Urban tunnel rainfall ponding depth and disposal time prediction method and prediction system

Abstract

The invention provides an urban tunnel rainfall ponding depth and disposal time prediction method and prediction system, and belongs to the field of urban tunnel rainfall ponding depth and disposal time prediction. The prediction method comprises the following steps: S1, collecting and acquiring data related to urban tunnel rainfall flood; s2, according to the tunnel topographic data and the current weather of the flood accident, the actual rainfall catchment amount around the tunnel is obtained; s3, calculating the amount of accumulated water in the tunnel according to the tunnel structure data and the flood observation data; s4, according to the rainfall catchment amount and the accumulated water amount in the tunnel, the actual water discharge amount of the tunnel rainwater drainage system is calculated; s5, the drainage efficiency of the tunnel drainage system is calculated according to the actual drainage amount and the rainfall catchment amount; s6, according to the drainage efficiency, predicting and calculating the amount of accumulated water in the tunnel under different rainfall capacities and different rainfall time; and S7, according to the predicted water accumulation amount in the tunnel, calculating the predicted water accumulation depth and disposal time of the tunnel.

Description

Technical Field

[0001] The invention relates to the field of prediction of rainfall water accumulation depth and disposal time in urban tunnels, and in particular to a method and a prediction system for prediction of rainfall water accumulation depth and disposal time in urban tunnels. Background Art

[0002] With large-scale urbanization, a large number of modern infrastructure such as roads, bridges, and tunnels have emerged. Global climate change such as global warming and the urban heat island effect caused by large-scale urbanization have caused rainfall in urban areas to show a certain degree of extreme trend. Under the combined effect of these two factors, tunnel infrastructure, as a representative of low-lying areas in cities, faces a great risk of flooding. Therefore, predicting the flooding of urban tunnels under possible extreme rainfall conditions in advance has great economic and social significance for urban operation management.

[0003] Most of the existing patents on tunnel water depth are focused on using sensors to monitor water accumulation. This real-time monitoring can timely grasp the current situation, but even if a dangerous situation occurs, the tunnel operation management department does not have enough time to prepare materials and respond, which places extremely high demands on emergency management. Secondly, neural networks are used to predict the flow rate in urban areas and then calculate the depth of water accumulation, but this method is too theoretical and has poor calculation effects on specific tunnels.

[0004] Therefore, there is currently no method for predicting the depth and treatment time of rainfall waterlogging in urban tunnels based on the actual waterlogging conditions in urban tunnels. Summary of the invention

[0005] The present invention is made to solve the above-mentioned problem, and aims to provide a method and system for predicting the depth and disposal time of rainfall water accumulation in urban tunnels.

[0006] The present invention provides a method for predicting the depth and treatment time of rainfall water accumulation in urban tunnels, which has the following characteristics and includes the following steps: S1, collecting and acquiring data related to rainfall and floods in urban tunnels, the data including tunnel topography data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data; S2, obtaining the actual rainfall water collection V1 around the tunnel based on the tunnel topography data and the weather on the day of the flood accident; S3, calculating the water accumulation V2 inside the tunnel based on the tunnel structure data and the flood observation data; S4, calculating the actual drainage V3 of the tunnel rainwater drainage system based on the rainfall water collection V1 and the water accumulation V2 inside the tunnel; S5, calculating the drainage efficiency η of the tunnel drainage system based on the actual drainage V3 and the rainfall water collection V1; S6, predicting and calculating the drainage efficiency η at different rainfall amounts q based on the drainage efficiency η. i and different rainfall times t i Water accumulation in the lower tunnel U i ; S7, according to the predicted amount of water accumulated inside the tunnel Ui , calculate the predicted tunnel water depth h x and treatment time T x .

[0007] The method and system for predicting the depth and treatment time of rainfall water accumulation in urban tunnels provided by the present invention may also have the following features: wherein, in step S1, the tunnel terrain data includes the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface, and the tunnel drainage system data includes the rated flow Q of the wastewater pump room. f The tunnel structure data include the tunnel internal width W, the left slope of the tunnel low point α, the right slope of the tunnel low point β, and the weather on the day of the flood accident include the rainfall intensity Q r and rainfall duration T r , flood observation data include water depth h1 meter and water length L w rice.

[0008] The method and system for predicting the depth and treatment time of rainfall accumulation in urban tunnels provided by the present invention may also have the following features: wherein, in step S2, the specific process of calculating the rainfall accumulation amount V1 includes: S201, according to the rainfall intensity Q r and rainfall duration T r Get the rainfall per unit area C r , C r =Q r *T r ; S202, according to the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface, the catchment area S3 related to the tunnel is obtained, S3 = S1 + S2; S203, according to the rainfall C r And the catchment area S3 to obtain the rainfall catchment V1, V1 = C r *S3*Ψ, Ψ is the surface runoff coefficient.

[0009] The urban tunnel rainfall water accumulation depth and treatment time prediction method and prediction system provided by the present invention may also have the following characteristics: wherein Ψ is determined comprehensively based on the tunnel pavement and surrounding terrain conditions and in accordance with the "Outdoor Drainage Design Code" (GB50014-2006) (2016 edition).

[0010] The method and system for predicting the depth and treatment time of water accumulation in urban tunnels during rainfall provided by the present invention may also have the following features: wherein, in step S3, the specific process of calculating the water accumulation volume V2 inside the tunnel includes: S301, the lowest point of the tunnel is a flat road surface, which is approximated as a plane, and the distance between the lowest plane and the geometric lowest point o where the road surface lines on both sides intersect is h0 meters, then h0=L w / (1 / tanα+1 / tanβ)-h1; S302, the volume V represented by the triangle COD of the water section21 =0.5*L w *(h1+h0)*B, the volume V represented by the water section triangle AOB 22 =0.5*(h0 / tanα+h0 / tanβ)*h0*B; S303, the amount of water accumulated inside the tunnel is V2=V 21 -V 22 .

[0011] The method and system for predicting rainfall water accumulation depth and treatment time in urban tunnels provided by the present invention may also have the following features: wherein, in step S4, V3 = V1 - V2.

[0012] The method and system for predicting rainfall water accumulation depth and disposal time in urban tunnels provided by the present invention may also have the following characteristics: wherein, in step S5, η=V3 / V1.

[0013] The method and system for predicting the depth and treatment time of rainwater accumulation in urban tunnels provided by the present invention may also have the following features: wherein, in step S6, U i =Σ(different rainfall intensity q i * Corresponding rainfall time t i )*catchment area S3*(1-η).

[0014] The method and system for predicting the depth and treatment time of rainfall water accumulation in urban tunnels provided by the present invention may also have the following features: wherein, in step S7, T x =U i / Q f .

[0015] The present invention also provides a system for predicting the depth and treatment time of rainfall waterlogging in urban tunnels, which has the following characteristics: a data acquisition unit, which collects and acquires data related to rainfall and floods in urban tunnels, the data including tunnel topography data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data; a rainfall water volume calculation unit, which obtains the actual rainfall water volume V1 around the tunnel according to the tunnel topography data and the weather on the day of the flood accident; a tunnel internal water volume calculation unit, which calculates the tunnel internal water volume V2 according to the tunnel structure data and the flood observation data; an actual drainage volume calculation unit, which calculates the actual drainage volume V3 of the tunnel rainwater drainage system according to the rainfall water volume V1 and the tunnel internal water volume V2; a drainage efficiency calculation unit, which calculates the drainage efficiency η of the tunnel drainage system according to the actual drainage volume V3 and the rainfall water volume V1; a tunnel internal water volume prediction unit, which predicts and calculates different rainfall volumes q according to the drainage efficiency η. i and different rainfall times t i Water accumulation in the lower tunnel U i; The tunnel water depth and treatment time prediction department, based on the predicted tunnel internal water volume U i , calculate the predicted tunnel water depth h x and treatment time T x .

[0016] Functions and Effects of the Invention

[0017] According to the method and system for predicting the depth and treatment time of rainfall water accumulation in urban tunnels involved in the present invention, the prediction method first collects and obtains data related to rainfall floods in urban tunnels, including tunnel terrain data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data, and then obtains the drainage efficiency η of the tunnel drainage system based on these data, and then predicts different rainfall amounts q i and different rainfall times t i Water depth in the lower tunnel h x and treatment time T x Therefore, the prediction results are closer to the actual drainage conditions of the tunnel and more accurate, and can provide sufficient response time and guidance for the material preparation and response time of the tunnel operation management department in advance according to the weather forecast information, which is of great application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of a method for predicting rainfall water depth and disposal time in an urban tunnel in Embodiment 1 of the present invention;

[0019] Figure 2 It is a schematic diagram of calculating the tunnel water depth in Example 1 of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the following embodiments and the accompanying drawings specifically illustrate the method and system for predicting the depth of rainfall water accumulation and treatment time in urban tunnels of the present invention.

[0021] Example 1

[0022] This embodiment provides a method and system for predicting the depth and disposal time of rainfall waterlogging in urban tunnels.

[0023] Figure 1 It is a flow chart of the method for predicting the depth of rainfall water accumulation and treatment time in urban tunnels in Example 1 of the present invention.

[0024] like Figure 1 As shown in FIG. 1 , the method for predicting the depth of rainfall water accumulation and the treatment time in urban tunnels includes the following steps:

[0025] S1. Collect and obtain data related to rainfall and flooding in urban tunnels, including tunnel terrain data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data.

[0026] In step S1, the tunnel terrain data includes the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface. The tunnel drainage system data includes the rated flow Q f The tunnel structure data includes the tunnel internal width W, the left slope of the tunnel low point α, and the right slope of the tunnel low point β. The flood observation data includes the water depth h1 meter and the water length L w Meter. The weather on the day of the flood incident included the rainfall intensity Q r and rainfall duration T r .

[0027] S2. According to the tunnel topographic data and the weather on the day of the flood accident, the actual rainfall water volume V1 around the tunnel is obtained.

[0028] In step S2, the specific process of calculating the rainfall catchment volume V1 includes:

[0029] S201, according to the rainfall intensity Q r and rainfall duration T r Get the rainfall per unit area C r , C r =Q r *T r ;

[0030] S202, obtaining the catchment area S3 related to the tunnel according to the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface, S3 = S1 + S2;

[0031] S203, according to rainfall C r And the catchment area S3 to obtain the rainfall catchment V1, V1 = C r *S3*Ψ, Ψ is the surface runoff coefficient. Among them, Ψ is determined comprehensively according to the tunnel pavement and surrounding terrain conditions and the "Outdoor Drainage Design Code" (GB50014-2006) (2016 edition).

[0032] S3. Calculate the amount of water V2 inside the tunnel based on the tunnel structure data and flood observation data.

[0033] In step S3, the specific process of calculating the amount of water accumulated inside the tunnel V2 includes:

[0034] Figure 2 It is a schematic diagram of calculating the tunnel water depth in Example 1 of the present invention.

[0035] S301, such as Figure 2As shown, the lowest point of the tunnel is a flat road surface, which is approximated as a plane. The distance between the lowest plane and the geometric lowest point o where the road surface lines on both sides intersect is h0 meters, so h0 = L w / (1 / tanα+1 / tanβ)-h1;

[0036] S302, the volume V represented by the triangle COD of the water section 21 =0.5*L w *(h1+h0)*B, the volume V represented by the water section triangle AOB 22 =0.5*(h0 / tanα+h0 / tanβ)*h0*B;

[0037] S303, water accumulation inside the tunnel V2 = V 21 -V 22 .

[0038] S4, according to the rainfall water collection volume V1 and the water accumulation volume V2 inside the tunnel, calculate the actual drainage volume V3 of the tunnel rainwater drainage system. In step S4, V3 = V1-V2.

[0039] S5. Calculate the drainage efficiency η of the tunnel drainage system (intercepting ditch between the external road and the tunnel approach, intercepting ditch of the tunnel rainwater pump house, drainage system of the rainwater pump house, etc.) according to the actual drainage volume V3 and the rainfall water collection volume V1. In step 5, η = V3 / V1.

[0040] S6. Predict and calculate different rainfall amounts q based on drainage efficiency η i and different rainfall times t i Water accumulation in the lower tunnel U i In step 6, U i =Σ(different rainfall intensity q i * Corresponding rainfall time t i )*catchment area S3*(1-η).

[0041] S7, according to the instructions Figure 2 Calculate the amount of water accumulated in the tunnel as U i =0.5*(h0+hx)*((h0+hx) / tanα+(h0+h x ) / tanβ), calculate the predicted tunnel water depth Predicted treatment time T x =U i / Q f .

[0042] The present embodiment also provides a system for predicting the depth of rainfall waterlogging and the time for handling in urban tunnels, including a data acquisition unit, a rainfall water volume calculation unit, a rainfall water volume calculation unit, an actual drainage volume calculation unit, a drainage efficiency calculation unit, a tunnel internal water volume prediction unit, and a tunnel waterlogging depth and handling time prediction unit.

[0043] The data acquisition unit collects and acquires data related to rainfall floods in urban tunnels according to the above step S1, and the data includes tunnel topography data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data.

[0044] The rainfall water collection calculation unit obtains the actual rainfall water collection V1 around the tunnel according to the tunnel topographic data and the weather on the day of the flood accident in step S2.

[0045] The rainfall runoff calculation unit calculates the amount of water V2 inside the tunnel based on the tunnel structure data and flood observation data in step S3.

[0046] The actual drainage volume calculation unit calculates the actual drainage volume V3 of the tunnel rainwater drainage system according to the rainfall water collection volume V1 and the water accumulation volume V2 inside the tunnel in step S4.

[0047] The drainage efficiency calculation unit calculates the drainage efficiency η of the tunnel drainage system according to the actual drainage volume V3 and the rainfall water collection volume V1 in step S5.

[0048] The tunnel internal water accumulation prediction unit predicts and calculates different rainfall amounts q according to the drainage efficiency η in step S6. i and different rainfall times t i Water accumulation in the lower tunnel U i .

[0049] The tunnel water depth and treatment time prediction unit calculates the tunnel water volume U according to the predicted tunnel water volume U according to step S7. i , calculate the predicted tunnel water depth h x and treatment time T x .

[0050] Through the prediction method of urban tunnel rainfall water depth and disposal time, the system can automatically realize the prediction of different rainfall amounts. i and different rainfall times t i Water depth in lower tunnel h x and treatment time T x prediction.

[0051] Example 2

[0052] This embodiment provides an application example of a method for predicting rainfall water depth and disposal time in urban tunnels.

[0053] The method for predicting the depth and disposal time of rainfall water accumulation in urban tunnels includes the following steps:

[0054] S1. Collect and obtain data related to rainfall and flooding in a tunnel in the city. These data include: (1) weather conditions on the day of the flood accident (rainfall intensity Q r and rainfall duration T r ): The rainfall in the affected tunnel lasted for 1 hour on that day, of which the heavy rain with an intensity of 92mm / h lasted for about 20min, and the rainfall intensity was about 50mm / h during the rest of the time.

[0055] (2) Tunnel topographic data (the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface): S1 is approximately 3957.8m 2 , S2 is about 3957.8m 2 .

[0056] (3) Tunnel structure data (tunnel internal width W, slope α on the left side of the tunnel low point, slope β on the right side of the tunnel low point): The slope tanα on the left side of the tunnel lowest point is 0.33, the slope tanβ on the right side is 0.4, and the tunnel width B is 11 m.

[0057] (4) Flood observation data (water depth h1 meter and water length L w m): The depth of water in the tunnel h1 can be measured on site, which is 20 cm, and the length of water is L w About 35m.

[0058] (5) Tunnel drainage system data (rated flow rate Q of wastewater pump room) f ): Q f 78m 3 / h.

[0059] S2. According to the tunnel topographic data and the weather on the day of the flood accident, the actual rainfall water volume V1 around the tunnel is obtained.

[0060] In step S2, the specific process of calculating the rainfall catchment volume V1 includes:

[0061] S201, according to the rainfall intensity Q r and rainfall duration T r Get the rainfall per unit area C r , C r =Q r *T r =92 / 1000*(1 / 3)+50 / 1000*(2 / 3)=0.064m.

[0062] S202, based on the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface, the catchment area S3 related to the tunnel is obtained, S3 = S1 + S2 = 3957.8 + 3042.2 = 7000m2 .

[0063] S203, according to rainfall C r And the catchment area S3 to obtain the rainfall catchment V1, V1 = C r *S3*Ψ, Ψ is the surface runoff coefficient. Among them, Ψ is determined based on the tunnel pavement and surrounding terrain, and in accordance with the "Outdoor Drainage Design Code" (GB50014-2006) (2016 edition). The Ψ of this tunnel is 1.0. The calculation results show that V1 = 0.064 * 7000 = 448m 3

[0064] S3. Calculate the amount of water V2 inside the tunnel based on the tunnel structure data and flood observation data.

[0065] In step S3, the specific process of calculating the amount of water accumulated inside the tunnel V2 includes:

[0066] S301, such as Figure 2 As shown, the lowest point of the tunnel is a flat road surface, which is approximated as a plane. The distance between the lowest plane and the geometric lowest point o where the road surface lines on both sides intersect is h0 meters, so h0 = L w / (1 / tanα+1 / tanβ)-h1=35 / (1 / 0.33+1 / 0.4)-0.2=6.13m;

[0067] S302, the volume V represented by the triangle COD of the water section 21 =0.5*L w *(h1+h0)*B=0.5*35*(0.2+6.13)*11=1218.70m 3 , the volume V represented by the water section triangle AOB 22 =0.5*(h0 / tanα+h0 / tanβ)*h0*B=0.5*(6.13 / 0.33+6.13 / 0.4)*6.13*11=1142.90m 3 ;

[0068] S303, water accumulation inside the tunnel V2 = V 21 -V 22 =1218.70-1142.90=75.8m 3 .

[0069] S4. Calculate the actual drainage volume V3 of the tunnel rainwater drainage system based on the rainfall water volume V1 and the water volume V2 inside the tunnel. In step S4, V3 = V1-V2 = 448-75.8 = 372.2m 3 .

[0070] S5. Calculate the drainage efficiency η of the tunnel drainage system based on the actual drainage volume V3 and the rainfall water collection volume V1. In step 5, η=V3 / V1=372.2 / 448=83.08%, and η=83% is used in the engineering estimate.

[0071] S6. Predict and calculate different rainfall amounts q based on drainage efficiency η i and different rainfall times t i Water accumulation in the lower tunnel U i In step 6, U i =Σ(different rainfall intensity q i * Corresponding rainfall time t i )*catchment area S3*(1-η). Taking the case of a rainfall intensity of 50 mm / h and a rainfall time of 1 hour as an example, the amount of water accumulated inside the tunnel U can be calculated. i =50 / 1000*7000*(1-83%)=59.5m 3 .

[0072] S7. Calculate the predicted tunnel water depth Predicted treatment time T x =U i / Q f =0.76h.

[0073] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for predicting the depth and treatment time of rainfall waterlogging in urban tunnels, characterized in that: The following steps are involved: S1. Collect and obtain data related to rainfall and flooding in urban tunnels, including tunnel terrain data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data; S2, obtaining the actual rainfall water volume V1 around the tunnel according to the tunnel topographic data and the weather on the day of the flood accident; S3, calculating the amount of water V2 inside the tunnel according to the tunnel structure data and the flood observation data; S4, calculating the actual drainage volume V3 of the tunnel rainwater drainage system according to the rainfall water collection volume V1 and the water accumulation volume V2 inside the tunnel; S5, calculating the drainage efficiency η of the tunnel drainage system according to the actual drainage volume V3 and the rainfall water collection volume V1; S6. Predict and calculate different rainfall amounts q based on drainage efficiency η i and different rainfall times t i Water accumulation in the lower tunnel U i ; S7, according to the predicted amount of water accumulation U in the tunnel i , calculate the predicted tunnel water depth h x and treatment time T x .

2. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 1 is characterized by: in, In step S1, the tunnel terrain data includes the catchment area S1 of the tunnel approach section and the catchment area S2 of the external road surface. The tunnel drainage system data includes the rated flow Q of the wastewater pump room. f , The tunnel structure data includes the tunnel internal width W, the left slope α of the tunnel low point, and the right slope β of the tunnel low point. The weather conditions on the day of the flood incident include rainfall intensity Q r and rainfall duration T r , The flood observation data includes the water depth h1 meter and the water length L w rice.

3. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 2 is characterized by: in, In step S2, the specific process of calculating the rainfall water catchment V1 includes: S201, according to the rainfall intensity Q r and the rainfall duration T r Get the rainfall per unit area C r , C r =Q r *T r ; S202, obtaining a water catchment area S3 related to the tunnel according to the water catchment area S1 of the tunnel approach section and the water catchment area S2 of the external road surface, where S3=S1+S2; S203, according to the rainfall C r And the catchment area S3 obtains the rainfall catchment V1, V1 = C r *S3*Ψ, Ψ is the surface runoff coefficient.

4. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 3 is characterized by: in, ΨIt is determined comprehensively based on the tunnel pavement and surrounding terrain conditions and in accordance with the "Outdoor Drainage Design Code" (GB50014-2006) (2016 edition).

5. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 3 is characterized by: in, In step S3, the specific process of calculating the amount of water accumulated inside the tunnel V2 includes: S301. The lowest point of the tunnel is a flat road surface, which is approximated as a plane. The distance between the lowest plane and the geometric lowest point o where the road surface lines on both sides intersect is h0 meters, so h0 = L w / (1 / tanα+1 / tanβ)-h1; S302, the volume V represented by the triangle COD of the water section 21 =0.5*L w *(h1+h0)*B, the volume V represented by the water section triangle AOB 22 =0.5*(h0 / tanα+h0 / tanβ)*h0*B; S303, the amount of water accumulated inside the tunnel is V2 = V 21 -V 22 .

6. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 5 is characterized by: in, In step S4, V3=V1-V2.

7. The method for predicting the depth and treatment time of rainfall waterlogging in urban tunnels according to claim 6 is characterized by: in, In step S5, η=V3 / V1.

8. The method for predicting the depth and treatment time of rainwater accumulation in urban tunnels according to claim 7 is characterized by: in, In step S6, U i =Σ(different rainfall intensity q i * Corresponding rainfall time t i )*catchment area S3*(1-η).

9. The method for predicting the depth and treatment time of rainfall waterlogging in urban tunnels according to claim 7, characterized in that: in, In step S7, T x =U i / Q f .

10. A system for predicting the depth and treatment time of rainwater accumulation in urban tunnels, characterized in that: include: A data acquisition unit collects and acquires data related to rainfall and flooding in urban tunnels, including tunnel topography data, tunnel drainage system data, tunnel structure data, weather on the day of the flood accident, and flood observation data; A rainfall water collection calculation unit obtains the actual rainfall water collection V1 around the tunnel according to the tunnel terrain data and the weather on the day of the flood accident; A tunnel internal water accumulation volume calculation unit, which calculates the tunnel internal water accumulation volume V2 according to the tunnel structure data and the flood observation data; An actual drainage volume calculation unit calculates an actual drainage volume V3 of the tunnel rainwater drainage system according to the rainfall water collection volume V1 and the water accumulation volume V2 inside the tunnel; A drainage efficiency calculation unit, which calculates the drainage efficiency η of the tunnel drainage system according to the actual drainage volume V3 and the rainfall water collection volume V1; The tunnel internal water accumulation prediction unit predicts and calculates different rainfall amounts q based on the drainage efficiency η i and different rainfall times t i Water accumulation in the lower tunnel U i ; The tunnel water accumulation depth and treatment time prediction unit, according to the predicted tunnel internal water accumulation amount U i , calculate the predicted tunnel water depth h x and treatment time T x .

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