Early warning method and device for tunnel ponding, computer equipment and storage medium

Abstract

The invention relates to a tunnel ponding early warning method and device, computer equipment and a storage medium. The method comprises the steps that at least two first flow detection units are arranged at an inlet and an outlet of a tunnel, at least one second flow detection unit is arranged at a water outlet of the tunnel, local water accumulation threshold values of a plurality of water accumulation sensitive areas are determined based on historical water accumulation data, and the local water accumulation threshold values are arranged according to the threshold values to obtain a threshold value distribution sequence; dividing the threshold distribution sequence into a first sequence and a second sequence based on a preset proportion, and determining a first global threshold by a local ponding threshold at the boundary of the first sequence and the second sequence; calculating the inlet and outlet flow difference according to the first flow data and the second flow data, and further determining the water accumulation amount; and adjusting a second global threshold value according to the ponding risk index, and starting a corresponding risk early warning strategy when the ponding amount exceeds the first global threshold value or the second global threshold value. Low-cost and high-precision tunnel ponding monitoring is realized based on simplified sensing data, and the safety of tunnel passage is improved.

Description

Technical Field

[0001] The present invention relates to the field of tunnel management, and in particular to an early warning method and device for water accumulation in a tunnel, computer equipment and storage medium. Background Art

[0002] In recent years, global climate change has intensified, and extreme weather events have occurred frequently, bringing severe tests to urban infrastructure. As a key channel connecting various areas of the city, the safety and smooth operation of tunnels are of vital importance. Although modern tunnels have fully considered waterproofing and drainage measures during design and construction, water accumulation is still common under extreme conditions such as heavy rains and floods, becoming a major challenge affecting the safety and functionality of tunnels. Water accumulation not only damages infrastructure, but also poses a potential threat to passing vehicles and pedestrians. Especially in extreme weather, water accumulation in tunnels may deteriorate rapidly, increasing the risk of traffic accidents and hindering emergency response. Therefore, improving the monitoring and management capabilities of tunnel water accumulation and ensuring its reliable operation under severe weather conditions has become an urgent task in urban planning and emergency management.

[0003] In order to effectively deal with the problem of tunnel waterlogging, existing technologies are constantly exploring and improving relevant technologies and management methods. For example, by laying high-precision sensor networks in tunnels to improve the accuracy and timeliness of monitoring and warning of tunnel waterlogging.

[0004] For example, the Chinese invention patent with application publication number CN118481742A discloses an Internet-based intelligent tunnel traffic anti-waterlogging monitoring method and device, the method includes obtaining tunnel sensor data and weather forecast data in real time based on a tunnel multidimensional data model, the tunnel multidimensional data model includes a waterlogging weight threshold; adjusting the weather forecast data to obtain adaptive weather forecast data so that the weather forecast area corresponds to the sensor monitoring range; obtaining a waterlogging prediction weight value based on the adaptive weather forecast data and the tunnel sensor data; and monitoring tunnel waterlogging based on the waterlogging prediction weight value and the waterlogging weight threshold. Among them, the sensors include an electronic water gauge and a rain gauge for monitoring the tunnel water level, an ultrasonic sensor and a crack meter for monitoring the cracks in the tunnel lining, a video monitoring device for monitoring the traffic in the tunnel, a temperature and humidity sensor for monitoring the temperature and humidity of the tunnel, a vibration sensor for monitoring the vibration of the tunnel and the underground structure, a wind speed sensor for monitoring the wind speed in the tunnel, a pressure sensor for monitoring the stress of the tunnel lining and the pressure of the pipeline and equipment, and a chemical sensor for monitoring the soil quality of the tunnel.

[0005] For another example, the Chinese invention patent with application publication number CN115327673A discloses a tunnel road surface waterlogging monitoring prediction and early warning system, method, storage medium and device. The system includes a processor, a rainfall detection unit for detecting rainfall, a surface runoff flow detection unit for detecting the surface runoff flow entering the tunnel, a road surface waterlogging depth detection unit for detecting the depth of waterlogging in the tunnel, a communication unit, a positioning unit for locating the position of the monitoring point, a dynamic information board for publishing and displaying early warning information, and a lane controller for reminding the closure of the tunnel to control the vehicles entering the tunnel; the processor monitors and predicts the tunnel road surface waterlogging situation based on a deep learning algorithm by integrating the rainfall detection data, road surface waterlogging depth data and surface runoff flow data of the monitoring point, and generates intervention early warning information or danger warning information.

[0006] However, the high deployment cost, strict installation accuracy requirements and continuous maintenance needs of high-precision sensor networks make it difficult to promote them on a large scale in practical applications and their practicality is low. Summary of the invention

[0007] The main purpose of the present invention is to provide a tunnel waterlogging early warning method and device, computer equipment and storage medium.

[0008] The present invention specifically adopts the following technical solutions: A first aspect of the present invention is to provide an early warning method for water accumulation in a tunnel, wherein at least two first flow detection units are provided at the entrance and exit of the tunnel, and at least one second flow detection unit is provided at the drainage outlet of the tunnel, and the method comprises: S101: determining a plurality of waterlogging-sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging-sensitive area based on historical waterlogging data; S102: sorting the plurality of local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; dividing the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determining a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; S103: obtaining first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; calculating an inlet and outlet flow difference according to the first flow data and the second flow data, and determining the amount of accumulated water according to the inlet and outlet flow difference; S104: monitoring a waterlogging risk index in real time, and adjusting a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; S105: When the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold, a corresponding risk warning strategy is activated.

[0009] In some embodiments, the historical waterlogging data includes a tunnel monitoring image and a historical waterlogging amount when the tunnel is flooded, and the tunnel monitoring image is associated with a passing timestamp of the historical waterlogging amount; the S101 includes: based on a preset waterlogging identification model, identifying a first risk image of water overflowing from the waterlogging sensitive area according to the tunnel monitoring image, and / or a second risk image of waterlogging in the waterlogging sensitive area and waterlogging in an adjacent waterlogging sensitive area converging to form a waterlogging belt; obtaining the waterlogging amount corresponding to the timestamp of the first risk image and / or the second risk image as a local waterlogging threshold of the waterlogging sensitive area.

[0010] In some embodiments, before S104, it also includes: acquiring the historical waterlogging data, the historical waterlogging data including historical waterlogging volume, historical environmental climate, and historical associated water conditions associated by timestamps; training an initial waterlogging risk model according to the historical waterlogging volume, the historical environmental climate, and the historical associated water conditions, and obtaining a preset waterlogging risk model through training, wherein the preset waterlogging risk model is used to predict the probability of waterlogging according to different associated water condition data and / or different environmental climate data.

[0011] In some embodiments, the S104 includes: inputting the associated water condition data and / or the environmental climate data into the preset waterlogging risk model to obtain the waterlogging probability; when the waterlogging probability is greater than a first probability threshold, lowering the second global threshold by a first preset value; when the waterlogging probability is less than a second probability threshold, raising the second global threshold by a second preset threshold.

[0012] In some embodiments, S105 includes: when the amount of accumulated water is greater than the first global threshold, generating and pushing a slippery road signal; and / or calculating the number of enabled backup drainage facilities based on the inlet and outlet flow difference, and enabling a corresponding number of backup drainage facilities.

[0013] In some embodiments, S105 includes: when the amount of water accumulation is greater than the second global threshold, generating and pushing a road speed limit signal; and / or obtaining the locations of several of the water accumulation sensitive areas; based on the locations of the several water accumulation sensitive areas, determining a high-risk lane where the water accumulation sensitive areas are densely distributed, and generating and pushing a partial closure signal based on the high-risk lane.

[0014] In some embodiments, S105 includes: when the amount of water accumulation is greater than a second global threshold, monitoring the inlet and outlet flow difference; if the inlet and outlet flow difference continues to be greater than a third global threshold within a preset time period, generating and pushing a water accumulation risk warning signal, and synchronizing the water accumulation warning signal to the navigation system so that the navigation system can perform traffic planning in advance.

[0015] A second aspect of the present invention is to provide an early warning device for water accumulation in a tunnel, wherein at least two first flow detection units are provided at the tunnel entrance and exit, and at least one second flow detection unit is provided at the tunnel drainage outlet, and the device comprises: A local waterlogging threshold module, used to determine a number of waterlogging sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging sensitive area based on historical waterlogging data; A first global threshold module is used to sort the local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; divide the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determine a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; A water accumulation monitoring module, used to obtain first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; calculate the inlet and outlet flow difference according to the first flow data and the second flow data, and determine the water accumulation amount according to the inlet and outlet flow difference; A second global threshold module is used to monitor the waterlogging risk index in real time, and adjust a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; The risk warning strategy module is used to enable the corresponding risk warning strategy when the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold.

[0016] A third aspect of the present invention is to provide a computer device, the computer device comprising a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the steps of the tunnel water accumulation early warning method provided by any embodiment of the present invention when executing the computer program.

[0017] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor performs the steps of the tunnel water accumulation warning method provided in any embodiment of the present invention.

[0018] Beneficial technical effects: The present invention proposes a low-cost, high-precision multi-threshold graded early warning method for tunnel waterlogging based on simplified sensor data. By streamlining sensor deployment, the initial investment and long-term operating costs are greatly reduced, allowing more regions and tunnels to benefit from advanced waterlogging early warning technology. At the same time, using the simple but effective indicator of the inlet and outlet flow difference, combined with historical data and real-time monitoring, a high-precision prediction of the amount of waterlogging and the trend of waterlogging from both local and global perspectives is achieved. Combined with the multi-layer threshold mechanism, the early warning strategy is flexibly determined according to different scenarios, while maximizing the utilization of the tunnel, ensuring that the most appropriate safety guarantee can be provided under various conditions.

[0019] First, it is only necessary to set up flow detection units at key locations of the tunnel (such as entrances, exits, and drains). The difference in inlet and outlet flow rates can be used to quickly and accurately determine the amount of water accumulation and its trend, significantly reducing the number, types, and wiring complexity of sensors, thereby reducing the deployment cost and maintenance requirements of sensors.

[0020] Secondly, from the perspectives of local waterlogging and overall waterlogging, a multi-layer threshold graded warning mechanism is provided. The first global threshold is used to evaluate the local waterlogging situation, while the second global threshold is used to monitor the overall waterlogging situation, thereby more flexibly and accurately reflecting the actual waterlogging status inside the tunnel, and grading the early warning strategy accordingly, which can not only take gentle reminders and rapid treatment in the case of mild local waterlogging with a small volume, but also implement strict control and compulsory measures in the case of moderate overall waterlogging with a large volume. This differentiated treatment improves the flexibility, adaptability, accuracy and efficiency of tunnel waterlogging monitoring and early warning, and takes the most appropriate response measures under different risk conditions to maximize the safe passage of people and vehicles in the tunnel.

[0021] For small-volume mild local waterlogging, the waterlogging sensitive areas in the tunnel and their corresponding local waterlogging thresholds are determined based on historical waterlogging data. Waterlogging sensitive areas can be areas prone to waterlogging (such as depressions, structural joints and cracks), key areas (such as tunnel entrances and exits, drainage systems and pumping stations, emergency evacuation exits), etc., and then the local waterlogging conditions of various sections inside the tunnel are quickly inferred based on the total amount of waterlogging. Then, based on the first global threshold corresponding to the local waterlogging conditions, monitor whether a waterlogging zone has formed or is about to form inside the tunnel. Through the amount of waterlogging, local waterlogging threshold, and first global threshold, all-round waterlogging monitoring from global to local and then to global is achieved, making full use of existing resources and taking into account the accurate monitoring of local and global waterlogging conditions at a low cost.

[0022] Correspondingly, when the amount of water is greater than the first global threshold, a slippery road signal is generated and pushed to warn the public to drive carefully. On this basis, a corresponding number of backup drainage facilities are activated according to the current inlet and outlet flow difference to speed up drainage efficiency, alleviate or slow down the formation of waterlogging belts and catchment areas in the tunnel, and reduce driving risks.

[0023] For moderate overall waterlogging with a large volume, the second global threshold is adjusted based on waterlogging risk indicators such as real-time environmental climate changes (such as temperature, humidity, rainfall, etc. corresponding to the weather forecast), related water situation changes (for example, waterlogging in other tunnels with the same terrain, and waterlogging in tunnels relatively downstream), so that the second global threshold is fully adapted to the current application scenario, the sensitivity and accuracy of tunnel waterlogging warning is improved, and the corresponding risk warning strategy is initiated in a timely manner.

[0024] Correspondingly, when the amount of water accumulation is greater than the second global threshold, a road speed limit signal is generated and pushed to instruct the navigation system or traffic command system to limit the driving speed to ensure safe driving in the case of overall water accumulation. At the same time, according to the coverage area of ​​the risk area, a lane with more and deeper water accumulation is closed appropriately to ensure traffic safety by partially closing the road while maintaining tunnel traffic.

[0025] Furthermore, when the amount of water accumulation is greater than the second global threshold, the growth trend of water accumulation is monitored based on the third global threshold. When the amount of water accumulation continues to increase and the growth trend is too large, a higher level of water accumulation warning signal will be generated and pushed. Further strict control measures will be implemented to guide the navigation system or traffic command system to plan traffic flow in advance, avoid using the affected tunnels as much as possible, and reduce potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale. Obviously, the drawings described below are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without paying creative labor.

[0027] Figure 1 is a schematic flow chart of a tunnel waterlogging early warning method provided by an embodiment of the present invention; Figure 2 is a schematic flow chart of another early warning method for tunnel water accumulation provided by an embodiment of the present invention; Figure 3 A schematic block diagram of an early warning device for water accumulation in a tunnel provided by an embodiment of the present invention; Figure 4 It is a schematic block diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] Herein, suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings by themselves. Therefore, "module", "component" or "unit" can be used mixedly.

[0030] In this document, the terms "upper", "lower", "inner", "outer", "front", "back", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0031] In this document, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] Herein "and / or" includes any and all combinations of one or more of the associated listed items.

[0033] Herein, "plurality" means two or more than two, ie, it includes two, three, four, five, etc.

[0034] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0035] Although using high-precision sensor networks to achieve efficient and accurate tunnel waterlogging monitoring provides detailed data support in theory, it faces many difficult-to-overcome problems in practical applications. These problems not only increase the implementation cost and complexity, but also greatly limit its wide application and practicality.

[0036] First, in order to ensure comprehensive coverage of various environmental factors inside the tunnel, multiple types of sensors must be laid. These sensors include electronic water gauges, rain gauges, ultrasonic sensors, crack meters, video surveillance devices, temperature and humidity sensors, vibration sensors, wind speed sensors, pressure sensors, and chemical sensors, each of which accurately monitors different parameters, such as water level, structural health, traffic flow, environmental conditions, and soil composition. However, these sensors need to be carefully selected and installed in specific locations to ensure the effectiveness and accuracy of data collection. This complex deployment process not only requires a lot of manpower and material investment, but also has extremely high requirements for construction technology and environmental conditions, resulting in extremely high initial laying costs. Secondly, the data collection accuracy of high-precision sensor networks is highly dependent on the precise installation position and angle of the sensors. Any slight deviation may lead to false alarms or missed alarms, which in turn affects the reliability of water accumulation monitoring. For example, if the water level sensor is not installed properly, it may produce erroneous readings due to water flow impact or other external factors; similarly, if the ultrasonic sensor is not properly aimed at the target area, it will not be able to accurately capture the changes in lining cracks. Moreover, even if the initial laying work is successfully completed, the long-term operation still faces the huge challenges of regular calibration and maintenance. Over time, sensors may be affected by dust, moisture, corrosion and other factors, and gradually lose accuracy. In order to maintain the accuracy of water accumulation monitoring, professionals need to be arranged to conduct regular on-site inspections, cleaning and calibration. Multiple types of sensors increase the difficulty of maintenance.

[0037] Therefore, although high-precision sensor networks provide theoretical possibilities for tunnel water monitoring, their high costs, strict installation requirements, continuous maintenance needs, and operational complexity in practical applications together constitute the main obstacles to the promotion and application of this technology.

[0038] The embodiment of the present invention proposes a low-cost, high-precision early warning method for tunnel waterlogging based on simplified sensor data. Specifically, a method for early warning of tunnel waterlogging is provided, which greatly reduces initial investment and long-term operating costs by streamlining sensor deployment, allowing more regions and tunnels to benefit from advanced waterlogging early warning technology. At the same time, by using the simple but effective indicator of the difference in inlet and outlet flow, combined with historical data and real-time monitoring, a high-precision prediction of the amount of waterlogging and the trend of waterlogging from both local and global perspectives is achieved. The double-layer threshold mechanism is then combined to flexibly adjust the warning level according to different scenarios, ensuring that the most appropriate safety protection can be provided under various conditions while maximizing tunnel utilization.

[0039] The embodiment of the present invention provides an early warning method for water accumulation in a tunnel, wherein a first flow detection unit is provided at the entrance and exit of the tunnel, and a second flow detection unit is provided at the drain outlet of the tunnel. It should be understood that it is only necessary to set up flow detection units at key locations of the tunnel (such as the entrance and exit, drain outlet), and the amount of water accumulation and the trend of water accumulation can be quickly and accurately determined by using the difference in inlet and outlet flow, which significantly reduces the number, types, and wiring complexity of sensors, thereby reducing the deployment cost and maintenance requirements of sensors.

[0040] Among them, the flow detection unit is a device used to monitor the amount of water flow passing through a specific location in the tunnel. The flow detection unit is usually composed of a sensor, a data acquisition module and a communication interface, or the flow detection unit includes a communication module such as a single-chip microcomputer, which can transmit the measured data to the data processing module in real time for analysis and processing. The flow detection unit can specifically be a turbine flowmeter, an insertion flowmeter, an ultrasonic flowmeter, an electromagnetic flowmeter, etc., which can be flexibly selected according to the topography of the tunnel and the requirements for detection accuracy. For example, an ultrasonic flowmeter uses the time difference of ultrasonic wave propagation in the fluid to measure the flow rate and then calculate the flow rate. It can be installed inside the tunnel a few meters near the tunnel entrance to ensure that all water flowing into the tunnel can be captured, while avoiding direct exposure to the external environment and being directly hit by rain.

[0041] For example, when water is poured into the tunnel entrance and exit, there will be a greater risk of water accumulation. By setting one or more first flow detection units at the tunnel entrance and exit, the water volume entering the tunnel can be monitored in real time, thereby accurately measuring the water volume entering the tunnel. Furthermore, in order to improve the comprehensiveness and accuracy of the data, multiple first flow detection units can be set at different locations of the tunnel entrance and exit for large or complex tunnels.

[0042] Exemplarily, a second flow detection unit is set at the main drainage outlet of the tunnel (such as the outlet of the pump station, underground pipeline, etc.) to monitor the actual drainage volume of the drainage system. For example, it is installed at the final discharge point of the drainage system to ensure that all water discharged from the tunnel is counted. For another example, when there are multiple drainage lines, a second flow detection unit needs to be installed on each line so that the drainage volume of each line can be counted separately. Correspondingly, a second flow detection unit can also be installed at the outlet of the equipped backup drainage facilities (such as temporary water pumps, additional drainage pipes).

[0043] Furthermore, by comparing and analyzing the flow data of the inlet and outlet and the drainage outlet, the actual amount of water accumulated in the tunnel and its changing trend can be calculated, simplifying the data collection process, accurately reflecting the water accumulation conditions in the tunnel, and providing support for the multi-layer threshold early warning mechanism for tunnel water accumulation and the highly sensitive call for backup drainage facilities.

[0044] It should be understood that the flow detection unit can better adapt to the influence of factors such as moisture, corrosive substances and vibration in the tunnel, ensure stable operation in harsh environments, and have the advantages of high precision and low maintenance requirements. For example, electromagnetic flowmeters are suitable for liquids containing solid particles or fibers, such as sewage or rainwater, and show good durability. At the same time, the flow detection unit has low requirements for location, and the installation location selection is relatively flexible. For example, the ultrasonic flowmeter can be installed on the outside of the pipeline by clamping without damaging the pipeline.

[0045] In some embodiments, flow detection units are arranged at multiple key points to form a mutually verified data network. When a flow detection unit fails, since the embodiment of the present invention only obtains the simple and effective indicator of water flow, multiple flow detection units collect the same type of data, namely flow data. By comparing the same type of data, abnormal data can be quickly identified, and the influence of erroneous data collected by the faulty unit can be accurately eliminated. Other units can continue to work, which improves the accuracy of the data and ensures the stability and continuity of water accumulation monitoring.

[0046] In some embodiments, historical waterlogging data of the tunnel is obtained. Historical waterlogging data is data related to waterlogging events that occurred in the past, that is, all relevant information about waterlogging in the current tunnel or similar underground structures over a period of time in the past is recorded. By integrating all relevant information through timestamps, a waterlogging event database containing detailed historical waterlogging data can be constructed, which is conducive to systematically analyzing the relationship between various types of data and waterlogging volume. It not only supports post-analysis, but can also be used to train machine learning models to achieve prediction and early warning of future waterlogging events, thereby improving the safety and traffic capacity of tunnels.

[0047] Specifically, historical waterlogging data may include tunnel monitoring images associated by timestamps, historical waterlogging volume, historical environmental climate, historical associated water conditions, infrastructure status, and records of areas prone to waterlogging.

[0048] Tunnel monitoring images are used to record the real-time situation in the tunnel during the period of waterlogging, which can visually show the occurrence, development and disappearance of waterlogging. Tunnel monitoring images can be dynamic videos or static photos. Based on the images at key time points, the specific conditions of waterlogging can be understood, such as water level, water flow direction and affected areas.

[0049] The historical water volume can be the depth of water recorded by electronic water gauges, flow detection units and other equipment, or the total amount of water accumulated in a certain period of time, which is used to obtain water level changes at different time points and analyze the trend of water accumulation over a long period of time. Correspondingly, the historical local water volume can be the location and amount of water accumulation that often occurs during daily inspections or when waterlogging occurs in tunnels.

[0050] Among them, historical environmental climate includes environmental conditions and weather conditions. For example, for areas close to rivers or with abundant groundwater, changes in groundwater levels will affect water accumulation in tunnels. For example, meteorological data such as rainfall, snowfall, temperature, humidity, wind speed, and wind direction can help to correlate water accumulation with extreme weather.

[0051] Among them, the historically correlated water conditions can be upstream water conditions, water accumulation in adjacent areas, water accumulation in tunnels with the same water level, etc. It should be understood that the inflow from rivers, reservoirs or other water sources can directly affect the water accumulation in tunnels, and the water accumulation in surrounding roads, buildings, etc. may also indirectly affect the water accumulation inside the tunnel. The water accumulation in more closely related areas (such as other tunnels with the same terrain, relatively downstream tunnels) may indirectly indicate the risk of water accumulation in the tunnel.

[0052] Among them, the infrastructure status includes infrastructure distribution, drainage system efficiency and tunnel structural health, such as the working status of the pump station, the patency of the drainage pipes, etc.; for example, whether there are cracks or leakages in the tunnel lining, and other structural problems that may affect water accumulation.

[0053] Among them, the records of areas prone to waterlogging include the location and amount of waterlogging in the areas prone to waterlogging. Specifically, it can be the location and amount of waterlogging that often occurs when waterlogging occurs in the tunnel; it can also be the location and amount of waterlogging in the areas prone to waterlogging recorded in past maintenance records and inspection reports; it can also be the areas prone to waterlogging and the amount of waterlogging that are predetermined during the tunnel design and construction phases by analyzing the terrain, geological conditions and drainage system layout.

[0054] See also Figure 1 to Figure 2 , Figure 1 is a schematic flow chart of a tunnel waterlogging early warning method provided by an embodiment of the present invention. Figure 2 FIG. 4 is a schematic flow chart of another early warning method for tunnel waterlogging provided by an embodiment of the present invention. Figure 1 As shown, the method includes steps S101 to S105.

[0055] S101 determines a number of waterlogging-sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging-sensitive area based on historical waterlogging data. Among them, water-sensitive areas refer to areas that are prone to water accumulation or have a significant impact on the operation and safety of facilities. Based on factors such as topography, structural characteristics or functional importance, they can be roughly divided into two categories: one is the area prone to water accumulation, such as depressions inside tunnels, structural joints and cracks, and areas with insufficient drainage system performance; the other is key areas that need to pay special attention to water accumulation, such as tunnel entrances and exits, drainage systems and pumping stations, emergency evacuation outlets, centralized wiring areas, and structural vulnerable parts. Once water accumulates in these areas, it may affect the safety, functionality and traffic capacity of the facilities. Identifying these areas and effectively managing them is crucial to improving the safety and reliability of underground structures such as tunnels, which can minimize the negative impact of water accumulation and ensure that the tunnel is always in the best condition.

[0056] The local waterlogging threshold is used to judge the waterlogging situation in the waterlogging sensitive area, so as to mark the waterlogging sensitive area where the waterlogging amount is greater than the local waterlogging threshold as a risk area.

[0057] Specifically, based on historical waterlogging data, we can understand the distribution of infrastructure inside the tunnel and the records of areas prone to waterlogging. Then, by analyzing historical waterlogging data, we can determine the locations of areas prone to waterlogging and key areas in the tunnel. These areas are regarded as waterlogging sensitive areas. The total amount of waterlogging in the tunnel corresponding to waterlogging in each waterlogging sensitive area is estimated through historical waterlogging data, and the corresponding total amount of waterlogging is used as the local waterlogging threshold of the waterlogging sensitive area. Furthermore, when the amount of waterlogging exceeds the local waterlogging threshold of any waterlogging sensitive area, it is inferred that the waterlogging sensitive area has been flooded or the waterlogging has overflowed, and the waterlogging is about to gather to form a waterlogging belt, and the waterlogging sensitive area is marked as a risk area.

[0058] It should be understood that due to the different heights of the areas inside the tunnel and the different distances from the water inlet and drain outlet, the distribution of accumulated water is not uniform, and water will accumulate in various areas of the tunnel one after another. Areas prone to water accumulation will generally accumulate water before other areas, or the amount of water accumulated in areas prone to water accumulation will be greater than in other areas.

[0059] For example, the distribution of infrastructure inside the tunnel determines that there is a key area A1 inside the tunnel, and the historical local waterlogging conditions based on historical waterlogging data determine that there are waterlogging-prone areas B1 and B2 inside the tunnel.

[0060] Among them, the area B1 prone to water accumulation is located near the tunnel entrance (i.e., the water inlet), and is very prone to water accumulation. When the total amount of water accumulation reaches 1 cm, water accumulation occurs in the area B1 prone to water accumulation. Then, the local water accumulation threshold of the area B1 prone to water accumulation is 1 cm.

[0061] Among them, the area B2 prone to water accumulation is in the depression area inside the tunnel, which is more prone to water accumulation. When the total water accumulation reaches 6 cm, water accumulation occurs in the area B2 prone to water accumulation. The local water accumulation threshold of the area B2 prone to water accumulation is 6 cm, and at this time, the actual water accumulation depth of the area B2 prone to water accumulation is greater than 6 cm.

[0062] Among them, the key area A1 is located in the highland area inside the tunnel. When the total water accumulation reaches 20 cm, water accumulates in the key area A1. The local water accumulation threshold of the key area A1 is 20 cm, and the actual water accumulation depth of the key area A1 is less than 20 cm at this time.

[0063] For the purpose of tunnel traffic safety and standardized tunnel driving, key areas in waterlogging-sensitive areas are often subject to key control. Therefore, most key areas are monitored or regularly inspected by personnel, such as tunnel entrances and exits, emergency evacuation exits, and centralized wiring areas. Areas prone to waterlogging are local areas that were the focus of control and treatment when waterlogging occurred in the past. Therefore, most areas prone to waterlogging have corresponding waterlogging event records. Therefore, through tunnel monitoring images or waterlogging event records, each waterlogging-sensitive area and the local waterlogging threshold of each waterlogging-sensitive area can be determined.

[0064] In some embodiments, the local waterlogging threshold corresponding to the location of the waterlogging sensitive area can be estimated by the distance from the tunnel entrance and exit and the drainage outlet, the terrain state corresponding to the location, and the local waterlogging volume of the waterlogging sensitive area. Based on the data corresponding to the location in the historical waterlogging data, the typical waterlogging volume under different conditions can be estimated, and then the local waterlogging threshold of each waterlogging sensitive area can be estimated.

[0065] For example, if the water accumulation sensitive area is close to the tunnel entrance and located in a low-lying area, even a small amount of water accumulation may cause water accumulation in the water accumulation sensitive area. The water accumulation sensitive area will start to accumulate water before other water accumulation sensitive areas and the entire tunnel. It is estimated that the corresponding typical water accumulation volume is small, so the corresponding local water accumulation threshold is low and can be set to 2cm. For example, if the water accumulation sensitive area is in a higher or flatter place, the possibility of water accumulation is relatively small. The water accumulation sensitive area will start to accumulate water after other water accumulation sensitive areas. The corresponding typical water accumulation volume is large, and the corresponding local water accumulation threshold is high, which can be set to 10cm. For another example, if the water accumulation sensitive area is close to the tunnel drainage outlet and the local water accumulation volume is 10cm greater than other areas, although the water accumulation situation will be alleviated faster, the water accumulation sensitive area is also more likely to accumulate water when the drainage pressure is high. The corresponding typical water accumulation volume is estimated. Considering that the local water accumulation volume of the water accumulation sensitive area is large, there is a greater safety risk and low-sensitivity identification is required. Therefore, the corresponding local water accumulation threshold is low and can be set to 8cm.

[0066] In some embodiments, the historical waterlogging data includes a tunnel monitoring image and a historical waterlogging amount when the tunnel is flooded, and the tunnel monitoring image is associated with a passing timestamp of the historical waterlogging amount; the S101 includes: based on a preset waterlogging identification model, identifying a first risk image of water overflowing from the waterlogging sensitive area according to the tunnel monitoring image, and / or a second risk image of waterlogging in the waterlogging sensitive area and waterlogging in an adjacent waterlogging sensitive area converging to form a waterlogging belt; obtaining the waterlogging amount corresponding to the timestamp of the first risk image and / or the second risk image as a local waterlogging threshold of the waterlogging sensitive area.

[0067] Specifically, the preset waterlogging recognition model is a pre-trained image recognition and analysis model, which takes the tunnel monitoring image as input, and analyzes the visual features such as water level height, water flow direction, regional color change, etc. in the image through multiple algorithms corresponding to edge detection and segmentation, optical flow method, color space conversion, and texture contour, and then identifies the first risk image or the second risk image. It can also identify the location of the waterlogging sensitive area, and use the amount of water when the water overflows or the amount of water when the water converges to form a waterlogging belt as the local waterlogging threshold of the waterlogging sensitive area. It can also use the range composed of the amount of water when the water overflows and the amount of water when the water converges to form a waterlogging belt as the local waterlogging threshold of the waterlogging sensitive area.

[0068] It should be understood that the embodiments of the present invention make full use of existing and common facilities and equipment inside the tunnel and records of waterlogging events, and set reasonable local waterlogging thresholds for different local areas by comprehensively analyzing the amount of waterlogging, specific characteristics inside the tunnel, and environmental conditions. This not only avoids the high cost and complexity of laying a precision sensor network inside the tunnel, but also accurately grasps the local waterlogging situation inside the tunnel, breaking through the limitations that may be caused by relying solely on the water flow difference data at the entrance and exit, and helps to more effectively monitor, evaluate, and respond to waterlogging in the tunnel, significantly improving the timeliness of early warning and response.

[0069] That is to say, the embodiment of the present invention provides an efficient, economical and intelligent tunnel waterlogging management solution. By making full use of existing resources, accurate monitoring and effective response to waterlogging conditions inside the tunnel are achieved at a low cost, thereby ensuring the safety and reliability of tunnel operations. First, the existing infrastructure in the tunnel is fully utilized, such as tunnel monitoring used for traffic safety and operation management, and then combined with existing waterlogging event records and tunnel terrain environment for data analysis. By integrating this information, comprehensive monitoring of waterlogging conditions inside the tunnel can be achieved without the need to install additional complex sensor networks. Second, each tunnel has its own unique geographical features and environmental conditions. When setting the local waterlogging threshold, these factors that directly affect the occurrence and development of waterlogging are fully considered to improve the accuracy of local waterlogging monitoring, and then the waterlogging conditions in various areas inside the tunnel can be evaluated with high progress and real-time performance, which enhances the sensitivity of waterlogging monitoring and enables the corresponding preventive measures to be activated in a timely manner to avoid accidents.

[0070] S102 sorts the local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; divides the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determines a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence.

[0071] Among them, the preset ratio is a pre-set constant less than 1, which needs to be flexibly determined by comprehensively considering various factors such as historical waterlogging data, geographical features, environmental conditions, traffic flow, facility importance, and policy standards. For example, when historical waterlogging data shows that about 30% of waterlogging sensitive areas are marked as risk areas, a large-scale waterlogging belt and catchment area are formed in the tunnel, which is easy to cause traffic accidents. If the arrangement order of several local waterlogging thresholds in the threshold distribution sequence is from small to large, then the preset ratio can be set to less than or equal to 30%, for example, 25%; if the arrangement order of several local waterlogging thresholds in the threshold distribution sequence is from large to small, then the preset ratio can be set to greater than or equal to 70%, for example, 75%. It should be understood that the preset ratio can be related to the arrangement order of several local waterlogging thresholds in the threshold distribution sequence.

[0072] Among them, the first global threshold is essentially a water accumulation threshold, which is used to determine whether there is a small amount of mild water accumulation inside the tunnel. For example, if a water accumulation zone or catchment area begins to form in a part of the tunnel, the driver may feel water splashing on the chassis of the vehicle, but it generally does not pose a major threat to driving safety. At this time, the corresponding first-level risk warning strategy is activated. The specific value of the first global threshold can be flexibly changed with the preset ratio, several local water accumulation thresholds, and the number of water accumulation sensitive areas to adapt to different tunnel scenarios. Through the scientific setting of the preset ratio, the first global threshold is generally less than 10cm.

[0073] Exemplarily, the maximum local water accumulation threshold in the first sequence is less than or equal to the minimum local water accumulation threshold in the second sequence, and the maximum local water accumulation threshold in the first sequence is used as the first global threshold, or the minimum local water accumulation threshold in the second sequence is used as the first global threshold, or the threshold range consisting of the maximum local water accumulation threshold in the first sequence and the minimum local water accumulation threshold in the second sequence is used as the first global threshold.

[0074] In some embodiments, a plurality of local waterlogging thresholds are sorted according to the threshold values ​​to obtain a threshold distribution sequence; the threshold distribution sequence is divided into a first sequence and a second sequence based on a preset ratio P, and a first global threshold is determined according to the local waterlogging threshold at the boundary between the first sequence and the second sequence. Wherein, P≤N1 / N2, P is a preset constant less than 1, N1 is the upper limit number of risk areas marked in the waterlogging sensitive area, and N2 is the number of waterlogging sensitive areas. When the amount of waterlogging is less than the first global threshold, the actual number N3 of risk areas marked in the waterlogging sensitive area is less than the upper limit number N1.

[0075] Exemplarily, the number of waterlogging sensitive areas N2 in the tunnel is counted; the upper limit number N1 of the risk area is calculated according to the number N2 of waterlogging sensitive areas and the preset ratio P, and the calculation formula is: "N1=N2×P"; several local waterlogging thresholds are sorted from small to large according to the threshold size to obtain a threshold distribution sequence; the threshold distribution sequence is divided into a first sequence and a second sequence according to the upper limit number N1, and the demarcation point threshold at the boundary between the first sequence and the second sequence is determined, and the demarcation point threshold is used as the first global threshold. For example, if P=30% and N2=50, then N1=30%×50=15, and the 15th local waterlogging threshold after sorting is taken as the demarcation point threshold. According to the sensitivity requirements of the early warning response, the next or previous local waterlogging threshold after the N1th local waterlogging threshold can also be taken as the demarcation point threshold.

[0076] It should be understood that the calculated N1 may not be an integer, and in this case, the local water accumulation threshold after or before the N1th local water accumulation threshold may be taken as the demarcation point threshold. Further, the demarcation point threshold may also be a threshold range consisting of the N1th local water accumulation threshold, the local water accumulation threshold after the N1th local water accumulation threshold, and the local water accumulation threshold before the N1th local water accumulation threshold.

[0077] It should be understood that the local waterlogging threshold provides a clear standard. For example, when the preset ratio is less than or equal to 30%, the threshold distribution sequence is divided into the first sequence and the second sequence in a 30-70 ratio. The specific situation of the local waterlogging sensitive area can be inferred by the total amount of waterlogging. The first global threshold is further formulated through the local waterlogging threshold. The global waterlogging situation can be reflected from the local waterlogging situation, so as to comprehensively evaluate the overall risk distribution, which will help to more effectively monitor and respond to waterlogging problems in tunnels, ensure traffic safety, and the timeliness of early warning responses.

[0078] In other words, the water accumulation volume, local water accumulation threshold, and the first global threshold are used to achieve all-round water accumulation monitoring from global to local and then to global, making full use of existing resources and taking into account the accurate monitoring of local and global water accumulation at low cost. The corresponding early warning mechanism can respond to the problem in a timely manner at the early stage to prevent small-scale water accumulation from turning into a serious safety threat. At the same time, the adaptability and prediction capabilities can be further improved by continuously updating and optimizing the local water accumulation threshold and the first global threshold, providing more reliable protection for the safe operation of the tunnel.

[0079] S103 obtains first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; calculates the inlet and outlet flow difference according to the first flow data and the second flow data, and determines the amount of accumulated water according to the inlet and outlet flow difference.

[0080] In order to achieve accurate monitoring and management of water accumulation in the tunnel, at least two first flow detection units collect first flow data at the tunnel entrance and exit, and a second flow detection unit collects second flow data at the tunnel drain outlet. The first flow data and the second flow data respectively record the total amount of water flow in and out of the tunnel, and then the difference in inflow and outflow is calculated based on the two sets of flow data, and the calculated difference in inflow and outflow is used to estimate the amount of water accumulation inside the tunnel.

[0081] In other words, by comparing the difference in the amount of water entering and leaving the tunnel, the net inflow of water within a period of time is obtained, and then the change in the amount of water inside the tunnel is determined. For example, if the difference in inflow and outflow is positive, it means that there is extra water trapped inside the tunnel, which may have caused water accumulation; conversely, if the difference in inflow and outflow is negative, it means that the amount of water inside the tunnel is decreasing. Real-time monitoring of water accumulation improves the accuracy and timeliness of tunnel water accumulation management, ensures the safe passage of people and vehicles in the tunnel, and significantly reduces the number, type, and wiring complexity of sensors, thereby reducing the deployment cost and maintenance requirements of sensors.

[0082] Furthermore, in order to improve the comprehensiveness and accuracy of the data, for large or complex tunnels, multiple first flow detection units can be set at different positions at the tunnel entrance and exit. For example, according to the cross-sectional width of the tunnel entrance and exit, multiple first flow monitoring units can be set at the tunnel entrance and tunnel exit at corresponding certain intervals. Then, the inlet flow data can be calculated based on the data collected by the multiple first flow monitoring units set at the tunnel entrance, and the outlet flow data can be calculated based on the data collected by the multiple first flow monitoring units set at the tunnel exit, thereby obtaining high-precision first flow data.

[0083] It should be noted that the amount of accumulated water in the embodiment of the present invention can be specifically calculated based on the net inflow corresponding to the difference in inflow and outflow flow and the total area of ​​the tunnel, which can be expressed in a variety of ways. For example, it can be expressed by the depth of accumulated water, which refers to the vertical distance from the water surface to the ground in a certain area, usually in meters (m) or centimeters (cm). It can also be expressed by the volume of accumulated water in a unit area, such as the total volume of accumulated water in a certain area unit (such as 1 square meter), usually in cubic meters per square meter (m³ / m²).

[0084] S104 monitors the waterlogging risk index in real time, and adjusts a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold.

[0085] Among them, the second global threshold is essentially a water accumulation threshold, which is used to determine whether there is a large volume of moderate overall water accumulation inside the tunnel. For example, when the water accumulation depth is about 20 cm in the tunnel, "hydroplaning" is likely to occur when driving at high speeds, and the vehicle chassis and exhaust system may be affected, increasing the risk of accidents. It is necessary to activate the secondary risk warning strategy before then. The initial value of the second global threshold can be determined based on a combination of factors such as historical water accumulation data, industry standards, tunnel internal characteristics, environmental climate factors, and expert opinions. For example, the second global threshold can be set to 18 cm or lower, and the specific value can be flexibly adjusted according to actual conditions.

[0086] The waterlogging risk index refers to a series of parameters and data used to evaluate and quantify the possibility of waterlogging in the tunnel and its potential impact, which comprehensively reflects the impact of various factors on the waterlogging situation in the tunnel. Specifically, the waterlogging risk index may include at least one of the associated water situation data and environmental climate data.

[0087] The associated water condition data are real-time upstream water conditions, water accumulation in adjacent areas, and water accumulation in tunnels at the same water level. It should be understood that the inflow from rivers, reservoirs or other water sources can directly affect the water accumulation in the tunnel, and the water accumulation in surrounding roads, buildings, etc. may also indirectly affect the water accumulation inside the tunnel. The water accumulation in more closely related areas (such as other tunnels with the same terrain, relatively downstream tunnels) may indirectly indicate the risk of water accumulation in the tunnel. For example, if water accumulation has been confirmed in the adjacent area, the risk of water accumulation in the tunnel will increase significantly.

[0088] Environmental and climate data include real-time environmental and weather conditions. For example, in areas close to rivers or with abundant groundwater, changes in groundwater levels will also affect water accumulation in tunnels. Meteorological data such as rainfall, snowfall, temperature, humidity, wind speed, and wind direction will also affect water accumulation inside tunnels. For example, during the rainy season or snowmelt period, the risk of water accumulation in tunnels will increase significantly.

[0089] Specifically, based on the preset second global threshold, the waterlogging risk index is monitored in real time, and the second global threshold is adjusted by comprehensively considering the possible impact of changes in the waterlogging risk index, ensuring that the second global threshold can both adapt to the actual situation and accurately judge the waterlogging situation, and provide sufficient safety margin and low-sensitivity triggering, thereby improving the predictability and response speed of tunnel waterlogging, and effectively improving the safety management level and emergency response capabilities of the tunnel. Through the adaptive adjustment of the waterlogging risk index, the second global threshold is generally a value greater than 10cm and less than 30cm.

[0090] For example, suppose a tunnel is located in a rainy area, but the associated water situation data shows that there is no water accumulation in the adjacent areas. At this time, although heavy rain may easily cause water accumulation in the tunnel, there is no water accumulation in the adjacent areas. At this time, the second global threshold can be lowered according to the sensitivity requirements or kept unchanged.

[0091] In some embodiments, in order to comprehensively consider the changes in the waterlogging risk index, before S104, it also includes: setting weights for various types of data within the waterlogging risk index, for example, for a tunnel in a flat area, the weight of the associated water condition data is greater than the waterlogging risk index; obtaining the historical waterlogging data, the historical waterlogging data including historical waterlogging volume, historical environmental climate, and historical associated water conditions associated by timestamps; and then training the initial threshold adjustment model based on the historical waterlogging data to obtain a preset threshold adjustment model, the preset threshold adjustment model being used to adjust the second global threshold according to different associated water condition data and / or different environmental climate data.

[0092] In some embodiments, in order to comprehensively consider the changes in waterlogging risk indicators, before S104, it also includes: obtaining the historical waterlogging data, the historical waterlogging data includes historical waterlogging volume, historical environmental climate, and historical associated water conditions associated with timestamps; training an initial waterlogging risk model based on the historical waterlogging volume, the historical environmental climate, and the historical associated water conditions to obtain a preset waterlogging risk model, and the preset waterlogging risk model is used to predict the probability of waterlogging based on different associated water condition data and / or different environmental climate data.

[0093] Specifically, historical waterlogging, historical environmental climate, and historical associated water conditions are associated according to timestamps to form a complete historical waterlogging event record library. For example, the waterlogging at a certain point in time can correspond to its corresponding rainfall, temperature, waterlogging in adjacent areas, and other information. Then, an initial waterlogging risk model and / or initial threshold adjustment model is constructed based on a machine learning algorithm, and the initial waterlogging risk model and / or initial threshold adjustment model are trained using historical waterlogging data, and then the model parameters are optimized through methods such as cross-validation to ensure its generalization ability.

[0094] In some embodiments, the S104 includes: inputting the associated water condition data and / or the environmental climate data into the preset waterlogging risk model to obtain the waterlogging probability; when the waterlogging probability is greater than a first probability threshold, lowering the second global threshold by a first preset value; when the waterlogging probability is less than a second probability threshold, raising the second global threshold by a second preset threshold.

[0095] Among them, the first preset value and the second preset value are used to adjust the second global threshold so that the second global threshold can fully adapt to the current scene and the water accumulation monitoring sensitivity is moderate. The specific value needs to be determined according to the actual situation, historical water accumulation data and expert opinions, and the two can be the same or different. Exemplarily, the first preset value can be appropriately greater than the second preset value, and the water accumulation situation can be monitored with a higher sensitivity to ensure the timeliness of the early warning response and improve the safety of tunnel driving.

[0096] The first probability threshold and the second probability threshold are used to trigger the adjustment of the second global threshold. The first probability threshold is higher and is used to deal with high-risk situations; the second probability threshold is lower and is used to confirm low-risk situations. The specific values ​​of these two probability thresholds need to be determined based on actual conditions, historical waterlogging data and expert opinions, and are not limited here.

[0097] Specifically, if the predicted probability of waterlogging is greater than the first probability threshold, it indicates that the tunnel currently has a high risk of waterlogging, and monitoring and response measures need to be strengthened. Accordingly, the second global threshold is adjusted down by the first preset value to make waterlogging monitoring more sensitive, trigger an early warning or start the drainage system at an earlier stage, and prevent the occurrence of serious waterlogging events. If the predicted probability of waterlogging is lower than the set second probability threshold, it indicates that the tunnel currently has a low risk of waterlogging, and the monitoring standards can be appropriately relaxed, and the second global threshold is adjusted up by the second preset value to reduce unnecessary interventions and optimize the utilization of the tunnel while ensuring safety.

[0098] Exemplarily, the initial second global threshold of a tunnel is 16 cm, the first probability threshold is 80%, the second probability threshold is 20%, the first preset value can be set to 3 cm, and the second preset value can be set to 2 cm. At a certain moment, the associated water condition data and / or environmental climate data are input into the preset waterlogging risk model, and the probability of waterlogging is 85%, which exceeds the first probability threshold, so the second global threshold is lowered from 16 cm to 13 cm. At another moment, the associated water condition data and / or environmental climate data are input into the preset waterlogging risk model, and the probability of waterlogging is only 15%, which is lower than the second probability threshold, so the second global threshold is raised from 16 cm to 18 cm.

[0099] As a result, lower thresholds can be set for water accumulation in extreme weather conditions such as heavy rain and snowmelt to deal with these high-risk situations, improving the accuracy and timeliness of water accumulation management, and taking the most appropriate response measures under different risk conditions to ensure the safe operation and efficient management of the tunnel. This dynamic adjustment mechanism ensures the flexibility and adaptability of water accumulation monitoring, ensures the timeliness of early warning responses, and maximizes the safety of people and vehicles in the tunnel.

[0100] S105: When the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold, a corresponding risk warning strategy is activated.

[0101] Different amounts of water accumulation have different degrees of impact on driving safety, and corresponding level one or level two risk warning strategies can be activated. These two strategies have significant differences in response measures, and differentiated treatments are made on the impact on traffic and management intensity to achieve intelligent management of tunnel traffic.

[0102] When the amount of water accumulation exceeds the first global threshold, the first-level risk warning strategy is activated. At this time, there is a small amount of mild local water accumulation inside the tunnel, which has a relatively small impact on driving safety. The core of the first-level risk warning strategy is prevention and rapid response. Through gentle reminders and timely drainage treatment, the safety and smoothness of tunnel traffic are ensured. It not only improves the safety awareness of drivers, but also reduces unnecessary traffic interruptions and improves overall traffic efficiency.

[0103] When the amount of water accumulation exceeds the second global threshold, the secondary risk warning strategy is activated. At this time, there is a large amount of moderate overall water accumulation inside the tunnel. Although vehicles can still drive in the tunnel, the impact of water accumulation on driving safety increases. The core of the secondary risk warning strategy lies in mandatory management and strict control. A series of rigid measures are used to ensure traffic safety in the tunnel. Although it has a certain impact on traffic, it can effectively prevent serious accidents and ensure the safety of personnel and vehicles. At the same time, timely drainage treatment is also needed to alleviate the water accumulation inside the tunnel.

[0104] In some embodiments, when the amount of accumulated water exceeds the second global threshold, both the primary risk warning strategy and the secondary risk warning strategy may be enabled simultaneously, or only the secondary risk warning strategy may be enabled.

[0105] In some embodiments, the preventive measures in the risk warning strategy may include but are not limited to: sending alarm information to management personnel through sound and light alarms, SMS notifications, email reminders, etc.; issuing traffic reminder information through electronic display screens, broadcasts and other channels to remind drivers to pay attention to water accumulation and slow down; activating drainage pumps and other backup drainage equipment to accelerate the drainage of water in the tunnel; issuing traffic control instructions, such as restricting traffic, closing some lanes, etc.; dispatching emergency rescue teams to the scene to carry out drainage operations and other necessary emergency treatment. Furthermore, the latest water accumulation situation and response measures are released through multiple channels (such as social media, news media, Internet maps, navigation systems) to improve public awareness and cooperation.

[0106] For example, the first global threshold of a tunnel is 8cm, and the second global threshold is 15cm. At a certain moment, the amount of water detected is 12cm, which exceeds the first global threshold but does not reach the second global threshold. At this time, the first-level risk warning strategy will be activated, such as issuing an alarm, issuing traffic prompts, etc. At another moment, the amount of water detected reaches 18cm, exceeding the second global threshold. At this time, the second-level risk warning strategy is activated, such as issuing traffic control instructions and dispatching emergency personnel to ensure a rapid response to moderate waterlogging incidents.

[0107] It should be understood that the graded warning mechanism can distinguish different levels of water accumulation and take targeted warning and response measures. It can take gentle reminders and quick treatment in the case of small-volume mild local water accumulation, and implement strict control and compulsory measures in the case of large-volume moderate overall water accumulation. This differentiated treatment improves the flexibility and adaptability of water accumulation monitoring, takes the most appropriate response measures under different risk conditions, and maximizes the safety of people and vehicles in the tunnel.

[0108] In some embodiments, S105 includes: when the amount of accumulated water is greater than the first global threshold, generating and pushing a slippery road signal; and / or calculating the number of enabled backup drainage facilities based on the inlet and outlet flow difference, and enabling a corresponding number of backup drainage facilities.

[0109] like Figure 2 As shown in the figure, the amount of water accumulation is compared with the first global threshold. When the amount of water accumulation is greater than the first global threshold, there is local water accumulation inside the tunnel, and the first-level risk warning strategy is activated. The first-level warning strategy mainly adopts soft reminder measures rather than hard control measures, aiming to effectively alleviate water accumulation and ensure traffic safety without hindering normal traffic.

[0110] Specifically, a slippery road signal can be generated and pushed, and slippery road condition reminders can be issued through electronic display screens, broadcasts, text messages, Internet maps and other channels to warn drivers to slow down, keep a safe distance and avoid emergency braking. Furthermore, according to the difference in inflow and outflow flow and the automatic calculation and activation of an appropriate number of standby drainage pumps, the accumulated water can be quickly drained, the formation of waterlogging belts and catchment areas in the tunnel can be alleviated or slowed down, and driving risks can be reduced. In addition, reminders such as road avoidance and local waterlogging can be generated and pushed, so that drivers can flexibly choose other roads.

[0111] In some embodiments, S105 includes: when the amount of water accumulation is greater than the second global threshold, generating and pushing a road speed limit signal; and / or obtaining the locations of several of the water accumulation sensitive areas; based on the locations of the several water accumulation sensitive areas, determining a high-risk lane where the water accumulation sensitive areas are densely distributed, and generating and pushing a partial closure signal based on the high-risk lane.

[0112] like Figure 2 As shown, the amount of water accumulation is compared with the second global threshold. When the amount of water accumulation is greater than the second global threshold, the overall water accumulation situation inside the tunnel will activate the secondary risk warning strategy. The secondary warning strategy adopts rigid control measures to restrict traffic by compulsory means to ensure the safety of tunnel traffic.

[0113] Specifically, road speed limit signals are generated and pushed so that speed limit instructions can be issued through electronic display screens, broadcasts, text messages, Internet maps and other channels, requiring vehicles to slow down or drive at a limited speed in flooded areas, ensuring that all vehicles comply with speed limit regulations and minimizing the possibility of accidents.

[0114] Furthermore, the embodiment of the present invention provides a traffic control solution for closing some lanes, which avoids "one-size-fits-all" tunnel closure while ensuring the safety of people and vehicles, and ensures the passage of tunnels. Specifically, according to the location of several water-sensitive areas, high-risk lanes with densely distributed water-sensitive areas are determined, and partial closure signals are generated and pushed according to the high-risk lanes to prohibit all vehicles from entering the high-risk lanes, and vehicles are guided to detour to other routes through electronic display screens, broadcasts, text messages, Internet maps and other channels to avoid further expansion of the scope of the accident.

[0115] Exemplarily, the locations of several waterlogging-sensitive areas can be obtained based on a preset waterlogging identification model, or high-risk lanes with densely distributed waterlogging-sensitive areas can be directly counted based on tunnel monitoring images; the locations of several waterlogging-sensitive areas can also be obtained based on waterlogging event records.

[0116] It should be understood that in order to maximize the safe operation of the tunnel, when the amount of water accumulation is greater than the second global threshold, measures can be taken to avoid driving in water-sensitive areas when facing moderate overall water accumulation. When the water accumulation in the tunnel is deep, the stability of the vehicle driving is reduced, and there is a risk of skidding and sliding, which increases the probability of traffic accidents to a certain extent, which may damage key areas in the tunnel (such as wiring concentration areas, substations, vents, etc.). For example, damage to the wiring concentration area may cause power system failure, leakage or power outage, which not only affects the lighting and ventilation systems in the tunnel, but may also cause fires or other electrical accidents, which will further aggravate the degree of harm and increase the difficulty of accident handling. In addition, waterlogging areas are usually located in low-lying areas or places with weak drainage systems. These areas will form deeper water levels, which will increase the risk of vehicle loss of control.

[0117] In some embodiments, after the implementation of closure measures, the water accumulation situation is continuously monitored and the closure strategy is flexibly adjusted, including expanding or reducing the closure scope, lifting the closure in advance, etc., to ensure that safety is guaranteed and normal traffic order can be restored in a timely manner.

[0118] In some embodiments, S105 includes: when the amount of water accumulation is greater than a second global threshold, monitoring the inlet and outlet flow difference; if the inlet and outlet flow difference continues to be greater than a third global threshold within a preset time period, generating and pushing a water accumulation risk warning signal, and synchronizing the water accumulation warning signal to the navigation system so that the navigation system can perform traffic planning in advance.

[0119] The third global threshold is essentially the threshold of the water accumulation growth rate, which is used to determine whether the water accumulation inside the tunnel continues to grow significantly. If the difference in inflow and outflow flow continues to be greater than the third global threshold within the preset time, it is determined to be a high-risk and significant water accumulation growth, and the third-level risk warning strategy is activated. Figure 2 As shown, the third-level risk warning strategy can be considered as a part of the second-level risk warning strategy.

[0120] The preset duration can be flexibly determined according to actual needs, such as 20 minutes. Specifically, it can be determined according to the difference between inflow and outflow. If the difference between inflow and outflow is large, the accumulated amount of water per unit time is large, and the preset duration can be set to be smaller, such as 15 minutes. That is, if the difference between inflow and outflow continues to be greater than the third global threshold within 15 minutes, the third-level risk warning strategy can be triggered. Otherwise, it can be set to a larger value.

[0121] like Figure 2 As shown in the figure, when the amount of water accumulation exceeds the second global threshold, moderate water accumulation has occurred inside the tunnel, and vehicles can still pass through. However, in order to ensure that an early warning is issued in time before severe water accumulation, the inlet and outlet flow difference is directly monitored. The inlet and outlet flow difference not only reflects the water flow speed in the tunnel, but also reflects the growth trend of water accumulation. If the inlet and outlet flow difference continues to exceed the third global threshold within the preset time, it is inferred that the growth trend of water accumulation is large at this time, the water accumulation in the tunnel is increasing rapidly, and the water flow speed is fast and destructive, which aggravates the instability of driving. In this case, even if the vehicle can still barely pass in the short term, as time goes by, the substantial increase in water accumulation will seriously affect driving safety. For example, the key components of the vehicle's engine air intake, electrical system, etc. are affected, and there is a risk of stalling, and even the vehicle is trapped in water, endangering life safety.

[0122] In order to prevent these potential dangers, it is necessary to immediately generate and push waterlogging risk warning signals when the difference between inflow and outflow is found to exceed the standard continuously. Generate and push waterlogging risk warning signals in advance, notify relevant management departments and drivers through various channels (such as broadcasting, text messages, and electronic display screens), and synchronize waterlogging warning signals to the navigation system to guide the navigation system or traffic command system to plan traffic flow in advance, avoid using affected tunnels as much as possible, and reduce potential safety hazards. Among them, the navigation system includes the navigation algorithm of the Internet map. Furthermore, emergency rescue teams can be dispatched to the scene to carry out drainage operations and other necessary emergency treatments, and the tunnel entrance can be closed in advance to prevent vehicles from continuing to enter the tunnel.

[0123] See also Figure 3 , Figure 3 A schematic block diagram of an early warning device for tunnel waterlogging provided in an embodiment of the present invention. The early warning device for tunnel waterlogging can be configured in a server to execute the aforementioned early warning method for tunnel waterlogging.

[0124] like Figure 3 As shown, an embodiment of the present invention further provides an early warning device 200 for water accumulation in a tunnel, wherein at least two first flow detection units are provided at the tunnel entrance and exit, and at least one second flow detection unit is provided at the tunnel drainage outlet, and the device comprises: A local waterlogging threshold module 201 is used to determine a number of waterlogging sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging sensitive area based on historical waterlogging data; A first global threshold module 202 is used to sort the local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; divide the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determine a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; The water accumulation monitoring module 203 is used to obtain the first flow data collected by at least two of the first flow detection units and the second flow data collected by at least one of the second flow detection units; calculate the inlet and outlet flow difference according to the first flow data and the second flow data, and determine the water accumulation amount according to the inlet and outlet flow difference; A second global threshold module 204 is used to monitor the waterlogging risk index in real time and adjust a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; The risk warning strategy module 205 is used to enable a corresponding risk warning strategy when the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold.

[0125] Exemplarily, the historical waterlogging data includes tunnel monitoring images and historical waterlogging volume when the tunnel is flooded, and the tunnel monitoring images are associated with the passing timestamps of the historical waterlogging volume; the local waterlogging threshold module 201 also includes: a risk image submodule and a threshold determination submodule. The risk image submodule is used to identify, based on a preset waterlogging recognition model, a first risk image of waterlogging overflowing from the waterlogging sensitive area and / or a second risk image of waterlogging in the waterlogging sensitive area and waterlogging in adjacent waterlogging sensitive areas converging to form a waterlogging belt according to the tunnel monitoring images; the threshold determination submodule is used to obtain the waterlogging volume corresponding to the timestamps of the first risk image and / or the second risk image as the local waterlogging threshold of the waterlogging sensitive area.

[0126] Exemplarily, the early warning device for tunnel waterlogging also includes: a historical waterlogging data module and a waterlogging risk model module. The historical waterlogging data module is used to obtain the historical waterlogging data, and the historical waterlogging data includes the historical waterlogging volume, the historical environmental climate, and the historical associated water conditions associated by timestamps; the waterlogging risk model module is used to train the initial waterlogging risk model according to the historical waterlogging volume, the historical environmental climate, and the historical associated water conditions, and obtain a preset waterlogging risk model through training, and the preset waterlogging risk model is used to predict the probability of waterlogging according to different associated water condition data and / or different environmental climate data.

[0127] Exemplarily, the second global threshold module 204 includes: a waterlogging probability submodule, a threshold lowering submodule, and a threshold raising submodule. The waterlogging probability submodule is used to input the associated water condition data and / or the environmental climate data into the preset waterlogging risk model to obtain the waterlogging probability; the threshold lowering submodule is used to lower the second global threshold by a first preset value when the waterlogging probability is greater than the first probability threshold; the threshold raising submodule is used to raise the second global threshold by a second preset threshold when the waterlogging probability is less than the second probability threshold.

[0128] Exemplarily, the risk warning strategy module 205 includes: a road slippery submodule and a backup drainage submodule. The road slippery submodule is used to generate and push a road slippery signal when the amount of accumulated water is greater than the first global threshold; and / or, the backup drainage submodule is used to calculate the number of enabled backup drainage facilities according to the inlet and outlet flow difference, and enable the corresponding number of backup drainage facilities.

[0129] Exemplarily, the risk warning strategy module 205 includes: a road speed limit submodule and a partial closure submodule. The road speed limit submodule is used to generate and push a road speed limit signal when the amount of water accumulation is greater than the second global threshold; and / or, the partial closure submodule is used to obtain the locations of several water accumulation sensitive areas; according to the locations of several water accumulation sensitive areas, determine the high-risk lanes where the water accumulation sensitive areas are densely distributed, and generate and push the partial closure signal according to the high-risk lanes.

[0130] Exemplarily, the risk warning strategy module 205 includes: a flow monitoring submodule and a third global threshold submodule. The flow monitoring submodule is used to monitor the inlet and outlet flow difference when the water volume is greater than the second global threshold; the third global threshold submodule is used to generate and push a water accumulation risk warning signal if the inlet and outlet flow difference is continuously greater than the third global threshold within a preset time period, and synchronize the water accumulation warning signal to the navigation system so that the navigation system can perform traffic planning in advance.

[0131] Exemplarily, the above method and apparatus may be implemented in the form of a computer program. The computer program may be implemented in the form of a computer program. Figure 4 Runs on the computer device shown.

[0132] See also Figure 4 , Figure 4 1 is a schematic block diagram of a computer device provided by an embodiment of the present invention. The computer device may be a terminal device or a server.

[0133] Exemplarily, the above method and apparatus may be implemented in the form of a computer program. The computer program may be implemented in Figure 4 Runs on the computer device shown.

[0134] like Figure 4 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0135] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the early warning methods for tunnel water accumulation.

[0136] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0137] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any early warning method for tunnel water accumulation.

[0138] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0139] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0140] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps: S101: determining a plurality of waterlogging-sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging-sensitive area based on historical waterlogging data; S102: sorting the plurality of local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; dividing the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determining a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; S103: obtaining first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; calculating an inlet and outlet flow difference according to the first flow data and the second flow data, and determining the amount of accumulated water according to the inlet and outlet flow difference; S104: monitoring a waterlogging risk index in real time, and adjusting a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; S105: When the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold, a corresponding risk warning strategy is activated.

[0141] Exemplarily, the processor is used to run a computer program stored in the memory, and is also used to implement the steps of the tunnel waterlogging early warning method provided in any embodiment of the present invention, which will not be repeated here.

[0142] A computer-readable storage medium is also provided in an embodiment of the present invention, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement any one of the tunnel waterlogging warning methods provided in the embodiments of the present invention.

[0143] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0144] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for early warning of water accumulation in a tunnel, characterized in that: At least two first flow detection units are provided at the tunnel entrance and exit, and at least one second flow detection unit is provided at the tunnel drainage outlet. The method comprises: S101: determining a plurality of waterlogging-sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging-sensitive area based on historical waterlogging data; S102: sorting the plurality of local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; dividing the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determining a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; S103: obtaining first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; calculating an inlet and outlet flow difference according to the first flow data and the second flow data, and determining the amount of accumulated water according to the inlet and outlet flow difference; S104: monitoring a waterlogging risk index in real time, and adjusting a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; S105: When the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold, a corresponding risk warning strategy is activated.

2. The method according to claim 1, characterized in that The historical water accumulation data includes a tunnel monitoring image when the tunnel is flooded and a historical water accumulation amount, and the tunnel monitoring image is associated with a passing timestamp of the historical water accumulation amount; The S101 includes: Based on a preset water accumulation recognition model, a first risk image of water overflowing from the water accumulation sensitive area and / or a second risk image of water accumulation in the water accumulation sensitive area merging with water accumulation in adjacent water accumulation sensitive areas to form a water accumulation zone are identified according to the tunnel monitoring image; The amount of water accumulation corresponding to the timestamp of the first risk image and / or the second risk image is obtained as a local water accumulation threshold of the water accumulation sensitive area.

3. The method according to claim 1, characterized in that Before S104, the method further includes: Acquire the historical waterlogging data, wherein the historical waterlogging data includes historical waterlogging volume, historical environmental climate, and historical associated water conditions associated with timestamps; The initial waterlogging risk model is trained according to the historical waterlogging volume, the historical environmental climate, and the historical associated water conditions to obtain a preset waterlogging risk model. The preset waterlogging risk model is used to predict the probability of waterlogging according to different associated water condition data and / or different environmental climate data.

4. The method according to claim 3, characterized in that: The S104 includes: Inputting the associated water condition data and / or the environmental climate data into the preset waterlogging risk model to obtain the waterlogging probability; When the probability of water accumulation is greater than a first probability threshold, lowering the second global threshold by a first preset value; When the water accumulation probability is less than a second probability threshold, the second global threshold is increased by a second preset threshold.

5. The method according to claim 1, characterized in that The S105 includes: When the amount of accumulated water is greater than the first global threshold, generating and sending a slippery road signal; and / or, The number of backup drainage facilities to be activated is calculated based on the inlet and outlet flow difference, and a corresponding number of backup drainage facilities are activated.

6. The method according to claim 1 or 5, characterized in that: The S105 includes: When the amount of accumulated water is greater than the second global threshold, generating and pushing a road speed limit signal; and / or, The locations of several waterlogging-sensitive areas are obtained; based on the locations of the several waterlogging-sensitive areas, a high-risk lane where the waterlogging-sensitive areas are densely distributed is determined, and a partial closure signal is generated and pushed based on the high-risk lane.

7. The method according to claim 6, characterized in that The S105 includes: When the amount of accumulated water is greater than a second global threshold, monitoring the inlet and outlet flow difference; If the inlet and outlet flow difference continues to be greater than the third global threshold within a preset time period, a water accumulation risk warning signal is generated and pushed, and the water accumulation warning signal is synchronized to the navigation system so that the navigation system can perform traffic planning in advance.

8. A tunnel waterlogging warning device, characterized in that: At least two first flow detection units are provided at the tunnel entrance and exit, and at least one second flow detection unit is provided at the tunnel drainage outlet, and the device comprises: A local waterlogging threshold module, used to determine a number of waterlogging sensitive areas inside each tunnel and a local waterlogging threshold of each waterlogging sensitive area based on historical waterlogging data; A first global threshold module is used to sort the local water accumulation thresholds according to the threshold values ​​to obtain a threshold distribution sequence; divide the threshold distribution sequence into a first sequence and a second sequence based on a preset ratio, and determine a first global threshold according to the local water accumulation threshold at the boundary between the first sequence and the second sequence; A water volume monitoring module, used for acquiring first flow data collected by at least two of the first flow detection units and second flow data collected by at least one of the second flow detection units; Calculating an inlet and outlet flow difference according to the first flow data and the second flow data, and determining the amount of accumulated water according to the inlet and outlet flow difference; A second global threshold module is used to monitor the waterlogging risk index in real time, and adjust a preset second global threshold according to the waterlogging risk index, wherein the second global threshold is greater than the first global threshold; wherein the waterlogging risk index includes at least one of associated water condition data and environmental climate data; The risk warning strategy module is used to enable the corresponding risk warning strategy when the amount of accumulated water exceeds the first global threshold or the amount of accumulated water exceeds the second global threshold.

9. A computer device, characterized in that: The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the tunnel water accumulation early warning method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the tunnel water accumulation early warning method according to any one of claims 1 to 7.

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