Highway tunnel remote monitoring integrated management system
By designing a comprehensive management system for remote duty on highway tunnels, using monitoring and analysis modules to identify hidden dangers and reminding vehicles to change lanes through light indicators, the problems of inefficient and safety hazards of traditional tunnel duty are solved, and unmanned tunnel duty and Vehicles were evacuated safely.
Patent Information
- Application Number
- CN202411483649.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-23
- Publication Date
- 2025-02-11
- Estimated Expiration
- 2044-10-23
AI Technical Summary
The traditional tunnel duty method is inefficient, easily affected by various factors, and has safety hazards. It is easy to cause vehicle congestion and damage to life and property when safety hazards occur.
Design a comprehensive management system for remote duty on highway tunnels, including servers and tunnel monitoring equipment, and realize unmanned tunnel duty through monitoring acquisition modules, monitoring identification modules, event analysis modules, on-site emergency modules and lighting control modules. When a hidden danger event is detected, the road saturation and lane change urgency of the road section are analyzed, and the lane indicator lights are adjusted to remind the vehicle to change lanes in advance to avoid congestion.
It realizes that when the tunnel is unattended, timely identify and respond to hidden dangers, avoid vehicle congestion, and improves the efficiency and effectiveness of tunnel safety management.
Smart Images

Figure CN119049288B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent tunnel management, and in particular to a remote guard integrated management system for highway tunnels. Background Art
[0002] With the continuous expansion of the transportation network, tunnels, as important transportation facilities, play a key role in the transportation fields such as roads and railways. However, the special environment of tunnels has brought many challenges to the guard work. The traditional tunnel guarding method often relies on manual inspection. The routine work of tunnel guards includes monitoring equipment operation, tunnel traffic monitoring, system alarm processing, accident handling, tunnel safety inspection, information entry and reporting, etc.
[0003] This method is not only inefficient, but also easily affected by human factors. It requires high professional knowledge, emergency response, observation and teamwork skills of tunnel guards. Tunnel guards have long been in many places, with a wide range, high labor costs, and different skill levels of guards, which poses certain safety hazards. At the same time, after a safety hazard event occurs in the tunnel, it is very easy to cause vehicle congestion in the tunnel. When vehicles are congested near a location with safety hazards, it is easy to cause great loss of life and property. Summary of the invention
[0004] The technical problem solved by the present invention is to provide a highway tunnel remote guard integrated management system, which can perform unmanned tunnel guard and avoid vehicle congestion in the event of safety hazards.
[0005] The basic solution provided by the present invention: a highway tunnel remote guard integrated management system, including a server and a tunnel monitoring device, wherein the server includes a monitoring acquisition module, a monitoring identification module, an event analysis module, an on-site emergency module and a lighting control module;
[0006] A monitoring acquisition module is used to obtain various types of tunnel monitoring information from tunnel monitoring equipment;
[0007] A monitoring identification module, used to identify whether there is an alarm event in the tunnel according to the monitoring information, and when there is an alarm event, determine the event information, wherein the event information includes the event type and the event location;
[0008] The event analysis module is used to identify whether the alarm event reaches the preset safety index based on the event information when an alarm event occurs, and mark the alarm event as a safety hazard event when the preset safety index is not reached;
[0009] The on-site emergency module is used to set the analysis section according to the event location of the hidden danger event when there is a hidden danger event, identify the road saturation of the analysis section, and analyze the lane change urgency of the road within different distances behind according to the road saturation of the analysis section. The higher the road saturation, the longer the distance with high lane change urgency;
[0010] The lighting control module is used to adjust the lane indicator lights according to the urgency of each section of the road. The color of the light indicates the direction of lane change, and the brightness of the light indicates the urgency of lane change. The higher the urgency, the brighter the indicator light, and the lower the urgency, the lower the indicator light.
[0011] The principle and advantage of the present invention are: by acquiring and identifying various types of monitoring information in the tunnel, it is determined whether there is an alarm event in the tunnel. When there is an alarm event, the location and alarm type of the alarm event are identified, and it is determined whether the alarm event has reached the preset safety index. When the preset safety index is not reached, it is determined that there is a safety hazard at the location. When there is a safety hazard, the alarm event is upgraded to a hidden danger event. Specifically, ordinary alarm events refer to accidents such as equipment failure and vehicle congestion that will not cause major losses. Hidden danger events refer to accidents that can threaten safety such as smoke, fire, and gas leakage. Specifically, the judgment of hidden danger events is determined by presetting the event types in various types of event information. Whether there is a safety hazard by presetting various event types, such as equipment failure and vehicle congestion that will not cause major accidents are marked as alarm events without hidden dangers, and alarm events such as smoke and fire that will cause major accidents are marked as alarm events with hidden dangers. After the alarm event is detected, it is determined whether the alarm event is a hidden danger event according to whether the event type of the alarm event is marked as an alarm event with hidden dangers. When a hidden danger event occurs, the analysis section is first set according to the location of the section where the hidden danger event is located, and the urgency of lane change on the road at different distances behind is analyzed according to the vehicle saturation on the analysis section. Then, according to the urgency of lane change on each section of the road, the lane indicator light is adjusted to inform the rear vehicle to change lanes in advance. And according to the vehicle saturation on the analysis section, the distance with high urgency of lane change is adjusted, that is, the more vehicles there are on the analysis section, the longer the distance with high urgency in the rear distance is when identifying, so that the indicator light can be used to notify the vehicle in advance to change lanes.
[0012] Compared with the existing technology, when a hidden danger event occurs, the road saturation in the analysis section is identified, and the urgency of the road behind is analyzed after the hidden danger event occurs, so as to determine whether the rear vehicle needs to change lanes in advance. And according to the different urgency levels, different light indications are used to remind vehicles. After the hidden danger event occurs, when the tunnel is unmanned, corresponding adjustment measures can be made in time to avoid congestion. At the same time, the indication of tunnel lights can more easily convey the indication information to the driver during driving, compared with text or voice instructions.
[0013] Furthermore, it also includes an event reporting module, which includes a timed reporting module and an emergency reporting module;
[0014] A timed reporting module is used to report the identified alarm events of non-hidden danger events at a preset time point;
[0015] The emergency reporting module is used to report immediately when a potential danger event is identified.
[0016] For routine events, such as equipment failure, etc., it is sufficient to report them on a daily basis. For hidden danger events, they are reported immediately when the system performs on-site emergency treatment, so that the relevant departments can be informed of the abnormal situation in the tunnel in a timely manner and take corresponding measures.
[0017] Further, the on-site emergency module includes a saturation recognition module and a distance setting module;
[0018] The saturation recognition module is used to obtain the video image of the analyzed road section, identify the travel time in the analyzed road section and the number of vehicles passing through the travel time based on the video image, and calculate the traffic flow of the analyzed road section, where traffic flow = number of vehicles / travel time;
[0019] According to the preset total road capacity and the road capacity of each lane, calculate the road capacity of the analyzed section after excluding the lane where the hidden danger event is located:
[0020]
[0021]
[0022] Calculate the road saturation based on the traffic volume in the analyzed section and the road capacity of the analyzed section after excluding the lane where the hidden danger event is located. Road saturation = traffic volume / road capacity;
[0023] The distance setting module is used to set the distance of the sub-interval with high urgency according to the road saturation of the analyzed road section. The higher the road saturation, the longer the distance of the sub-interval with high urgency. The distance of the sub-interval with medium urgency and the distance of the sub-interval with low urgency are set according to the distance of the sub-interval with high urgency.
[0024] First, the number of vehicles and travel time in the analysis section are identified through video images, and the road saturation is calculated. The road saturation can be used to reflect the congestion situation of the current analysis section. The higher the road saturation in the analysis section, the longer the distance of the road with high urgency behind, that is, the longer the distance required for the rear vehicle to take the detour in advance. Then, according to the length of the sub-interval with high urgency, the distance of the sub-interval with medium urgency and the sub-interval with low urgency is set.
[0025] Further, the on-site emergency module also includes a distribution identification module;
[0026] A distribution recognition module is used to identify the road distribution in the analysis section based on the video images, and determine the proportion of the number of vehicles in the lane where the hidden danger event is located in the analysis section to the total number of vehicles in the analysis section;
[0027] The distance setting module is also used to adjust the distance of the sub-interval with high urgency according to the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed section to the total number of vehicles in the analyzed section.
[0028] Further, the distance setting module includes a proportion analysis module and a distance adjustment module;
[0029] A proportion analysis module, used to set a first proportion and a second proportion according to the number of vehicles in the analyzed road section, wherein the first proportion is smaller than the second proportion, and the more the number of vehicles in the analyzed road section, the lower the first proportion and the higher the second proportion;
[0030] The distance adjustment module is used to reduce the distance of the sub-interval with high urgency when the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed section to the total number of vehicles in the analyzed section is lower than a first proportion, increase the distance of the sub-interval with high urgency when it is between the first proportion and the second proportion, and reduce the distance of the sub-interval with high urgency when it is higher than the second proportion.
[0031] By identifying the proportion of vehicles in the lane where the hidden danger event is located, the distance of the sub-interval with high urgency is adjusted. When the proportion of vehicles is lower than the first proportion, it means that the number of lanes where the hidden danger event is located is small. At this time, most vehicles in the analyzed section have already noticed the hidden danger event and have changed lanes. Therefore, if the rear vehicles take the detour in advance, the number of vehicles in non-hidden danger events may increase sharply, which will cause congestion risk. Therefore, when it is lower than the first proportion, the number of vehicles taking the detour in advance is reduced to avoid congestion. When it is between the first proportion and the second proportion, it means that the number of vehicles in the lane where the hidden danger event is located and other lanes are relatively evenly distributed, and the number of vehicles taking the detour in advance can be increased. When it is above the first proportion, it means that the number of vehicles in the lane where the hidden danger event is located is large. At this time, if the number of vehicles taking the detour in advance is large, it will lead to more vehicles in other lanes, and the vehicles in the current analysis lane are also changing lanes, causing serious congestion. Therefore, the distance of the sub-interval with high urgency will also be reduced at this time.
[0032] Furthermore, the lighting control module is used to adjust the indicator light of the lane where the hidden danger event is located to warm light, and adjust the indicator light of other lanes to cold light according to the lane where the hidden danger event is located. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 It is a logic block diagram of an embodiment of the integrated management system for remote monitoring of highway tunnels of the present invention. DETAILED DESCRIPTION
[0034] The following is further described in detail through specific implementation methods:
[0035] A highway tunnel remote guard integrated management system, comprising a server and tunnel monitoring equipment, wherein the server comprises a monitoring acquisition module, a monitoring identification module, an event analysis module, an on-site emergency module and a lighting control module;
[0036] A monitoring acquisition module is used to obtain various types of tunnel monitoring information from tunnel monitoring equipment;
[0037] A monitoring identification module, used to identify whether there is an alarm event in the tunnel according to the monitoring information, and when there is an alarm event, determine the event information, wherein the event information includes the event type and the event location;
[0038] The event analysis module is used to identify whether the alarm event reaches the preset safety index based on the event information when an alarm event occurs, and mark the alarm event as a safety hazard event when the preset safety index is not reached;
[0039] The on-site emergency module is used to set the analysis section according to the event location of the hidden danger event when there is a hidden danger event, identify the road saturation of the analysis section, and analyze the lane change urgency of the road within different distances behind according to the road saturation of the analysis section. The higher the road saturation, the longer the distance with high lane change urgency;
[0040] The lighting control module is used to adjust the lane indicator lights according to the urgency of each section of the road. The color of the light indicates the direction of lane change, and the brightness of the light indicates the urgency of lane change. The higher the urgency, the brighter the indicator light, and the lower the urgency, the lower the indicator light.
[0041] By acquiring and identifying various types of monitoring information in the tunnel, it is determined whether there is an alarm event in the tunnel. When there is an alarm event, the location and type of the alarm event are identified, and it is determined whether the alarm event has reached the preset safety index. When the preset safety index is not reached, it is determined that there is a safety hazard at that location. When there is a safety hazard, the alarm event is upgraded to a hidden danger event. Specifically, ordinary alarm events refer to accidents such as equipment failure and vehicle congestion that will not cause major losses. Hidden danger events refer to accidents that can threaten safety, such as smoke, fire, and gas leakage. When a hidden danger event occurs, firstly, an analysis section is set according to the location of the section where the hidden danger event is located, and according to the vehicle saturation on the analysis section, the urgency of lane change on the roads at different distances behind is analyzed, and then according to the urgency of lane change on each section of the road, the lane indicator light is adjusted to inform the rear vehicle to change lanes in advance. And according to the vehicle saturation on the analysis section, the distance with high urgency of lane change is adjusted, that is, the more vehicles on the analysis section, the longer the distance with higher urgency in the rear distance is when identifying, so that the indicator light can be used to notify the vehicle in advance to change lanes.
[0042] When a hidden danger event occurs, the saturation of the road in the analysis section is identified, and the urgency of the road behind is analyzed after the hidden danger event occurs, so as to determine whether the rear vehicle needs to change lanes in advance. And according to the different urgency levels, different light indications are used to remind vehicles. After the hidden danger event occurs, when there is no one on duty in the tunnel, corresponding adjustment measures can be made in time to avoid congestion. At the same time, the indication of tunnel lights can more easily convey the instruction information to the driver during driving, compared with text or voice instructions.
[0043] It also includes an event reporting module, which includes a timed reporting module and an emergency reporting module;
[0044] A timed reporting module is used to report the identified alarm events of non-hidden danger events at a preset time point;
[0045] The emergency reporting module is used to report immediately when a potential danger event is identified.
[0046] For routine events, such as equipment failure, etc., it is sufficient to report them on a daily basis. For hidden danger events, they are reported immediately when the system performs on-site emergency treatment, so that the relevant departments can be informed of the abnormal situation in the tunnel in a timely manner and take corresponding measures.
[0047] The on-site emergency module includes a saturation recognition module and a distance setting module;
[0048] The saturation recognition module is used to obtain the video image of the analyzed road section, identify the travel time in the analyzed road section and the number of vehicles passing through the travel time based on the video image, and calculate the traffic flow of the analyzed road section, where traffic flow = number of vehicles / travel time;
[0049] According to the preset total road capacity and the road capacity of each lane, calculate the road capacity of the analyzed section after excluding the lane where the hidden danger event is located:
[0050]
[0051]
[0052] Calculate the road saturation based on the traffic volume in the analyzed section and the road capacity of the analyzed section after excluding the lane where the hidden danger event is located. Road saturation = traffic volume / road capacity;
[0053] The distance setting module is used to set the distance of the sub-interval with high urgency according to the road saturation of the analyzed road section. The higher the road saturation, the longer the distance of the sub-interval with high urgency. The distance of the sub-interval with medium urgency and the distance of the sub-interval with low urgency are set according to the distance of the sub-interval with high urgency.
[0054] First, the number of vehicles and travel time in the analysis section are identified through video images, and the road saturation is calculated. The road saturation can be used to reflect the congestion situation of the current analysis section. The higher the road saturation in the analysis section, the longer the distance of the road with high urgency behind, that is, the longer the distance required for the rear vehicle to take the detour in advance. Then, according to the length of the sub-interval with high urgency, the distance of the sub-interval with medium urgency and the sub-interval with low urgency is set.
[0055] The on-site emergency module also includes a distribution identification module;
[0056] A distribution recognition module is used to identify the road distribution in the analysis section based on the video images, and determine the proportion of the number of vehicles in the lane where the hidden danger event is located in the analysis section to the total number of vehicles in the analysis section;
[0057] The distance setting module is also used to adjust the distance of the sub-interval with high urgency according to the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed section to the total number of vehicles in the analyzed section.
[0058] The distance setting module includes a proportion analysis module and a distance adjustment module;
[0059] A proportion analysis module, used to set a first proportion and a second proportion according to the number of vehicles in the analyzed road section, wherein the first proportion is smaller than the second proportion, and the more the number of vehicles in the analyzed road section, the lower the first proportion and the higher the second proportion;
[0060] The distance adjustment module is used to reduce the distance of the sub-interval with high urgency when the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed section to the total number of vehicles in the analyzed section is lower than a first proportion, increase the distance of the sub-interval with high urgency when it is between the first proportion and the second proportion, and reduce the distance of the sub-interval with high urgency when it is higher than the second proportion.
[0061] By identifying the proportion of vehicles in the lane where the hidden danger event is located, the distance of the sub-interval with high urgency is adjusted. When the proportion of vehicles is lower than the first proportion, it means that the number of lanes where the hidden danger event is located is small. At this time, most vehicles in the analyzed section have already noticed the hidden danger event and have changed lanes. Therefore, if the rear vehicles take the detour in advance, the number of vehicles in non-hidden danger events may increase sharply, which will cause congestion risk. Therefore, when it is lower than the first proportion, the number of vehicles taking the detour in advance is reduced to avoid congestion. When it is between the first proportion and the second proportion, it means that the number of vehicles in the lane where the hidden danger event is located and other lanes are relatively evenly distributed, and the number of vehicles taking the detour in advance can be increased. When it is above the first proportion, it means that the number of vehicles in the lane where the hidden danger event is located is large. At this time, if the number of vehicles taking the detour in advance is large, it will lead to more vehicles in other lanes, and the vehicles in the current analysis lane are also changing lanes, causing serious congestion. Therefore, the distance of the sub-interval with high urgency will also be reduced at this time.
[0062] The lighting control module is used to adjust the indicator light of the lane where the hidden danger event is located to warm light, and adjust the indicator light of other lanes to cold light according to the lane where the hidden danger event is located.
[0063] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.
Claims
1. The highway tunnel remote guard integrated management system is characterized by: It includes a server and a tunnel monitoring device, wherein the server includes a monitoring acquisition module, a monitoring identification module, an event analysis module, an on-site emergency module and a lighting control module; A monitoring acquisition module is used to obtain various types of tunnel monitoring information from tunnel monitoring equipment; A monitoring identification module, used to identify whether there is an alarm event in the tunnel according to the monitoring information, and when there is an alarm event, determine the event information, wherein the event information includes the event type and the event location; The event analysis module is used to identify whether the alarm event reaches the preset safety index based on the event information when an alarm event occurs, and mark the alarm event as a safety hazard event when the preset safety index is not reached; The on-site emergency module is used to set the analysis section according to the event location of the hidden danger event when there is a hidden danger event, identify the road saturation of the analysis section, and classify the urgency of the rear road in sequence according to the road saturation of the analysis section. The urgency includes high, medium and low in sequence according to the distance from the analysis section. The higher the road saturation, the longer the distance of the sub-interval with high lane change urgency; The lighting control module is used to adjust the lane indicator lights according to the urgency of each section of the road. The color of the lights indicates the direction of lane change, and the brightness of the lights indicates the urgency of lane change. The higher the urgency, the brighter the indicator lights, and the lower the urgency, the lower the indicator lights. The on-site emergency module includes a saturation recognition module and a distance setting module; The saturation recognition module is used to obtain the video image of the analyzed road section, identify the travel time in the analyzed road section and the number of vehicles passing through the travel time based on the video image, and calculate the traffic flow of the analyzed road section, where traffic flow = number of vehicles / travel time; According to the preset total road capacity and the road capacity of each lane, calculate the road capacity of the analyzed section after excluding the lane where the hidden danger event is located: Calculate the road saturation based on the traffic volume in the analyzed section and the road capacity of the analyzed section after excluding the lane where the hidden danger event is located. Road saturation = traffic volume / road capacity; A distance setting module is used to set the distance of the sub-interval with high urgency according to the road saturation of the analyzed road section. The higher the road saturation, the longer the distance of the sub-interval with high urgency. The distance of the sub-interval with medium urgency and the distance of the sub-interval with low urgency are set according to the distance of the sub-interval with high urgency. The on-site emergency module also includes a distribution identification module; A distribution recognition module is used to identify the road distribution in the analysis section based on the video images, and determine the proportion of the number of vehicles in the lane where the hidden danger event is located in the analysis section to the total number of vehicles in the analysis section; The distance setting module is also used to adjust the distance of the sub-interval with high urgency according to the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed road section to the total number of vehicles in the analyzed road section; The distance setting module includes a proportion analysis module and a distance adjustment module; A proportion analysis module, used to set a first proportion and a second proportion according to the number of vehicles in the analyzed road section, wherein the first proportion is smaller than the second proportion, and the more the number of vehicles in the analyzed road section, the lower the first proportion and the higher the second proportion; The distance adjustment module is used to reduce the distance of the sub-interval with high urgency when the proportion of the number of vehicles in the lane where the hidden danger event is located in the analyzed section to the total number of vehicles in the analyzed section is lower than a first proportion, increase the distance of the sub-interval with high urgency when it is between the first proportion and the second proportion, and reduce the distance of the sub-interval with high urgency when it is higher than the second proportion.
2. The highway tunnel remote guard integrated management system according to claim 1 is characterized by: It also includes an event reporting module, which includes a timed reporting module and an emergency reporting module; A timed reporting module is used to report the identified alarm events of non-hidden danger events at a preset time point; The emergency reporting module is used to report immediately when a potential danger event is identified.
3. The highway tunnel remote guard integrated management system according to claim 1 is characterized by: The lighting control module is used to adjust the indicator light of the lane where the hidden danger event is located to warm light, and adjust the indicator light of other lanes to cold light according to the lane where the hidden danger event is located.
Citation Information
Patent Citations
Tunnel intelligent edge calculation management and control system
CN111325977A
Dynamic lane control method and system for traffic incident management and control
CN115171368A
Intelligent traffic tunnel dredging system and dredging method thereof
CN116052449A