, which is used to generate a thermal map of geological disaster distribution based on the monitoring data of the monitoring module and based on GIS technology to display the disaster density and risk characteristics of each area.

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