Method, device and equipment for determining pollution propagation result of high-altitude super-long tunnel

Abstract

The present disclosure provides a method, device and equipment for determining pollution propagation result of high-altitude super-long tunnel, which can be applied to the field of building simulation and ventilation technology. The method comprises: obtaining tunnel information, air shaft information and vehicle information, wherein the air shaft information comprises fan information corresponding to the air shaft, the tunnel information comprises segmentation information and location information, and the segmentation information is determined based on the fan information; determining pollution emission information based on vehicle speed information and emission standard information; determining pollution intensity information corresponding to multiple tunnel segments based on the pollution emission information and traffic flow information; and inputting the tunnel information, pipeline information, pollution intensity information and air shaft information into a target model to output the pollution propagation result, wherein the pipeline information is determined based on the segmentation information. Through the method, the accuracy of the pollution propagation result can be improved, the overall calculation resource consumption is reduced by segmented calculation, and the calculation cost is saved, the result generation efficiency is improved.

Description

Technical Field

[0001] This disclosure relates to the fields of building simulation and ventilation technology, and more specifically, to a method, apparatus and equipment for determining the results of pollution transmission in a high-altitude, ultra-long tunnel. Background Technology

[0002] Ventilation technology is a key challenge in the construction of long tunnels for highways and railways at high altitudes. The relevant technologies mainly rely on experience, determining the ventilation volume by the number of air changes; or using fluid dynamics simulation software (such as Fluent, Fire Dynamics Simulator) to simulate the distribution of air temperature, velocity and pollutants in the tunnel.

[0003] In the process of conceiving this disclosure, the inventors discovered the following defects in the calculation of pollutant propagation in related technologies: for extra-long tunnels or tunnel groups, the computational resources required by the fluid dynamics simulation software are too large, resulting in excessively high computational costs; the empirical calculation of ventilation volume based on standards has large errors and is difficult to meet actual needs. Summary of the Invention

[0004] In view of this, this disclosure provides a method, apparatus, equipment, medium, and procedure for determining the results of pollution propagation in ultra-long tunnels at high altitudes.

[0005] One aspect of this disclosure provides a method for determining the pollution propagation results in a high-altitude, ultra-long tunnel, comprising: acquiring tunnel information, ventilation shaft information, and vehicle information, wherein the ventilation shaft information includes fan information corresponding to the ventilation shaft, the tunnel information includes segmentation information and location information, the segmentation information is determined based on the fan information, and the vehicle information includes vehicle speed information, traffic flow information, and emission standard information; determining pollution emission information based on the vehicle speed information and the emission standard information; determining pollution intensity information corresponding to multiple tunnel segments based on the pollution emission information and the traffic flow information; and inputting the tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into a target model and outputting the pollution propagation results, wherein the pipeline information is determined based on the segmentation information.

[0006] Another aspect of this disclosure provides an apparatus for determining the pollution propagation results of a high-altitude, ultra-long tunnel, comprising: an information acquisition module for acquiring tunnel information, ventilation shaft information, and vehicle information, wherein the ventilation shaft information includes fan information corresponding to the ventilation shaft, the tunnel information includes segmentation information and location information, the segmentation information is determined based on the fan information, and the vehicle information includes vehicle speed information, traffic flow information, and emission standard information; an emission information determination module for determining pollution emission information based on the vehicle speed information and the emission standard information; an intensity information determination module for determining pollution intensity information corresponding to multiple tunnel segments based on the pollution emission information and the traffic flow information; and a result output module for inputting the tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into a target model and outputting pollution propagation results, wherein the pipeline information is determined based on the segmentation information.

[0007] Another aspect of this disclosure provides an electronic device comprising:

[0008] One or more processors;

[0009] Memory, used to store one or more programs.

[0010] When the one or more programs are executed by the one or more processors, the one or more processors implement the method described above.

[0011] Another aspect of this disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are used to implement the method described above.

[0012] Another aspect of this disclosure provides a computer program product including computer-executable instructions that, when executed, are used to implement the method described above.

[0013] According to embodiments of this disclosure, pollution emission information is determined by acquiring vehicle speed information and emission standard information. Then, pollution intensity information of tunnel segments is determined based on pollution emission information and traffic flow information. Subsequently, tunnel information, pipeline information, pollution intensity information, and ventilation shaft information are input into the target model to output pollution propagation results. Since the pollution propagation results are determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the results is improved. Segmented calculation reduces the amount and complexity of computational data, saves computational costs, and further improves computational efficiency. Attached Figure Description

[0014] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0015] Figure 1 The illustration schematically depicts an application scenario of the method, apparatus, and equipment for determining the pollution propagation results in high-altitude ultra-long tunnels according to embodiments of this disclosure;

[0016] Figure 2 A flowchart illustrating a method for determining the pollution propagation results in a high-altitude, ultra-long tunnel according to an embodiment of the present disclosure is shown schematically.

[0017] Figure 3 The diagram illustrates the output process of pollutant propagation results according to an embodiment of the present disclosure;

[0018] Figure 4 This illustration schematically shows a one-dimensional tunnel ventilation and pollutant propagation model (target model) based on Modelica, according to an embodiment of the present disclosure;

[0019] Figure 5 A schematic block diagram of a device for determining the pollution propagation results in a high-altitude, ultra-long tunnel according to an embodiment of the present disclosure is shown.

[0020] Figure 6 A block diagram of an electronic device suitable for determining the results of pollution propagation in a high-altitude, ultra-long tunnel, according to an embodiment of the present disclosure, is shown schematically. Detailed Implementation

[0021] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0022] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0023] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0024] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0025] In the embodiments of this disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of data (e.g., including but not limited to user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken to prevent unauthorized access to user personal information data and to maintain information security and network security. In the embodiments of this disclosure, user authorization or consent is obtained before acquiring or collecting user personal information.

[0026] In the process of conceiving this disclosure, the inventors discovered that in related technologies, for extra-long tunnels or tunnel groups, the computational resources required by fluid dynamics simulation software are too large, resulting in excessively high computational costs; and the empirical calculation of ventilation volume based on standards has large errors and is difficult to meet actual needs.

[0027] In view of this, this disclosure determines pollution emission information by acquiring vehicle speed information and emission standard information, and then determines the pollution intensity information of tunnel segments based on pollution emission information and traffic flow information. Subsequently, the tunnel information, pipeline information, pollution intensity information and ventilation shaft information are input into the target model to output pollution propagation results. Since the pollution propagation results are determined based on the pollution intensity information of the entire long tunnel being decomposed into multiple tunnel segments, the accuracy of the results is improved. Segmented calculation reduces the amount and complexity of the calculation data, saves calculation costs, and further improves calculation efficiency.

[0028] The embodiments of this disclosure provide a method, apparatus, equipment, medium, and program product for determining the pollution propagation results of ultra-long tunnels at high altitudes. The method includes acquiring tunnel information, ventilation shaft information, and vehicle information, wherein the ventilation shaft information includes fan information corresponding to the ventilation shaft, the tunnel information includes segment information and location information, the segment information is determined based on the fan information, and the vehicle information includes vehicle speed information, traffic flow information, and emission standard information; determining pollution emission information based on vehicle speed information and emission standard information; determining pollution intensity information corresponding to multiple tunnel segments based on pollution emission information and traffic flow information; and inputting tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into a target model and outputting pollution propagation results, wherein the pipeline information is determined based on the segment information.

[0029] Figure 1The illustration schematically depicts an application scenario of a method, apparatus, and equipment for determining the pollution propagation results in a high-altitude, ultra-long tunnel according to embodiments of the present disclosure.

[0030] like Figure 1 As shown, the application scenario according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.

[0031] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social media platform software, etc. (for example only).

[0032] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, laptops, and desktop computers.

[0033] Server 105 can be a server that provides various services, such as obtaining tunnel information, ventilation shaft information, and vehicle information through an interface. The backend management server can analyze and process the received relevant information and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0034] It should be noted that the method for determining the pollution propagation results in high-altitude ultra-long tunnels provided in this embodiment can generally be executed by server 105. Correspondingly, the device for determining the pollution propagation results in high-altitude ultra-long tunnels provided in this embodiment can generally be located in server 105. The method for determining the pollution propagation results in high-altitude ultra-long tunnels provided in this embodiment can also be executed by a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Correspondingly, the device for determining the pollution propagation results in high-altitude ultra-long tunnels provided in this embodiment can also be located in a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105.

[0035] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0036] Figure 2 A flowchart illustrating a method for determining the pollution propagation results in a high-altitude, ultra-long tunnel according to an embodiment of the present disclosure is shown.

[0037] like Figure 2 As shown, the method includes operations S210~S240.

[0038] During operation S210, tunnel information, ventilation shaft information, and vehicle information are obtained. Ventilation shaft information includes the fan information corresponding to the ventilation shaft. Tunnel information includes segment information and location information. Segment information is determined based on fan information. Vehicle information includes vehicle speed information, traffic flow information, and emission standard information.

[0039] According to embodiments of this disclosure, tunnel information, ventilation shaft information, and vehicle information can be obtained using construction drawings stored in specific system files or databases. Ventilation fan information may include fan location information, fan quantity information, and fan airflow information. Segmentation information can characterize tunnel segmentation information obtained by dividing the tunnel into segments based on the fan location information. Location information may include, but is not limited to, the tunnel's altitude and latitude / longitude information. Emission standard information can characterize the vehicle pollutant emission limits determined according to relevant emission standards or regulations. It is understood that emission standard information differs for different types of vehicles, and specific details are not limited here.

[0040] When operating S220, pollution emission information is determined based on vehicle speed information and emission standard information.

[0041] According to embodiments of this disclosure, vehicle speed information can characterize the design vehicle speed determined according to relevant specifications or standards. Pollution emission information can characterize the pollutant emissions of a single vehicle. It is understood that pollutants emitted in this disclosure include, but are not limited to, carbon monoxide, nitrogen oxides, hydrocarbons, carbon dioxide, particulate matter, and volatile harmful gases.

[0042] In operation S230, pollution intensity information corresponding to multiple tunnel segments is determined based on pollution emission information and traffic flow information.

[0043] According to embodiments of this disclosure, traffic flow information can characterize traffic flow information determined according to relevant design specifications and standards. Pollution intensity information can characterize the emission amount of pollutants corresponding to each tunnel segment, determined based on traffic flow information and tunnel segmentation information, after determining the pollution intensity information for each vehicle.

[0044] In operation S240, tunnel information, pipeline information, pollution intensity information, and ventilation shaft information are input into the target model, and the pollution propagation results are output. Among them, pipeline information is determined based on segment information.

[0045] According to embodiments of this disclosure, after acquiring and determining tunnel information, pipeline information, pollution intensity information, and ventilation shaft information, the above information is input into a target model. The target model can be a one-dimensional simulation model developed based on an object-oriented, equation-based computer language, and can be obtained by combining a pollution model, a pipeline model, and a ventilation shaft model. The pipeline information can characterize the number of pipelines determined based on the segmentation information of the tunnel, as well as the size information of each segment of the pipeline.

[0046] In one feasible embodiment, pollution emission information can be determined based on vehicle speed information and emission standard information, as shown in the following formula (1):

[0047] (1);

[0048] Wherein, C can represent the carbon monoxide emissions of a single vehicle, in kg / s; M can represent the emission limits of automobile pollutants specified in GB18352.6-2016 standard, in mg / km; and V can represent the design speed, in km / h.

[0049] After determining the pollution emission information, the pollution intensity information (pollutant emission) corresponding to multiple tunnel segments can be determined based on the pollution emission information and traffic flow information. The method for determining the pollution intensity information is shown in the following formula (2):

[0050] (2);

[0051] Among them, C i This can characterize the amount of pollutants emitted in the i-th tunnel segment, N. i It can represent the designed traffic flow in the i-th tunnel segment.

[0052] Preferably, the object-oriented, equation-based computer language can be the Modelica language.

[0053] According to embodiments of this disclosure, pollution emission information is determined by acquiring vehicle speed information and emission standard information. Then, pollution intensity information of tunnel segments is determined based on pollution emission information and traffic flow information. Subsequently, tunnel information, pipeline information, pollution intensity information, and ventilation shaft information are input into the target model to output pollution propagation results. Since the pollution propagation results are determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the results is improved. Segmented calculation reduces the amount and complexity of computational data, saves computational costs, and further improves computational efficiency.

[0054] Understandably, the above has explained how the results of pollution transmission were determined. The following will further explain the process of determining fluid information based on tunnel information and ventilation shaft information disclosed in this disclosure.

[0055] According to embodiments of this disclosure, the tunnel information further includes tunnel size information and tunnel fluid information corresponding to the tunnel, and the ventilation shaft information further includes ventilation shaft size information and ventilation shaft fluid information corresponding to the ventilation shaft. The method further includes: determining the tunnel fluid information and ventilation shaft fluid information based on the tunnel size information and the ventilation shaft size information, respectively.

[0056] According to embodiments of this disclosure, the size information may include the cross-sectional area and perimeter, and the tunnel fluid information can characterize the diameter of a circular cross-section pipe with the same flow characteristics, which transforms the flow channel of the tunnel cross section into a pipe with the same flow characteristics. It can be used to quantify the flow characteristics of channels with different shapes. The tunnel fluid information can also be referred to as the tunnel equivalent hydraulic diameter.

[0057] For example, after obtaining the tunnel size information and ventilation shaft size information, the cross-sectional area (denoted as A1 and A2) and perimeter (denoted as x1 and x2) of the tunnel and ventilation shaft can be determined respectively. Based on the determined cross-sectional area and perimeter, the fluid information of the tunnel and the fluid information of the ventilation shaft can be determined respectively, as shown in the following formulas (3)-(4):

[0058] (3);

[0059] (4);

[0060] Wherein, D1 is the tunnel fluid information, D2 is the ventilation shaft fluid information, A1 is the cross-sectional area of ​​the tunnel, A2 is the cross-sectional area of ​​the ventilation shaft, x1 is the perimeter of the tunnel, and x2 is the perimeter of the ventilation shaft.

[0061] Understandably, the above has provided an example of how to determine fluid information, and the following will further explain the process for determining the pollution propagation results of this disclosure.

[0062] According to embodiments of this disclosure, the fan information includes air volume information and quantity information, and the target model includes a pipeline model, a pollution model, and a fan model. Inputting tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into the target model and outputting pollution propagation results includes: combining the pollution model, pipeline model, and fan model based on a preset strategy to obtain the target model; and inputting tunnel fluid information, ventilation shaft fluid information, segmentation information, ventilation shaft size information, air volume information, atmospheric information, and pollution intensity information into the target model and outputting pollution propagation results, wherein the atmospheric information is determined by the location information.

[0063] According to embodiments of this disclosure, an intermediate model can be obtained by combining a pipe model and a fan model. The pipe model can simulate tunnels and ventilation shafts. The target model may also include air inlet / outlet boundary condition models. The contamination model can be used to simulate the inflow of tracking substances into a fluid system. Users can define one or more tracking substances according to actual needs and introduce these substances into the fluid flow at a preset flow rate.

[0064] For example, a pipe model and a fan model developed using the Modelica language are selected to simulate tunnels and ventilation shafts. Fluid information (including ventilation shaft fluid information and tunnel fluid information), dimensional information (including ventilation shaft dimensional information and tunnel dimensional information), and air volume information are used to combine the pipe model and fan model into an intermediate model according to a preset combination rule. Simulation is then performed based on the above information. At the same time, a pollution model developed using the Modelica language is selected to simulate pollutant emission sources. The pollution model and the intermediate model are combined according to a preset combination rule to obtain the target model. The target model is then simulated using a solver to obtain the pollution flow rate and pollution distribution information of each pipe segment, thereby obtaining the pollution propagation results.

[0065] According to embodiments of this disclosure, traditional three-dimensional fluid dynamics models typically require processing large amounts of meshes, spatial coordinates, and complex fluid dynamic equations, resulting in high computational cost and long solution time. In contrast, one-dimensional models focus only on the fluid flow in a one-dimensional direction (such as flow in a pipe or channel), thus eliminating the need for detailed calculations at every spatial point, significantly reducing computational complexity and time. Furthermore, due to the simplification of one-dimensional models, a large number of simulations can be completed in a short time, making them suitable for rapid iteration and real-time simulation, especially important for the rapid analysis of large-scale systems with long tunnels (such as systems consisting of long pipes or multiple fans).

[0066] Understandably, the above has provided an example of how to output the results of pollution propagation. The following will further explain how the pipeline model and fan model of this disclosure are updated.

[0067] According to embodiments of this disclosure, atmospheric information includes air pressure information and density information; the preset strategy includes model parameters, which include gas boundary parameters and temperature parameters; the method further includes: determining gas boundary parameters based on air pressure information and density information; and updating the initial pipeline model and the initial fan model based on the gas boundary parameters and temperature parameters to obtain the pipeline model and the fan model.

[0068] According to embodiments of this disclosure, the preset strategy is a strategy for setting the model parameters of the target model based on actual conditions and relevant standards. Gas boundary parameters can be determined based on gas pressure and density information, which can be determined according to atmospheric parameters corresponding to the tunnel. The initial pipeline model and initial fan model can represent the model before parameter adjustments. After determining the gas boundary parameters and temperature parameters, the initial pipeline model and initial fan model can be updated according to the latest parameters to obtain the pipeline model and fan model.

[0069] For example, the model "Fluid.FixedResistances.HydraulicDiameter" from the Buildings library, developed using the Modelica language, can be selected to simulate the tunnel and ventilation shaft, obtaining tunnel fluid information, ventilation shaft fluid information, tunnel length information, and ventilation shaft length information. The model "Fluid.Movers.FlowControlled_m_flow" can be selected to simulate the supply and exhaust fans, and their airflow information can be determined. The component "Buildings.Fluid.Sources.Boundary_pT" can be selected as the boundary condition model for the tunnel air inlet and outlet. Based on the local atmospheric pressure and air density, the pressure and density parameters in the model are determined, and the temperature parameter can be set to 20 degrees Celsius, resulting in the pipe model and fan model. These air inlet and outlet boundary condition models, pipe models, fan models, and supply and exhaust fan components are then connected in the order from tunnel inlet to outlet according to actual requirements.

[0070] Understandably, the above text has provided examples of how to update the pipeline model and the fan model. The following text will further explain how the target model of this disclosure is determined.

[0071] According to embodiments of this disclosure, the preset strategy further includes a combination strategy; combining the pollution model, pipeline model, and fan model based on the preset strategy to obtain a target model includes: updating the initial pollution model using pollution intensity information to obtain a pollution model; and combining the pollution model, pipeline model, and fan model based on the combination strategy to obtain a target model.

[0072] According to embodiments of this disclosure, the initial pollution model can be the model before parameter adjustments. After determining the pollution intensity information, the initial pollution model can be updated using the pollution intensity information to obtain the final pollution model. After the pollution model is determined, it can be connected to the pipeline and fan models of each tunnel segment according to the order from tunnel entrance to exit to obtain the target model.

[0073] For example, the Fluid.Sources.TraceSubstancesFlowSource model from the Buildings library, developed using the Modelica language, can be selected to simulate vehicle pollutant emission sources. The Modelica.Blocks.Sources.Constant model can be selected as the initial pollution model. The initial pollution model can be updated based on the pollution source release amount (pollution intensity information). This model can be connected before the pipe model and fan model corresponding to each tunnel segment. The pollution intensity information can be input into the pollution model, and then the Modelica solver can be used to simulate the pollution propagation results of each tunnel segment.

[0074] Understandably, the above has provided an example of how to determine the target model. The following will further explain how the air pressure information and density information are determined in this disclosure.

[0075] According to embodiments of this disclosure, the method further includes: acquiring atmospheric parameters corresponding to the tunnel, the atmospheric parameters including air pressure parameters, mass parameters, temperature parameters and density parameters; and determining air pressure information and density information based on the air pressure parameters, mass parameters, temperature parameters and density parameters.

[0076] According to embodiments of this disclosure, the pressure parameter can characterize standard atmospheric pressure, the mass parameter can characterize the molar mass of air, the temperature parameter can include standard condition temperature and standard temperature, and the density parameter can characterize the air density under standard conditions. Pressure information can characterize the atmospheric pressure at the location of the tunnel to be determined, and density information can characterize the air density at the location of the tunnel to be determined. By using the pressure parameter, temperature parameter, and location information, the pressure information can be determined, and thus the density information can be obtained based on the pressure information, temperature parameter, and pressure parameter.

[0077] Understandably, the above has provided an example of how to determine air pressure and density information, and the following will further explain how air pressure and density information are determined in this disclosure.

[0078] According to embodiments of this disclosure, determining air pressure information and density information based on air pressure parameters, mass parameters, temperature parameters, and density parameters includes: determining air pressure information based on air pressure parameters, temperature parameters, and location information; and obtaining density information based on air pressure information, temperature parameters, and air pressure parameters.

[0079] According to embodiments of this disclosure, air pressure information and density information are determined based on air pressure parameters, mass parameters, temperature parameters, and density parameters, thereby determining the air inlet and outlet boundary parameters of the target model based on the air pressure information and density information. The method for determining air pressure information and density information can be shown in the following formulas (5)-(6):

[0080] (5);

[0081] (6);

[0082] Where P is the local atmospheric pressure to be determined, P0 is the standard atmospheric pressure, taken as 101325 Pa, μ is the molar mass of air, taken as 29 kg / mol, g is the gravitational acceleration, taken as 9.8 m / s², and R is the universal gas constant, taken as 8.314 kJ / (kmol·K). γ represents the molar specific heat capacity, T represents the standard temperature (in K), H represents the altitude (in km), ρ represents the air density to be determined, and ρ0 represents the air density under standard conditions, with a value of 1.293 kg / m³. 3 T0 can characterize the standard temperature, which is 273.15K.

[0083] According to embodiments of this disclosure, determining the air inlet and outlet boundary models of the Modelica model based on air pressure and density information can improve the physical accuracy of the target model, optimize computational efficiency, and ensure reliability in thermodynamics and fluid dynamics. By pre-determining the air pressure and density conditions at the inlet and outlet, it is possible to avoid recalculating these conditions at each moment, reduce model complexity, lower the computational burden, and improve simulation efficiency, especially for large systems or situations requiring multiple simulations.

[0084] It is understood that the above description illustrates how to determine air pressure and density information. The following will describe the process of generating pollution source information and path information according to embodiments of this disclosure.

[0085] According to embodiments of this disclosure, the pollution propagation results include flow rate results and distribution results. The method further includes: processing the flow rate results and distribution results based on time point information to generate pollution source information and path information.

[0086] According to embodiments of this disclosure, simulations using a target model solver can yield the ventilation volume and pollutant distribution characteristics of each tunnel segment. The simulation data is then exported using the Modelica solver for further data analysis and processing. After generating pollution propagation results, visualization tools (such as the built-in Modelica tool) can be used to plot curves showing the ventilation volume and pollutant concentration distribution for each tunnel segment. Furthermore, 3D visualization tools can be used to display the spatial distribution of pollutants, helping to identify ventilation effectiveness and pollution propagation path distribution.

[0087] Figure 3 The diagram illustrates a process for outputting pollutant propagation results according to an embodiment of the present disclosure.

[0088] like Figure 3 As shown, construction drawings stored in a database or a specific file system can be used to obtain information 310 to be processed. Information 310 to be processed can include tunnel information 311, ventilation shaft information 312, and vehicle information 313. Vehicle information 313 includes vehicle speed information 3131, emission standard information 3132, and traffic flow information 3133. Pollution emission information 320 is determined based on vehicle speed information 3131 and emission standard information 3132, and pollution intensity information 330 corresponding to multiple tunnel segments is determined based on pollution emission information 321 and traffic flow information 3133. Then, tunnel information 311, pipeline information 340 (determined based on tunnel information 311), pollution intensity information 330, and ventilation shaft information 312 are input into target model 350 to obtain pollution propagation result 360.

[0089] Figure 4 The diagram illustrates a one-dimensional tunnel ventilation and pollutant propagation model (target model) based on Modelica according to an embodiment of the present disclosure.

[0090] like Figure 4 As shown, for long tunnel A, pollution intensity information 410 (pollutant emission) corresponding to each of the multiple tunnel segments can be determined based on the calculated pollution emission information and traffic flow information. Then, a pollution model 420 is determined based on the pollution intensity information 410. The pollution model 420 corresponding to each tunnel segment is then connected to the pipeline model 430, the fan model 440, and the air inlet / outlet boundary condition model 450 to form a target model 400. Finally, the pollution propagation result is output based on the target model 400. It can be understood that the number of pollution models 420, pipeline models 430, and fan models 440 can be determined according to the tunnel segmentation situation; no specific limitation is made here.

[0091] Based on the aforementioned method for determining the pollution propagation results in high-altitude ultra-long tunnels, this disclosure also provides a device for determining the pollution propagation results in high-altitude ultra-long tunnels. The following will be combined with... Figure 6 The device is described in detail.

[0092] Figure 5 A schematic block diagram of a device for determining the pollution propagation results in a high-altitude, ultra-long tunnel according to an embodiment of the present disclosure is shown.

[0093] like Figure 5 As shown, the device for determining the pollution propagation results in a high-altitude ultra-long tunnel in this embodiment includes an information acquisition module 510, an emission information determination module 520, an intensity information determination module 530, and a result output module 540.

[0094] The information acquisition module 510 is used to acquire tunnel information, ventilation shaft information, and vehicle information. The ventilation shaft information includes the fan information corresponding to the ventilation shaft; the tunnel information includes segmentation information and location information, with the segmentation information determined based on the fan information; and the vehicle information includes vehicle speed information, traffic flow information, and emission standard information. In one embodiment, the information acquisition module 510 can be used to perform the operation S210 described above, which will not be repeated here.

[0095] The emission information determination module 520 is used to determine pollution emission information based on vehicle speed information and emission standard information. In one embodiment, the emission information determination module 520 can be used to perform the operation S220 described above, which will not be repeated here.

[0096] The intensity information determination module 530 is used to determine the pollution intensity information corresponding to multiple tunnel segments based on pollution emission information and traffic flow information. In one embodiment, the intensity information determination module 530 can be used to perform the operation S230 described above, which will not be repeated here.

[0097] The result output module 540 is used to input tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into the target model and output the pollution propagation results. The pipeline information is determined based on segmentation information. In one embodiment, the result output module 540 can be used to perform the operation S240 described above, which will not be repeated here.

[0098] According to embodiments of this disclosure, the information acquisition module 510, emission information determination module 520, intensity information determination module 530, and result output module 540 in the device for determining the pollution propagation results of high-altitude ultra-long tunnels determine pollution emission information by acquiring vehicle speed information and emission standard information. Based on the pollution emission information and traffic flow information, the pollution intensity information of the tunnel segments is determined. Then, the tunnel information, pipeline information, pollution intensity information, and ventilation shaft information are input into the target model to output the pollution propagation results. Since the pollution propagation results are determined based on the pollution intensity information of the entire long tunnel decomposed into multiple tunnel segments, the accuracy of the results is improved. Segmented calculation reduces the amount and complexity of the calculation data, saves calculation costs, and further improves calculation efficiency.

[0099] According to embodiments of this disclosure, the tunnel information further includes tunnel size information and tunnel fluid information corresponding to the tunnel, and the ventilation shaft information further includes ventilation shaft size information and ventilation shaft fluid information corresponding to the ventilation shaft. The device further includes: a size information determination module, used to determine the tunnel fluid information and ventilation shaft fluid information respectively based on the tunnel size information and the ventilation shaft size information.

[0100] According to embodiments of this disclosure, the fan information includes airflow information and quantity information; the target model includes a pipeline model, a pollution model, and a fan model; the result output module 540 includes a combination submodule and a propagation result output submodule. The combination submodule is used to combine the pollution model, pipeline model, and fan model based on a preset strategy to obtain the target model; and the propagation result output submodule is used to input tunnel fluid information, ventilation shaft fluid information, segmentation information, ventilation shaft size information, airflow information, atmospheric information, and pollution intensity information into the target model, and output the pollution propagation result, wherein the atmospheric information is determined by the location information.

[0101] According to embodiments of this disclosure, atmospheric information includes air pressure information and density information; the preset strategy includes model parameters, which include gas boundary parameters and temperature parameters; the device further includes a boundary parameter determination module and a model update module. The boundary parameter determination module is used to determine gas boundary parameters based on air pressure information and density information; and the model update module is used to update the initial pipeline model and the initial fan model based on the gas boundary parameters and temperature parameters to obtain the pipeline model and the fan model.

[0102] According to embodiments of this disclosure, the preset strategy further includes a combination strategy; the combination submodule includes an initial pollution model update unit and a model combination unit. The initial pollution model update unit is used to update the initial pollution model using pollution intensity information to obtain a pollution model; and the model combination unit is used to combine the pollution model, pipeline model, and fan model based on the combination strategy to obtain a target model.

[0103] According to embodiments of this disclosure, the apparatus further includes an acquisition module and a parameter determination module. The acquisition module is used to acquire atmospheric parameters corresponding to the tunnel, including air pressure parameters, mass parameters, temperature parameters, and density parameters; and the parameter determination module is used to determine air pressure information and density information based on the air pressure parameters, mass parameters, temperature parameters, and density parameters.

[0104] According to embodiments of this disclosure, the parameter determination module includes: a pressure information determination submodule and a density information acquisition module. The pressure information determination submodule is used to determine pressure information based on pressure parameters, temperature parameters, and location information; and the density information acquisition module is used to obtain density information based on the pressure information, temperature parameters, and pressure parameters.

[0105] According to embodiments of this disclosure, the pollution propagation results include flow rate results and distribution results. The apparatus further includes a path information generation module, which processes the flow rate results and distribution results based on time point information to generate pollution source information and path information.

[0106] According to embodiments of this disclosure, any multiple modules among the information acquisition module 510, emission information determination module 520, intensity information determination module 530, and result output module 540 can be combined into one module, or any one of these modules can be split into multiple modules. Alternatively, at least some of the functions of one or more of these modules can be combined with at least some of the functions of other modules and implemented in one module. According to embodiments of this disclosure, at least one of the information acquisition module 510, emission information determination module 520, intensity information determination module 530, and result output module 540 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging the circuitry, or implemented in any one of software, hardware, and firmware methods, or in a suitable combination of any of these methods. Alternatively, at least one of the information acquisition module 510, emission information determination module 520, intensity information determination module 530, and result output module 540 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0107] Figure 6 A block diagram of an electronic device suitable for determining the results of pollution propagation in a high-altitude, ultra-long tunnel, according to an embodiment of the present disclosure, is shown schematically.

[0108] like Figure 6 As shown, an electronic device according to an embodiment of this disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage portion 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of this disclosure.

[0109] RAM 603 stores various programs and data required for the operation of the electronic device. Processor 601, ROM 602, and RAM 603 are interconnected via bus 604. Processor 601 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 602 and / or RAM 603. It should be noted that the programs may also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in said one or more memories.

[0110] According to embodiments of this disclosure, the electronic device may further include an input / output (I / O) interface 605, which is also connected to a bus 604. The electronic device may also include one or more of the following components connected to the input / output (I / O) interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the input / output (I / O) interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 610 as needed so that computer programs read from it can be installed into the storage section 608 as needed.

[0111] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0112] According to embodiments of this disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this disclosure, the computer-readable storage medium may include ROM 602 and / or RAM 603 and / or one or more memories other than ROM 602 and RAM 603 described above.

[0113] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code is used to enable the computer system to implement the method for determining the pollution propagation results in high-altitude ultra-long tunnels provided in embodiments of this disclosure.

[0114] When the computer program is executed by the processor 601, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0115] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and downloaded and installed via the communication section 609, and / or installed from the removable medium 611. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0116] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, it performs the functions defined in the system of this disclosure embodiment. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0117] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on a user's computing device, partially on a user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0118] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0119] Those skilled in the art will understand that the features described in the various embodiments of this disclosure can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in this disclosure. In particular, the features described in the various embodiments of this disclosure can be combined and / or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0120] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A method for determining the results of pollution propagation in high-altitude, ultra-long tunnels, characterized in that, include: Acquire tunnel information, ventilation shaft information, and vehicle information, wherein the ventilation shaft information includes ventilation fan information corresponding to the ventilation shaft, the ventilation fan information includes air volume information, quantity information, and location information, the tunnel information includes segment information and location information, the segment information is determined based on the location information in the ventilation fan information, and the vehicle information includes vehicle speed information, traffic flow information, and emission standard information; Pollution emission information is determined based on the vehicle speed information and the emission standard information; Based on the pollution emission information and the traffic flow information, pollution intensity information corresponding to multiple tunnel segments is determined; and The process involves inputting the tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into a target model and outputting pollution propagation results. This includes: combining a pollution model used to simulate the inflow of substances into a fluid system, a pipeline model used to simulate tunnels and ventilation shafts, and a fan model based on a preset strategy to obtain the target model; inputting tunnel fluid information, ventilation shaft fluid information, segmentation information, ventilation shaft size information, air volume information, atmospheric information determined by the location information, and pollution intensity information into the target model and outputting the pollution propagation results. The pipeline information is determined based on the segmentation information, and the atmospheric information includes air pressure information and density information. The air pressure information and the density information are determined based on the altitude parameter, mass parameter, temperature parameter, air pressure parameter, and density parameter corresponding to the location information.

2. The method according to claim 1, characterized in that, The tunnel information also includes tunnel size information and tunnel fluid information corresponding to the tunnel; the ventilation shaft information also includes ventilation shaft size information and ventilation shaft fluid information corresponding to the ventilation shaft; the method further includes: Based on the tunnel size information and the ventilation shaft size information, the tunnel fluid information and the ventilation shaft fluid information are determined respectively.

3. The method according to claim 1, characterized in that, The atmospheric information includes air pressure information and density information; The preset strategy includes model parameters, which include gas boundary parameters and temperature parameters. The method further includes: The gas boundary parameters are determined based on the pressure information and the density information; and The initial pipeline model and the initial fan model are updated based on the gas boundary parameters and the temperature parameters to obtain the pipeline model and the fan model.

4. The method according to claim 3, characterized in that, The preset strategy also includes a combination strategy; The pollution model, the pipeline model, and the fan model are combined based on a preset strategy to obtain the target model, including: The pollution intensity information is used to update the initial pollution model to obtain the pollution model. as well as The target model is obtained by combining the pollution model, the pipeline model, and the fan model based on the aforementioned combination strategy.

5. The method according to claim 1, characterized in that, The method further includes: Obtain atmospheric parameters corresponding to the tunnel, including air pressure, mass, temperature, and density parameters; and The air pressure information and the density information are determined based on the air pressure parameter, the mass parameter, the temperature parameter, and the density parameter.

6. The method according to claim 5, characterized in that, Determining the air pressure information and the density information based on the air pressure parameter, the mass parameter, the temperature parameter, and the density parameter includes: Based on the air pressure parameters, the temperature parameters, and the location information, the air pressure information is determined; and The density information is obtained based on the air pressure information, the temperature parameter, and the air pressure parameter.

7. The method according to claim 1, characterized in that, The pollution propagation results include flow rate results and distribution results, and the method further includes: The flow rate results and distribution results are processed based on the time point information to generate pollution source information and path information.

8. A device for determining the results of pollution propagation in a high-altitude, ultra-long tunnel, characterized in that, include: The information acquisition module is used to acquire tunnel information, ventilation shaft information, and vehicle information. The ventilation shaft information includes the fan information corresponding to the ventilation shaft. The fan information includes air volume information, quantity information, and location information. The tunnel information includes segment information and location information. The segment information is determined based on the location information in the fan information. The vehicle information includes vehicle speed information, traffic flow information, and emission standard information. An emission information determination module is used to determine pollution emission information based on the vehicle speed information and the emission standard information; The intensity information determination module is used to determine pollution intensity information corresponding to multiple tunnel segments based on the pollution emission information and the traffic flow information; and The result output module is used to input the tunnel information, pipeline information, pollution intensity information, and ventilation shaft information into the target model and output the pollution propagation result. This includes: combining a pollution model used to simulate the inflow of substances into a fluid system, a pipeline model used to simulate tunnels and ventilation shafts, and a fan model based on a preset strategy to obtain the target model; inputting tunnel fluid information, ventilation shaft fluid information, segmentation information, ventilation shaft size information, air volume information, atmospheric information determined by the location information, and pollution intensity information into the target model and outputting the pollution propagation result. The pipeline information is determined based on the segmentation information, and the atmospheric information includes air pressure information and density information, which are determined based on the altitude, mass, temperature, air pressure, and density parameters corresponding to the location information.

9. An electronic device, comprising: One or more processors; Memory, used to store one or more programs. Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 7.

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