Tunnel sewage discharge method, device, electronic equipment and storage medium

Abstract

The present application discloses a tunnel sewage discharge method, device, electronic device and storage medium. The method is applied to a server, comprising: obtaining pollutant information and pollutant emission quality threshold of a tunnel; obtaining the pollutant quality of the tunnel according to the pollutant information of the tunnel; parsing the pollutant quality and pollutant emission quality threshold of the tunnel using a tunnel sewage discharge network model, and obtaining target control information of the sewage discharge equipment according to the parsing result; controlling each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment; according to the technical solution of the present application, while ensuring the energy-saving effect, it can also ensure that the total amount of pollutants in the target area is within the control range of the environmental impact assessment, thereby improving the sewage discharge efficiency of the tunnel.

Description

Technical Field

[0001] The present application relates to the field of tunnel sewage discharge, and more specifically, to a method, device, electronic device and storage medium for tunnel sewage discharge. Background Art

[0002] Tunnels are engineering structures buried in the ground, and are a form of human use of underground space. Tunnels are closed underground spaces, which are not conducive to the diffusion and dilution of pollutants. At the same time, the underground closed section of urban tunnels is long, and the proportion of port freight vehicles is large, which will inevitably cause a large amount of pollutants to accumulate. Not only does it cause the pollution concentration in the tunnel to exceed the standard, affecting the health of drivers, but if the pollutants are directly discharged from the exit of the tunnel, it will inevitably have an adverse impact on the surrounding environment.

[0003] At present, the existing methods of exhausting air in tunnels mainly include the following: first, mechanical ventilation, through longitudinal flow ventilation, semi-cross flow or cross flow, using air supply and exhaust equipment to achieve ventilation; second, centralized exhaust fan room and wind tower, set up a centralized exhaust fan room near the exit of the tunnel, and use the wind tower to diffuse and discharge most of the polluted air in the tunnel at high altitude; third, use air purifiers, install ceiling-mounted environmental air purifiers on the top of the tunnel to directly absorb polluted gases. However, based on the current situation, the exhaust efficiency of the first two methods is very low, and the last method is very energy-inefficient.

[0004] Therefore, how to ensure energy-saving effects while ensuring that the total amount of pollutants in the target area is within the control range of the environmental impact assessment has become an urgent problem to be solved in this field. Summary of the invention

[0005] In view of this, the present application proposes a tunnel sewage discharge method, device, electronic device and storage medium to improve the accuracy of identification results.

[0006] In order to achieve the above objectives, in a first aspect, the present application proposes a tunnel sewage discharge method, which is applied to a server and comprises:

[0007] Obtain the pollutant information and pollutant emission quality thresholds of the tunnel;

[0008] Obtaining the pollutant quality of the tunnel according to the pollutant information of the tunnel;

[0009] The tunnel sewage network model is used to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and the target control information of the sewage discharge equipment is obtained according to the analysis result;

[0010] The various sewage discharge equipment in the tunnel are controlled according to the target control information of the sewage discharge equipment.

[0011] Preferably, the method further comprises:

[0012] Obtaining the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at a plurality of moments in the past;

[0013] The BP neural network model is used to obtain the pollutant information of the tunnel at the next moment based on the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at multiple previous moments, so as to obtain the pollutant quality of the tunnel based on the pollutant information of the tunnel at the next moment.

[0014] Preferably, the method further comprises:

[0015] Acquiring surrounding environment information of the tunnel;

[0016] The pollutant emission quality threshold is dynamically set according to the surrounding environment information of the tunnel.

[0017] Preferably, the mass of pollutants in the tunnel includes the mass of pollutants transported by substances in the fluid of the tunnel, and the mass of pollutants transported by substances in the fluid is calculated as follows:

[0018]

[0019] Among them, j is the tensor coordinate, D n,m is the diffusion coefficient of pollutant component n, u is wind speed (m / s), ρ is density (kg / m 3 ), Y n represents the effect of wave expansion on the total dissipation rate in compressible turbulence, D t is the thermal diffusion coefficient, S n is the productivity of this component.

[0020] Preferably, the tunnel sewage network model is used to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and the target control information of the sewage discharge equipment is obtained according to the analysis result, including:

[0021] Comparing the pollutant mass of the tunnel with the pollutant emission mass threshold, and obtaining the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold;

[0022] According to the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold, the preset control information of the sewage discharge equipment is obtained;

[0023] The preset control information of the sewage discharge equipment is processed using the tunnel sewage discharge network model to obtain the target control information of the sewage discharge equipment.

[0024] Further preferably, the obtaining of preset control information of the sewage discharge equipment according to the difference between the pollutant mass value of the tunnel and the pollutant discharge mass threshold value includes:

[0025] Calculate the required air volume of the tunnel. The required air volume calculation formula is:

[0026]

[0027] Among them, Q req(co) is the required air volume of the tunnel, δ is the CO concentration, Q co is the CO emission of the tunnel, P 0 is the standard atmospheric pressure, P is the atmospheric pressure at the tunnel site, T is the summer temperature at the tunnel site, T 0 is the standard temperature;

[0028] Updating the required air volume of the tunnel according to the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold;

[0029] The preset ventilation volume of the tunnel is obtained according to the updated required air volume of the tunnel;

[0030] The preset control information of the sewage discharge equipment is obtained according to the preset ventilation volume of the tunnel.

[0031] Further preferred:

[0032] The pollutant mass of the tunnel includes: the pollutant mass discharged from the ventilation shaft and the pollutant mass discharged from the tunnel exit;

[0033] The target control information of the sewage treatment equipment includes: target control information of the equipment at the ventilation shaft and target control information of the equipment at the tunnel exit;

[0034] The controlling each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment comprises:

[0035] Adjusting target control information of the equipment at the ventilation shaft and target control information of the equipment at the tunnel exit according to the surrounding environment information of the tunnel;

[0036] The various sewage discharge equipment in the tunnel is controlled according to the adjusted target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit.

[0037] In a second aspect, an embodiment of the present invention further provides a tunnel sewage discharge device, the device comprising:

[0038] An acquisition unit, for acquiring pollutant information and pollutant emission quality threshold of the tunnel;

[0039] A first processing unit, which obtains the pollutant quality of the tunnel according to the pollutant information of the tunnel;

[0040] A second processing unit, using a tunnel sewage network model, performs analytical processing on the pollutant quality and the pollutant emission quality threshold of the tunnel, and obtains target control information of the sewage discharge equipment according to the analytical results;

[0041] A control unit controls each sewage discharge device in the tunnel according to target control information of the sewage discharge device.

[0042] In a third aspect, an embodiment of the present disclosure further provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the method disclosed in the first aspect above.

[0043] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the method disclosed in the first aspect above.

[0044] The tunnel sewage discharge method provided in the present application utilizes a tunnel sewage discharge network model to analyze and process the pollutant quality and pollutant emission quality threshold of the tunnel, obtains target control information of the sewage discharge equipment based on the analysis results, and then controls each sewage discharge equipment in the tunnel based on the target control information of the sewage discharge equipment, thereby ensuring energy-saving effects while also ensuring that the total amount of pollutants in the target area is within the environmental impact assessment control range, thereby improving the tunnel sewage discharge efficiency.

[0045] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings constituting a part of the present application are used to provide a further understanding of the present application, and the schematic implementation modes and descriptions of the present application are used to explain the present application. In the accompanying drawings:

[0047] Figure 1 A flow chart of a tunnel sewage discharge method for applying for a preferred embodiment;

[0048] Figure 2 A flow chart of a method for obtaining target control information of a sewage discharge device according to a preferred embodiment of the application;

[0049] Figure 3 A flow chart of a method for obtaining preset control information of a sewage discharge device according to a preferred embodiment of the application;

[0050] Figure 4 A schematic diagram of a sewage discharge scheme using the tunnel structure of the present application according to a preferred embodiment of the application;

[0051] Figure 5A schematic diagram of a tunnel sewage discharge device according to a preferred embodiment of the application;

[0052] Figure 6 A schematic diagram of the structure of an electronic device according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0053] The technical solution of the present application will be described in detail below with reference to the accompanying drawings and in combination with the implementation modes.

[0054] In the first aspect, a tunnel sewage discharge method proposed in the present application is as follows: Figure 1 As shown, it is applied to a server, including 110-140.

[0055] Step 110, obtaining pollutant information and pollutant emission quality threshold of the tunnel;

[0056] Specifically, the method for obtaining the pollutant information of the tunnel in the present application includes: obtaining the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at multiple previous moments; using the BP neural network model (Back Propagation Neural Network) to obtain the pollutant information of the tunnel at the next moment based on the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at multiple previous moments, so as to obtain the pollutant quality of the tunnel based on the pollutant information of the tunnel at the next moment in step 120.

[0057] In a specific example, multifunctional detectors, jet fans and axial fans are sequentially arranged in a tunnel, and pollutant information includes smoke, carbon monoxide and nitrogen oxides. After the smoke concentration value VIn and carbon monoxide concentration value COn in the tunnel are detected by the multifunctional detector, the data processing and control center uses the BP neural network to train the data based on the smoke concentration value VIn and carbon monoxide concentration value COn at the current moment n of the tunnel, combined with the smoke concentration value VIn-1 and carbon monoxide concentration value COn-1 at the moment n-1, and the smoke concentration value VIn-2 and carbon monoxide concentration value COn-2 at the moment n-2, and predicts the smoke concentration value VIn+1 and carbon monoxide concentration value COn+1 at the moment n+1. Among them, the BP neural network model is exemplified as follows. The BP neural network model has three layers, three input nodes, corresponding to the smoke concentration or carbon monoxide data at the three moments n-2, n-1, and n, respectively. The output data is the predicted value of the pollutant mass at the next moment n+1, and the number of hidden nodes is obtained by trial and error to obtain the optimal number of hidden layers. In addition, the surrounding environmental information of the tunnel mainly includes the concentration of carbon monoxide and nitrogen oxides. Corresponding monitoring points can be set up 1-200 meters adjacent to the tunnel exit to obtain relevant information.

[0058] The method for obtaining the pollutant emission quality threshold in the present application includes: obtaining the surrounding environment information of the tunnel, and dynamically setting the pollutant emission quality threshold according to the surrounding environment information of the tunnel.

[0059] The preset pollutant emission quality threshold is adjusted according to the amount of pollutants in the surrounding environment of the tunnel, and the amount of pollutants in the surrounding environment of the tunnel and the pollutant emissions of the tunnel are used as the total pollutant emissions in the target area. When the amount of pollutants in the surrounding environment of the tunnel increases, the preset pollutant emission quality threshold will be lowered to ensure that the total pollutant emissions in the target area are within the control range of the environmental impact assessment and meet the emission standards of buildings around the tunnel and residents' daily life.

[0060] Step 120, obtaining the pollutant mass of the tunnel according to the pollutant information of the tunnel;

[0061] Specifically, the pollutant mass of the tunnel includes the pollutant mass of the material transported in the fluid of the tunnel. The calculation formula of the pollutant mass of the material transported in the fluid is as shown in formula (1):

[0062]

[0063] Among them, j is the tensor coordinate, D n,m is the diffusion coefficient of pollutant component n, u is wind speed (m / s), ρ is density (kg / m 3 ), Y n represents the effect of wave expansion on the total dissipation rate in compressible turbulence, D t is the thermal diffusion coefficient, S n is the productivity of this component.

[0064] By substituting the information of each pollutant component contained in the tunnel's pollutant information into the formula, the pollutant mass value can be obtained.

[0065] In a specific example, this step can be implemented by ANSYS software alone, or this step can also be combined with the tunnel drainage network model in step 133 below, and the algorithm of this step is built into the tunnel drainage network model. The tunnel drainage network model can also be constructed by ANSYS software, and its specific method is described in detail below, and will not be repeated in this step.

[0066] Step 130, using the tunnel sewage network model to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and obtaining target control information of the sewage discharge equipment according to the analysis result;

[0067] Specifically, the calculation method of the target control information of the sewage discharge equipment in this step is as follows: Figure 2 As shown, steps 131-133 are included.

[0068] Step 131, comparing the pollutant mass of the tunnel with the pollutant emission mass threshold, and obtaining the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold;

[0069] Specifically, the difference between the pollutant mass value in the tunnel and the pollutant emission mass threshold represents whether the tunnel air needs to be treated for pollution and how to set the treatment range.

[0070] Step 132, obtaining preset control information of the sewage discharge equipment according to the difference between the pollutant mass value of the tunnel and the pollutant discharge mass threshold;

[0071] Specifically, in practice, various sewage discharge equipment can be set in the tunnel, and in this application, the sewage discharge equipment at least includes: a ventilation shaft is set at the tunnel exit, and a jet fan with two-way blowing is set at the tunnel exit. The control information of the sewage discharge equipment can be understood as information for controlling each sewage discharge equipment in the tunnel, including: the number of openings, placement positions and operating powers of the jet fans and axial flow fans respectively set corresponding to the tunnel entrance, the ventilation shaft and the tunnel exit.

[0072] The present application includes two control information of sewage discharge equipment, preset control information of sewage discharge equipment and target control information of sewage discharge equipment. The preset control information of sewage discharge equipment is calculated in this step, and is not the information ultimately used to control sewage discharge equipment. The information ultimately used to control sewage discharge equipment is the target control information of sewage discharge equipment. The conversion of these two control information is described in detail in the following step 133, and will not be repeated in this step.

[0073] It can be understood that both the preset control information and the target control information include: the opening quantity, placement position and operating power information of the jet fans and axial flow fans respectively set corresponding to the tunnel entrance, the ventilation shaft and the tunnel exit, but one corresponds to the control information involved in this step, and the other corresponds to the control information involved in step 133.

[0074] If the pollutant mass value in the tunnel is less than or equal to the pollutant emission quality threshold, it means that the tunnel air does not need to be treated for sewage at present. After using the tunnel sewage network model, the preset control information of the sewage discharge equipment can be information indicating "no regulation"; if the pollutant mass value in the tunnel is greater than the pollutant emission quality threshold, it means that the tunnel air needs to be treated for sewage at present. After using the tunnel sewage network model, the preset control information of the sewage discharge equipment can be information indicating "regulation", and the "regulation" range depends on the difference between the pollutant mass value in the tunnel and the pollutant emission quality threshold.

[0075] Preferably, as described above, the difference between the pollutant mass value in the tunnel and the pollutant discharge mass threshold value determines the magnitude of the "regulation" in the preset control information of the sewage discharge equipment, and how to form the preset control information of the sewage discharge equipment, such as Figure 3 As shown, steps 1321-1324 are included.

[0076] Step 1321, calculating the required air volume of the tunnel;

[0077] Specifically, the calculation formula for the required air volume of the tunnel is as follows:

[0078]

[0079] Among them, Q req(co) is the required air volume of the tunnel, δ is the CO concentration, Q co is the CO emission of the tunnel, P 0 is the standard atmospheric pressure, P is the atmospheric pressure at the tunnel site, T is the summer temperature at the tunnel site, T 0 is the standard temperature; it can be understood that the tunnel CO emissions, tunnel site atmospheric pressure, and tunnel site summer temperature are the basic parameters of the tunnel and can be obtained through measurement.

[0080] Step 1322, updating the required air volume of the tunnel according to the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold;

[0081] Specifically, the required air volume of the tunnel calculated in step 1321 is a theoretical value under normal ventilation conditions, which does not take into account the specific sewage discharge needs of the current tunnel. Therefore, it is necessary to update the required air volume of the tunnel based on the difference between the pollutant mass value of the tunnel and the pollutant emission quality threshold. The updated required air volume of the tunnel integrates the exhaust needs of the tunnel under normal conditions and the sewage discharge needs of current pollutants.

[0082] Step 1323, obtaining a preset ventilation volume of the tunnel according to the updated required air volume of the tunnel;

[0083] Specifically, based on the tunnel structure and the arrangement of each sewage discharge equipment in the tunnel, the structural information of the tunnel and the airflow organization direction information of the tunnel can be obtained. Among them, the structural information of the tunnel includes: the location information of the ventilation shaft of the tunnel, the tunnel entrance and tunnel exit, and other related information about the various structural settings in the tunnel; the airflow organization direction information of the tunnel also includes: the wind direction information of the jet fan of the tunnel, the airflow direction of the tunnel entrance, the airflow direction of the ventilation shaft, the airflow direction of the tunnel exit, and other related information about all airflow directions in the tunnel, which is not limited in this application.

[0084] The preset ventilation volume of the tunnel can be understood as the ventilation or exhaust volume required at each entrance and exit position in the tunnel, including: the air intake at the tunnel entrance, the exhaust volume of the ventilation shaft, the air intake at the tunnel exit, and the exhaust volume at the tunnel exit.

[0085] The preset ventilation volume of the tunnel can be obtained according to the updated required air volume of the tunnel, the structural information of the tunnel and the airflow organization direction information of the tunnel.

[0086] In a specific example, a schematic diagram of a sewage discharge scheme using the tunnel structure of the present application is shown as follows: Figure 4 As shown in the figure, according to Section 7.8 of the "Highway Tunnel Ventilation Design Specifications" JTG / T D70 / 2-02-2014P, combined with this application, the ventilation volume at the left tunnel entrance can be calculated to be Q2 = 710m 3 / s, the exhaust volume of ventilation shaft 1# is Q3=810m 3 / s, the air supply volume at the left tunnel outlet is Q1=137m 3 / s, the exhaust volume is Q4=37m 3 / s. When the pollutant concentration is the highest, the exhaust volume of ventilation shaft 1# accounts for 95% of the tunnel ventilation volume, achieving "near zero emission" of pollutants at the entrance of the Qianhai section of the left line.

[0087] Step 1324, obtaining preset control information of the sewage discharge equipment according to the preset ventilation volume of the tunnel;

[0088] Specifically, the preset ventilation volume of the tunnel is updated according to the difference between the pollutant mass value of the tunnel and the pollutant emission quality threshold, and the required number of jet fans and axial flow fans, the corresponding placement positions, operating power and other information are determined according to the updated preset ventilation volume of each position in the tunnel, that is, the preset control information of the sewage discharge equipment.

[0089] The preset sewage discharge equipment in the tunnel is a kind of mechanical means, using fans and other equipment to control and maintain the air flow inside the tunnel to ensure that the air quality, temperature and concentration of harmful gases in the tunnel meet safety standards. At the same time, the sewage discharge equipment can also provide sufficient ventilation to prevent air pollution, maintain visibility, prevent the spread of fire, and provide appropriate smoke and detoxification functions in emergency situations. This application does not limit the number of jet fans and axial flow fans that can be opened in the tunnel, as long as ventilation and sewage discharge can be achieved in the tunnel.

[0090] In a specific example, it can be seen from the wind speed distribution in the longitudinal section of the left-line tunnel shaft area that the back-blowing jet fan and axial flow fan act on the upper air of the tunnel to form a long jet flow with obvious induction effect, and the moving vehicle acts on the lower air with obvious momentum source effect. Since the left-line tunnel shaft needs to exhaust more than 95% of the ventilation volume of the tunnel, the wind speed in the exhaust shaft is as high as 15m / s, and the main air volume comes from the direction of the large shovel bay in front of the shaft, so the wind speed in the shaft is unevenly distributed, but it does not affect the overall exhaust effect. Under the action of vehicle flow and shaft exhaust, the flow regularity of the tunnel section before the shaft is strong, basically presenting a layered flow with fast speed at the bottom and slow speed at the top, with an average wind speed of 7.02m / s; in the tunnel section from the shaft to the Qianhai exit, due to the opposite action of the vehicle and the fan and the shaft, and the discontinuous action of the back-blowing fan, the air flow in the tunnel is relatively chaotic, with more vortices, but since the overall wind speed is less than 1m / s, there is no adverse effect on the exhaust gas removal from the shaft.

[0091] In another specific example, the jet fan can be set to bidirectional operation at the tunnel exit. When the quality of pollutants discharged from the tunnel exit exceeds the standard, the polluted gas can be discharged through the backblowing effect of the jet fan and the establishment of a vertical shaft at the tunnel exit to reduce the impact of the polluted gas on the environment outside the tunnel, thereby ensuring sufficient air circulation in the tunnel and reducing driving safety problems caused by improper pollutant emissions in the tunnel.

[0092] In a specific example, steps 1321-1324 can also be implemented by ANSYS software alone, or this step can also be combined with the tunnel drainage network model in step 133 below, and the algorithm of this step is built into the tunnel drainage network model. The tunnel drainage network model can also be constructed by ANSYS software, and its specific method is described in detail below, and will not be repeated in this step.

[0093] Step 133, using the tunnel sewage network model to process the preset control information of the sewage discharge equipment to obtain target control information of the sewage discharge equipment;

[0094] Specifically, the preset control information of the sewage discharge equipment is first processed using the tunnel sewage discharge network model to obtain the target ventilation volume of the tunnel, and then the target control information of the sewage discharge equipment is obtained according to the target ventilation volume of the tunnel.

[0095] It can be understood that the preset control information of the sewage discharge equipment is calculated according to the theoretical formula and is a theoretical value. The actual sewage discharge effect may not meet expectations. Therefore, in this application, it is necessary to further process the preset control information of the sewage discharge equipment through the tunnel sewage discharge network model so that the simulated result, that is, the target control information of the sewage discharge equipment can achieve the expected sewage discharge effect.

[0096] Preferably, the tunnel sewage network model in the present application needs to be obtained through training.

[0097] The structural information of the tunnel also includes: the total pressure at the tunnel entrance, the hydraulic diameter at the tunnel entrance, the total pressure at the tunnel exit, the hydraulic diameter at the tunnel exit, and the roughness of the tunnel wall. The step of constructing a tunnel drainage network model includes: constructing an initial tunnel drainage network model; updating the initial tunnel drainage network model according to one or more of the total pressure at the tunnel entrance, the hydraulic diameter at the tunnel entrance, the total pressure at the tunnel exit, the hydraulic diameter at the tunnel exit, and the roughness of the tunnel wall, to obtain an updated tunnel drainage network model.

[0098] In a specific example, the tunnel drainage network model can be realized by ANSYS software. First, the tunnel drainage network model of the entire tunnel is established in the ICEM module under ANSYS software, and the tunnel drainage network model is imported into the FLUENT module under ANSYS software for numerical simulation analysis. The boundary condition parameters required for the tunnel drainage network model, such as wind speed, pollutant mass, etc., can be input in the FLUENT module. The flow field of the entire tunnel after numerical simulation, the drainage effect and pollutant guarantee level in the entire tunnel can be obtained through calculation, and multiple typical examples are designed to compare the flow field, concentration field, etc. under different examples to verify the effect and determine the optimal one.

[0099] In another specific example, the grid independence can also be verified based on the parameters of the entire tunnel shaft calculation model in the FLUENT module. Three grids are established, with the number of grids being 25.09 million, 19.23 million, and 10.11 million. When the number of grids reaches 19.23 million, the simulation results hardly change with the increase in the number of grids. Considering the simulation accuracy and simulation time, the medium grid of 19.23 million can be selected as the initial tunnel sewage network model.

[0100] The total pressure at the tunnel entrance, the hydraulic diameter at the tunnel entrance, the total pressure at the tunnel exit, the hydraulic diameter at the tunnel exit and the roughness of the tunnel wall are input into the initial tunnel drainage network model for processing to generate a tunnel drainage network model that matches the tunnel.

[0101] In a specific example, the parameters of a tunnel include: the total pressure at the tunnel entrance is 0Pa, the hydraulic diameter at the tunnel entrance is 9.6m, the total pressure at the tunnel exit is 0Pa, the hydraulic diameter at the tunnel exit is 9.6m, the roughness of the tunnel wall is △=2.5mm, and the design speed of the most unfavorable working condition is 80km / h. According to the peak traffic volume, design speed, vehicle type orthographic projection area and proportion, etc., a strip momentum source is set in the model to represent the stable flow of moving vehicles. The mesh division of the numerical simulation method is based on the tunnel structure construction drawing to establish a three-dimensional geometric model of the fluid dynamics (CFD) of the tunnel. Due to the strong interaction between the tunnel exit position, vehicle surface, tunnel inner surface, fan and CFD fluid (friction and turbulence), a hybrid mesh combining structured hexahedral mesh and unstructured tetrahedral mesh can be used. The maximum grid distortion rate is controlled to be less than 0.67, the number of grids is about 20 million, the height of the first layer of grids near the wall is less than 5 cm, and the dimensionless distance y+<100 is guaranteed to ensure the applicability and accuracy of the wall function.

[0102] Preferably, after the initial tunnel sewage network model is updated, the tunnel sewage network model needs to be trained using a training sample set.

[0103] The training sample set has a target feature, and the training sample set with the target feature is divided into a training set and a test set based on a preset ratio, and the ratio can be set as needed, such as 1:8 or 1:5, etc.; multiple data groups are extracted from the training set, each of which contains a preset number of data samples, and at least one data sample includes target feature data; the tunnel drainage network model is trained based on the data samples in the multiple data groups, and the trained initial tunnel drainage network model is tested based on the test set to generate a test result, thereby verifying the accuracy of the initial tunnel drainage network model. In addition, the training set includes information of different tunnels, or data of the same tunnel in different time periods.

[0104] After obtaining a usable tunnel sewage network model, the preset control information of the sewage equipment is input into the tunnel sewage network model to obtain the target ventilation volume of the tunnel, and then the target control information of the sewage equipment is obtained according to the target ventilation volume of the tunnel.

[0105] Similarly, the target ventilation volume of the tunnel and the preset ventilation volume of the tunnel are both the ventilation volume or exhaust volume required at each entrance and exit position in the tunnel, but the corresponding stages are different, and also include: the air intake volume at the tunnel entrance, the exhaust volume of the ventilation shaft, the air intake volume at the tunnel exit, and the exhaust volume at the tunnel exit.

[0106] In a specific example, the flow field of the entire tunnel after numerical simulation, as well as the ventilation effect and pollutant guarantee level in the entire tunnel can be obtained through FLUENT calculation. During this period, multiple typical examples can be designed to compare the flow field, concentration field, etc. under different examples to verify the effect, so as to design the sewage equipment control information that meets the air intake at the tunnel entrance, the exhaust volume of the ventilation shaft, the air intake at the tunnel exit, and the exhaust volume at the tunnel exit.

[0107] Preferably, the tunnel drainage network model includes an air quality continuity calculation module and an air flow velocity momentum calculation module.

[0108] The continuity calculation of air quality can refer to the Navier-Stokes equation, and the calculation formulas are as follows:

[0109]

[0110]

[0111] Where ρ is the density, t is the time, is the velocity vector, u, v and w are the components of the velocity vector in the x, y and z directions;

[0112] The momentum calculation of air velocity can refer to the Species Transport model, and the calculation formulas are as follows:

[0113]

[0114]

[0115] Where, t is time (s), ρ is density (kg / m 3 ), i and j are tensor coordinates, u is wind speed (m / s), μ is dynamic viscosity coefficient (Pa·s), μ t is the turbulent dynamic viscosity coefficient (Pa·s), ε is the turbulent kinetic energy dissipation rate (m 2 / s 2 ), Cμ is the empirical coefficient, k is the turbulent kinetic energy (J), S ui is the source term in the three-dimensional momentum equation, p represents pressure, and g represents gravitational acceleration.

[0116] In the present application, the method for obtaining the target ventilation volume of the tunnel may include steps 1331-1334.

[0117] Step 1331, using the air quality continuity calculation module and the air flow velocity momentum calculation module, calculate the air flow velocity and air momentum at each position in the tunnel;

[0118] Step 1332, obtaining the air flow at the tunnel entrance, the air flow at the tunnel exit, and the air flow in the ventilation shaft according to the air flow velocity and air momentum at each position in the tunnel;

[0119] Step 1333, obtaining a simulated air intake volume at the tunnel entrance according to the airflow volume at the tunnel entrance, obtaining a simulated air intake volume at the tunnel exit and a simulated air exhaust volume at the tunnel exit according to the airflow volume at the tunnel exit, and obtaining a simulated air exhaust volume of the ventilation shaft according to the airflow volume of the ventilation shaft;

[0120] Step 1334, according to the preset control information of the sewage discharge equipment, the simulated air intake volume of the tunnel entrance, the simulated air intake volume of the tunnel exit, the simulated exhaust volume of the tunnel exit and the simulated exhaust volume of the ventilation shaft, combined with the preset control information of the sewage discharge equipment, the target ventilation volume of the tunnel is obtained;

[0121] Finally, according to the target ventilation volume of the tunnel obtained in steps 1331-1334, the required number of jet fans and axial flow fans, their corresponding placement positions, operating power and other information, that is, the target control information of the sewage discharge equipment, is determined.

[0122] In a specific example, this application uses ANSYS Fluent for numerical simulation, and the turbulence model is the RNGk-ε model to ensure higher accuracy in calculating large velocity gradients and the presence of swirls. The component transport model is SpeciesTransport, and the diffusion coefficient is calculated according to the Fuller formula. The COUPLED pressure-velocity coupling method and standard wall functions are used to simulate and solve the airflow in the tunnel, which is affected by many factors and is generally longitudinal. Without considering the influence of tunnel temperature, it can be assumed that the air in the tunnel is incompressible, and the airflow in the tunnel is regarded as steady state. Among them, the RNG k-epsilon equation is shown in the following equations (7)-(11):

[0123]

[0124]

[0125]

[0126]

[0127]

[0128] Where i and j are tensor coordinates; t is time (s); ρ is density (kg / m3); k is turbulent kinetic energy (m 2 / s 3 );u is wind speed (m / s); Gk represents the turbulent kinetic energy due to the mean velocity gradient; G b represents the turbulent kinetic energy due to buoyancy; Y M represents the effect of wave expansion on the total dissipation rate in compressible turbulence; μ is the dynamic viscosity coefficient (Pa·s); μ t is the turbulent dynamic viscosity coefficient (Pa·s); ε is the turbulent kinetic energy dissipation rate (m 2 / s 3 );G 2 and C 1ε is a constant; σ k and σ ε represents the turbulent Prandtl constant; C 1 , C 2 , C 1ε , C 3ε is the empirical constant; S k and S ε It is a user-defined source item; S ij is the average strain rate tensor; S is S ij The total number of; v represents the flow velocity.

[0129] It can be understood that the above algorithms can all be implemented by ANSYS software.

[0130] Step 140, controlling each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment;

[0131] Specifically, as described above, the target control information of the sewage discharge equipment obtained by training the tunnel sewage network model can be used to control the various sewage discharge equipment in the tunnel. Specifically, it can be manifested as adjusting the number and corresponding distribution positions of the jet fans and axial flow fans corresponding to the tunnel entrance, ventilation shaft and tunnel exit, so as to adjust the air volume of the tunnel entrance, ventilation shaft and tunnel exit. Among them, the adjustment method can be to turn on or off the switches of the relevant jet fans and axial flow fans, and to adjust the running direction or power of the jet fans and axial flow fans. In addition, the number and placement of the jet fans and axial flow fans can be fixed settings, or they can be increased, decreased or moved according to actual conditions. This application does not specifically limit this.

[0132] In a specific example, the present application can also control the quality of pollutant emissions at the tunnel exit through the surrounding environmental information of the tunnel. If the amount of pollutants in the surrounding environment of the tunnel is far lower than the allowable amount of pollutants in the target area, the pollutants in the tunnel can be discharged mainly or only through the tunnel exit, reducing the operation of axial flow fans and jet fans in the ventilation shaft, thereby achieving energy-saving effects while ensuring that the total amount of pollutants in the target area is within the control range of the environmental impact assessment.

[0133] The pollutant mass of the tunnel includes: the pollutant mass discharged from the ventilation shaft and the pollutant mass discharged from the tunnel exit; the target control information of the sewage discharge equipment includes: the target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit. Accordingly, the control of each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment includes: adjusting the target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit according to the surrounding environment information of the tunnel; and controlling each sewage discharge equipment in the tunnel according to the adjusted target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit.

[0134] In other specific examples, under the contradiction between the traffic wind force of vehicle movement and the anti-blowing machine at the tunnel entrance, the air in the middle and lower part of the left-line tunnel front sea exit section flows out, and the air in the rest of the section flows in. In order to better explore this situation, the air flowing through the section is traced. The air flows in and out at the same time in this section, with the incoming air as the mainstream and a small amount of air flowing out; under the action of the outward movement of the vehicle, the air in the middle and lower part of the section flows out from the tunnel, and under the combined action of the inward induction of the anti-blowing machine, the exhaust of the shaft, and the friction of the inner wall of the tunnel, the air in the rest of the section flows from the environment into the tunnel.

[0135] In this case, the tunnel sewage discharge method according to the present application can achieve that the air extraction volume of the left shaft accounts for 95% of the tunnel ventilation volume when the pollutant quality is the highest, of which the front sea outlet is 21.98m 3 / s exhaust volume only accounts for 2.71% of the total ventilation volume of the tunnel, that is, the vertical shaft exhausts 97.21% of the air volume, that is, most of the incoming flow can be discharged by the vertical shaft. It can be said that the existence of the exhaust shaft can effectively prevent the air carrying a large amount of pollutants in front of the vertical shaft from entering the Qianhai section. The large amount of pollutants in front of the vertical shaft can almost all be discharged by the vertical shaft, realizing the "near-zero emission" of pollutants at the entrance of the Qianhai section.

[0136] In other specific examples, based on the positional relationship between the ventilation shaft and the tunnel exit, the sewage discharge of the ventilation shaft can be set to be greater than the sewage discharge of the tunnel exit through the target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit, so as to ensure that the pollutant quality at the tunnel exit meets the standards.

[0137] In other specific examples, if it is in the middle of the night or during periods of low traffic, vehicle exhaust emissions will decrease. At this time, the emission of pollutants in the surrounding environment of the tunnel will also decrease. The pollutants in the tunnel can be discharged mainly or only through the tunnel exit, reducing the operation of related jet fans and axial flow fans in the ventilation shaft, thereby achieving energy-saving effects while ensuring that the total pollutant emissions in the target area are within the control range of the environmental impact assessment.

[0138] The tunnel sewage discharge method provided in the present application utilizes a tunnel sewage discharge network model to analyze and process the pollutant quality and pollutant emission quality threshold of the tunnel, obtains target control information of the sewage discharge equipment based on the analysis results, and then controls each sewage discharge equipment in the tunnel based on the target control information of the sewage discharge equipment, thereby ensuring energy-saving effects while also ensuring that the total amount of pollutants in the target area is within the environmental impact assessment control range, thereby improving the tunnel sewage discharge efficiency.

[0139] Correspondingly, in a second aspect, an embodiment of the present invention further provides a device for implementing the above tunnel sewage discharge method, such as Figure 5 As shown, the tunnel sewage discharge device includes: an acquisition unit 510, a first processing unit 520, a second processing unit 530 and a control unit 540.

[0140] An acquisition unit 510 is used to acquire pollutant information and a pollutant emission quality threshold of the tunnel;

[0141] A first processing unit 520 obtains the pollutant quality of the tunnel according to the pollutant information of the tunnel;

[0142] The second processing unit 530 uses the tunnel sewage network model to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and obtains the target control information of the sewage discharge equipment according to the analysis result;

[0143] The control unit 540 controls each sewage discharge device in the tunnel according to the target control information of the sewage discharge device.

[0144] Other preferred schemes and technical effects of the tunnel sewage discharge device disclosed in the present application are the same as those of the above-mentioned tunnel sewage discharge method and will not be repeated here.

[0145] Below, reference Figure 6 The electronic device 60 according to the embodiment of the present application is described. Figure 6 A block diagram of an electronic device according to an embodiment of the present application is shown.

[0146] like Figure 6 As shown, the electronic device 60 includes one or more processors 601 and a memory 602 .

[0147] The processor 601 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 60 to perform desired functions.

[0148] The memory 602 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 601 may run the program instructions to implement the test methods of the various embodiments of the present application described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0149] In one example, the electronic device 60 may further include: an input device 603 and an output device 604, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0150] The input device 603 may include, for example, a keyboard, a mouse, etc.

[0151] The output device 604 can output various information to the outside, including the determined distance information, direction information, etc. The output device 604 can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0152] Of course, to simplify, Figure 6 Only some of the components related to the present application in the electronic device 60 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 60 may also include any other appropriate components.

[0153] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the testing method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0154] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0155] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the testing method according to various embodiments of the present application described in the above “Exemplary Method” section of this specification.

[0156] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0157] The preferred embodiments of the present application are described in detail above; however, the present application is not limited to the specific details in the above embodiments. Within the technical concept of the present application, a variety of simple modifications can be made to the technical solution of the present application, and these simple modifications all fall within the protection scope of the present application.

[0158] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this application will not further describe various possible combinations.

[0159] In addition, the various implementation modes of the present application may be arbitrarily combined, and as long as they do not violate the concept of the present application, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A tunnel sewage control method, characterized in that: The method is applied to a server and includes: Obtain the pollutant information and pollutant emission quality thresholds of the tunnel; Obtaining the pollutant quality of the tunnel according to the pollutant information of the tunnel; The tunnel sewage network model is used to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and the target control information of the sewage discharge equipment is obtained according to the analysis result; Controlling each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment; The mass of pollutants in the tunnel includes the mass of pollutants transported by substances in the fluid of the tunnel. The mass of pollutants transported by substances in the fluid is calculated as follows: Among them, j is the tensor coordinate, D n,m is the diffusion coefficient of pollutant component n, u is wind speed, ρ is density, Y n represents the effect of wave expansion on the total dissipation rate in compressible turbulence, D t is the thermal diffusion coefficient, S n is the production rate of the pollutant component n.

2. The method according to claim 1, characterized in that: The method further comprises: Obtaining the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at a plurality of moments in the past; The BP neural network model is used to obtain the pollutant information of the tunnel at the next moment based on the pollutant information of the tunnel at the current moment and the pollutant information of the tunnel at multiple previous moments, so as to obtain the pollutant quality of the tunnel based on the pollutant information of the tunnel at the next moment.

3. The method according to claim 1, characterized in that The method further comprises: Acquiring surrounding environment information of the tunnel; The pollutant emission quality threshold is dynamically set according to the surrounding environment information of the tunnel.

4. The method according to claim 1, characterized in that The tunnel sewage network model is used to analyze the pollutant quality and the pollutant emission quality threshold of the tunnel, and the target control information of the sewage discharge equipment is obtained according to the analysis result, including: Comparing the pollutant mass of the tunnel with the pollutant emission mass threshold, and obtaining the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold; According to the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold, the preset control information of the sewage discharge equipment is obtained; The preset control information of the sewage discharge equipment is processed using the tunnel sewage discharge network model to obtain the target control information of the sewage discharge equipment.

5. The method according to claim 4, characterized in that The step of obtaining preset control information of the sewage discharge equipment according to the difference between the pollutant mass value of the tunnel and the pollutant discharge mass threshold value includes: Calculate the required air volume of the tunnel. The required air volume calculation formula is: Among them, Q req(co) is the required air volume of the tunnel, δ is the CO concentration, Q co is the CO emission of the tunnel, P0 is the standard atmospheric pressure, P is the atmospheric pressure at the tunnel site, T is the summer temperature at the tunnel site, and T0 is the standard temperature; Updating the required air volume of the tunnel according to the difference between the pollutant mass value of the tunnel and the pollutant emission mass threshold; The preset ventilation volume of the tunnel is obtained according to the updated required air volume of the tunnel; The preset control information of the sewage discharge equipment is obtained according to the preset ventilation volume of the tunnel.

6. The method according to claim 3, characterized in that: The pollutant mass of the tunnel includes: the pollutant mass discharged from the ventilation shaft and the pollutant mass discharged from the tunnel exit; The target control information of the sewage treatment equipment includes: target control information of the equipment at the ventilation shaft and target control information of the equipment at the tunnel exit; The controlling each sewage discharge equipment in the tunnel according to the target control information of the sewage discharge equipment comprises: Adjusting target control information of the equipment at the ventilation shaft and target control information of the equipment at the tunnel exit according to the surrounding environment information of the tunnel; The various sewage discharge equipment in the tunnel is controlled according to the adjusted target control information of the equipment at the ventilation shaft and the target control information of the equipment at the tunnel exit.

7. A tunnel sewage discharge device, characterized in that: The device comprises: An acquisition unit, for acquiring pollutant information and pollutant emission quality threshold of the tunnel; A first processing unit, which obtains the pollutant quality of the tunnel according to the pollutant information of the tunnel; A second processing unit, using a tunnel sewage network model, performs analytical processing on the pollutant quality and the pollutant emission quality threshold of the tunnel, and obtains target control information of the sewage discharge equipment according to the analytical results; A control unit, for controlling each sewage discharge device in the tunnel according to target control information of the sewage discharge device; The mass of pollutants in the tunnel includes the mass of pollutants transported by substances in the fluid of the tunnel. The mass of pollutants transported by substances in the fluid is calculated as follows: Among them, j is the tensor coordinate, D n,m is the diffusion coefficient of pollutant component n, u is wind speed, ρ is density, Y n represents the effect of wave expansion on the total dissipation rate in compressible turbulence, D t is the thermal diffusion coefficient, S n is the production rate of the pollutant component n.

8. An electronic device comprising: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, wherein the computer program is used to execute the method according to any one of claims 1 to 6.

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