CN118397845B - Expressway tunnel environment safety monitoring system - Google Patents
Expressway tunnel environment safety monitoring system Download PDFInfo
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- 238000005286 illumination Methods 0.000 claims description 17
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Abstract
The invention relates to the technical field of tunnel environment monitoring, and particularly discloses a highway tunnel environment safety monitoring system, which comprises the following components: the regional division module is used for dividing the expressway tunnel into a plurality of regions; the total risk coefficient in the tunnel is calculated through the data processing module, the total risk coefficient in the tunnel is compared with the preset total risk coefficient threshold value in the tunnel through the analysis comparison module, the height of the running safety index in the tunnel can be accurately judged, when the running safety index in the tunnel is judged to be lower, the safe running speed of the running in the tunnel is firstly adjusted according to the total risk coefficient in the tunnel, and then the adjusted safe running speed of the running in the tunnel and the early warning information are synchronized in the electronic warning board through the early warning module, so that the real-time monitoring of the tunnel safety can be achieved, suggestions for effectively reducing the running risk can be synchronously provided for running vehicles, and the running safety in the tunnel is ensured.
Description
Technical Field
The invention relates to the technical field of tunnel environment monitoring, in particular to a highway tunnel environment safety monitoring system.
Background
The system ensures the running safety and smoothness in the tunnel through means of real-time monitoring, data acquisition and analysis, early warning, emergency response and the like, and simultaneously, the system can also provide data support for the optimal design and operation management of the tunnel, and improves the operation efficiency and service quality of the tunnel.
The common expressway tunnel environment safety monitoring system collects environment data in the tunnel, such as temperature, humidity, smoke concentration, illumination intensity and the like, in real time through various sensors and detection equipment, processes, analyzes and evaluates the environment data, can help engineers to know the operation state and the safety condition of the tunnel, provides basis for management and maintenance of the tunnel, and when abnormal conditions occur in the tunnel, such as traffic accidents, fire disasters and the like, the early warning and emergency response system can timely give out an alarm and starts corresponding emergency measures, such as closing the tunnel, guiding vehicle evacuation and the like, so that loss is reduced and personnel safety is guaranteed.
In the prior art, environmental safety monitoring of a highway tunnel is usually carried out by collecting environmental data in the tunnel in real time and processing, analyzing and evaluating the environmental data, and through the arrangement, although the environmental safety in the tunnel can be monitored and the running vehicle can be early-warned, advice for reducing the running risk can not be provided for the running vehicle, so that potential safety hazards still exist when the vehicle runs.
Disclosure of Invention
The invention aims to provide a highway tunnel environment safety monitoring system, which solves the following technical problems:
a suggestion is provided for a traveling vehicle to effectively reduce traveling risk.
The aim of the invention can be achieved by the following technical scheme:
a highway tunnel environmental safety monitoring system, the system comprising:
the regional division module is used for dividing the expressway tunnel into a plurality of regions;
the image information acquisition module is used for acquiring road information data in the expressway tunnel;
the environment information acquisition module is used for acquiring environment information data in the expressway tunnel;
The data processing module is used for calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel;
the analysis comparison module is used for comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of the driving in the tunnel;
The early warning module comprises electronic warning boards, wherein the electronic warning boards are arranged at the entrance of the expressway tunnel and are provided with a plurality of groups and used for determining whether to send out early warning according to comparison results and warning the safety driving speed of the driving in the adjusted tunnel.
Further, the image information acquisition module comprises a camera unit and an identification unit, and is used for shooting road image information in the expressway tunnel, and extracting information data in the road image through the identification unit, wherein the image information acquisition module comprises a ponding area, an oil pollution area and a damage area on a road in the expressway tunnel;
The information collected by the environment information collection module comprises illumination intensity in a tunnel, illumination intensity outside the tunnel, waste gas concentration, wind speed and smoke dust concentration.
Further, the calculating process of the total risk coefficient in the tunnel comprises the following steps:
By the formula Calculating and obtaining environmental influence risk coefficient of ith area in tunnel in one acquisition process；
Wherein, In the case of any one of the regions,Is the total number of divided areas, and，For the illumination intensity outside the tunnel in the one-time acquisition process,For the illumination intensity in the ith region in the tunnel during one acquisition,For the concentration of smoke in the ith zone of the tunnel during one acquisition,Is a preset standard value of the smoke concentration,For the wind speed influence coefficient in the ith area in the tunnel during one acquisition,For any exhaust gas concentration collection position in the ith area in the tunnel,The total number of the exhaust gas concentration collecting positions in the ith area in the tunnel is，Is the ith area in the tunnel in the process of one acquisitionThe concentration of the exhaust gas at the individual locations,For the preset exhaust gas concentration in the tunnel,Is thatIs a standard value of (c).
Further, the calculating process of the total risk coefficient in the tunnel further includes:
By the formula Calculating and obtaining the total risk coefficient of the ith area in the tunnel in the process of one acquisition；
Wherein, For the accumulated water area in the ith area in the tunnel in the process of one collection,For the oil stain area in the ith area in the tunnel during one collection,For the damaged area in the ith region of the tunnel during one acquisition,For the total area of the road in the i-th zone,For the preset standard value of the wind speed,For the position influence coefficients of the accumulated water and the damaged area in the ith area in the tunnel in the one-time acquisition process,And X1 and X2 are weight coefficients for the error influence coefficient of the ith area in the tunnel in the process of one acquisition.
Further, the process of analyzing and comparing includes:
By combining the total risk factors of all areas in the tunnel during one acquisition Respectively with the preset threshold value of the total risk coefficient in the tunnelComparing;
If any one of The system judges that the total risk coefficient of the area in the tunnel is high, namely that the running safety index in the tunnel is low, potential safety hazards exist, and an early warning module gives early warning and adjusts the safe running speed of running in the tunnel;
Otherwise, the system judges that the total risk coefficient of all areas in the tunnel is low, namely the running safety index in the tunnel is high, the potential safety hazard does not exist, and early warning is not needed.
Further, the process of adjusting the safe driving speed of the driving in the tunnel comprises the following steps:
By the formula Calculating to obtain fluctuation value of total risk coefficient in tunnel；
Wherein, Is thatIs used for the average value of (a),Is a coefficient of proportionality and is used for the control of the power supply,Is thatIs the maximum value of (2);
by fluctuating values of total risk coefficients in tunnels Fluctuation value threshold value of total risk coefficient in tunnel with presetComparing;
If it is The system judges that the total risk coefficient in the tunnel has small discrete degree, which indicates that the tunnel has no extreme risk condition and does not need to do additional early warning;
If it is The system judges that the total risk coefficient in the tunnel has large discrete degree, which indicates that extreme risk conditions possibly exist in the tunnel, and needs to make additional early warning through an early warning module and adjust the safe driving speed of the driving in the tunnel.
Further, the process of adjusting the safe driving speed of the driving in the tunnel further includes:
By the formula Calculating to obtain the safe driving speed of the driving in the adjusted tunnel；
Wherein, Is the preset highest speed limit of the travelling crane in the tunnel,To adjust the coefficient comparison table function;
And the electronic warning board in the early warning module warns the regulated safe driving speed of the driving in the tunnel.
Further, the monitoring process of the expressway tunnel environment safety monitoring system comprises the following steps:
s1: dividing the expressway tunnel into a plurality of areas through an area dividing module;
S2: collecting road information data in the expressway tunnel through an image information collecting module;
s3: the method comprises the steps of collecting environmental information data in a highway tunnel through an environmental information collecting module;
s4: calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel through the data processing module:
s5: comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel through an analysis comparison module, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of driving in the tunnel;
s6: and determining whether to send out an early warning or not through the early warning module according to the comparison result, and warning the adjusted safe driving speed of the driving in the tunnel.
The invention has the beneficial effects that:
(1) According to the invention, the total risk coefficient in the tunnel is calculated through the data processing module, and the total risk coefficient in the tunnel is compared with the preset total risk coefficient threshold value in the tunnel through the analysis comparison module, so that the height of the running safety index in the tunnel can be accurately judged, when the running safety index in the tunnel is judged to be lower, the safety running speed of the running in the tunnel is firstly adjusted according to the total risk coefficient in the tunnel, and then the adjusted safety running speed of the running in the tunnel and the early warning information are synchronized in the electronic warning board through the early warning module, so that the real-time monitoring of the tunnel safety can be realized, the suggestion of effectively reducing the running risk can be synchronously provided for running vehicles, and the running safety in the tunnel is ensured.
(2) The method and the system can improve the accuracy of calculating the total risk value of the environmental safety in the tunnel by fusing the diversified data, thereby ensuring the accuracy of the monitoring result of the environmental safety of the expressway tunnel, enabling the follow-up early-warning module to perform optimal and most reasonable early warning and ensuring the driving safety in the tunnel.
(3) The invention uses the total risk coefficient of all areas in the tunnel in one collection processRespectively with the preset threshold value of the total risk coefficient in the tunnelThe method comprises the steps of comparing, accurately judging the level of the environmental safety index in the expressway tunnel, further judging the running safety index, and if the environmental safety index is low and the running safety index is low, firstly making an early warning through an early warning module, adjusting the safe running speed of the running in the tunnel according to the total risk coefficient in the tunnel, and then synchronizing the adjusted safe running speed of the running in the tunnel with the early warning information in an electronic warning board through the early warning module, so that the real-time monitoring of the tunnel safety can be achieved, and the suggestion of effectively reducing the running risk can be synchronously provided for running vehicles, and the running safety in the tunnel is ensured.
(4) The invention uses the fluctuation value of the total risk coefficient in the tunnelFluctuation value threshold value of total risk coefficient in tunnel with presetThe system has the advantages that the system can play a role in quantifying the risk dispersion degree, so that the system is helped to know the fluctuation and the dispersion of risk data, the risk distribution condition is mastered more accurately, when the extreme risk condition possibly exists in a tunnel is judged, additional early warning is made through the early warning module, the safe driving speed of driving in the tunnel is regulated, the accuracy of driving safety early warning is improved, the follow-up early warning module can make optimal and most reasonable early warning, and the driving safety in the tunnel is ensured.
(5) According to the invention, through monitoring the environmental safety of the expressway tunnel, the influence of the total risk value in the tunnel and the fluctuation value of the total risk coefficient in the tunnel on the running can be obtained, and the safe running speed of the running in the tunnel is regulated in real time, so that advice for effectively reducing the running risk is provided for the running vehicle, the running safety in the tunnel is ensured, the situation that the potential safety hazard is increased in the running process due to the too high running speed in the tunnel is avoided, and the running safety and the personnel safety on the vehicle are ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of an expressway tunnel environment safety monitoring system according to the present invention;
FIG. 2 is a flow chart of a monitoring process of the highway tunnel environmental safety monitoring system 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, the present application provides a highway tunnel environment safety monitoring system, comprising:
the regional division module is used for dividing the expressway tunnel into a plurality of regions;
the image information acquisition module is used for acquiring road information data in the expressway tunnel;
the environment information acquisition module is used for acquiring environment information data in the expressway tunnel;
The data processing module is used for calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel;
the analysis comparison module is used for comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of the driving in the tunnel;
The early warning module comprises electronic warning boards, wherein the electronic warning boards are arranged at the entrance of the expressway tunnel, are provided with a plurality of groups and are used for determining whether to send out early warning according to the comparison result and warning the adjusted safe driving speed of the driving in the tunnel;
According to the technical scheme, the regional division module is provided, the expressway tunnel is divided into a plurality of regions, road information data and environment information data in the expressway tunnel are collected through the image information collection module and the environment information collection module, then the total risk coefficient in the tunnel is calculated through the data processing module according to the road information data and the environment information data in the expressway tunnel, the total risk coefficient in the tunnel is compared with a preset total risk coefficient threshold value in the tunnel through the analysis comparison module, the driving safety index in the tunnel is judged according to the comparison result, if the driving safety index in the tunnel is judged to be higher, early warning is not performed, if the driving safety index in the tunnel is judged to be lower, early warning is sent through the early warning module, the safe driving speed of the driving in the tunnel is adjusted, and the adjusted safe driving speed of the driving in the tunnel and the early warning information are synchronized in the electronic warning board;
Through the arrangement, the system calculates the total risk coefficient in the tunnel through the data processing module, and compares the total risk coefficient in the tunnel with the preset total risk coefficient threshold value in the tunnel through the analysis comparison module, so that the height of the traffic safety index in the tunnel can be accurately judged, and when the traffic safety index in the tunnel is judged to be lower, the safe running speed of the traffic in the tunnel is firstly adjusted according to the total risk coefficient in the tunnel, and then the adjusted safe running speed of the traffic in the tunnel is synchronized with the early warning information in the electronic warning board through the early warning module, so that the real-time monitoring of the tunnel safety can be achieved, the suggestion of effectively reducing the traffic risk can be synchronously provided for the running vehicle, and the traffic safety in the tunnel is ensured.
The image information acquisition module comprises a camera unit and a recognition unit, and is used for shooting road image information in the expressway tunnel, extracting information data in the road image through the recognition unit, wherein the image information acquisition module comprises a ponding area, an oil pollution area and a damage area on a road in the expressway tunnel;
The information collected by the environment information collection module comprises illumination intensity in a tunnel, illumination intensity outside the tunnel, waste gas concentration, wind speed and smoke dust concentration;
Through the technical scheme, the accumulated water area, the greasy dirt area and the damaged area on the road in the expressway tunnel, which are acquired by the image information acquisition module, can be used as basic parameters for influencing the road risk in the tunnel, and the environment information acquisition module acquires the illumination intensity, the external illumination intensity, the waste gas concentration, the wind speed and the smoke dust concentration in the tunnel and can be used as basic parameters for influencing the environment risk in the tunnel.
The calculation process of the total risk coefficient in the tunnel comprises the following steps:
By the formula Calculating and obtaining environmental influence risk coefficient of ith area in tunnel in one acquisition process；
Wherein, In the case of any one of the regions,Is the total number of divided areas, and，For the illumination intensity outside the tunnel in the one-time acquisition process,For the illumination intensity in the ith region in the tunnel during one acquisition,For the concentration of smoke in the ith zone of the tunnel during one acquisition,Is a preset standard value of the smoke concentration,For the wind speed influence coefficient in the ith area in the tunnel in the one-time acquisition process, the wind speed influence coefficient can be set by test fitting according to the influence of the wind speed on the environmental influence risk coefficient,For any exhaust gas concentration collection position in the ith area in the tunnel,The total number of the exhaust gas concentration collecting positions in the ith area in the tunnel is，Is the ith area in the tunnel in the process of one acquisitionThe concentration of the exhaust gas at the individual locations,For the preset exhaust gas concentration in the tunnel,Is thatThe standard value can be set according to the allowable deviation fitting in the experience data;
through the technical scheme, the implementation provides the environmental influence risk coefficient of the ith area in the tunnel in the one-time acquisition process Can be calculated by the formulaThe calculation shows that when the illumination intensity in the ith area in the tunnel is lower and the smoke concentration and the exhaust gas concentration are higher, the environmental influence risk coefficient in the ith area is higher, which means that the environmental safety index in the tunnel is lower at the moment, the driving safety is influenced, otherwise, when the illumination intensity in the ith area in the tunnel is higher and the smoke concentration and the exhaust gas concentration are lower, the environmental influence risk coefficient in the ith area is lower, which means that the environmental safety index in the tunnel is higher at the moment, and the driving safety is not influenced;
Through such setting, can be according to the size of the environmental impact risk coefficient of the regional i in the tunnel of collection in-process, make preliminary judgement to the height of the traffic safety index in the tunnel to this data can provide the reference for the total risk coefficient in the follow-up calculation tunnel, thereby realize combining the multiple data to calculate the total risk coefficient in the tunnel, improve the accuracy of calculation result, thereby improve the accuracy to highway tunnel environmental safety monitoring result, and guarantee that follow-up early warning module can make the most reasonable early warning of optimizing.
The calculation process of the total risk coefficient in the tunnel further comprises the following steps:
By the formula Calculating and obtaining the total risk coefficient of the ith area in the tunnel in the process of one acquisition；
Wherein, For the accumulated water area in the ith area in the tunnel in the process of one collection,For the oil stain area in the ith area in the tunnel during one collection,For the damaged area in the ith region of the tunnel during one acquisition,For the total area of the road in the i-th zone,For the position influence coefficients of the accumulated water and the damaged area in the ith area in the tunnel in the one-time acquisition process, the position influence coefficients can be set according to experience fitting,For the error influence coefficient of the ith area in the tunnel in the one-time acquisition process, the weight coefficient can be set according to experience fit, and X1 and X2 are weight coefficients which can be set according to allowable error fit in experience data;
through the technical scheme, the embodiment provides the total risk coefficient of the ith area in the tunnel in the one-time acquisition process Can be calculated by the formulaThe calculation shows that when the accumulated water area, the greasy dirt area and the damaged area of the road in the ith area in the tunnel are larger, the total risk coefficient of the ith area in the tunnel is larger, otherwise, when the accumulated water area, the greasy dirt area and the damaged area of the road in the ith area in the tunnel are smaller, the total risk coefficient of the ith area in the tunnel is smaller; through the arrangement, after the road data information and the environmental influence risk coefficient of the ith area in the tunnel are fused, the total risk coefficient of the ith area in the tunnel can be accurately calculated, so that accurate data are provided for the environment safety index and the driving safety index in the tunnel, and through multiple data acquisition, the real-time monitoring of the environment safety of the expressway tunnel can be realized, and the accuracy of monitoring results is ensured.
The process of analysis and comparison comprises the following steps:
By combining the total risk factors of all areas in the tunnel during one acquisition Respectively with the preset threshold value of the total risk coefficient in the tunnelComparing;
If any one of The system judges that the total risk coefficient of the area in the tunnel is high, namely that the running safety index in the tunnel is low, potential safety hazards exist, and an early warning module gives early warning and adjusts the safe running speed of running in the tunnel;
Otherwise, the system judges that the total risk coefficient of all areas in the tunnel is low, namely the running safety index in the tunnel is high, the potential safety hazard does not exist, and early warning is not needed;
through the technical scheme, the implementation method comprises the steps of collecting the total risk coefficient of all areas in the tunnel in one acquisition process Respectively with the preset threshold value of the total risk coefficient in the tunnelComparing; if any one ofThe system judges that the total risk coefficient of the area in the tunnel is high, namely that the environment safety in the tunnel is low and the driving safety index is low, potential safety hazards exist, and an early warning module gives early warning and adjusts the safe driving speed of driving in the tunnel; otherwise, the system judges that the total risk coefficient of all areas in the tunnel is low, namely the running safety index in the tunnel is high, the potential safety hazard does not exist, and early warning is not needed;
Through such setting, can accurately judge the height of the interior environmental safety index of highway tunnel to further judge the index of driving safety, if judge that environmental safety is low and driving safety index is low, then need at first make the early warning through the early warning module, and the safe speed of traveling of driving in the adjustment tunnel according to the total risk factor in the tunnel, then through the safe speed of traveling in the tunnel after the early warning module will adjust with early warning information synchronization in the electronic warning sign, not only can play the real-time supervision to tunnel safety, and can provide the suggestion that reduces the driving risk effectively to the driving vehicle in step, the driving safety in the assurance tunnel.
The process for adjusting the safe driving speed of the driving in the tunnel comprises the following steps:
By the formula Calculating to obtain fluctuation value of total risk coefficient in tunnel；
Wherein, Is thatIs used for the average value of (a),Is a coefficient of proportionality and is used for the control of the power supply,Is thatIs the maximum value of (2);
by fluctuating values of total risk coefficients in tunnels Fluctuation value threshold value of total risk coefficient in tunnel with presetComparing;
If it is The system judges that the total risk coefficient in the tunnel has small discrete degree, which indicates that the tunnel has no extreme risk condition and does not need to do additional early warning;
If it is The system judges that the total risk coefficient in the tunnel has large discrete degree, which indicates that extreme risk conditions possibly exist in the tunnel, and needs to make additional early warning through an early warning module and adjust the safe driving speed of the driving in the tunnel;
Through the technical scheme, the embodiment provides the fluctuation value of the total risk coefficient in the tunnel Can be calculated by the formulaCalculated and obtained, and then obtained by fluctuation value of total risk coefficient in tunnelFluctuation value threshold value of total risk coefficient in tunnel with presetComparing; if it isThe system judges that the total risk coefficient in the tunnel has small discrete degree, which indicates that the tunnel has no extreme risk condition and does not need to do additional early warning; if it isThe system judges that the total risk coefficient in the tunnel has large discrete degree, which indicates that extreme risk conditions possibly exist in the tunnel, and needs to make additional early warning through an early warning module and adjust the safe driving speed of the driving in the tunnel;
Through such setting, can play the effect of quantification risk dispersion degree to help this system to know the volatility and the dispersibility of risk data, thereby grasp the distribution situation of risk more accurately, and when judging probably having extreme risk condition in the tunnel, make extra early warning through early warning module, and adjust the safe speed of traveling of driving in the tunnel, thereby improve the accuracy of driving safety early warning, make follow-up early warning module can make the most reasonable early warning of optimizing, guarantee the driving safety in the tunnel.
The process for adjusting the safe driving speed of the driving in the tunnel further comprises the following steps:
By the formula Calculating to obtain the safe driving speed of the driving in the adjusted tunnel；
Wherein, Is the preset highest speed limit of the travelling crane in the tunnel,To adjust the coefficient lookup table function, the coefficient lookup table function can be adjusted according toThe influence of the numerical value of (2) on the safe driving speed of the driving in the tunnel is obtained based on the test;
the electronic warning board in the early warning module warns the adjusted safe driving speed of the driving in the tunnel;
through the technical scheme, the embodiment provides the adjusted safe driving speed of the driving in the tunnel Can be calculated by the formulaThrough the arrangement, the system can obtain the influence of the total risk value in the tunnel and the fluctuation value of the total risk coefficient in the tunnel on the running through the monitoring of the environmental safety of the expressway tunnel, and adjust the safe running speed of the running in the tunnel in real time, so that the suggestion of effectively reducing the running risk is provided for the running vehicle, the running safety in the tunnel is ensured, the situation that the potential safety hazard is increased in the running process is avoided due to the too high running speed in the tunnel, and the running safety and the personnel safety on the vehicle are ensured.
Referring to fig. 2, the monitoring process of the expressway tunnel environment safety monitoring system includes:
s1: dividing the expressway tunnel into a plurality of areas through an area dividing module;
S2: collecting road information data in the expressway tunnel through an image information collecting module;
s3: the method comprises the steps of collecting environmental information data in a highway tunnel through an environmental information collecting module;
s4: calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel through the data processing module:
s5: comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel through an analysis comparison module, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of driving in the tunnel;
s6: determining whether to send out an early warning or not through an early warning module according to the comparison result, and warning the adjusted safe driving speed of the driving in the tunnel;
According to the technical scheme, when the system is applied, the expressway tunnel is divided into a plurality of areas through the area dividing module, road information data in the expressway tunnel are collected through the image information collecting module, environment information data in the expressway tunnel are collected through the environment information collecting module, after the data collection is completed, the total risk coefficient in the tunnel is calculated through the data processing module according to the road information data in the expressway tunnel and the environment information data, the total risk coefficient in the tunnel is compared with the preset total risk coefficient threshold value in the tunnel through the analysis and comparison module, the running safety index in the tunnel is judged according to the comparison result, when the running safety index in the tunnel is lower, the running safety speed of the running in the tunnel is adjusted according to the total risk coefficient in the tunnel, and then the adjusted running safety speed of the running in the tunnel is synchronized with the early warning information in the electronic warning board through the early warning module;
through the arrangement, the real-time monitoring of the safety of the tunnel can be achieved, suggestions for effectively reducing the running risk can be synchronously provided for running vehicles, and the running safety in the tunnel is ensured.
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 (5)
1. A highway tunnel environmental safety monitoring system, the system comprising:
the regional division module is used for dividing the expressway tunnel into a plurality of regions;
the image information acquisition module is used for acquiring road information data in the expressway tunnel;
the environment information acquisition module is used for acquiring environment information data in the expressway tunnel;
The data processing module is used for calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel;
the analysis comparison module is used for comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of the driving in the tunnel;
The early warning module comprises electronic warning boards, wherein the electronic warning boards are arranged at the entrance of the expressway tunnel, are provided with a plurality of groups and are used for determining whether to send out early warning according to the comparison result and warning the adjusted safe driving speed of the driving in the tunnel;
The calculation process of the total risk coefficient in the tunnel comprises the following steps:
By the formula Calculating and obtaining environmental influence risk coefficient of ith area in tunnel in one acquisition process
Wherein i is any one area, n is the total number of divided areas, i epsilon [1, n ], SWG is the illumination intensity outside the tunnel in the primary collection process, SNG i is the illumination intensity in the ith area in the tunnel in the primary collection process, YC i is the smoke concentration in the ith area in the tunnel in the primary collection process, YC 0 is a preset smoke concentration standard value, beta i is the wind speed influence coefficient in the ith area in the tunnel in the primary collection process, a is any one exhaust concentration collection position in the ith area in the tunnel, m is the total number of exhaust concentration collection positions in the ith area in the tunnel, a epsilon [1, m ], FQ a is the exhaust concentration in the ith area in the tunnel in the primary collection process, FQ 0 is the preset exhaust concentration in the tunnel, and FQ 1 is the standard value of FQ a;
The image information acquisition module comprises a camera unit and a recognition unit, and is used for shooting road image information in the expressway tunnel, extracting information data in the road image through the recognition unit, wherein the image information acquisition module comprises a ponding area, an oil pollution area and a damage area on a road in the expressway tunnel;
The information collected by the environment information collection module comprises illumination intensity in a tunnel, illumination intensity outside the tunnel, waste gas concentration, wind speed and smoke dust concentration;
the calculation process of the total risk coefficient in the tunnel further comprises the following steps:
By the formula Calculating and obtaining the total risk coefficient of the ith area in the tunnel in the process of one acquisition
Wherein JS i is the water accumulation area in the ith area in the tunnel in the one-time acquisition process, FS i is the oil stain area in the ith area in the tunnel in the one-time acquisition process, SH i is the damage area in the ith area in the tunnel in the one-time acquisition process, ZMG i is the total road area in the ith area, FS 1 is the preset standard wind speed value,For the position influence coefficients of accumulated water and damaged areas in the ith area in the tunnel in the one-time acquisition process, τ i is the error influence coefficient of the ith area in the tunnel in the one-time acquisition process, and X1 and X2 are weight coefficients.
2. The highway tunnel environmental safety monitoring system according to claim 1, wherein the process of analyzing and comparing comprises:
By combining the total risk factors of all areas in the tunnel during one acquisition Respectively with the preset threshold value of the total risk coefficient in the tunnelComparing;
If any one of The system judges that the total risk coefficient of the area in the tunnel is high, namely that the running safety index in the tunnel is low, potential safety hazards exist, and an early warning module gives early warning and adjusts the safe running speed of running in the tunnel;
Otherwise, the system judges that the total risk coefficient of all areas in the tunnel is low, namely the running safety index in the tunnel is high, the potential safety hazard does not exist, and early warning is not needed.
3. The system for monitoring the environmental safety of a highway tunnel according to claim 2, wherein said adjusting the safe driving speed of the traveling vehicles in the tunnel comprises:
By the formula Calculating to obtain a fluctuation value A of the total risk coefficient in the tunnel;
Wherein, Is thatG is the scaling factor,Is thatIs the maximum value of (2);
Comparing the fluctuation value A of the total risk coefficient in the tunnel with a preset fluctuation value threshold A x of the total risk coefficient in the tunnel;
If A < A x, the system judges that the degree of dispersion of the total risk coefficient in the tunnel is small, which indicates that the extreme risk condition does not exist in the tunnel, and no additional early warning is needed;
If A > A x, the system judges that the degree of dispersion of the total risk coefficient in the tunnel is large, which indicates that the extreme risk condition possibly exists in the tunnel, and an additional early warning is needed to be made through an early warning module, and the safe driving speed of the driving in the tunnel is adjusted.
4. A highway tunnel environmental safety monitoring system according to claim 3, wherein said adjusting the safe driving speed of the traveling vehicles in the tunnel further comprises:
By the formula Calculating and obtaining the safe driving speed r of the driving in the adjusted tunnel;
Wherein r x is the highest speed limit of the traveling crane in the preset tunnel, and f c is an adjustment coefficient comparison table function;
And the electronic warning board in the early warning module warns the regulated safe driving speed of the driving in the tunnel.
5. The highway tunnel environment safety monitoring system according to claim 1, wherein the monitoring process of the highway tunnel environment safety monitoring system comprises:
s1: dividing the expressway tunnel into a plurality of areas through an area dividing module;
S2: collecting road information data in the expressway tunnel through an image information collecting module;
s3: the method comprises the steps of collecting environmental information data in a highway tunnel through an environmental information collecting module;
s4: calculating the total risk coefficient in the tunnel according to the road information data and the environment information data in the expressway tunnel through the data processing module:
s5: comparing the total risk coefficient in the tunnel with a preset total risk coefficient threshold value in the tunnel through an analysis comparison module, judging a driving safety index in the tunnel according to the comparison result, and adjusting the safe driving speed of driving in the tunnel;
s6: and determining whether to send out an early warning or not through the early warning module according to the comparison result, and warning the adjusted safe driving speed of the driving in the tunnel.
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| CN108376473A (en) * | 2018-04-28 | 2018-08-07 | 招商局重庆交通科研设计院有限公司 | Roads and tunnels traffic Warning System based on vehicle operational monitoring |
| CN115148024A (en) * | 2022-06-23 | 2022-10-04 | 广州国交润万交通信息有限公司 | Novel tunnel safety monitoring method and system |
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| CN117612387B (en) * | 2023-11-27 | 2024-06-18 | 浙江盛暄电力科技有限公司 | Intelligent tunnel and pipe gallery comprehensive monitoring system and monitoring method |
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| CN108376473A (en) * | 2018-04-28 | 2018-08-07 | 招商局重庆交通科研设计院有限公司 | Roads and tunnels traffic Warning System based on vehicle operational monitoring |
| CN115148024A (en) * | 2022-06-23 | 2022-10-04 | 广州国交润万交通信息有限公司 | Novel tunnel safety monitoring method and system |
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