Single-track tunnel drilling and blasting method construction wastewater discharge capacity calculation method based on clean-up diversion system

Abstract

The invention provides a single-track tunnel drilling and blasting method construction wastewater discharge capacity calculation method based on a clean-up diversion system, and relates to the technical field of tunnel wastewater discharge capacity calculation, and the method specifically comprises the following steps: collecting tunnel size parameters, historical wastewater discharge capacity and other parameters, and obtaining geological environment information at the same time; then, generating a size influence coefficient influencing the capacity of the excavation equipment through data processing, and constructing a mapping function to predict the current wastewater discharge amount; besides, a hydrogeological model is constructed, an environment scoring coefficient is obtained through historical data training, and the environment scoring coefficient is combined with the current wastewater discharge amount to generate the actual wastewater discharge amount. According to the invention, abundant data is provided for prediction of the wastewater discharge amount; a size influence coefficient, a capability evaluation index and a mapping function are introduced, so that prediction is more scientific and reasonable, tunnel physical characteristics and equipment capability are combined, and resource waste is reduced; a geological environment model is constructed and an environment scoring coefficient is introduced to dynamically adapt to different geological conditions, so that the prediction accuracy is improved.

Description

Technical Field

[0001] The invention relates to the technical field of tunnel wastewater discharge volume calculation, and in particular to a method for calculating the discharge volume of wastewater discharged during construction of a single-line tunnel using a drilling and blasting method based on a clean-sewage diversion system. Background Art

[0002] The sewage diversion technology for tunnel construction wastewater discharge can be divided into five parts according to the diversion section: tunnel face section, tunnel primary branch section, tunnel secondary lining construction section, tunnel secondary lining forming section and tunnel entrance section. The sewage diversion technology system for railway tunnel drilling and blasting construction wastewater discharge mainly consists of temporary sump, mobile pump station, drainage blind pipe, drainage pipe, temporary drainage ditch, sedimentation tank and other parts.

[0003] In the prior art, the publication number CN114912298A discloses a method for calculating the sewage discharge volume of tunnel drilling and blasting construction. First, the normal water inflow Q' of the whole tunnel is calculated. Secondly, the contaminated groundwater inflow Q1 to be pumped out and the sewage discharge Q2 caused by the construction process during the tunnel construction are calculated according to the surrounding rock grade, construction season, and construction step. Finally, the single tunnel is calculated.

[0004] The sewage discharge volume Q during surface construction. The present invention ensures that relevant human and material resources are prepared before construction to avoid excessive deviations during construction and waste of resources. This method fills the gap in the specification and changes the problem of constantly replacing water pumps, water pipes, and sewage treatment facilities during the traditional tunnel construction process, so that appropriate construction machinery and supporting equipment, materials and manpower can be accurately selected during the construction organization plan; it fully considers factors such as the season of tunnel construction, supporting equipment for construction machinery, construction step distance, surrounding rock, etc., which plays an important role in reducing construction energy consumption and avoiding waste of resources.

[0005] However, there are still the following deficiencies: As can be seen from the above statements, the existing technology mainly focuses on factors such as surrounding rock grade, construction season and construction step distance, and lacks comprehensive collection of tunnel-related parameters (such as width, height and length) and geological environment parameters (such as water flow rate, water level elevation and rainfall), which leads to inaccurate calculation of sewage discharge and cannot reflect changes in the actual construction environment; the existing method does not fully consider the relationship between the physical properties of the tunnel (such as size influence) and the capacity assessment of the excavation equipment, resulting in large deviations in the prediction of wastewater discharge during the construction process, affecting the rational allocation of construction resources.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The object of the present invention is to provide a method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on a clean and dirty water diversion system, so as to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on a clean-sewage diversion system, the specific steps of which include:

[0010] S1. Tunnel related parameters and historical wastewater discharge, as well as historical and current geological environment parameters and tunnel excavation parameters of the tunnel area are collected through temporary sump, drainage blind pipe, drainage pipe, temporary drainage ditch and sedimentation tank in the sewage diversion technology system. Tunnel related parameters include tunnel width, height and length. Geological environment parameters include water flow rate, water level elevation and rainfall. Tunnel excavation parameters include drilling spacing, operation time, power output and propulsion speed of excavation equipment.

[0011] S2. Process the tunnel width, height and length to generate a size influence coefficient that affects the excavation capacity of the excavation equipment, process the historical drilling spacing, operation time, power output and propulsion speed of the excavation equipment to generate a historical capacity evaluation index that characterizes the excavation capacity of the excavation equipment, obtain the current capacity evaluation index based on the functional relationship between the drilling spacing, operation time, power output, propulsion speed and the capacity evaluation index, construct a mapping function between the size influence coefficient, the historical capacity evaluation index and the historical wastewater discharge, and predict the current wastewater discharge based on the mapping function, the size influence coefficient and the current capacity evaluation index;

[0012] S3. Construct a geological environment model, use the historically collected water flow rate, water level elevation and rainfall as a training set, use the environmental scoring coefficient as a label, input it into the hydrogeological model for training, input the currently collected water flow rate, water level elevation and rainfall into the trained geological environment model, and obtain the current environmental scoring coefficient;

[0013] S4. Process the current environmental rating coefficient and the current wastewater discharge volume to generate the actual wastewater discharge volume.

[0014] Furthermore, the tunnel width, height and length are processed to generate the size influence coefficient affecting the excavation capacity of the excavation equipment, based on the following formula:

[0015]

[0016] Among them, CX is the size influence coefficient, W is the tunnel width, H is the tunnel height, L is the tunnel length, V is the excavation speed, K1 is the first adjustment factor, and 0 < K1 < 1;

[0017] The value range of the size influence coefficient is 1 < CX < 10;

[0018] When CX is close to 1, it indicates that the influence of the tunnel size on the excavation equipment is small;

[0019] When CX is close to 10, it indicates that the influence of the tunnel size on the excavation equipment is large.

[0020] Furthermore, data processing is performed on the drilling spacing, operation time, power output, and propulsion speed of the historical excavation equipment to generate a historical ability evaluation index for characterizing the excavation ability of the excavation equipment. The basis formula is as follows:

[0021]

[0022] Among them, PZ is the historical ability evaluation index, TT is the historical operation time, PP is the historical power output, SS is the historical propulsion speed, DD is the historical drilling spacing, K2 is the second adjustment factor, 0 < K2 < 1, α is the weight factor of the operation time, β is the weight factor of the power output, γ is the weight factor of the propulsion speed, δ is the weight factor of the drilling spacing, 0 < δ < α < β < γ < 1, and δ + α + β + γ = 1.

[0023] Furthermore, based on the functional relationship among the drilling spacing, operation time, power output, propulsion speed, and ability evaluation index, the current drilling spacing, operation time, power output, and propulsion speed are input into the function to obtain the current ability evaluation index. The specific formula is as follows:

[0024]

[0025] Among them, PZ dq is the current ability evaluation index, TT dq is the current operation time, PP dq is the current power output, SS dq is the current propulsion speed, DD dq is the current drilling spacing.

[0026] Furthermore, a mapping function is constructed among the size influence coefficient CX, the historical ability evaluation index PZ, and the historical wastewater discharge. The specific process is as follows:

[0027] Collect sample data including the size influence coefficient CX, the historical ability evaluation index PZ, and the historical wastewater discharge;

[0028] Based on the assumption of linear relationship, a linear model is set:

[0029] FP=a×CX+b×PZ+c

[0030] Where FP is the historical wastewater discharge, a is the coefficient of the size effect factor, b is the coefficient of the historical capacity assessment index, and c is the intercept of the linear model;

[0031] Use the least squares method to apply the collected data to the linear model, fit the data, and determine the coefficients a and b, as well as the intercept c of the optimal linear model;

[0032] Based on the obtained linear model and coefficients a and b, as well as the intercept c, a mapping function between the size influence coefficient CX, the historical capacity assessment index PZ and the historical wastewater discharge FP is constructed, and the above linear model is regarded as a mapping function;

[0033] The mapping function is used for prediction and analysis. According to the given size influence coefficient CX and the current capacity evaluation index, the current wastewater discharge is predicted based on the following formula:

[0034] FP dq =a×CX+b×PZ dq +c

[0035] Among them, FP dq is the current wastewater discharge volume.

[0036] Furthermore, the geological environment model is a convolutional neural network model, which is composed of a deep neural network based on a multilayer perceptron. The deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer. The first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons, and each uses ReLU as an activation function.

[0037] Furthermore, the current environmental rating coefficient and the current wastewater discharge are processed to generate the actual wastewater discharge according to the following formula:

[0038] FP sj =(1+HX dq )×FP dq

[0039] Among them, FP sj is the actual wastewater discharge, HX dq is the current environmental rating coefficient;

[0040] When HX dq When increasing, (1+HX dq ) value increases, which means that the actual wastewater discharge FPsj Increase;

[0041] When HX dq When decreasing, (1+HX dq ) value decreases, which means that the actual wastewater discharge FP sj Reduce.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention forms a more comprehensive and accurate database by collecting various relevant parameters and environmental factors of the tunnel, which provides rich input data for subsequent displacement calculations and significantly improves the accuracy of predictions; by introducing the size influence coefficient, the current capacity evaluation index and the mapping function, the current wastewater discharge can be predicted, and the physical characteristics of the tunnel are effectively combined with the equipment capacity, making the prediction of the current wastewater discharge more scientific and reasonable. This method of comprehensively considering different factors can significantly reduce the waste of resources caused by unforeseen factors in actual construction; by constructing a geological environment model, an environmental scoring coefficient based on historical data training is introduced, so that the model can dynamically adapt to different geological environmental conditions. This dynamic adjustment capability improves the accuracy of wastewater discharge prediction and enhances the scientific nature of the construction plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0045] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0046] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0047] Example:

[0048] See also Figure 1 , the present invention provides a technical solution:

[0049] A method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on a clean-sewage diversion system, the specific steps of which include:

[0050] S1. Tunnel related parameters and historical wastewater discharge, as well as historical and current geological environment parameters and tunnel excavation parameters of the tunnel area are collected through temporary sump, drainage blind pipe, drainage pipe, temporary drainage ditch and sedimentation tank in the sewage diversion technology system. Tunnel related parameters include tunnel width, height and length. Geological environment parameters include water flow rate, water level elevation and rainfall. Tunnel excavation parameters include drilling spacing, operation time, power output and propulsion speed of excavation equipment.

[0051] S2. Process the tunnel width, height and length to generate a size influence coefficient that affects the excavation capacity of the excavation equipment, process the historical drilling spacing, operation time, power output and propulsion speed of the excavation equipment to generate a historical capacity evaluation index that characterizes the excavation capacity of the excavation equipment, obtain the current capacity evaluation index based on the functional relationship between the drilling spacing, operation time, power output, propulsion speed and the capacity evaluation index, construct a mapping function between the size influence coefficient, the historical capacity evaluation index and the historical wastewater discharge, and predict the current wastewater discharge based on the mapping function, the size influence coefficient and the current capacity evaluation index;

[0052] S3. Construct a geological environment model, use the historically collected water flow rate, water level elevation and rainfall as a training set, and use the environmental scoring coefficient as a label, input it into the hydrogeological model for training, input the currently collected water flow rate, water level elevation and rainfall into the trained geological environment model, and obtain the current environmental scoring coefficient, which is obtained through the evaluation of the expert group;

[0053] S4. Process the current environmental rating coefficient and the current wastewater discharge volume to generate the actual wastewater discharge volume.

[0054] On the basis of the above embodiments, the clean and sewage diversion technical system includes a temporary sump, a drainage blind pipe, a drainage pipe, a temporary drainage ditch and a sedimentation tank. The temporary sump is located on both sides of the primary branch section tunnel close to the face, and is divided into a clean water sump and a sewage sump, which are used to collect clean water and sewage at the face respectively. The drainage blind pipe is arranged in a circumferential direction along the primary branch section of the tunnel to collect the seepage water of the primary branch section and drain the clean water to the clean water tank. The drainage pipe is arranged on the walls on both sides of the primary branch section of the tunnel to transport the water in the sump to the temporary drainage ditch. The temporary drainage ditch is arranged on both sides of the bottom of the tunnel side wall and is divided into a temporary drainage ditch for the secondary lining construction section of the tunnel. The temporary drainage ditch of the second lining forming section of the tunnel is used to receive the clean and sewage pumped from the clean water tank and the sewage tank, as well as the seepage of the tunnel wall in the initial branch section and the underground seepage of the invert arch section. The temporary drainage ditch of the second lining forming section of the tunnel includes the front ditch section and the rear ditch section. The former has no partition wall in the side ditch and is used to receive the pumped clean water or sewage; the latter is provided with a clean and sewage diversion partition. The sedimentation tank is located outside the tunnel entrance and is divided into a grit tank and a sewage treatment sedimentation tank. The former is used to receive the clean water discharged from the drainage ditch of the second lining forming section; the latter is used to receive the sewage discharged from the drainage ditch of the second lining forming section and carry out sewage treatment. The drainage and sewage diversion technology for railway tunnel construction using the drilling and blasting method is as follows: first, the clean and sewage from the tunnel face and primary branch section are drained to temporary sump pits; then, the clean and sewage are pumped to the temporary drainage ditch of the tunnel secondary lining construction section, and are drained to the drainage ditch of the tunnel secondary lining forming section through the clean and sewage diversion baffles. At the same time, the sewage on the road surface in the tunnel is directly flushed to the sewage ditches on both sides of the road surface; when there is a reverse slope section, a mobile pumping station is set up; finally, the clean and sewage are drained to the sedimentation tank for treatment and discharged to the local drainage system or reused.

[0055] On the basis of the above embodiments, a laser rangefinder is used to measure the width, height and length of the tunnel, and the distance is calculated by emitting a laser beam and measuring the time for the laser beam to return, so as to obtain the dimensional parameters of the tunnel; a buoy current meter, an ultrasonic current meter or an electromagnetic current meter is installed in the water flow for real-time measurement to obtain the water flow rate; a pressure level gauge, a float water level gauge or a piezoresistive water level gauge is used to obtain the water level elevation data by measuring the water pressure, buoyancy or resistance principle; a tipping bucket rain gauge, a float rain gauge or an acousto-optic rain gauge is used to obtain the rainfall by measuring the accumulation of rainwater; an acceleration sensor and a speed sensor are used to monitor the vibration and speed of the excavation equipment in real time to obtain the propulsion speed; a GPS positioning system is installed to record the location information and movement trajectory of the excavation equipment in real time, so as to calculate the drilling spacing and the excavation distance; the working time and working status of the excavation equipment, including the start time and stop time, are recorded through the work log record on the equipment or the operation record function of the operation interface; and a power sensor installed on the excavation equipment is used to monitor the power output of the equipment in real time.

[0056] Based on the above embodiments, the tunnel width, height, and length are processed to generate a size influence coefficient for affecting the excavation ability of the excavation equipment. The formula is as follows:

[0057]

[0058] Where CX is the size influence coefficient, W is the tunnel width, H is the tunnel height, L is the tunnel length, V is the excavation speed, K1 is the first adjustment factor, and 0 < K1 < 1.

[0059] The value range of the size influence coefficient is 1 < CX < 10;

[0060] When CX is close to 1, it indicates that the tunnel size has little influence on the excavation equipment;

[0061] When CX is close to 10, it indicates that the tunnel size has a great influence on the excavation equipment.

[0062] Based on the above embodiments, the drilling spacing, operation time, power output, and propulsion speed of the historical excavation equipment are processed to generate a historical ability evaluation index for characterizing the excavation ability of the excavation equipment. The formula is as follows:

[0063]

[0064] Where PZ is the historical ability evaluation index, TT is the historical operation time, PP is the historical power output, SS is the historical propulsion speed, DD is the historical drilling spacing, K2 is the second adjustment factor, 0 < K2 < 1, α is the weight factor of the operation time, β is the weight factor of the power output, γ is the weight factor of the propulsion speed, and δ is the weight factor of the drilling spacing.

[0065] The influence of the propulsion speed SS on the ability evaluation index PZ of the excavation equipment is the greatest because the propulsion speed SS directly reflects the efficiency and production capacity of the excavation equipment. A higher propulsion speed SS means that the equipment can complete the excavation task faster, thus improving production efficiency and capacity. The power output PP represents the power and working intensity of the equipment, which has a direct impact on the production capacity and working efficiency of the equipment. Compared with the propulsion speed SS, its influence on the ability evaluation index PZ of the excavation equipment is smaller. The influence of the operation time TT and the drilling spacing DD on the ability evaluation index is relatively small. The operation time TT is the duration of the equipment's continuous operation, which has a certain impact on the evaluation of the equipment's ability, but it is smaller compared with the propulsion speed SS and the power output PP. The drilling spacing DD represents the distance between the holes in the excavation task, which also has a certain impact on the evaluation of the equipment's ability, but its influence is relatively small.

[0066] In summary, the propulsion speed SS has the greatest impact on the capability evaluation index PZ, followed by the power output PP, while the operation time TT and the drilling spacing DD have relatively small effects. Therefore, 0<δ<α<β<γ<1 is set, and in the case of only the above parameters, δ+α+β+γ=1 is set.

[0067] On the basis of the above embodiment, according to the functional relationship between the drilling spacing, operation time, power output, propulsion speed and the capability evaluation index, the current drilling spacing, operation time, power output and propulsion speed are input into the function to obtain the current capability evaluation index. The specific formula is as follows:

[0068]

[0069] Among them, PZ dq is the current capability assessment index, TT dq is the current operation time, PP dq is the current power output, SS dq is the current advancement speed, DD dq is the current drilling spacing.

[0070] On the basis of the above embodiment, a mapping function is constructed between the size influence coefficient CX, the historical capacity evaluation index PZ and the historical wastewater discharge. The specific process is as follows:

[0071] Collect sample data including size influence coefficient CX, historical capacity assessment index PZ and historical wastewater discharge;

[0072] Based on the assumption of linear relationship, a linear model is set:

[0073] FP=a×CX+b×PZ+c

[0074] Where FP is the historical wastewater discharge, a is the coefficient of the size effect factor, b is the coefficient of the historical capacity assessment index, and c is the intercept of the linear model;

[0075] Use the least squares method to apply the collected data to the linear model, fit the data, and determine the coefficients a and b, as well as the intercept c of the optimal linear model;

[0076] Based on the obtained linear model and coefficients a and b, as well as the intercept c, a mapping function between the size influence coefficient CX, the historical capacity assessment index PZ and the historical wastewater discharge FP is constructed, and the above linear model is regarded as a mapping function;

[0077] The mapping function is used for prediction and analysis. According to the given size influence coefficient CX and the current capacity evaluation index, the current wastewater discharge is predicted based on the following formula:

[0078] FP dq =a×CX+b×PZ dq +c

[0079] Among them, FP dq is the current wastewater discharge volume.

[0080] On the basis of the above embodiment, the geological environment model is a convolutional neural network model, which is composed of a deep neural network based on a multilayer perceptron. The deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer. The first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons, and each uses ReLU as an activation function.

[0081] In this embodiment, the input features of the deep neural network of the multilayer perceptron include three features: water flow rate, water level elevation and rainfall.

[0082] The structure of a deep neural network with a multilayer perceptron is:

[0083] Input layer**: receives input of 3 features;

[0084] The first hidden layer has 64 neurons and uses ReLU as the activation function.

[0085] The second hidden layer has 128 neurons and also uses the ReLU activation function.

[0086] The third hidden layer has 64 neurons and uses the ReLU activation function.

[0087] Output layer: has a single neuron, the current environment rating coefficient.

[0088] On the basis of the above embodiment, the current environmental rating coefficient and the current wastewater discharge are processed to generate the actual wastewater discharge according to the following formula:

[0089] FP sj =(1+HX dq )×FP dq

[0090] Among them, FP sj is the actual wastewater discharge, HX dq is the current environmental rating coefficient.

[0091] When HX dq When increasing, (1+HX dq ) value increases, which means that the actual wastewater discharge FP sj Increase;

[0092] When HX dq When decreasing, (1+HX dq ) value decreases, which means that the actual wastewater discharge FP sj Reduce.

[0093] The specific values ​​of α, β, γ and δ in the formula are generally determined by technical personnel in this field according to actual conditions. The essence of this formula is a comprehensive analysis based on weighted summation. Technical personnel in this field collect multiple groups of sample data, and set corresponding weight factors for each group of sample data. The set weight factors and the collected sample data are substituted into the formula. Through repeated experiments and parameter adjustments, the accuracy of the model output and the rationality of the results are observed, and these weight factors are gradually adjusted. The performance and effect of the model under different parameter settings are compared to find the optimal combination of coefficients. The calculated weight factors are screened and averaged to obtain the values ​​of α, β, γ and δ.

[0094] In addition, the size of the weight factor is a specific value obtained by quantifying each parameter. In order to facilitate subsequent comparison, the size of the weight factor depends on the amount of sample data and the technical personnel in this field preliminarily set the corresponding weight factor for each set of sample data. It is not unique as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0095] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0096] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0097] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0098] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on a clean-up and sewage diversion system, characterized in that: The specific steps include: S1. Tunnel related parameters and historical wastewater discharge, as well as historical and current geological environment parameters and tunnel excavation parameters of the tunnel area are collected through temporary sump, drainage blind pipe, drainage pipe, temporary drainage ditch and sedimentation tank in the sewage diversion technology system. Tunnel related parameters include tunnel width, height and length. Geological environment parameters include water flow rate, water level elevation and rainfall. Tunnel excavation parameters include drilling spacing, operation time, power output and propulsion speed of excavation equipment. S2. Process the tunnel width, height and length to generate a size influence coefficient that affects the excavation capacity of the excavation equipment, process the historical drilling spacing, operation time, power output and propulsion speed of the excavation equipment to generate a historical capacity evaluation index that characterizes the excavation capacity of the excavation equipment, obtain the current capacity evaluation index based on the functional relationship between the drilling spacing, operation time, power output, propulsion speed and the capacity evaluation index, construct a mapping function between the size influence coefficient, the historical capacity evaluation index and the historical wastewater discharge, and predict the current wastewater discharge based on the mapping function, the size influence coefficient and the current capacity evaluation index; S3. Construct a geological environment model, use the historically collected water flow rate, water level elevation and rainfall as a training set, use the environmental scoring coefficient as a label, input it into the hydrogeological model for training, input the currently collected water flow rate, water level elevation and rainfall into the trained geological environment model, and obtain the current environmental scoring coefficient; S4. Process the current environmental rating coefficient and the current wastewater discharge volume to generate the actual wastewater discharge volume.

2. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 1 is characterized by: The tunnel width, height and length are processed to generate the size influence coefficient that affects the excavation capacity of the excavation equipment, based on the following formula: Among them, CX is the size influence coefficient, W is the tunnel width, H is the tunnel height, L is the tunnel length, V is the excavation speed, K1 is the first adjustment factor, 0 <K1<1; The value range of the size influence coefficient is 1 <CX<10; When CX is close to 1, it means that the tunnel size has little effect on the excavation equipment; When CX is close to 10, it means that the tunnel size has a great impact on the excavation equipment.

3. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 2 is characterized by: The historical drilling spacing, operation time, power output and propulsion speed of the excavation equipment are processed to generate a historical capacity evaluation index for characterizing the excavation capacity of the excavation equipment, based on the following formula: Among them, PZ is the historical capacity evaluation index, TT is the historical operation time, PP is the historical power output, SS is the historical advancement speed, DD is the historical drilling spacing, K2 is the second adjustment factor, 0<K2<1, α is the weight factor of operation time, β is the weight factor of power output, γ is the weight factor of advancement speed, δ is the weight factor of drilling spacing, 0<δ<α<β<γ<1, δ+α+β+γ=1.

4. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 3 is characterized by: According to the functional relationship between drilling spacing, operation time, power output, propulsion speed and capability evaluation index, the current drilling spacing, operation time, power output and propulsion speed are input into the function to obtain the current capability evaluation index. The specific formula is as follows: Among them, PZ dq is the current capability assessment index, TT dq is the current operation time, PP dq is the current power output, SS dq is the current advancement speed, DD dq is the current drilling distance.

5. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 4 is characterized by: The mapping function between the size influence coefficient CX, the historical capacity evaluation index PZ and the historical wastewater discharge is constructed. The specific process is as follows: Collect sample data including size influence coefficient CX, historical capacity assessment index PZ and historical wastewater discharge; Based on the assumption of linear relationship, a linear model is set: FP=a×CX+b×PZ+c Where FP is the historical wastewater discharge, a is the coefficient of the size effect factor, b is the coefficient of the historical capacity assessment index, and c is the intercept of the linear model; Use the least squares method to apply the collected data to the linear model, fit the data, and determine the coefficients a and b, as well as the intercept c of the optimal linear model; Based on the obtained linear model and coefficients a and b, as well as the intercept c, a mapping function between the size influence coefficient CX, the historical capacity assessment index PZ and the historical wastewater discharge FP is constructed, and the above linear model is regarded as a mapping function; The mapping function is used for prediction and analysis. According to the given size influence coefficient CX and the current capacity evaluation index, the current wastewater discharge is predicted based on the following formula: FP dq =a×CX+b×PZ dq +c Among them, FP dq is the current wastewater discharge volume.

6. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 5 is characterized by: The geological environment model is a convolutional neural network model, which is composed of a deep neural network based on a multilayer perceptron. The deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer. The first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons, and each uses ReLU as an activation function.

7. The method for calculating the discharge volume of wastewater from single-line tunnel drilling and blasting construction based on the cleaning and sewage diversion system according to claim 6 is characterized by: The current environmental rating coefficient and the current wastewater discharge are processed to generate the actual wastewater discharge, based on the following formula: FP sj =(1+HX dq )×FP dq Among them, FP sj is the actual wastewater discharge, HX dq is the current environmental rating coefficient; When HX dq When increasing, (1+HX dq ) value increases, which means that the actual wastewater discharge FP sj Increase; When HX dq When decreasing, (1+HX dq ) value decreases, which means that the actual wastewater discharge FP sj Reduce.

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