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

Abstract

The invention provides a method, device and equipment for determining a pollution propagation result of a high-altitude super-long tunnel, which can be applied to the technical field of building simulation and ventilation, and the method comprises the following steps: obtaining tunnel information, air shaft information and vehicle information, the air shaft information comprises fan information corresponding to an air shaft, the tunnel information comprises segment information and position information, and the vehicle information comprises vehicle information corresponding to the air shaft; the segmentation information is determined based on the fan information; determining pollution emission information based on the vehicle speed information and the emission standard information; determining pollution intensity information corresponding to the plurality of tunnel segments based on the pollution emission information and the traffic flow information; the tunnel information, the pipeline information, the pollution intensity information and the air shaft information are input into the target model, a pollution propagation result is output, and the pipeline information is determined and obtained based on the segment information. Through the method, the accuracy of a pollution propagation result can be improved, the consumption of overall calculation resources is reduced through segmented calculation, the calculation cost is saved, and the result generation efficiency is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of building simulation and ventilation technology, and more specifically, to a method, device and equipment for determining pollution propagation results of a high-altitude ultra-long tunnel. Background Art

[0002] Ventilation technology is a difficult and key point in the construction of long tunnels for roads and railways at high altitudes. Relevant technologies are mainly based on experience, and the ventilation volume is determined by the number of air changes; or fluid dynamics simulation software (such as Fluent, Fire Dynamics Simulator) is used to simulate the distribution of air temperature, velocity and pollutants in the tunnel.

[0003] In the process of conceiving the present disclosure, the inventors discovered that in the related art, there are the following defects in the calculation of pollutant propagation: for extra-long tunnels or tunnel groups, the computing resources required by the fluid mechanics simulation software are too large, resulting in excessively high computing 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, the present disclosure provides a method, device, equipment, medium and program product for determining pollution propagation results in a high-altitude ultra-long tunnel.

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

[0006] Another aspect of the present disclosure provides a device for determining pollution propagation results of high-altitude ultra-long tunnels, including: an information acquisition module, used to acquire tunnel information, air shaft information and vehicle information, wherein the air shaft information includes fan information corresponding to the air shaft, the tunnel information includes segmentation information and position information, the segmentation information is determined based on the fan information, and the vehicle information includes vehicle speed information, vehicle flow information and emission standard information; an emission information determination module, used to determine pollution emission information based on the vehicle speed information and the emission standard information; an intensity information determination module, used to determine pollution intensity information corresponding to multiple tunnel segments based on the pollution emission information and the vehicle flow information; and a result output module, used to input the tunnel information, pipeline information, pollution intensity information and air shaft information into a target model, and output pollution propagation results, wherein the pipeline information is determined based on the segmentation information.

[0007] Another aspect of the present disclosure provides an electronic device, comprising:

[0008] one or more processors;

[0009] a memory for storing 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 as described above.

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

[0012] Another aspect of the present disclosure provides a computer program product, which includes computer executable instructions, and when the instructions are executed, are used to implement the method as described above.

[0013] According to an embodiment of the present disclosure, pollution emission information is determined by acquiring vehicle speed information and emission standard information, thereby determining the pollution intensity information of the tunnel segment based on the pollution emission information and vehicle flow information, and then inputting the tunnel information, pipeline information, pollution intensity information and air shaft information into the target model to output the pollution propagation result. Since the pollution propagation result is determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the result is improved, and the segmented calculation reduces the data volume and complexity of the calculation data, saves the calculation cost, and further improves the calculation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0015] Figure 1 A diagram schematically shows an application scenario of a method, device and apparatus for determining pollution propagation results of a high-altitude ultra-long tunnel according to an embodiment of the present disclosure;

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

[0017] Figure 3 A schematic diagram schematically shows the output process of pollutant propagation results according to an embodiment of the present disclosure;

[0018] Figure 4 A schematic diagram of a one-dimensional tunnel ventilation and pollutant propagation model (target model) established based on Modelica according to an embodiment of the present disclosure is schematically shown;

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

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

[0021] Hereinafter, embodiments of the present disclosure will 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 present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0022] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

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

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

[0025] In the embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain information security and network security. In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting user personal information.

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

[0027] In view of this, the present invention determines the pollution emission information by acquiring the vehicle speed information and emission standard information, and thus determines the pollution intensity information of the tunnel segment based on the pollution emission information and the traffic flow information, and then inputs the tunnel information, pipeline information, pollution intensity information and ventilation shaft information into the target model to output the pollution propagation result. Since the pollution propagation result is determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the result is improved, and the segmented calculation reduces the data volume and complexity of the calculation data, saves the calculation cost, and further improves the calculation efficiency.

[0028] Embodiments of the present disclosure provide a method, apparatus, device, medium and program product for determining pollution propagation results of high-altitude ultra-long tunnels, the method comprising 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 position information, the segmentation information is determined based on the fan information, the vehicle information comprises vehicle speed information, vehicle flow information and emission standard information; pollution emission information is determined based on the vehicle speed information and emission standard information; pollution intensity information corresponding to multiple tunnel segments is determined based on the pollution emission information and vehicle flow information; and tunnel information, pipeline information, pollution intensity information and air shaft information are input into a target model, and pollution propagation results are output, wherein the pipeline information is determined based on the segmentation information.

[0029] Figure 1The application scenario diagram of the method, device and equipment for determining the pollution propagation results of a high-altitude ultra-long tunnel according to an embodiment of the present disclosure is schematically shown.

[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 is used to provide a medium for 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, wireless communication links, or optical fiber cables, etc.

[0031] The user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through 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 platform software, etc. (only for example).

[0032] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0033] The server 105 may 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 may 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 result of the high-altitude ultra-long tunnel provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the device for determining the pollution propagation result of the high-altitude ultra-long tunnel provided in the embodiment of the present disclosure can generally be set in the server 105. The method for determining the pollution propagation result of the high-altitude ultra-long tunnel provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the device for determining the pollution propagation result of the high-altitude ultra-long tunnel provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0035] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

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

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

[0038] In operation S210, tunnel information, air shaft information and vehicle information are obtained, wherein the air shaft information includes fan information corresponding to the air shaft, the tunnel information includes segmentation information and position 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.

[0039] According to an embodiment of the present disclosure, tunnel information, air shaft information and vehicle information can be obtained using construction drawings stored in specific system files or information libraries. Fan information may include fan location information, fan quantity information and fan air volume information. Segmentation information may represent tunnel segmentation information obtained by segmenting the tunnel based on the location information of the fan. Location information may include but is not limited to the altitude and longitude and latitude information of the tunnel. Emission standard information may represent the automobile pollutant emission limits determined according to relevant emission standards or specifications. It can be understood that the emission standard information is different for different types of vehicles, which is not specifically limited here.

[0040] In operation S220, pollution emission information is determined based on the vehicle speed information and the emission standard information.

[0041] According to an embodiment of the present disclosure, the vehicle speed information may represent the design vehicle speed determined according to relevant specifications or standards. The pollution emission information may represent the pollutant emission of a single vehicle. It is understood that the pollutant emissions in the present 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 a plurality of tunnel segments is determined based on the pollution emission information and the vehicle flow information.

[0043] According to an embodiment of the present disclosure, the traffic flow information may represent the traffic flow information determined according to relevant design specifications and standards. The pollution intensity information may represent the pollution intensity emission corresponding to each tunnel segment determined according to the traffic flow information and tunnel segment information after determining the pollution intensity information of each vehicle.

[0044] In operation S240, tunnel information, pipeline information, pollution intensity information and wind shaft information are input into a target model, and a pollution propagation result is output, wherein the pipeline information is determined based on the segmentation information.

[0045] According to an embodiment of the present disclosure, after obtaining and determining tunnel information, pipeline information, pollution intensity information and wind shaft information, the above information is input into a target model, which 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 fan model. The pipeline information can represent the pipeline quantity information determined based on the tunnel segmentation information and the size information of each segmented pipeline.

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

[0047] (1);

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

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

[0050] (2);

[0051] Among them, C i It can characterize the pollutant emission in the i-th tunnel, N i It can represent the design traffic flow in the i-th tunnel.

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

[0053] According to an embodiment of the present disclosure, pollution emission information is determined by acquiring vehicle speed information and emission standard information, thereby determining the pollution intensity information of the tunnel segment based on the pollution emission information and vehicle flow information, and then inputting the tunnel information, pipeline information, pollution intensity information and air shaft information into the target model to output the pollution propagation result. Since the pollution propagation result is determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the result is improved, and the segmented calculation reduces the data volume and complexity of the calculation data, saves the calculation cost, and further improves the calculation efficiency.

[0054] It can be understood that the above describes the method for determining the pollution propagation result, and the process of determining the fluid information according to the tunnel information and the ventilation shaft information of the present disclosure will be further described below.

[0055] According to an embodiment of the present disclosure, the tunnel information also includes tunnel size information and tunnel fluid information corresponding to the tunnel, and the wind shaft information also includes wind shaft size information and wind shaft fluid information corresponding to the wind shaft. The method also includes: based on the tunnel size information and the wind shaft size information, determining the tunnel fluid information and the wind shaft fluid information respectively.

[0056] According to an embodiment of the present disclosure, the dimensional information may include the cross-sectional area and the circumference. The tunnel fluid information may characterize the diameter of converting the flow channel of the tunnel cross-section into a circular cross-sectional pipe with the same flow characteristics, and may be used to quantify the flow characteristics of channels of different shapes. The tunnel fluid information may also be referred to as the equivalent hydraulic diameter of the tunnel.

[0057] For example, after obtaining the tunnel size information and the ventilation shaft size information, the cross-sectional area (respectively denoted as A1 and A2) and the perimeter (respectively denoted as x1 and x2) of the tunnel and the ventilation shaft can be determined respectively, and 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] Among them, 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 circumference of the tunnel, and x2 is the circumference of the ventilation shaft.

[0061] It can be understood that the above describes an example of how to determine fluid information, and the process of determining the pollution propagation result of the present disclosure will be further described below.

[0062] According to an embodiment of the present 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; the tunnel information, pipeline information, pollution intensity information and air shaft information are input into the target model, and the pollution propagation result is output, including: combining the pollution model, the pipeline model and the fan model based on a preset strategy to obtain the target model; and inputting the tunnel fluid information, air shaft fluid information, segmentation information, air shaft size information, air volume information, atmospheric information and pollution intensity information into the target model, and outputting the pollution propagation result, wherein the atmospheric information is determined by the location information.

[0063] According to an embodiment of the present disclosure, the pipeline model and the fan model are combined to obtain an intermediate model. The pipeline model can simulate tunnels and ventilation shafts. The target model can also include an air inlet and outlet boundary condition model. The contamination model can be used to simulate the inflow of tracking substances in the fluid system. The user 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 pipeline model and a fan model developed based on the Modelica language are selected to simulate tunnels and ventilation shafts, and the pipeline model and the fan model are combined into an intermediate model according to the preset combination rules using fluid information (including shaft fluid information and tunnel fluid information), size information (including shaft size information and tunnel size information) and air volume information, and simulation is performed based on the above information; at the same time, a pollution model developed based on the Modelica language is selected to simulate the pollutant emission source, and the pollution model and the intermediate model are combined based on the preset combination rules to obtain the target model, which is simulated through the solver to obtain the pollution flow and pollution distribution information of each pipeline segment, and then the pollution propagation result is obtained.

[0065] According to the embodiments of the present disclosure, traditional three-dimensional fluid dynamics models usually need to process a large number of grids, spatial coordinates and complex fluid dynamics equations, resulting in large amount of calculation and long solution time. In contrast, the one-dimensional model only focuses on the one-dimensional flow direction of the fluid (such as the flow in a pipe or channel), so there is no need to perform detailed calculations for each spatial point, which significantly reduces the computational complexity and time. And due to the simplification of the one-dimensional model, a large number of simulations can be completed in a short time, which is suitable for fast iteration and real-time simulation, especially for the fast analysis of large-scale systems in long tunnels (such as long pipelines or systems composed of multiple fans).

[0066] It can be understood that the above describes an example of how to output pollution propagation results, and the updating method of the pipeline model and the fan model of the present disclosure will be further described below.

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

[0068] According to an embodiment of the present disclosure, the preset strategy is a strategy for setting the model parameters of the target model based on actual conditions and relevant standards. The gas boundary parameters can be determined based on the air pressure information and the density information, and the air pressure information and the density information can be determined based on the atmospheric parameters corresponding to the tunnel. The initial pipeline model and the initial fan model can characterize the model before the parameters are adjusted. After determining the gas boundary parameters and the temperature parameters, the initial pipeline model and the initial fan model can be updated according to the latest parameters to obtain the pipeline model and the fan model.

[0069] For example, the model "Fluid.FixedResistances.HydraulicDiameter" in the Buildings library developed based on the Modelica language can be selected to simulate the tunnel and ventilation shaft, and obtain the 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 fan and determine its air volume information; the "Buildings.Fluid.Sources.Boundary_pT" component can be selected as the tunnel air inlet and outlet boundary condition model, and the pressure parameters and density parameters in the model can be determined based on the local atmospheric pressure and air density. The temperature parameter can be set to 20 degrees Celsius to obtain the pipeline model and fan model. The above air inlet and outlet boundary condition models, pipeline models, fan models, and supply and exhaust fan components are connected in the order from the tunnel entrance to the exit according to actual needs.

[0070] It can be understood that the above describes an example of how to update the pipeline model and the fan model, and the following will further describe the method for determining the target model of the present disclosure.

[0071] According to an embodiment of the present disclosure, the preset strategy also includes a combination strategy; based on the preset strategy, the pollution model, the pipeline model and the fan model are combined to obtain a target model, including: using pollution intensity information to update the initial pollution model to obtain a pollution model; and based on the combination strategy, the pollution model, the pipeline model and the fan model are combined to obtain a target model.

[0072] According to an embodiment of the present disclosure, the initial pollution model may be a model before parameter adjustment. After the pollution intensity information is determined, the pollution intensity information may be used to update the initial pollution model to obtain a pollution model. After the pollution model is determined, the pollution model may be connected to the pipeline model and the fan model of each tunnel segment according to the order from the tunnel entrance to the exit to obtain a target model.

[0073] For example, you can select the Fluid.Sources.TraceSubstancesFlowSource model in the Buildings library developed based on the Modelica language to simulate the vehicle pollutant emission source, select the "Modelica.Blocks.Sources.Constant" model as the initial pollution model, update the initial pollution model according to the pollution source release value (pollution intensity information), connect the model in front of the pipeline model and fan model corresponding to each tunnel section, input the pollution intensity information into the pollution model, and then simulate it through the Modelica solver to obtain the pollution propagation results of each tunnel section.

[0074] It can be understood that the above describes an example of how to determine the target model, and the following will further describe the method of determining the air pressure information and density information in the present disclosure.

[0075] According to an embodiment of the present disclosure, the method also 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 an embodiment of the present disclosure, the air pressure parameter may characterize the standard atmospheric pressure, the mass parameter may characterize the molar mass of the air, the temperature parameter may include the standard condition temperature and the standard temperature, and the density parameter may characterize the air density under standard conditions. The air pressure information may characterize the atmospheric pressure at the location of the tunnel to be determined, and the density information may characterize the air density at the location of the tunnel to be determined. The air pressure information may be determined by the air pressure parameter, the temperature parameter, and the position information, thereby obtaining the density information based on the air pressure information, the temperature parameter, and the air pressure parameter.

[0077] It can be understood that the above describes an example of how to determine the air pressure information and the density information, and the following will further describe how to determine the air pressure information and the density information in the present disclosure.

[0078] According to an embodiment of the present disclosure, air pressure information and density information are determined based on air pressure parameters, quality parameters, temperature parameters and density parameters, including: determining air pressure information based on air pressure parameters, temperature parameters and position information; and obtaining density information based on air pressure information, temperature parameters and air pressure parameters.

[0079] According to an embodiment of the present disclosure, air pressure information and density information are determined according to air pressure parameters, mass parameters, temperature parameters and density parameters, so that the air inlet and outlet boundary parameters of the target model can be determined according to the air pressure information and density information. The air pressure information and density information can be determined as 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, which is 101325 Pa, μ is the molar mass of air, which is 29 kg / mol, g is the acceleration of gravity, which is 9.8 m / s2, and R is the universal gas constant, which is 8.314 kJ / (kmol·K). , γ can represent the molar specific heat capacity, T can represent the standard temperature, the unit is K, H is the altitude, the unit is km, ρ can represent the air density to be determined, ρ0 can represent the air density under standard conditions, the value is 1.293kg / m 3 ; T0 can represent the standard temperature, which is 273.15K.

[0083] According to the embodiments of the present disclosure, the air inlet and outlet boundary model of the Modelica model is determined according to the air pressure and density information, which can improve the physical accuracy of the target model, optimize the calculation efficiency, and ensure the reliability in thermodynamics and fluid mechanics; by predetermining the air pressure and density conditions of the inlet and outlet, it is possible to avoid recalculating these conditions at each moment, thereby reducing the model complexity, reducing the calculation burden, and improving the simulation efficiency, especially for large systems or situations that require multiple simulations.

[0084] It can be understood that the above describes an example of how to determine air pressure information and density information, and the following will describe the process of generating pollution source information and path information in an embodiment of the present disclosure.

[0085] According to an embodiment of the present disclosure, the pollution propagation result includes a flow result and a distribution result, and the method further includes: processing the flow result and the distribution result based on the time point information to generate pollution source information and path information.

[0086] According to the embodiments of the present disclosure, the ventilation volume and pollutant distribution characteristics of each tunnel segment can be obtained by simulating with the solver of the target model, and the simulation data can be exported through the Modelica solver for further data analysis and processing. After the pollution propagation results are generated, a visualization tool (such as a built-in Modelica tool) can be used to draw a curve chart of the ventilation volume results and pollutant concentration distribution results of each pipe segment based on the pollution propagation results. A three-dimensional visualization tool can also be used to display the distribution of pollutants in space to help identify the ventilation effect and the distribution of pollution propagation paths.

[0087] Figure 3 The figure schematically shows the output process of the pollutant propagation result according to the embodiment of the present disclosure.

[0088] like Figure 3 As shown, the information to be processed 310 can be obtained from the construction drawings stored in the information library or a specific file system. The information to be processed 310 may include tunnel information 311, ventilation shaft information 312 and vehicle information 313. The vehicle information 313 includes vehicle speed information 3131, emission standard information 3132 and vehicle flow information 3133; thereby, the pollution emission information 320 is determined according to the vehicle speed information 3131 and the emission standard information 3132, and the pollution intensity information 330 corresponding to multiple tunnel segments is determined according to the pollution emission information 320 and the vehicle flow information 3133; and then the tunnel information 311, the pipeline information 340 (determined based on the tunnel information 311), the pollution intensity information 330 and the ventilation shaft information 312 are input into the target model 350 to obtain the pollution propagation result 360.

[0089] Figure 4 A schematic diagram of a one-dimensional tunnel ventilation and pollutant propagation model (target model) established based on Modelica according to an embodiment of the present disclosure is schematically shown.

[0090] like Figure 4 As shown, for the long tunnel A, the 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, so as to determine the pollution model 420 based on the pollution intensity information 410, and connect the pollution model 420 corresponding to each tunnel segment with the pipeline model 430, the fan model 440 and the air inlet and outlet boundary condition model 450 to form a target model 400, and then output the pollution propagation result 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 segmentation of the tunnel, and is not specifically limited here.

[0091] Based on the above-mentioned method for determining the pollution propagation results of a high-altitude ultra-long tunnel, the present disclosure also provides a device for determining the pollution propagation results of a high-altitude ultra-long tunnel. Figure 6 The device is described in detail.

[0092] Figure 5 The structural block diagram of the device for determining the pollution propagation result of a high-altitude ultra-long tunnel according to an embodiment of the present disclosure is schematically shown.

[0093] like Figure 5 As shown, the device for determining the pollution propagation result of 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, air shaft information, and vehicle information, wherein the air shaft information includes fan information corresponding to the air shaft, the tunnel information includes segmentation information and position information, the segmentation information is determined based on the fan information, and the vehicle information includes vehicle speed information, vehicle 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 the pollution emission information based on the vehicle speed information and the 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 described in detail here.

[0096] The intensity information determination module 530 is used to determine the pollution intensity information corresponding to the multiple tunnel segments based on the pollution emission information and the 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 described in detail here.

[0097] The result output module 540 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, wherein the pipeline information is determined based on the 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 an embodiment of the present disclosure, through the information acquisition module 510, the emission information determination module 520, the intensity information determination module 530 and the result output module 540 in the device for determining the pollution propagation result of a high-altitude super-long tunnel, the pollution emission information is determined by the acquired vehicle speed information and emission standard information, so as to determine the pollution intensity information of the tunnel segment based on the pollution emission information and the vehicle flow information, and then the tunnel information, pipeline information, pollution intensity information and ventilation shaft information are input into the target model to output the pollution propagation result. Since the pollution propagation result is determined based on the pollution intensity information of decomposing the entire long tunnel into multiple tunnel segments, the accuracy of the result is improved, and the segmented calculation reduces the data volume and complexity of the calculation data, saves the calculation cost, and further improves the calculation efficiency.

[0099] According to an embodiment of the present disclosure, the tunnel information also includes tunnel size information and tunnel fluid information corresponding to the tunnel, and the air shaft information also includes air shaft size information and air shaft fluid information corresponding to the air shaft. The device also includes: a size information determination module, which is used to determine the tunnel fluid information and the air shaft fluid information respectively based on the tunnel size information and the air shaft size information.

[0100] According to an embodiment of the present 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; 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, the pipeline model and the fan model based on a preset strategy to obtain the target model; and the propagation result output submodule is used to input the tunnel fluid information, the air shaft fluid information, the segmentation information, the air shaft size information, the air volume information, the atmospheric information and the 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 an embodiment of the present disclosure, the atmospheric information includes air pressure information and density information; the preset strategy includes model parameters, and the model parameters include gas boundary parameters and temperature parameters. The device also includes: a boundary parameter determination module and a model update module. The boundary parameter determination module is used to determine the gas boundary parameters based on the air pressure information and the 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 the temperature parameters to obtain the pipeline model and the fan model.

[0102] According to an embodiment of the present disclosure, the preset strategy also includes a combination strategy; the combination submodule includes: an initial pollution model updating unit and a model combination unit. The initial pollution model updating 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, the pipeline model and the fan model based on the combination strategy to obtain a target model.

[0103] According to an embodiment of the present disclosure, the device further includes: an acquisition module and a parameter determination module. The acquisition module is used to acquire atmospheric parameters corresponding to the tunnel, the atmospheric parameters 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 an embodiment of the present disclosure, the parameter determination module includes: an air pressure information determination submodule and a density information acquisition module. The air pressure information determination submodule is used to determine the air pressure information based on the air pressure parameter, the temperature parameter and the position information; and the density information acquisition module is used to obtain the density information based on the air pressure information, the temperature parameter and the air pressure parameter.

[0105] According to an embodiment of the present disclosure, the pollution propagation result includes a flow result and a distribution result, and the device also includes: a path information generation module, which is used to process the flow result and the distribution result based on the time point information to generate pollution source information and path information.

[0106] According to an embodiment of the present disclosure, any multiple modules among the information acquisition module 510, the emission information determination module 520, the intensity information determination module 530 and the result output module 540 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the information acquisition module 510, the emission information determination module 520, the intensity information determination module 530 and the result output module 540 can be at least partially implemented as a hardware circuit, 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 a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of the information acquisition module 510, the emission information determination module 520, the intensity information determination module 530 and the result output module 540 may be at least partially implemented as a computer program module, which may perform a corresponding function when executed.

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

[0108] like Figure 6 As shown, the electronic device according to the embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 602 or the program loaded from the storage part 608 to the random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include an on-board 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 the embodiment of the present disclosure.

[0109] In RAM 603, various programs and data required for the operation of the electronic device are stored. The processor 601, ROM 602 and RAM 603 are connected to each other through a bus 604. The processor 601 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 602 and / or RAM 603. It should be noted that the program can also be stored in one or more memories other than ROM 602 and RAM 603. The processor 601 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0110] According to an embodiment of the present disclosure, the electronic device may further include an input / output (I / O) interface 605, which is also connected to the bus 604. The electronic device may further include one or more of the following components connected to the input / output (I / O) interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 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 magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.

[0111] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0112] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 602 and / or RAM 603 described above and / or one or more memories other than ROM 602 and RAM 603.

[0113] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method for determining the pollution propagation result of a high-altitude ultra-long tunnel provided in the embodiment of the present disclosure.

[0114] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 601. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

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

[0116] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, apparatus, module, unit, etc. described above can be implemented by a computer program module.

[0117] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0118] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0119] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0120] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for determining the pollution propagation results of a high-altitude ultra-long tunnel, characterized in that: include: Acquire tunnel information, air shaft information and vehicle information, wherein the air shaft information includes fan information corresponding to the air shaft, the tunnel information includes segment information and position information, the segment information is determined based on the fan information, and the vehicle information includes vehicle speed information, vehicle 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 a plurality of tunnel segments based on the pollution emission information and the vehicle flow information; and The tunnel information, the pipeline information, the pollution intensity information and the wind shaft information are input into a target model, and a pollution propagation result is output, wherein the pipeline information is determined based on the segmentation information.

2. The method according to claim 1, characterized in that The tunnel information further includes tunnel size information and tunnel fluid information corresponding to the tunnel, the ventilation shaft information further includes ventilation shaft size information and ventilation shaft fluid information corresponding to the ventilation shaft, and 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 2, characterized in that 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; The tunnel information, the pipeline information, the pollution intensity information and the ventilation shaft information are input into a target model, and a pollution propagation result is output, including: Combining the pollution model, the pipeline model and the fan model based on a preset strategy to obtain the target model; and The tunnel fluid information, the air shaft fluid information, the segmentation information, the air shaft size information, the air volume information, the atmospheric information and the pollution intensity information are input into the target model, and the pollution propagation result is output, wherein the atmospheric information is determined by the location information.

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

5. The method according to claim 4, 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: Using the pollution intensity information to update the initial pollution model to obtain the pollution model; as well as The pollution model, the pipeline model and the fan model are combined based on the combination strategy to obtain the target model.

6. The method according to claim 1, characterized in that The method further comprises: Acquiring atmospheric parameters corresponding to the tunnel, the atmospheric parameters including air pressure parameters, mass parameters, temperature parameters 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.

7. The method according to claim 6, 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: determining the air pressure information based on the air pressure parameter, the temperature parameter and the position information; and The density information is obtained based on the air pressure information, the temperature parameter and the air pressure parameter.

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

9. A device for determining the pollution propagation results of a high-altitude ultra-long tunnel, characterized in that: include: An information acquisition module, used to acquire 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 position information, the segmentation information is determined based on the fan information, and the vehicle information includes vehicle speed information, vehicle flow information and emission standard information; an emission information determination module, configured to determine pollution emission information based on the vehicle speed information and the emission standard information; an intensity information determination module, configured to determine pollution intensity information corresponding to a plurality of tunnel segments based on the pollution emission information and the vehicle flow information; and A result output module is used to input the tunnel information, pipeline information, pollution intensity information and wind shaft information into a target model, and output pollution propagation results, wherein the pipeline information is determined based on the segmentation information.

10. An electronic device, comprising: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 8.

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