CN117612387A - Intelligent tunnel and pipe gallery comprehensive monitoring system and monitoring method - Google Patents
Intelligent tunnel and pipe gallery comprehensive monitoring system and monitoring method Download PDFInfo
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Abstract
The invention relates to the technical field of comprehensive monitoring of intelligent tunnels and pipe galleries, and particularly discloses a comprehensive monitoring system of intelligent tunnels and pipe galleries, which comprises the following components: the light collecting module is arranged at the top of the tunnel and used for collecting the reflected light intensity of the illuminating light on the ground of the tunnel; the environment acquisition module is used for acquiring the temperature and the humidity in the tunnel; the analysis module is used for analyzing and monitoring friction parameters of the ground in the tunnel to obtain a suggested speed threshold; analyzing and monitoring the running state of the vehicle in the tunnel, judging whether the running speed of the vehicle is abnormal or not, and generating traffic accident early warning signals; analyzing and monitoring the temperature in the tunnel, judging whether the temperature change in the tunnel is abnormal or not, and generating a fire disaster early warning signal; according to the method, the minimum friction parameter of the ground in the tunnel is obtained by calculating according to the smoothness evaluation parameter of the ground in the area and the temperature and humidity in the tunnel; and obtaining a recommended speed threshold value in the running process in the tunnel according to the lowest friction parameter of the ground in the tunnel.
Description
Technical Field
The invention relates to the technical field of comprehensive monitoring of intelligent tunnels and pipe galleries, in particular to a comprehensive monitoring system and a comprehensive monitoring method of intelligent tunnels and pipe galleries.
Background
The utility model provides a wisdom tunnel and piping lane integrated monitoring system and control method is a system that is used for monitoring tunnel and piping lane internal environment and equipment running state, and it is through integrating various sensors, surveillance camera head, data acquisition equipment and analytical algorithm, realizes the real-time supervision and the analysis to tunnel and the inside various parameter of piping lane and equipment, and the main functions of this system include: video monitoring, fire alarm, air quality monitoring, illumination control, temperature and humidity monitoring, wind speed and wind direction monitoring, combustible gas detection and the like, and traffic conditions, equipment running states, personnel behaviors and the like inside tunnels and pipe galleries can be monitored and analyzed in real time by utilizing a high-definition camera and an image analysis algorithm.
The illumination condition in the tunnel is usually darker, compare on the road that opens, driver's sight probably receives the restriction, and driver still can be because "black hole effect" and "white hole effect" can not see the road conditions clearly in the short time in business turn over tunnel process, if there is water stain or greasy dirt on the ground in the tunnel, the driver can not in time discover at driving in-process, and then cause the vehicle to skid even traffic accident, in the prior art, speed limit is carried out to the speed that the vehicle was passed through in the tunnel in order to reduce the traffic accident that leads to because of visual deviation, but this speed limit is mostly fixed numerical value, can't adjust according to the detailed road conditions in the tunnel, have certain limitation.
Disclosure of Invention
The invention aims to provide an intelligent tunnel and pipe gallery comprehensive monitoring system and a monitoring method, which solve the following technical problems:
how to adjust the speed limit threshold value in the tunnel according to the road condition in the tunnel.
The aim of the invention can be achieved by the following technical scheme:
an intelligent tunnel and pipe rack integrated monitoring system, the system comprising:
the illumination module is arranged at the top of the tunnel and used for illuminating the tunnel;
the light collecting module is arranged at the top of the tunnel and used for collecting the reflected light intensity of the illuminating light on the ground of the tunnel;
the environment acquisition module is used for acquiring the temperature and the humidity in the tunnel;
the video acquisition module is used for acquiring the running state of the vehicle in the tunnel and the data of the running vehicle;
the analysis module is used for analyzing and monitoring friction parameters of the ground in the tunnel to obtain a suggested speed threshold; analyzing and monitoring the running state of the vehicle in the tunnel, judging whether the running speed of the vehicle is abnormal or not, and generating traffic accident early warning signals; analyzing and monitoring the temperature in the tunnel, judging whether the temperature change in the tunnel is abnormal or not, and generating a fire disaster early warning signal;
the early warning module is used for executing traffic accident early warning signals and fire disaster early warning signals;
the display module is arranged at the entrance of the tunnel and used for displaying the suggested speed threshold and the early warning information.
A method for monitoring a smart tunnel and pipe gallery, the method comprising:
s1, collecting the intensity, temperature and humidity of reflected light rays monitored by all monitoring points in a tunnel, analyzing and obtaining the lowest friction parameter of the ground in the tunnel, further generating a suggested speed threshold value, and displaying the suggested speed threshold value at a tunnel entrance through a display module;
s2, collecting the running speeds of vehicles monitored by all monitoring points in the tunnel, analyzing whether the running speeds of the vehicles are abnormal, generating traffic accident early warning signals when the running speeds of the vehicles are abnormal, displaying the traffic accident early warning signals at the entrance of the tunnel through a display module and sending traffic accident early warning through an early warning module;
s3, collecting data of vehicles passing through the tunnel, analyzing the temperature in the tunnel, analyzing whether temperature change is abnormal, generating fire early warning signals when the temperature change is abnormal, displaying the fire early warning signals at the entrance of the tunnel through a display module and sending out fire early warning through an early warning module.
In one embodiment, the method for obtaining the lowest friction parameter of the ground in the tunnel in step S1 includes:
generating a change curve of the intensity of the ground reflected light in the tunnel according to the fitting modeling of the intensity of the reflected light monitored by each monitoring point, and obtaining the maximum value of the intensity of the ground reflected light in the tunnel by taking the highest point of the curve;
calculating to obtain a smooth evaluation parameter of the ground in the area according to the illumination intensity provided by the illumination module and the maximum value of the reflection intensity of the light rays by the ground in the tunnel;
and calculating according to the smoothness evaluation parameter of the ground in the area and the temperature and humidity in the tunnel to obtain the minimum friction parameter of the ground in the tunnel.
Further, the method for generating the recommended vehicle speed threshold in step S1 includes:
and obtaining a recommended speed threshold value in the running process in the tunnel according to the lowest friction parameter of the ground in the tunnel.
In one embodiment, the method for generating the traffic accident pre-warning signal in step S2 includes:
according to the monitoring of each monitoring point, the speed of each vehicle in the tunnel is measured independently;
comparing the speed of each monitoring point with a suggested speed threshold;
if the vehicle speed is not within the recommended vehicle speed threshold, generating traffic accident early warning.
Further, generating the signal for pre-warning the traffic accident in step S2 further includes:
according to the vehicle speed fitting modeling of the same vehicle monitored at each monitoring point, generating a speed change curve of the vehicle in the tunnel, and according to a linear regression algorithm, fitting a K value of the curve;
comparing the K value with a reasonable value of the normal vehicle speed change;
and if the K value is larger than a reasonable value of the normal vehicle speed change, generating a traffic accident early warning signal.
In one embodiment, the method for generating a fire warning signal in step S3 includes:
monitoring the temperature of each monitoring point in the tunnel according to the monitoring of each monitoring point;
comparing the temperature of each monitoring point with a preset early warning temperature;
if the monitored temperature exceeds the preset early warning temperature, a fire early warning signal is generated.
Further, the method for generating a fire early warning signal in step S3 further includes:
calculating and obtaining theoretical temperature values monitored by all monitoring points according to the collected vehicle data passing through the tunnel;
comparing the theoretical temperature value monitored by each monitoring point with the actual temperature value;
if the comparison difference is larger than the preset early warning temperature difference, a fire early warning signal is generated.
Further, the process of analyzing the preset early warning temperature difference value includes:
and (3) calculating to obtain a preset early warning temperature difference value according to the standard temperature difference value and the times of generating car accident early warning in the step S2 in a certain time period.
The invention has the beneficial effects that:
(1) According to the method, a change curve of the intensity of the ground reflected light in the tunnel is generated by fitting and modeling according to the intensity of the reflected light monitored by each monitoring point, and the smoothness evaluation parameter of the ground in the area is obtained by calculating according to the illumination intensity provided by the illumination module and the maximum value of the intensity of the ground reflected light in the tunnel; calculating to obtain the lowest friction parameter of the ground in the tunnel according to the smoothness evaluation parameter of the ground in the area and the temperature and humidity in the tunnel; and obtaining a recommended speed threshold value in the running process in the tunnel according to the lowest friction parameter of the ground in the tunnel.
(2) According to the invention, a speed change curve of the vehicle in a tunnel is generated according to vehicle speed fitting modeling monitored by the same vehicle at each monitoring point, and a K value of the curve is fitted according to a linear regression algorithm; comparing the K value with a reasonable value of the normal vehicle speed change; and if the K value is larger than a reasonable value of the normal vehicle speed change, generating a traffic accident early warning signal.
(3) According to the method, theoretical temperature values monitored by all monitoring points are obtained through calculation according to collected vehicle data passing through a tunnel; comparing the theoretical temperature value monitored by each monitoring point with the actual temperature value; if the comparison difference is larger than the preset early warning temperature difference, generating a fire early warning signal; and (3) calculating to obtain a preset early warning temperature difference value according to the standard temperature difference value and the times of generating car accident early warning in the step S2 in a certain time period.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of the present invention for a smart tunnel and pipe rack integrated monitoring system;
FIG. 2 is a flow chart of the steps of the method for intelligent tunnel and pipe gallery integrated monitoring of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, a system for monitoring and controlling a smart tunnel and pipe rack is provided, wherein the system includes:
the illumination module is arranged at the top of the tunnel and used for illuminating the tunnel;
the light collecting module is arranged at the top of the tunnel and used for collecting the reflected light intensity of the illuminating light on the ground of the tunnel;
the environment acquisition module is used for acquiring the temperature and the humidity in the tunnel;
the video acquisition module is used for acquiring the running state of the vehicle in the tunnel and the data of the running vehicle;
the analysis module is used for analyzing and monitoring friction parameters of the ground in the tunnel to obtain a suggested speed threshold; analyzing and monitoring the running state of the vehicle in the tunnel, judging whether the running speed of the vehicle is abnormal or not, and generating traffic accident early warning signals; analyzing and monitoring the temperature in the tunnel, judging whether the temperature change in the tunnel is abnormal or not, and generating a fire disaster early warning signal;
the early warning module is used for executing traffic accident early warning signals and fire disaster early warning signals;
the display module is arranged at the entrance of the tunnel and used for displaying the suggested speed threshold and the early warning information.
Through the technical scheme, the intelligent tunnel and pipe gallery comprehensive monitoring system is provided in the embodiment, the lighting module can provide fully stable lighting in the tunnel, the light collecting module can collect the light intensity of diffuse reflection on the ground of the tunnel, the environment collecting module can collect the temperature and the humidity in the tunnel, the video collecting module can collect the running state and the data of the vehicle in the tunnel, the analysis module can analyze and monitor the friction parameters in the tunnel through the data collected by the light collecting module and the environment collecting module, and then the recommended speed threshold is obtained, the driver is displayed through the display module so as to achieve the purpose of reminding, meanwhile, the analysis module can analyze and monitor the running speed of the vehicle in the tunnel through the data collected by the video collecting module, when judging that the running speed of the vehicle is abnormal, a traffic accident early warning signal is generated, the traffic accident early warning module sends out traffic accident early warning signals so as to achieve the purpose of notifying the tunnel manager that traffic accidents or the possibility of occurrence of traffic accidents in the tunnel, meanwhile, the analysis module can also analyze and monitor the temperature change in the tunnel through the data information of the running vehicle collected by the video collecting module, and then compare the temperature change in the tunnel with the environment and the actual fire early warning signal can send out when judging that the fire disaster early warning signal is abnormal.
Referring to fig. 2, in one embodiment, a method for monitoring a smart tunnel and pipe gallery is provided, where the method includes:
s1, collecting the intensity, temperature and humidity of reflected light rays monitored by all monitoring points in a tunnel, analyzing and obtaining the lowest friction parameter of the ground in the tunnel, further generating a suggested speed threshold value, and displaying the suggested speed threshold value at a tunnel entrance through a display module;
s2, collecting the running speeds of vehicles monitored by all monitoring points in the tunnel, analyzing whether the running speeds of the vehicles are abnormal, generating traffic accident early warning signals when the running speeds of the vehicles are abnormal, displaying the traffic accident early warning signals at the entrance of the tunnel through a display module and sending traffic accident early warning through an early warning module;
s3, collecting data of vehicles passing through the tunnel, analyzing the temperature in the tunnel, analyzing whether temperature change is abnormal, generating fire early warning signals when the temperature change is abnormal, displaying the fire early warning signals at the entrance of the tunnel through a display module and sending out fire early warning through an early warning module.
Through the technical scheme, the embodiment provides a comprehensive monitoring method for intelligent tunnels and pipe galleries, the method starts to obtain the lowest friction parameter of the ground in the tunnel according to the intensity, the temperature and the humidity of reflected light rays monitored by each monitoring point in the tunnel, according to experimental analysis, a suggested vehicle speed threshold under the friction parameter is displayed at a tunnel entrance through a display module, then the state of a vehicle in the tunnel is analyzed, when the variation of the vehicle speed is abnormal, traffic accident early warning information is generated, tunnel management personnel are informed of carrying out manual processing on the traffic accident early warning information in time, finally the temperature variation in the tunnel is analyzed, whether the temperature variation of each area in the tunnel is normal is judged, fire disaster early warning is generated when the variation of the temperature in the tunnel is abnormal, and the tunnel management personnel are informed of carrying out manual processing on the fire disaster early warning information in time.
The method for obtaining the lowest friction parameter of the ground in the tunnel in the step S1 comprises the following steps:
generating a change curve of the intensity of the ground reflected light in the tunnel according to the fitting modeling of the intensity of the reflected light monitored by each monitoring point, and obtaining the maximum value of the intensity of the ground reflected light in the tunnel by taking the highest point of the curve;
calculating to obtain a smooth evaluation parameter of the ground in the area according to the illumination intensity provided by the illumination module and the maximum value of the reflection intensity of the light rays by the ground in the tunnel;
and calculating according to the smoothness evaluation parameter of the ground in the area and the temperature and humidity in the tunnel to obtain the minimum friction parameter of the ground in the tunnel.
The method for generating the recommended vehicle speed threshold in step S1 includes:
and obtaining a recommended speed threshold value in the running process in the tunnel according to the lowest friction parameter of the ground in the tunnel.
According to the technical scheme, the method for obtaining the recommended speed threshold value in the tunnel is provided in the embodiment, the reflected light intensity value monitored by each monitoring point on the light acquisition module is fitted and modeled to generate a change curve L (X) of the ground reflected light intensity in the tunnel, the X axis of the change curve is the corresponding length position in the tunnel, and then the maximum value L (X) of the change curve is taken max The reflected light intensity values acquired by the corresponding monitoring points can be influenced by external light irradiation because the two ends of the tunnel are close to the entrance and the exit, so that in the actual modeling process, data monitored by the monitoring points positioned at the two ends of the tunnel and close to the entrance can be analyzed and processed by the processing module according to the external incident light intensity and the proportion of the light intensity received by the ground in the tunnel, the accuracy of a change curve L (x) of the ground reflected light intensity in the tunnel is guaranteed, and the proportion of processing reduction under different incident light intensities can be obtained by simulation calculation according to a large number of experiments.
The threshold value V of the recommended speed during the running in the tunnel min ,V max ]The following data analysis modes can be used for the concrete expression:
S＝L(x) max *σ
V max ＝V std *μ min *δ
V min ＝V max -V std *μ min *α
the threshold V of the recommended speed in the running process in the tunnel is calculated and obtained by combining the formulas min ,V max ]；
Wherein S is a smoothness evaluation parameter of a region with the maximum light reflection intensity in the tunnel, sigma is a conversion coefficient of converting the ground light reflection intensity in the tunnel into the ground smoothness evaluation parameter, the conversion coefficient is related to factors such as tunnel ground material, extension, light irradiation angle, color gamut and the like, and the conversion coefficient can be obtained by carrying out statistic analysis on multiple groups of experimental data in the corresponding tunnel, mu min For the lowest friction parameter of the ground in the tunnel, f (T, RH) is a function of the influence of the temperature and humidity in the tunnel on the ground friction parameter, T is the temperature in the tunnel, RH is the humidity in the tunnel, the higher the temperature is, the larger the value of f (T, RH) is, the higher the value of RH is, the smaller the value of f (T, RH) is, and the data statistics analysis can be carried out on experiments corresponding to the changes of multiple groups of temperature and humidity in the tunnel, V std The maximum recommended speed of the normal standard road is obtained by analyzing multiple groups of experimental data on the standard road according to multiple vehicles, delta is a compensation coefficient for converting the minimum friction parameter of the ground in the tunnel into the recommended maximum speed, the maximum recommended speed is obtained by performing statistical analysis on multiple groups of experimental data in the corresponding tunnel, alpha is a weight coefficient for converting the maximum recommended speed on the standard road into the minimum recommended speed, and the maximum recommended speed is obtained by performing rapid braking and deceleration on the multiple vehicles in the corresponding tunnel.
The method for generating the traffic accident pre-warning signal in the step S2 comprises the following steps:
according to the monitoring of each monitoring point, the speed of each vehicle in the tunnel is measured independently;
comparing the speed of each monitoring point with a suggested speed threshold;
if the vehicle speed is not within the recommended vehicle speed threshold, generating traffic accident early warning.
Through the above technical scheme, the present embodiment provides a method for generating an intra-tunnel traffic accident warning signal, which monitors the speeds of all vehicles traveling through a tunnel individually through a video acquisition module, and monitors the speed monitored by each monitoring point and the recommended speed threshold [ V ] generated in step S1 min ,V max ]Comparing;
if the speed of a certain vehicle is greater than the maximum value V of the threshold value of the recommended speed max The emergency situation can not be caused to rapidly and effectively stop the vehicle in the running process of the vehicle, and corresponding vehicle speed overspeed can be sent to tunnel management staff, and early warning of traffic accidents can be caused;
if the speed of a certain vehicle is less than the minimum value V of the threshold value of the recommended speed min The vehicle can not be braked to the corresponding vehicle speed quickly and effectively when the vehicle is observed by the rear vehicle, and the corresponding vehicle speed is sent to tunnel management personnel to be too low, so that the early warning of traffic accidents can be generated.
The generating the signal of the traffic accident pre-warning in step S2 further includes:
according to the vehicle speed fitting modeling of the same vehicle monitored at each monitoring point, generating a speed change curve of the vehicle in the tunnel, and according to a linear regression algorithm, fitting a K value of the curve;
comparing the K value with a reasonable value of the normal vehicle speed change;
and if the K value is larger than a reasonable value of the normal vehicle speed change, generating a traffic accident early warning signal.
Through the above technical scheme, the embodiment provides a method for generating traffic accident early warning signals in a tunnel, which is to perform fitting modeling on the speeds of the same vehicle monitored by each monitoring point of a video acquisition module to generate a speed change curve of the corresponding vehicle in the tunnel, calculate the K value of the curve to obtain a reasonable value K of the K value and the normal vehicle speed change std Comparing;
if K>K std The abnormal speed change of the vehicle is illustrated, the vehicle is in an abnormal driving state, the traffic accident early warning is generated, and the tunnel manager is informed that the corresponding road section in the tunnel can be informedTraffic accidents can occur, and the traffic accidents can be transmitted to a display module at the entrance of a tunnel of information transmission values to remind a driver entering the tunnel of reducing the speed of the vehicle, wherein K is std The method is a reasonable value of the normal vehicle speed change, and can be obtained by analyzing multiple groups of experiments for normal braking or acceleration of different vehicles in corresponding tunnels.
The method for generating the fire early-warning signal in the step S3 comprises the following steps:
monitoring the temperature of each monitoring point in the tunnel according to the monitoring of each monitoring point;
comparing the temperature of each monitoring point with a preset early warning temperature;
if the monitored temperature exceeds the preset early warning temperature, a fire early warning signal is generated.
Through the technical scheme, the embodiment provides a method for generating or early warning signals in a tunnel, and the temperature of each monitoring point in the tunnel is monitored through an environment acquisition module;
the temperature T monitored by each monitoring point i Sequentially and pre-setting the early warning temperature T sth Comparing;
if T i >T sth Indicating that the temperature in the monitoring point area is too high, possibly causing a fire disaster, generating a fire disaster early warning signal, sending early warning of the possibly causing the fire disaster in the corresponding area to tunnel management staff,
wherein T is sth The early warning temperature is preset, and the early warning temperature can be obtained by carrying out experimental comprehensive evaluation for a plurality of times according to inflammables in the corresponding tunnels.
The method for generating a fire early warning signal in step S3 further includes:
calculating and obtaining theoretical temperature values monitored by all monitoring points according to the collected vehicle data passing through the tunnel;
comparing the theoretical temperature value monitored by each monitoring point with the actual temperature value;
if the comparison difference is larger than the preset early warning temperature difference, a fire early warning signal is generated.
The process of analyzing the preset early warning temperature difference value comprises the following steps:
and (3) calculating to obtain a preset early warning temperature difference value according to the standard temperature difference value and the times of generating car accident early warning in the step S2 in a certain time period.
According to the technical scheme, the method for generating or early warning signals in the tunnel is provided, theoretical temperature values of all monitoring points in the tunnel in a corresponding time period are obtained through calculation according to the collected related data such as the number of vehicles in the tunnel, the frequency, the temperature outside the tunnel and the like, the theoretical temperature values can be obtained through experimental modeling according to different monitoring points in the corresponding tunnel, a corresponding theoretical temperature change curve is established, then the temperatures actually collected at the real-time points of all the corresponding monitoring points are compared with the temperatures at the corresponding time points in the theoretical temperature change curve to obtain actual and theoretical temperature differences of all the monitoring points, then the temperature differences are compared with preset early warning temperature differences, if the temperature differences are larger than the preset early warning temperature differences, fire early warning signals are generated, and early warning of fire disasters possibly occurring in corresponding areas is sent to tunnel management staff;
wherein the preset pre-warning temperature difference is related to the number of times of generating the car accident pre-warning in the step S2 within a certain time period, and the more the number of times of generating the car accident pre-warning is, the more the probability of fire occurrence in the tunnel is described, so that the preset temperature difference is reduced to improve the timely effectiveness of the fire disaster pre-warning, and the formula can be adoptedA preset early warning temperature difference DIF is obtained through calculation,
wherein, DIF sth For the standard pre-warning temperature difference, NF is the number of car accident pre-warning times in a certain time period, and can be obtained according to the car accident pre-warning statistics in step S2, M is the compensation parameter of the car accident pre-warning effect in a certain time period, and in particular, can be obtained according to multiple experimental data analysis.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. The utility model provides a wisdom tunnel and piping lane comprehensive monitoring method which characterized in that, the method includes:
s1, collecting the intensity, temperature and humidity of reflected light rays monitored by all monitoring points in a tunnel, analyzing to obtain the lowest friction parameter of the ground in the tunnel, fitting and modeling according to the intensity of the reflected light rays monitored by all the monitoring points to generate a change curve of the intensity of the reflected light rays of the ground in the tunnel, and obtaining the maximum value of the intensity of the reflected light rays of the ground in the tunnel by taking the highest point of the curve;
calculating to obtain a smooth evaluation parameter of the ground in the area according to the illumination intensity provided by the illumination module and the maximum value of the reflection intensity of the light rays by the ground in the tunnel;
calculating to obtain the minimum friction parameter of the ground in the tunnel according to the smoothness evaluation parameter of the ground in the area and the temperature and humidity in the tunnel, generating a suggested speed threshold according to the minimum friction parameter, and displaying at the entrance of the tunnel through a display module;
s2, collecting the running speeds of vehicles monitored by all monitoring points in the tunnel, analyzing whether the running speeds of the vehicles are abnormal, generating traffic accident early warning signals when the running speeds of the vehicles are abnormal, displaying the traffic accident early warning signals at the entrance of the tunnel through a display module and sending traffic accident early warning through an early warning module;
s3, collecting data of vehicles passing through the tunnel, analyzing the temperature in the tunnel, analyzing whether temperature change is abnormal, generating fire early warning signals when the temperature change is abnormal, displaying the fire early warning signals at the entrance of the tunnel through a display module and sending out fire early warning through an early warning module.
2. The method for comprehensive monitoring of intelligent tunnels and galleries according to claim 1, wherein the method for generating the recommended speed threshold in step S1 comprises:
S＝L(x) max *σ
V max ＝V std *μ min *δ
V min ＝V max -V std *μ min *α
the threshold value V of the recommended speed in the running process in the tunnel is calculated and obtained by combining the formulas min ,V max ]；
S is a smoothness evaluation parameter of the region with the maximum light reflection intensity in the tunnel, sigma is a conversion coefficient of converting the ground light reflection intensity in the tunnel into the ground smoothness evaluation parameter, mu min For the lowest friction parameter of the ground in the tunnel, f (T, RH) is the function of the temperature and humidity in the tunnel to the ground friction parameter, T is the temperature in the tunnel, RH is the humidity in the tunnel, V std And delta is a compensation coefficient for converting the minimum friction parameter of the ground in the tunnel into the recommended maximum speed, and alpha is a weight coefficient for converting the maximum recommended speed on the standard road into the minimum recommended speed.
3. The method for comprehensive monitoring of intelligent tunnels and galleries according to claim 2, wherein the method for generating the traffic accident pre-warning signal in step S2 comprises:
according to the monitoring of each monitoring point, the speed of each vehicle in the tunnel is measured independently;
comparing the speed of each monitoring point with a suggested speed threshold;
if the vehicle speed is not within the recommended vehicle speed threshold, generating traffic accident early warning.
4. The method for integrated monitoring of intelligent tunnels and galleries according to claim 3, wherein generating the traffic accident pre-warning signal in step S2 further comprises:
according to the vehicle speed fitting modeling of the same vehicle monitored at each monitoring point, generating a speed change curve of the vehicle in the tunnel, and according to a linear regression algorithm, fitting a K value of the curve;
comparing the K value with a reasonable value of the normal vehicle speed change;
and if the K value is larger than a reasonable value of the normal vehicle speed change, generating a traffic accident early warning signal.
5. The method for monitoring and controlling intelligent tunnels and galleries according to claim 4, wherein the method for generating the fire early warning signal in step S3 comprises:
monitoring the temperature of each monitoring point in the tunnel according to the monitoring of each monitoring point;
comparing the temperature of each monitoring point with a preset early warning temperature;
if the monitored temperature exceeds the preset early warning temperature, a fire early warning signal is generated.
6. The method for monitoring and controlling intelligent tunnels and galleries according to claim 5, wherein the method for generating the fire early-warning signal in step S3 further comprises:
calculating and obtaining theoretical temperature values monitored by all monitoring points according to the collected vehicle data passing through the tunnel;
comparing the theoretical temperature value monitored by each monitoring point with the actual temperature value;
if the comparison difference is larger than the preset early warning temperature difference, a fire early warning signal is generated.
7. The method for monitoring and controlling intelligent tunnels and galleries according to claim 6, wherein the pre-set pre-warning temperature difference analysis process comprises:
and (3) calculating to obtain a preset early warning temperature difference value according to the standard temperature difference value and the times of generating car accident early warning in the step S2 in a certain time period.
8. A smart tunnel and pipe rack integrated monitoring system for performing a smart tunnel and pipe rack integrated monitoring method as claimed in any one of claims 1-7, said system comprising:
the illumination module is arranged at the top of the tunnel and used for illuminating the tunnel;
the light collecting module is arranged at the top of the tunnel and used for collecting the reflected light intensity of the illuminating light on the ground of the tunnel;
the environment acquisition module is used for acquiring the temperature and the humidity in the tunnel;
the video acquisition module is used for acquiring the running state of the vehicle in the tunnel and the data of the running vehicle;
the analysis module is used for analyzing and monitoring friction parameters of the ground in the tunnel to obtain a suggested speed threshold; analyzing and monitoring the running state of the vehicle in the tunnel, judging whether the running speed of the vehicle is abnormal or not, and generating traffic accident early warning signals; analyzing and monitoring the temperature in the tunnel, judging whether the temperature change in the tunnel is abnormal or not, and generating a fire disaster early warning signal;
the early warning module is used for executing traffic accident early warning signals and fire disaster early warning signals;
the display module is arranged at the entrance of the tunnel and used for displaying the suggested speed threshold and the early warning information.
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Cited By (1)
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| CN117649213A (en) * | 2024-01-30 | 2024-03-05 | 四川宽窄智慧物流有限责任公司 | Front-end management method and system for transportation safety |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117649213A (en) * | 2024-01-30 | 2024-03-05 | 四川宽窄智慧物流有限责任公司 | Front-end management method and system for transportation safety |
| CN117649213B (en) * | 2024-01-30 | 2024-04-19 | 四川宽窄智慧物流有限责任公司 | Front-end management method and system for transportation safety |
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