Tunnel safety guiding method and system based on AI intelligent gateway

Abstract

The invention relates to the technical field of tunnel traffic safety, and discloses a tunnel safety guiding method and system based on an AI intelligent gateway. The tunnel safety guiding method is applied to an AI traffic intelligent gateway, and specifically comprises the following steps that S101, passing data information of a current tunnel is obtained, and the passing data information of the current tunnel carries passing information in the tunnel, passing information outside the tunnel and state information of passing vehicles; and S102, obtaining a content text of the state information of the passing vehicle, and inputting the state information of the passing vehicle into a preset text recognition model. According to the method, the traffic data information of the current tunnel is acquired, the mathematical model is established, and the driving speed and the vehicle distance of the vehicle are pre-judged, so that when a collision accident, a rear-end collision accident and the like possibly occur to cause congestion or secondary accidents in the tunnel, the sound-light alarm signal is sent to a driver in advance, and safe traveling of the vehicle is guaranteed; and stable and safe operation of the highway network is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel traffic safety. Specifically, it relates to a tunnel safety guidance method and system based on an AI intelligent gateway. Background Art

[0003] A tunnel is a traffic structure buried in the surface layer. At the tunnel entrance, due to the change of the external environment, the driver's light-sensitive system cannot be adjusted in a very short time under the action of human perception, so that the situation near the entrance cannot be recognized, and even obstacles are difficult to find. This phenomenon is called the "black hole" effect. Its harm will cause a visual contrast for the driver and is likely to cause traffic accidents. Although there are lighting enhancement sections at both the tunnel entrance and exit, reducing the probability of the occurrence of the black hole effect, in the case of strong sunlight, the light contrast is too large and the effect is not ideal. This will increase the risk of collision accidents, rear-end collisions, etc. in the highway tunnel, resulting in traffic safety problems such as traffic jams or secondary accidents in the tunnel. Summary of the Invention

[0004] The purpose of the present invention is to provide a tunnel safety guidance method and system based on an AI intelligent gateway, which can predict the driving speed and vehicle spacing of vehicles. When a collision accident, rear-end accident, etc. that may cause traffic jams or secondary accidents in the tunnel is likely to occur, an audible and visual alarm signal is sent to the driver in advance to ensure the safe travel of vehicles and the smooth and safe operation of the highway road network, aiming to solve the problems in the prior art.

[0005] The present invention is implemented as follows. The tunnel safety guidance method based on an AI intelligent gateway is applied to an AI traffic intelligent gateway and specifically includes the following steps:

[0006] S101: Obtain the traffic data information of the current tunnel. The traffic data information of the current tunnel carries the traffic information inside the tunnel, the traffic information outside the tunnel, and the status information of the passing vehicles.

[0007] S102: Obtain the content text of the status information of the passing vehicles, input the status information of the passing vehicles into a preset text recognition model, obtain the recognition result output by the text recognition model based on the status information of the passing vehicles, and obtain the status characteristics of the status information of the passing vehicles from the recognition result.

[0008] S103: Identify the status characteristics of the vehicle, and determine whether the status characteristics of the current vehicle are within the preset status characteristic threshold. If it is determined that the status characteristics of the current vehicle are within the preset status characteristic threshold, a status characteristic maintenance reminder is performed, and a signal is sent to the warning and guidance terminal in the tunnel. After receiving the signal, the warning and guidance terminal in the tunnel performs vehicle trajectory tracking.

[0009] S104: While the warning and guiding terminal in the tunnel tracks the vehicle trajectory, it judges the pre-travel path of the current vehicle, judges the status data of the pre-travel path of the current vehicle, and completes the corresponding trajectory tracking reminder.

[0010] S105: After the current vehicle completes passing through the tunnel, it collects the driving data of the current vehicle, and completes the real-time upload of the collected data, determines the passing status information of the current tunnel. If the passing status information of the current tunnel is abnormal, it sends a signal to the operation monitoring center and quickly completes the execution response of the operation monitoring center.

[0011] Further, in S101, obtaining the passing data information of the current tunnel includes:

[0012] Receiving a connection request sent by the operation monitoring center through a preset network, where the connection request is used to request to establish a connection with the AI traffic intelligent gateway;

[0013] Detecting whether the current account of the operation monitoring center is a preset target communication management sub-account;

[0014] If the current account of the operation monitoring center is a preset target communication management sub-account, it connects to the operation monitoring center according to the connection request. After the connection is completed, it obtains the passing data information of the current tunnel.

[0015] Further, the preset network includes one or a combination of 3G network, 4G network, 5G network, WIFI network, and wired network.

[0016] Further, in S102, obtaining the content text of the status information of the passing vehicle and inputting the status information of the passing vehicle into a preset text recognition model includes:

[0017] Obtaining multiple text recognition models and sorting the multiple text recognition models according to the status feature recognition information of the vehicle;

[0018] Obtaining the content text of the status information of the passing vehicle and inputting the status information of the passing vehicle into the text recognition model ranked first.

[0019] Further, in S103, if it is judged that the status feature of the current vehicle is within the preset status feature threshold, a status feature maintenance reminder is performed, including:

[0020] The judged status features of the current vehicle include the speed, position, and front vehicle distance of the current vehicle;

[0021] If the status feature of the current vehicle is within the preset status feature threshold, a pre-reminder operation is performed;

[0022] If the status feature of the current vehicle is not within the preset status feature threshold, a warning prompt is given to prompt the current vehicle to adjust the status feature of the current vehicle.

[0023] Further, in S104, the pre-travel path of the current vehicle is judged, the status data of the pre-travel path of the current vehicle is judged, and the corresponding trajectory tracking reminder is completed, including:

[0024] Obtain the passing information of the current vehicle in the tunnel, and obtain the vehicle status information in front of the current vehicle in the tunnel. If there is no vehicle within 200 meters ahead, send the corresponding reminder information to the current vehicle;

[0025] If there is a vehicle ahead, send the corresponding warning information to the current vehicle to prompt the current vehicle of the safe distance.

[0026] Further, the corresponding reminder information and the corresponding warning information are respectively lights and corresponding text information, and different colors are attached to the corresponding text information to facilitate the driver of the current vehicle to quickly identify the information in the tunnel.

[0027] Further, in S105, the driving data of the current vehicle is collected, and the collected data is uploaded in real time to determine the passing status information of the current tunnel, including:

[0028] The AI traffic intelligent gateway collects the driving data of the current vehicle, judges whether the passing information of the current vehicle meets the preset safety threshold. If the vehicles in the tunnel are running normally, the collected data is uploaded in real time;

[0029] If it is found that the speed of a vehicle in the tunnel is lower than 30 km / h or the vehicle is stopped, send a message to the vehicle waiting to enter the tunnel outside the tunnel to remind it, and at the same time mark the collected data. After the marking is completed, upload it in real time;

[0030] If a vehicle breakdown, collision accident or vehicle congestion is found in the tunnel, start the priority program to execute the emergency plan, report the traffic event to the operation monitoring center, and quickly complete the execution response of the operation monitoring center.

[0031] Further, the AI traffic intelligent gateway collects the driving data of the current vehicle, and judges whether the passing information of the current vehicle meets the preset safety threshold, including:

[0032] The traffic perception data information such as the vehicle speed, traffic flow, and driving distance of the driving vehicles collected is transmitted to the AI traffic intelligent gateway, and at the same time, the traffic perception data is also transmitted to the AI traffic intelligent gateway;

[0033] After analyzing and processing the data inside and outside the convergence tunnel, through the established mathematical model, it is processed with the preset algorithm of the system to give early warnings in advance for possible accidents that may cause congestion or secondary accidents inside the tunnel;

[0034] Send out reminder sound and light warning instructions, and upload them to the operation monitoring center of the cloud platform, and wait for the execution response of the operation monitoring center.

[0035] Compared with the prior art, the tunnel safety guidance method and system based on the AI intelligent gateway provided by the present invention have the following beneficial effects:

[0036] 1. By obtaining the traffic data information of the current tunnel, establishing a mathematical model, predicting the driving speed and the distance between vehicles, when possible collision accidents, rear-end accidents, etc. cause congestion or secondary accidents inside the tunnel, a sound and light alarm signal is sent to the driver in advance to ensure the safe travel of vehicles and ensure the smooth and safe operation of the highway road network;

[0037] 2. The AI traffic intelligent gateway can quickly determine a solution according to the internal situation of the tunnel and guide the personnel to evacuate to a reasonable position. When there is an evacuation requirement inside the tunnel, the management personnel start the emergency evacuation mode through the cloud platform. The management personnel can formulate the personnel evacuation path. After confirmation, the management personnel issue an evacuation instruction. After receiving the instruction, the AI traffic intelligent gateway lights up the evacuation indication as required to prompt the personnel evacuation direction. At the same time, when it is found that there are vehicle failures, collision accidents, vehicle congestion, etc. inside the tunnel, the system can start the priority program, execute the emergency plan within 1-2 seconds, and report the occurrence time and location of the traffic event to the cloud platform to notify the administrator for further confirmation and processing.

[0038] The tunnel safety guidance system based on the AI intelligent gateway executes the above-mentioned tunnel safety guidance method, and the tunnel safety guidance system includes:

[0039] An acquisition module for acquiring the traffic data information of the current tunnel and data collection;

[0040] An identification module for obtaining the content text of the status information of the passing vehicles and inputting the status information of the passing vehicles into a preset text recognition model to complete data recognition;

[0041] A judgment module for identifying the status characteristics of the vehicle and judging whether the status characteristics of the current vehicle are within the preset status characteristic threshold;

[0042] A prediction module for judging the pre-travel path of the current vehicle while tracking the vehicle trajectory and judging the status data of the pre-travel path of the current vehicle;

[0043] A response module, which is used to determine the traffic status information of the current tunnel. If the traffic status information of the current tunnel is abnormal, it sends a signal to the operation monitoring center and quickly completes the execution response of the operation monitoring center.

[0044] The operation monitoring center is used to collect data on vehicles passing through the tunnel and control the tunnel after an accident occurs. Description of the Drawings

[0045] Figure 1 It is a flowchart showing the process of the tunnel safety guidance method based on the AI intelligent gateway proposed by the present invention.

[0046] Figure 2 It is a flowchart showing the process of obtaining the traffic data information of the current tunnel in the tunnel safety guidance method based on the AI intelligent gateway proposed by the present invention.

[0047] Figure 3 It is a flowchart showing the process of collecting the driving data of the current vehicle and uploading the collected data in real time after the current vehicle completes passing through the tunnel in the tunnel safety guidance method based on the AI intelligent gateway proposed by the present invention.

[0048] Figure 4 It is a structural schematic diagram of the tunnel safety guidance system based on the AI intelligent gateway proposed by the present invention. Detailed Embodiment

[0049] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] The implementation of the present invention will be described in detail below with reference to specific embodiments.

[0051] In the drawings of this embodiment, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. indicating the orientation or position relationship, it is based on the orientation or position relationship shown in the drawings. This is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only for illustrative purposes and cannot be understood as a limitation of the present invention. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0052] In order to alleviate the impact caused by the "black hole" effect, avoid the occurrence of serious traffic accidents, and at the same time provide a good driving sight guiding effect in the tunnel, a mathematical model is established to intelligently predict the driving speed and vehicle spacing of vehicles. When a collision accident, rear-end accident, etc. may occur, causing congestion or secondary accidents in the tunnel, a sound and light alarm signal is sent to the driver in advance within 1-2 seconds to ensure the safe travel of vehicles and the stable and safe operation of the highway network. The specific technical solution is as follows:

[0053] Referring to Figures 1-3 As shown, the tunnel safety guiding method based on the AI intelligent gateway is applied to the AI traffic intelligent gateway, and specifically includes the following steps:

[0054] S101: Obtain the traffic data information of the current tunnel. The traffic data information of the current tunnel carries the traffic information inside the tunnel, the traffic information outside the tunnel, and the status information of the passing vehicles;

[0055] Among them, obtaining the traffic data information of the current tunnel includes:

[0056] Receive the connection request sent by the operation monitoring center through the preset network. The connection request is used to request to establish a connection with the AI traffic intelligent gateway;

[0057] Detect whether the current account of the operation monitoring center is the preset target communication management sub-account;

[0058] If the current account of the operation monitoring center is the preset target communication management sub-account, connect to the operation monitoring center according to the connection request. After the connection is completed, obtain the traffic data information of the current tunnel;

[0059] S102: Obtain the content text of the status information of the passing vehicle, input the status information of the passing vehicle into the preset text recognition model, obtain the recognition result output by the text recognition model based on the status information of the passing vehicle, and obtain the status characteristics of the status information of the passing vehicle in the recognition result;

[0060] In this embodiment, obtaining the content text of the status information of the passing vehicle and inputting the status information of the passing vehicle into the preset text recognition model includes:

[0061] Obtain multiple text recognition models, and sort the multiple text recognition models according to the status characteristic recognition information of the vehicle;

[0062] Obtain the content text of the status information of the passing vehicle, and input the status information of the passing vehicle into the text recognition model ranked first;

[0063] S103: Identify the status characteristics of the vehicle, and determine whether the status characteristics of the current vehicle are within the preset status characteristic thresholds. If it is determined that the status characteristics of the current vehicle are within the preset status characteristic thresholds, a status characteristic maintenance reminder is given, and a signal is sent to the warning and guiding terminal in the tunnel. After receiving the signal, the warning and guiding terminal in the tunnel performs vehicle trajectory tracking;

[0064] Among them, if it is determined that the status characteristics of the current vehicle are within the preset status characteristic thresholds, giving a status characteristic maintenance reminder includes:

[0065] The determined status characteristics of the current vehicle include the speed, position, and front vehicle distance of the current vehicle;

[0066] If the status characteristics of the current vehicle are within the preset status characteristic thresholds, a pre-reminder operation is performed;

[0067] If the status characteristics of the current vehicle are not within the preset status characteristic thresholds, a warning prompt is given to prompt the current vehicle to adjust the status characteristics of the current vehicle;

[0068] S104: While the warning and guiding terminal in the tunnel performs vehicle trajectory tracking, it judges the pre-travel path of the current vehicle, judges the status data of the pre-travel path of the current vehicle, and completes the corresponding trajectory tracking reminder;

[0069] Among them, judging the pre-travel path of the current vehicle, judging the status data of the pre-travel path of the current vehicle, and completing the corresponding trajectory tracking reminder includes:

[0070] Obtain the passing information of the current vehicle in the tunnel, and obtain the vehicle status information in front of the current vehicle in the tunnel. If there is no vehicle within 200 meters ahead, send the corresponding reminder information to the current vehicle;

[0071] If there is a vehicle ahead, send the corresponding warning information to the current vehicle to prompt the current vehicle of the safe distance;

[0072] S105: After the current vehicle completes passing through the tunnel, collect the driving data of the current vehicle, and complete the real-time upload of the collected data, determine the passing status information of the current tunnel. If the passing status information of the current tunnel is abnormal, send a signal to the operation monitoring center and quickly complete the execution response of the operation monitoring center;

[0073] Among them, collecting the driving data of the current vehicle and completing the real-time upload of the collected data to determine the passing status information of the current tunnel includes:

[0074] The AI traffic intelligent gateway collects the driving data of the current vehicle, and judges whether the passing information of the current vehicle meets the preset safety thresholds. If the vehicles in the tunnel are operating normally, the collected data is completed and uploaded in real time;

[0075] If it is detected that the speed of a vehicle in the tunnel is lower than 30 km / h or the vehicle has stopped, send a message to the vehicles waiting to enter the tunnel outside the tunnel as a reminder, and at the same time mark the collected data. After the marking is completed, upload it in real time.

[0076] If a vehicle breakdown, collision accident or vehicle congestion is detected in the tunnel, start the priority program to execute the emergency plan, report the traffic incident to the operation monitoring center, and quickly complete the execution response of the operation monitoring center. By obtaining the traffic data information of the current tunnel, establish a mathematical model to predict the driving speed and vehicle spacing of the vehicle. When a collision accident, rear-end accident, etc. may occur, causing congestion or secondary accidents in the tunnel, send an audible and visual alarm signal to the driver in advance to ensure the safe travel of the vehicle and the stable and safe operation of the highway network.

[0077] In this embodiment, the preset network includes one or a combination of 3G network, 4G network, 5G network, WIFI network, and wired network.

[0078] In this embodiment, the corresponding reminder information and the corresponding warning information are respectively lights and corresponding text information, and different colors are attached to the corresponding text information to facilitate the driver of the current vehicle to quickly identify the information in the tunnel. Specifically, they are as follows:

[0079] (1) At the front end of the tunnel entrance and inside the tunnel, through the sensing signals of 3-5 sensors, after AI intelligent processing, the speed and position of the vehicle are judged within a very short time. If the vehicle is driving normally and not speeding, and the distance to the vehicle in front is greater than 200 meters, the warning display terminal displays green text, "Pay attention to driving safety. Lane change is prohibited in the tunnel"; the warning and guiding terminal in the tunnel tracks the vehicle trajectory. If there is no vehicle within 200 meters ahead, the warning and guiding terminal instructs the yellow guiding lights to flash synchronously; if there is a vehicle ahead, the warning and guiding terminal moves and tracks the flashing red light according to the vehicle position to prompt the safe distance between the front and rear vehicles and prevent rear-end collisions. The number of trailing groups can be set through the upper platform software to adapt to different road conditions.

[0080] (2) When it is detected that a vehicle is speeding outside the tunnel, but the distance to the vehicle in front is greater than 200 meters, the warning display terminal flashes yellow text, "You are speeding. Please slow down."

[0081] (3) When it is detected that a vehicle is speeding and the distance to the vehicle in front is less than 20 meters, the warning display terminal flashes red text, "Speeding, vehicle spacing less than 20 meters, please pay attention, dangerous!" At the same time, start the voice broadcast terminal to play a voice prompt. Different display terminals will display different distances to the vehicle in front through intelligent analysis.

[0082] (4) When the trajectory data acquisition device installed in the tunnel detects slow traffic (speed lower than 30 km / h) or a traffic event of vehicle stopping through the obtained traffic perception data, the warning display terminal outside the tunnel will flash the red text "There are slow-moving vehicles within 30 meters of the tunnel entrance. Danger. Please slow down", and the voice broadcast terminal will play a voice prompt to give an active warning to prevent rear-end collisions.

[0083] (5) When the traffic perception data detects situations such as vehicle breakdowns, collisions, or traffic jams in the tunnel, the AI intelligent gateway outside the tunnel will start the priority program, execute the emergency plan within 1 - 2 seconds, and at the same time report the occurrence time and location of the traffic event to the cloud platform to notify the administrator for further confirmation and handling; the warning display terminal will display the red text "Traffic jam and accident ahead. No entry", and the voice broadcast terminal will broadcast the prompt according to the manual or preset voice content. At the same time, the video will be linked to the accident point, the lane controller will show a red cross to close the lane, and the proximal and distal information boards will release traffic accident information to prevent the occurrence of serious traffic accidents such as secondary rear-end collisions.

[0084] (6) When traffic accidents, fires, power outages, etc. occur in the tunnel, the AI intelligent gateway will start the evacuation guidance mode, intelligently judge the location of the accident point, the system evacuation indication signs will be turned on (equipped with built-in batteries, and the signs can still emit light during power outages), and the arrows of the evacuation indication signs will indicate different escape directions according to different positions to cooperate with the administrator to timely guide the drivers and passengers to evacuate the accident site.

[0085] (7) All the data, voice prompts, display contents, and emergency plans for unexpected events in the established intelligent mathematical models can be adjusted according to user needs.

[0086] In this embodiment, the AI traffic intelligent gateway collects the current vehicle driving data and judges whether the current vehicle's passing information meets the preset safety threshold, including:

[0087] The traffic perception data information such as the vehicle speed, traffic flow, and driving distance of the passing vehicles collected is transmitted to the AI traffic intelligent gateway, and at the same time, the obtained traffic perception data is also transmitted to the AI traffic intelligent gateway;

[0088] After aggregating and analyzing the data inside and outside the tunnel, through the established mathematical model and processed with the system preset algorithm, it gives an early warning of possible accidents that may cause traffic jams or secondary accidents in the tunnel;

[0089] It issues a reminder of the sound and light warning instruction, uploads it to the operation monitoring center of the cloud platform, and waits for the execution response of the operation monitoring center.

[0090] The AI traffic intelligent gateway of this technical solution can quickly determine a solution according to the internal situation of the tunnel and guide personnel to evacuate to a reasonable position. When there is an evacuation requirement in the tunnel, the management personnel start the emergency evacuation mode through the cloud platform. The management personnel can formulate the personnel evacuation route. After confirmation, the management personnel issue an evacuation instruction. After receiving the instruction, the AI traffic intelligent gateway lights up the evacuation indicator as required to prompt the personnel evacuation direction. At the same time, when it detects situations such as vehicle breakdowns, collisions, and vehicle congestion in the tunnel, the system can start the priority program, execute the emergency plan within 1-2 seconds, and report the occurrence time and location of the traffic incident to the cloud platform to notify the administrator for further confirmation and handling.

[0091] Refer to Figure 4 As shown, the tunnel safety guidance system based on the AI intelligent gateway executes the above-mentioned tunnel safety guidance method. The tunnel safety guidance system includes: an acquisition module for acquiring the passing data information of the current tunnel and data collection; an identification module for obtaining the content text of the status information of the passing vehicles and inputting the status information of the passing vehicles into a preset text recognition model to complete data recognition; a judgment module for identifying the status characteristics of the vehicles and judging whether the current vehicle status characteristics are within the preset status characteristic thresholds; a prediction module for judging the pre-travel path of the current vehicle while tracking the vehicle trajectory and judging the status data of the pre-travel path of the current vehicle; a response module for determining the passing status information of the current tunnel. If the passing status information of the current tunnel is abnormal, it sends a signal to the operation monitoring center and quickly completes the execution response of the operation monitoring center; the operation monitoring center is used for collecting the data of vehicles passing through the tunnel and controlling after an accident occurs in the tunnel. When the system detects situations such as vehicle breakdowns, collisions, and vehicle congestion in the tunnel, the system can start the priority program, execute the emergency plan within 1-2 seconds, and report the occurrence time and location of the traffic incident to the cloud platform to notify the administrator for further confirmation and handling. It obtains the passing data information of the current tunnel, establishes a mathematical model, predicts the driving speed and vehicle spacing of the vehicles, and when a collision accident, rear-end accident, etc. may occur, causing congestion or secondary accidents in the tunnel, it sends out an audible and visual alarm signal to the driver in advance to ensure the safe travel of the vehicles and ensure the stable and safe operation of the expressway road network;

[0092] The AI traffic intelligent gateway of this technical solution can quickly determine a solution according to the internal situation of the tunnel and guide personnel to evacuate to a reasonable position. When there is an evacuation requirement in the tunnel, the management personnel start the emergency evacuation mode through the cloud platform. The management personnel can formulate the personnel evacuation route. After confirmation, the management personnel issue an evacuation instruction. After receiving the instruction, the AI traffic intelligent gateway lights up the evacuation indicator as required to prompt the personnel evacuation direction. Specifically, it includes the following characteristics:

[0093] 1. It can sense the position, speed, and vehicle congestion situation of vehicles according to the sensing devices inside the tunnel entrance.

[0094] 2. Full - process synchronous flashing function, requiring all guiding display devices or warning guiding terminals inside the tunnel entrance in the system to flash synchronously.

[0095] 3. Voice broadcast function, when there is vehicle slow - moving, malfunction, or blockage, it broadcasts prompt voices manually or automatically.

[0096] 4. Vehicle distance guiding function, anti - rear - end collision warning mode. By detecting the running track of vehicles, it automatically changes the color of the warning guiding terminal and displays the distance between vehicles in real - time. The number of trailing groups can be set through the upper - level platform software to adapt to different road conditions. The length range of the warning light strip is adjustable, usually 60 - 100m (4 - 6 groups).

[0097] 5. When a traffic accident causes congestion, the system automatically alarms the monitoring center.

[0098] 6. Fault detection function, the center can conduct automatic or manual fault detection on each guiding display device or warning guiding terminal.

[0099] 7. The guiding device uses the arrow direction of the evacuation indication module to prompt the evacuation direction and guides the personnel to evacuate to a reasonable position. When there is an evacuation requirement in the tunnel, the management personnel start the emergency evacuation mode through the cloud platform. The management personnel can formulate the personnel evacuation path. After confirmation, the management personnel issue an evacuation instruction. After the system receives the instruction, it lights up the evacuation indication module of the guiding device as required to prompt the personnel evacuation direction. At the same time, the red warning lights of all guiding devices flash brightly and quickly; the evacuation indication direction is formulated based on the accident point, the position of the pedestrian passage, the tunnel longitudinal slope, ventilation conditions, etc.

[0100] 8. The guiding display device can display the running status of the vehicles ahead in text and report the distance of the vehicles ahead in real - time.

[0101] 9. The monitoring center can turn on and off all guiding display devices or warning guiding terminals.

[0102] 10. The center can set the map and configure the guiding display devices or warning guiding terminals.

[0103] 11. System linkage function, the center can be linked with the information board control system, speed - limit signs, and lane controllers, set emergency plans. When an emergency occurs, after manual confirmation, it transmits road - condition information to the drivers, closes the passage, improves the driving safety, and prevents secondary rear - end collision accidents. It can also be linked with monitoring cameras and automatically aim at the accident vehicle or slow - moving section.

[0104] In this embodiment, the entire operation process can be automatically controlled by a computer, and in each operation link, sensors can be set to provide signal feedback to ensure sequential execution of steps. These are all common knowledge in current automatic control and will not be elaborated one by one in this embodiment.

[0105] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A tunnel security guidance method based on an AI intelligent gateway, characterized in that, Applied to the AI traffic intelligent gateway, specifically including the following steps: S101: Obtain the traffic data information of the current tunnel, where the traffic data information of the current tunnel carries the traffic information inside the tunnel, the traffic information outside the tunnel, and the status information of the passing vehicles; S102: Obtain the content text of the status information of the passing vehicle, input the status information of the passing vehicle into a preset text recognition model, obtain the recognition result output by the text recognition model based on the status information of the passing vehicle, and obtain the status characteristics of the status information of the passing vehicle from the recognition result; S103: Identify the status characteristics of the vehicle, determine whether the status characteristics of the current vehicle are within the preset status characteristic threshold. If it is determined that the status characteristics of the current vehicle are within the preset status characteristic threshold, perform a status characteristic maintenance reminder and send a signal to the warning and guiding terminal inside the tunnel. After receiving the signal, the warning and guiding terminal inside the tunnel performs vehicle trajectory tracking; S104: While the warning and guiding terminal inside the tunnel performs vehicle trajectory tracking, judge the pre-travel path of the current vehicle, judge the status data of the pre-travel path of the current vehicle, and complete the corresponding trajectory tracking reminder; S105: After the current vehicle completes passing through the tunnel, collect the driving data of the current vehicle, complete the real-time upload of the collected data, determine the traffic status information of the current tunnel. If the traffic status information of the current tunnel is abnormal, send a signal to the operation monitoring center and quickly complete the execution response of the operation monitoring center.

2. The tunnel safety guiding method based on the AI intelligent gateway according to claim 1, wherein, In S101, obtaining the traffic data information of the current tunnel includes: Receiving a connection request sent by the operation monitoring center through a preset network, where the connection request is used to request to establish a connection with the AI traffic intelligent gateway; Detecting whether the current account of the operation monitoring center is a preset target communication management sub-account; If the current account of the operation monitoring center is a preset target communication management sub-account, connect to the operation monitoring center according to the connection request. After the connection is completed, obtain the traffic data information of the current tunnel.

3. The tunnel safety guiding method based on an AI intelligent gateway according to claim 2, characterized in that The preset network includes one or a combination of 3G network, 4G network, 5G network, WIFI network, and wired network.

4. The tunnel safety guidance method based on the AI intelligent gateway according to claim 3, characterized in that, In S102, obtaining the content text of the status information of the passing vehicle and inputting the status information of the passing vehicle into a preset text recognition model includes: Obtaining multiple text recognition models and sorting the multiple text recognition models according to the status characteristic recognition information of the vehicle; Obtaining the content text of the status information of the passing vehicle and inputting the status information of the passing vehicle into the text recognition model ranked first in the sorting.

5. The tunnel safety guidance method based on an AI intelligent gateway according to claim 4, characterized in that, In S103, if it is determined that the status characteristics of the current vehicle are within the preset status characteristic threshold, performing a status characteristic maintenance reminder includes: The determined status characteristics of the current vehicle include the speed, position, and front vehicle distance of the current vehicle; If the status characteristics of the current vehicle are within the preset status characteristic threshold, perform a pre-reminder operation; If the status feature of the current vehicle is not within the preset status feature threshold, a warning prompt is given to prompt the current vehicle to adjust its status feature.

6. The tunnel safety guidance method based on the AI intelligent gateway according to claim 5, characterized in that, In S104, the pre-travel path of the current vehicle is judged, the status data of the pre-travel path of the current vehicle is judged, and the corresponding trajectory tracking reminder is completed, including: Obtain the passing information of the current vehicle in the tunnel, and obtain the vehicle status information in front of the current vehicle in the tunnel. If there is no vehicle within 200 meters ahead, send the corresponding reminder information to the current vehicle; If there is a vehicle ahead, send the corresponding warning information to the current vehicle to prompt the current vehicle of the safe distance.

7. The tunnel safety guidance method based on the AI intelligent gateway according to claim 6, characterized in that, The corresponding reminder information and the corresponding warning information are respectively lights and corresponding text information, and different colors are attached to the corresponding text information to facilitate the driver of the current vehicle to quickly identify the information in the tunnel.

8. The tunnel safety guidance method based on the AI intelligent gateway according to claim 7, characterized in that In S105, the driving data of the current vehicle is collected, and the collected data is uploaded in real time to determine the passing status information of the current tunnel, including: The AI traffic intelligent gateway collects the driving data of the current vehicle, judges whether the passing information of the current vehicle meets the preset safety threshold. If the vehicles in the tunnel are running normally, the collected data is uploaded in real time; If it is found that the speed of a vehicle in the tunnel is lower than 30 km / h or the vehicle is parked, send a reminder message to the vehicle waiting to enter the tunnel outside the tunnel, and at the same time mark the collected data. After the marking is completed, upload it in real time; If a vehicle breakdown, collision accident or vehicle congestion is found in the tunnel, start the priority program to execute the emergency plan, report the traffic event to the operation monitoring center, and quickly complete the execution response of the operation monitoring center.

9. The tunnel safety guidance method based on the AI intelligent gateway according to claim 8, characterized in that, The AI traffic intelligent gateway collects the driving data of the current vehicle, and judges whether the passing information of the current vehicle meets the preset safety threshold, including: The traffic perception data information such as the vehicle speed, traffic flow, and driving distance of the driving vehicle collected is transmitted to the AI traffic intelligent gateway, and at the same time the traffic perception data is also transmitted to the AI traffic intelligent gateway; After aggregating and analyzing the data inside and outside the tunnel, through the established mathematical model, it is processed by the system preset algorithm to give an early warning of possible accidents causing congestion or secondary accidents in the tunnel; Send a reminder sound and light warning instruction, and upload it to the cloud platform operation monitoring center, and wait for the execution response of the operation monitoring center.

10. Tunnel safety guidance system based on AI intelligent gateway, characterized in that, Execute the tunnel safety guidance method according to any one of claims 1-9, and the tunnel safety guidance system includes: An acquisition module for acquiring the passing data information of the current tunnel and data acquisition; An identification module for obtaining the content text of the status information of the passing vehicle, and inputting the status information of the passing vehicle into a preset text recognition model to complete data recognition; A judgment module for identifying the status feature of the vehicle and judging whether the status feature of the current vehicle is within the preset status feature threshold; A prediction module for judging the pre-travel path of the current vehicle while performing vehicle trajectory tracking, and judging the status data of the pre-travel path of the current vehicle; The response module is used to determine the traffic status information of the current tunnel. If the traffic status information of the current tunnel is abnormal, it sends a signal to the operation monitoring center and quickly completes the execution response of the operation monitoring center. The operation monitoring center is used to collect data on vehicles passing through the tunnel and control the tunnel after an accident occurs.

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