Road condition AI intelligent management system

Abstract

The invention relates to an AI intelligent management system for road conditions, and the system comprises an intelligent sensing module which monitors pedestrians, non-motor vehicles, and motor vehicles; the acousto-optic early warning module is used for receiving signals of the intelligent sensing module and performing corresponding early warning; the AI persuasion module is used for monitoring and prompting illegal behaviors; a data analysis and optimization module; the control module is respectively connected with the intelligent sensing module and the AI persuasion module; a remote monitoring and intelligent response module; connecting the intelligent sensing module; wherein the data analysis and optimization module respectively receives a signal of the intelligent sensing module and a signal of the AI persuasion module and generates a report; and the remote monitoring and intelligent response module calls the monitoring data of the intelligent sensing module. The problems that in an existing scheme, passive traffic warning equipment does not have the capacity of actively recognizing and predicting potential dangers, and the efficiency of the passive traffic warning equipment is greatly reduced under the condition that the sight is poor are solved.

Description

Technical Field

[0001] The present invention relates to the field of road traffic safety technology, and in particular to an AI intelligent management system for road conditions. Background Art

[0002] Road sections passing through villages and towns and level crossings have become high-incidence areas for traffic accidents due to insufficient road infrastructure and relatively low safety awareness of traffic participants.

[0003] Traditional passive traffic warning devices, such as traffic lights and signs, can provide basic traffic guidance, but they do not have the ability to actively identify and predict potential dangers, and cannot adapt to rapidly changing traffic conditions, especially at night, in bad weather conditions or in poor visibility, their effectiveness is greatly reduced.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide an AI intelligent management system for road conditions to solve the problem that the passive traffic warning equipment in the prior art does not have the ability to actively identify and predict potential dangers, and its effectiveness is greatly reduced under poor visibility.

[0006] To achieve the above object, the technical solution of the present invention is as follows:

[0007] An AI intelligent management system for road conditions;

[0008] It includes: an intelligent perception module, which monitors pedestrians, non-motor vehicles and motor vehicles; an audio-visual warning module, which receives signals from the intelligent perception module and issues corresponding warnings; an AI persuasion module, which monitors illegal behaviors and issues prompts; a data analysis and optimization module, which is respectively connected to the intelligent perception module and the AI ​​persuasion module; a remote monitoring and intelligent response module, which is connected to the intelligent perception module;

[0009] Among them, the data analysis and optimization module respectively receives the signal of the intelligent perception module and the signal of the AI ​​persuasion module and generates a report; the remote monitoring and intelligent response module retrieves the monitoring data of the intelligent perception module.

[0010] A further technical solution is that the intelligent perception module includes multiple groups of sensors to monitor pedestrian, non-motor vehicle and motor vehicle data, and the monitoring data of each group of sensors are integrated and verified.

[0011] A further technical solution is that the sound and light warning module includes multiple groups of prompting devices; the sound and light warning module receives the monitoring data of the intelligent sensing module and activates the corresponding prompting device.

[0012] A further technical solution is that the AI ​​persuasion module includes a prompting device; the AI ​​persuasion module identifies the monitoring data of the intelligent perception module and activates the prompting device.

[0013] A further technical solution is that the AI ​​persuasion module also includes a database; after the AI ​​persuasion module identifies the monitoring data of the intelligent perception module, the identification information is filed and stored in the database.

[0014] A further technical solution is that the data analysis and optimization module includes: a data analysis engine and a decision support system; the data analysis engine analyzes the monitoring data of the intelligent perception module and the identification information of the AI ​​persuasion module, and generates a report; the decision support system analyzes the report and generates recommendation information.

[0015] A further technical solution is that the remote monitoring and intelligent response module includes a remote monitoring platform and an intelligent response device; the remote monitoring platform retrieves the monitoring data of the intelligent perception module; and the intelligent response device sends response information to an external device.

[0016] Compared with the prior art, the beneficial technical effects of the present invention are as follows: (1) By integrating the intelligent perception module and the AI ​​persuasion module, comprehensive real-time monitoring of traffic conditions is achieved, effectively warning and reducing the occurrence of traffic accidents; the intelligent persuasion and behavior regulation system enhances the safety awareness of road users and promotes the improvement of traffic order; in addition, the data analysis and optimization module not only improves the scientific nature of traffic management decisions, but also optimizes the traffic layout and alleviates the problem of urban congestion. The remote monitoring and intelligent response module ensures that resources can be quickly dispatched in emergency situations to improve emergency handling capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of an AI intelligent management system for road conditions according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the present invention clearer, the device proposed by the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. According to the following description, the advantages and features of the present invention will be clearer. It should be noted that the accompanying drawings adopt a very simplified form and use non-precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention. In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, please refer to the accompanying drawings. It should be noted that the structure, proportion, size, etc. illustrated by the accompanying drawings of this specification are only used to match the content disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no technical substantive significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effect that the present invention can produce and the purpose that can be achieved, should still fall within the scope of the technical content disclosed by the present invention.

[0019] Figure 1 A schematic diagram of an AI intelligent management system for road conditions according to an embodiment of the present invention is shown. Figure 1 As shown, the present invention discloses an AI intelligent management system for road conditions.

[0020] The AI ​​intelligent management system for road conditions includes: remote monitoring and intelligent response module, data analysis and optimization module, intelligent perception module, sound and light warning module and AI persuasion module.

[0021] Among them, the intelligent perception module monitors pedestrians, non-motor vehicles and motor vehicles. The sound and light warning module receives the signal of the intelligent perception module and issues corresponding warnings. The AI ​​persuasion module monitors illegal behaviors and issues prompts. The data analysis and optimization module are connected to the intelligent perception module and the AI ​​persuasion module respectively. The remote monitoring and intelligent response module is connected to the intelligent perception module.

[0022] The data analysis and optimization module receives the signals from the intelligent perception module and the AI ​​persuasion module and generates reports. The remote monitoring and intelligent response module retrieves the monitoring data from the intelligent perception module.

[0023] The intelligent perception module includes multiple groups of sensors, which monitor the data of pedestrians, non-motor vehicles and motor vehicles, and integrate and verify the monitoring data of each group of sensors.

[0024] For example, the sensor is a radar, camera, thermal imager or infrared detector. The sensor is used to achieve accurate monitoring of pedestrians, non-motor vehicles and motor vehicles around the clock. The monitoring data of each sensor is integrated and verified to achieve accurate identification and tracking of the behavior patterns of various traffic participants in complex traffic environments.

[0025] For example: radar is responsible for long-distance target detection, and the camera provides detailed visual information. The data of the two are fused to achieve accurate perception in complex traffic environments.

[0026] The sound and light warning module includes multiple groups of prompting devices. The sound and light warning module receives the monitoring data of the intelligent sensing module and activates the corresponding prompting device.

[0027] When the intelligent sensing module detects data, the prompt device is immediately activated. Exemplarily, the prompt device includes a shouting system, a flashing light, an LED screen, an alarm or a directional sound transmitter. Multiple sets of prompt devices can be used to achieve multi-sensory stimulation warnings, reminding vehicles and pedestrians about to pass through the intersection to pay attention to safety and slow down.

[0028] The sound and light warning module adopts a multimodal warning method, customizing different warning strategies for different types of traffic participants to improve the effectiveness and pertinence of warning information.

[0029] For example, when the intelligent sensing module detects pedestrians, the prompt device is a shouting system. When the intelligent sensing module detects motor vehicles, the prompt device is an LED screen.

[0030] The AI ​​persuasion module can automatically identify traffic violations and provide real-time persuasion through the sound and light warning module, guiding drivers to comply with traffic rules and improving the safety awareness of road participants.

[0031] Exemplary illegal and irregular behaviors include traffic violations such as non-motor vehicle drivers not wearing helmets, carrying passengers, driving in the wrong direction, or setting up tents and umbrellas.

[0032] The AI ​​persuasion module is trained through deep learning models and can accurately identify and understand non-traffic violations, use appropriate language and tone to persuade, and improve the persuasion effect.

[0033] The intelligent perception module obtains monitoring data and the AI ​​persuasion module obtains identification information. The data analysis and optimization module uses AI algorithms to conduct in-depth learning and analysis of the collected monitoring data and identification information, automatically generating traffic flow reports, accident risk assessments, etc., to provide decision support for traffic management departments and optimize traffic layout and management strategies. The data analysis and optimization module can predict future traffic flow trends based on historical data, plan the timing of traffic lights in advance, reduce traffic congestion, and improve road traffic efficiency.

[0034] The remote monitoring and intelligent response module supports traffic management departments to view the monitoring data of the intelligent perception module in real time through the network, so as to understand the traffic conditions at each intersection. In case of emergency, the remote monitoring and intelligent response module automatically triggers the emergency response mechanism, quickly deploys resources, and implements emergency rescue or traffic diversion. The remote monitoring and intelligent response module has an intelligent dispatching function, which can automatically adjust the deployment of police forces according to the real-time traffic conditions, give priority to high-risk areas, and improve the speed of emergency response.

[0035] It should be noted that the AI ​​intelligent management system for road conditions of the present invention is installed at the intersection of high-grade roads such as national and provincial roads, urban expressways and main roads and low-grade roads such as local county and township roads, rural roads, factory and mine enterprise access roads, urban secondary roads, and branch roads, so that drivers and pedestrians on the two roads can see each other's travel prompts.

[0036] The following are multiple examples to illustrate the functions that can be achieved by this application:

[0037] First embodiment:

[0038] Intelligent perception and early warning function

[0039] Intelligent perception module: It uses an integrated composite sensor array, deployed at key intersections and sections, to monitor the dynamics of pedestrians, non-motor vehicles and motor vehicles around the clock. The monitoring data of each group of sensors are integrated to achieve accurate perception in complex traffic environments. The composite sensor array not only includes high-precision radars and high-definition cameras, but can also integrate thermal imagers and infrared detectors to cope with various weather conditions and light environments, ensuring high-precision monitoring around the clock. The intelligent perception module can automatically distinguish different traffic participants, such as pedestrians, bicycles, motorcycles and cars, and track their trajectories, predict the direction of movement, and accurately assess the risk of collision.

[0040] Sound and light warning module: When the intelligent sensing module detects potential danger (such as pedestrians crossing the road, vehicles driving illegally), the sound and light warning module is immediately activated. The sound and light warning module includes but is not limited to:

[0041] The voice announcement system uses clear and warning voice prompts to inform pedestrians and vehicles about to pass through the intersection to pay attention to safety.

[0042] The LED screen displays warning messages, such as: "There are pedestrians ahead, please slow down."

[0043] The flashing lights attract the driver's attention and ensure that the warning information is effectively received. The flashing lights can be designed in multiple colors, with different colors representing different types of warnings to quickly convey information.

[0044] In addition to the voice shouting system and LED screen displaying warning information, the sound and light warning module can also be equipped with an alarm with adjustable volume and frequency and an intelligent directional sound emitter during actual use to send warnings to potential conflict points and reduce noise pollution.

[0045] Second embodiment:

[0046] AI persuasion and behavioral regulation functions

[0047] The AI ​​persuasion module includes a prompting device. The AI ​​persuasion module identifies the monitoring data of the intelligent perception module and activates the prompting device.

[0048] The AI ​​persuasion module automatically identifies illegal behaviors of non-motor vehicle drivers, such as not wearing a helmet, overloading, or driving in the wrong direction. Once a violation is identified, the AI ​​persuasion module immediately conducts real-time persuasion through the voice shouting system of the sound and light warning module to improve the driver's safety awareness. The high-definition camera of the intelligent perception module can accurately identify facial features through image recognition technology, and combined with license plate recognition, it can confirm the identity of the violator.

[0049] At the same time, the AI ​​persuasion module can use historical data to build user behavior profiles and take stricter persuasion measures against repeat offenders. In addition, through speech synthesis technology, the voice shouting system of the sound and light warning module can simulate voices with different tones, making persuasion more humane.

[0050] The AI ​​persuasion module also includes a database. After the AI ​​persuasion module identifies the monitoring data of the intelligent perception module, it files and stores the identification information in the database.

[0051] The database records information such as violation type, time, and location for subsequent data analysis and behavioral pattern research.

[0052] Third embodiment:

[0053] Data analysis and optimization functions

[0054] The data analysis and optimization module includes: data analysis engine and decision support system; the data analysis engine analyzes the monitoring data of the intelligent perception module and the identification information of the AI ​​persuasion module, and generates a report; the decision support system analyzes the report and generates recommendation information.

[0055] The data analysis engine collects monitoring data from the intelligent perception module and identification information from the AI ​​persuasion module, and performs deep learning and analysis through AI algorithms. The data analysis and optimization module can automatically generate traffic flow reports, accident risk assessments, congestion predictions, etc., providing scientific decision-making basis for traffic management departments.

[0056] In addition to generating regular reports, the data analysis engine can also identify changing trends in traffic patterns, such as holiday peaks and school commute times, providing long-term traffic planning references for city planners. In addition, the data analysis and optimization module makes specific improvement suggestions based on the analysis results to help city planners optimize the transportation system. Suggestions may include: setting up bus lanes and bicycle lanes on roads with heavy traffic to improve road utilization. Reducing congestion at intersections by adjusting traffic light timing and adding left-turn lanes. Building new roads, bridges and other infrastructure in traffic bottleneck areas. Introducing an intelligent traffic management system to optimize traffic flow through real-time monitoring and dynamic scheduling.

[0057] Based on the reports generated by the data analysis engine, the decision support system can make recommendations for optimizing traffic layout and management strategies, such as adjusting signal timing, adding traffic signs, optimizing bus routes, etc., thereby improving overall traffic efficiency and safety. Based on AI, the decision support system can simulate different traffic management plans, evaluate their impact on traffic flow, accident rate and air quality, and help decision makers make scientific choices. Based on the reports generated by the data analysis engine, the decision support system can also predict the impact of special events (such as large-scale events, road construction) on traffic, and give corresponding traffic diversion measures in advance.

[0058] Fourth embodiment:

[0059] Remote monitoring and intelligent response functions

[0060] The remote monitoring and intelligent response module includes a remote monitoring platform and an intelligent response device. The remote monitoring platform retrieves the monitoring data of the intelligent perception module. The intelligent response device sends response information to external devices.

[0061] Traffic management departments can use the remote monitoring platform to retrieve the monitoring data of the intelligent perception module and view the traffic conditions at each intersection in real time, including video streams, traffic data statistics, etc., to achieve remote monitoring.

[0062] Intelligent response device In case of emergency, such as traffic accidents and emergencies, the traffic management department obtains information about the emergency through the remote monitoring platform. After determining that an emergency has occurred, the traffic management department triggers the intelligent response device.

[0063] The functions that the intelligent response device can achieve include but are not limited to:

[0064] The AI ​​smart management system notifies the nearest emergency rescue team by connecting to the outbound alarm and provides real-time traffic information based on the above data analysis. The decision support system can make recommendations for optimizing traffic layout and management strategies.

[0065] The AI ​​smart management system connects to the nearby traffic signal system, adjusts the timing of traffic lights based on road conditions analyzed by data, and opens a green channel for rescue vehicles.

[0066] The AI ​​smart management system broadcasts emergency information through an external loudspeaker to notify nearby pedestrians and vehicles to avoid the accident area.

[0067] In the event of an emergency, the system can automatically coordinate the response actions of multiple departments, such as police, fire and medical emergency, to ensure fast and effective rescue. The system can also use social media and mobile phone applications to issue instant notifications to the public, reminding them to avoid affected areas and avoid unnecessary congestion.

[0068] In summary, the AI ​​intelligent management system for road conditions provided by the present invention not only improves road safety, but also optimizes traffic flow and reduces traffic congestion.

[0069] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An AI intelligent management system for road conditions, characterized in that: include: Intelligent sensing module to monitor pedestrians, non-motor vehicles and motor vehicles; An acoustic and visual warning module receives the signal from the intelligent sensing module and issues a corresponding warning; AI persuasion module, monitoring illegal behaviors and providing prompts; Data analysis and optimization module; respectively connected to the intelligent perception module and the AI ​​persuasion module; Remote monitoring and intelligent response module; connected to the intelligent sensing module; Among them, the data analysis and optimization module respectively receives the signal of the intelligent perception module and the signal of the AI ​​persuasion module and generates a report; the remote monitoring and intelligent response module retrieves the monitoring data of the intelligent perception module.

2. The AI ​​intelligent management system for road conditions as claimed in claim 1, characterized in that: The intelligent perception module includes multiple groups of sensors to monitor pedestrian, non-motor vehicle and motor vehicle data, and integrates and verifies the monitoring data of each group of sensors.

3. The AI ​​intelligent management system for road conditions as claimed in claim 1, characterized in that: The sound and light warning module includes multiple groups of prompting devices; the sound and light warning module receives the monitoring data of the intelligent sensing module and starts the corresponding prompting devices.

4. The AI ​​intelligent management system for road conditions as claimed in claim 1, characterized in that: The AI ​​persuasion module includes a prompting device; the AI ​​persuasion module identifies the monitoring data of the intelligent perception module and activates the prompting device.

5. The AI ​​intelligent management system for road conditions as claimed in claim 4, characterized in that: The AI ​​persuasion module also includes a database; after the AI ​​persuasion module identifies the monitoring data of the intelligent perception module, the identification information is filed and stored in the database.

6. The AI ​​intelligent management system for road conditions as claimed in claim 1, characterized in that: The data analysis and optimization module includes: a data analysis engine and a decision support system; the data analysis engine analyzes the monitoring data of the intelligent perception module and the identification information of the AI ​​persuasion module, and generates a report; the decision support system analyzes the report and generates recommendation information.

7. The AI ​​intelligent management system for road conditions as claimed in claim 1, characterized in that: The remote monitoring and intelligent response module includes a remote monitoring platform and an intelligent response device; the remote monitoring platform retrieves the monitoring data of the intelligent perception module; and the intelligent response device sends response information to an external device.

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