Method for determining parameters of water mist fire extinguishing system of cable tunnel of pumped storage power station

Abstract

The invention provides a method for determining parameters of a water mist fire extinguishing system of a cable tunnel of a pumped storage power station. The method comprises the steps that a simulation physical model is constructed based on tunnel attribute parameters of a cable tunnel and cable configuration parameters of a cable in the cable tunnel, and the tunnel attribute parameters comprise a first gradient parameter of the cable tunnel; on the basis of the simulation physical model and ignition condition parameters, combustion of the cable in the cable tunnel is simulated, a diffusion path of smoke generated by combustion is determined, and the diffusion path of the smoke is associated with the first gradient parameter; based on respective fire extinguishing effect evaluation results of a plurality of fire extinguishing simulation experiments, target nozzle configuration parameters of the water mist fire extinguishing system for the first gradient parameter are determined, and the fire extinguishing simulation experiments are determined based on the diffusion path of the flue gas and variable values of variables in the nozzle configuration parameters of the water mist fire extinguishing system.

Description

Technical Field

[0001] This disclosure relates to the fields of fire safety and building safety technology, and more specifically, to a method for determining the parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel. Background Technology

[0002] As a key infrastructure for power transmission, the cable tunnel of a pumped storage power station plays a vital role in power delivery. During periods of low electricity demand, pumped storage power stations utilize surplus electricity to pump water from the lower reservoir to the upper reservoir for energy storage. Conversely, during peak electricity demand periods, they release water from the upper reservoir to drive turbines and generate electricity.

[0003] However, the cables in the cable tunnels of pumped storage power stations are usually high-voltage cables, posing a high fire risk. Due to the significant elevation difference, cable tunnels are typically enclosed structures with a large slope, causing heat and smoke generated by a fire to accumulate locally. This not only accelerates the spread of the fire but also hinders firefighting efforts. Therefore, the proper configuration of fire suppression systems in cable tunnels is particularly important. Summary of the Invention

[0004] In view of this, this disclosure provides a method and apparatus for determining the parameters of a fine water mist fire extinguishing system for cable tunnels of pumped storage power stations.

[0005] One aspect of this disclosure provides a method for determining the parameters of a fine water mist fire suppression system in a pumped storage power station cable tunnel. The method includes: constructing a simulation physical model based on tunnel attribute parameters and cable configuration parameters within the cable tunnel, wherein the tunnel attribute parameters include a first slope parameter of the cable tunnel; simulating cable combustion in the cable tunnel based on the simulation physical model and ignition condition parameters, determining the diffusion path of the smoke generated by combustion, wherein the smoke diffusion path is associated with the first slope parameter; and determining the target nozzle configuration parameters of the fine water mist fire suppression system for the first slope parameter based on the fire suppression effect evaluation results of multiple fire suppression simulation experiments, wherein the fire suppression simulation experiments determine the parameters based on the smoke diffusion path and the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire suppression system.

[0006] According to embodiments of this disclosure, the variables include independent variables and control variables. Based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters for the fine water mist fire extinguishing system for the first slope parameter are determined, including: determining multiple fire extinguishing simulation experiments based on the smoke diffusion path and the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system, wherein the parameter values ​​of the control variables in the multiple fire extinguishing simulation experiments are the same, and the parameter values ​​of the independent variables are different; determining the target parameter value of the independent variable from the multiple parameter values ​​of the independent variable based on the fire extinguishing effect evaluation results of the multiple fire extinguishing simulation experiments; updating the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system until the target parameter values ​​of each variable in the nozzle configuration parameters are determined, thereby obtaining the target nozzle configuration parameters for the fine water mist fire extinguishing system for the first slope parameter.

[0007] According to embodiments of this disclosure, the fire extinguishing effect evaluation result is determined as follows: for any fire extinguishing simulation experiment, based on the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system, the water mist distribution parameters of the fine water mist fire extinguishing system are determined; the fire extinguishing simulation of the fire of the cable under the influence of smoke diffusion is performed on the water mist distribution parameters for a predetermined period of time, and the first temperature at at least one first target location of the cable tunnel and the second temperature at at least one second target location of the cable are determined after the predetermined period of time; based on the first temperature and the second temperature, the fire extinguishing effect evaluation result is obtained.

[0008] According to embodiments of this disclosure, the variables include at least one of the following: the spray intensity of the water mist nozzle, the nozzle pressure of the water mist nozzle, and the spacing between a plurality of water mist nozzles.

[0009] According to embodiments of this disclosure, the ignition condition parameters include ignition source parameters, ignition location parameters of the cable, ignition temperature parameters, and heat release rate parameters. Based on the simulation physical model and the ignition condition parameters, the cable is simulated to burn in a cable tunnel, and the diffusion path of the smoke generated by the combustion is determined, including: determining the target ignition location of the cable in the simulation physical model based on the ignition location parameters; determining the combustion diffusion rate based on the ignition source parameters, ignition temperature parameters, and heat release rate parameters; and simulating the cable burning in a cable tunnel based on the target ignition location of the cable, the combustion diffusion rate, and the simulation physical model to determine the diffusion path of the smoke generated by the combustion.

[0010] According to embodiments of this disclosure, based on the target ignition location, combustion diffusion rate, and simulation physical model of the cable, the combustion of the cable in a cable tunnel is simulated to determine the diffusion path of the smoke generated by the combustion. This includes: based on the target ignition location, combustion diffusion rate, and simulation physical model of the cable, simulating the combustion of the cable in the cable tunnel in the simulation physical model with the target ignition location of the cable as the combustion starting point, and determining the combustion state parameters of the cable at each time; and determining the diffusion path of the smoke based on the combustion state parameters of the cable at each time and the simulation physical model.

[0011] According to embodiments of this disclosure, the tunnel attribute parameters further include preset boundary condition parameters, and the simulation physical model is a simulation physical model with the preset boundary condition parameters added; the diffusion path of the flue gas is determined based on the combustion state parameters of the cable at various times and the simulation physical model, including: dividing the spatial region determined by the simulation physical model into spatial grids to obtain multiple spatial grids; and simulating and calculating the motion parameters of the flue gas at various times in the multiple spatial grids based on the preset boundary condition parameters and the combustion state parameters at various times to obtain the diffusion path of the flue gas.

[0012] According to embodiments of this disclosure, the spatial region determined by the simulation physical model is divided into multiple spatial grids, including: determining the characteristic diameter of the fire source based on fire source parameters; using the characteristic diameter of the fire source as the initial division size of the spatial grid to perform initial grid division of the spatial region to obtain multiple initial spatial grids; performing secondary refinement grid division on the multiple initial spatial grids of the first region of the spatial region to obtain multiple refined spatial grids, wherein the first region is a preset range region of the target ignition location of the cable; and obtaining multiple spatial grids based on the multiple refined spatial grids of the first region and the multiple initial spatial grids of the second region, wherein the second region is the region of the spatial region excluding the first region.

[0013] According to embodiments of this disclosure, the method further includes: adjusting a first slope parameter of the cable tunnel to a second slope parameter to obtain updated tunnel attribute parameters; constructing an updated simulation physical model of the cable tunnel based on the updated tunnel attribute parameters and cable configuration parameters of the cable; and determining the target nozzle configuration parameters of the fine water mist fire extinguishing system for the second slope parameter based on the updated simulation physical model.

[0014] Another method disclosed herein provides a device for determining parameters of a fine water mist fire extinguishing system in a cable tunnel of a pumped storage power station. The device comprises: a construction module for constructing a simulation physical model based on tunnel attribute parameters and cable configuration parameters within the cable tunnel, the tunnel attribute parameters including a first slope parameter of the cable tunnel; a simulation module for simulating cable combustion in the cable tunnel based on the simulation physical model and ignition condition parameters, determining the diffusion path of the smoke generated by combustion, the smoke diffusion path being associated with the first slope parameter; and a determination module for determining the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, wherein the fire extinguishing simulation experiments determine the parameters based on the smoke diffusion path and the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system.

[0015] Another aspect of this disclosure provides an electronic device including: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the methods described above.

[0016] According to embodiments of this disclosure, by constructing a simulated physical model of a cable tunnel including slope parameters, the diffusion path of smoke after cable combustion under the influence of slope is simulated. Based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters for tunnels with specific slopes are determined. Since the influence of tunnel slope on the diffusion characteristics of fire smoke is considered, the configuration parameters of the fine water mist fire extinguishing system can be optimized while ensuring the fire extinguishing effect. This ensures that the fine water mist fire extinguishing system can achieve rapid fire extinguishing for the fire characteristics of high-drop tunnels, significantly improving the fire extinguishing effect. Attached Figure Description

[0017] 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:

[0018] Figure 1 A flowchart illustrating a method for determining parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel according to an embodiment of the present disclosure is shown.

[0019] Figure 2 A schematic diagram of the geometric model of a simulation physics model according to an embodiment of the present disclosure is shown.

[0020] Figure 3 The diagram illustrates the change of heat release rate over time under different tunnel slopes according to embodiments of the present disclosure, where (a), (b), (c), and (d) correspond to tunnel slopes of 0°, 15°, 30°, and 45°, respectively.

[0021] Figure 4 A block diagram illustrating a device for determining parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel according to an embodiment of the present disclosure is shown.

[0022] Figure 5 A block diagram of an electronic device suitable for implementing the methods described above, according to embodiments of the present disclosure, is illustrated schematically. Detailed Implementation

[0023] 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.

[0024] 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 features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0025] 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.

[0026] 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.).

[0027] Figure 1 The flowchart illustrates a method for determining parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel according to an embodiment of the present disclosure.

[0028] like Figure 1 As shown, the method includes operations S110~S130.

[0029] In operation S110, a simulation physical model is constructed based on the tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable in the cable tunnel. The tunnel attribute parameters include the first slope parameter of the cable tunnel.

[0030] In operation S120, based on the simulation physical model and ignition condition parameters, the burning of the cable in the cable tunnel is simulated to determine the diffusion path of the smoke generated by the combustion. The diffusion path of the smoke is associated with the first slope parameter.

[0031] In operation S130, based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter are determined. The fire extinguishing simulation experiments determine the variable values ​​of each variable in the smoke diffusion path and the nozzle configuration parameters of the fine water mist fire extinguishing system.

[0032] In the embodiments of this disclosure, the cable tunnel can be a high-drop cable tunnel for a pumped storage power station. This disclosure is not limited to this, and it can also be other scenarios with high-drop cable tunnels.

[0033] For example, tunnel attribute parameters may include tunnel geometric dimensions such as tunnel length, width, height, and slope; tunnel cross-sectional shape such as rectangular, arched, or circular; and parameters such as tunnel wall material, ventilation conditions, and ambient temperature. The first slope parameter may be any slope within the range of 0° to 45°.

[0034] Tunnel attribute parameters can also include preset boundary condition parameters, such as the inlet boundary defining parameters such as air velocity, temperature, and pressure at the tunnel entrance, the outlet boundary defining pressure or static pressure at the tunnel exit, and the wall boundary simulating heat exchange processes such as heat conduction, convection, and radiation on the tunnel wall.

[0035] Cable configuration parameters refer to the layout and physical characteristics of cables within a tunnel, specifically including cable type and specifications, cable laying location, quantity, spacing, and laying method. Ignition condition parameters refer to the initial conditions that trigger cable combustion, including ignition source parameters and cable combustion parameters.

[0036] The simulation physical model can include a geometric model and a physical model. The geometric model can be constructed using 3D modeling tools or relevant simulation software, creating a 3D geometric model that includes the tunnel body and the cable. The physical model can include a combustion model, a turbulence model, and a multiphase flow model. The combustion model simulates the combustion and heat release of the cable, the turbulence model simulates the turbulent characteristics of the flue gas flow, and the multiphase flow model simulates the interaction between the fine water mist and the flue gas.

[0037] For example, the combustion model can employ a single-stage mixing control chemical reaction model to simulate the combustion of cables in a cable tunnel within a simulated physical model. The single-stage mixing control chemical reaction model assumes that the combustion rate is determined by the mixing rate of fuel and oxygen, simplifying the multi-step reaction into a single-step model: fuel + air → products. The turbulence model can employ large eddy mode to simulate the changing flow path of flue gas under the first gradient parameter.

[0038] The fine water mist produced by the fine water mist fire suppression system has a very large specific surface area. When the droplets come into contact with the flame, they can absorb a large amount of heat, thereby rapidly reducing the flame temperature and inhibiting the continued combustion reaction. Simultaneously, the water vapor produced by the evaporation of the droplets occupies space in the combustion zone, reducing the oxygen concentration and creating a suffocation effect that further blocks combustion. Furthermore, the high-pressure fine water mist droplets have strong penetrating power, making them suitable for the complex internal environment of cable tunnels, thus enabling effective fire suppression. This characteristic gives it an irreplaceable advantage in cable tunnel fires. To effectively utilize the fine water mist fire suppression system in cable tunnels, embodiments of this disclosure include multiple fire suppression simulation experiments with different configuration parameters of the fine water mist fire suppression system, and the target nozzle configuration parameters are determined based on the fire suppression effects of the simulation experiments.

[0039] In embodiments of this disclosure, the fine water mist fire suppression system may include multiple high-pressure fine water mist nozzles. These nozzles can be used in an open system with a total flooding application method, or as a pump system, to meet the fire suppression coverage requirements of long, narrow, enclosed tunnels with significant elevation differences. The high-pressure fine water mist nozzles can be positioned at the top of the cable tunnel and perpendicular to the bottom surface of the tunnel, thereby counteracting the water mist settling offset caused by the first slope parameter.

[0040] Nozzle configuration parameters can include multiple variables, and different variable values ​​can result in different distributions of water mist droplets. The water mist droplets ejected by a high-pressure fine water mist nozzle can interact with high-temperature smoke or flames, extinguishing fires through mechanisms such as cooling, suffocation, and dilution. By setting different variable values ​​to create different distributions of water mist droplets and their interaction with smoke, multiple fire extinguishing simulation experiments are conducted.

[0041] For example, the multiphase flow model can use the Eulerian-Lagrange method to model the two-phase flow of flue gas and fine water mist, simulate the trajectory of water mist droplets, the evaporation process, and the momentum, mass and energy exchange process with flue gas, thereby simulating the fire extinguishing process.

[0042] The Eulerian-Lagrange method treats the gas phase (such as flue gas) as a continuous medium and solves its continuity, momentum, and energy equations on a fixed spatial grid using the Eulerian method to obtain macroscopic field quantities such as velocity, pressure, and temperature of the gas phase fluid. Simultaneously, the discrete phase (such as fine water droplets) is treated as independent particles, and the Lagrange method is used to track the trajectory of each particle and calculate the changes in its position, velocity, and temperature over time.

[0043] By evaluating the fire extinguishing effects of multiple fire extinguishing simulation experiments, the nozzle configuration parameters with the best fire extinguishing effect can be selected as the target nozzle configuration parameters for the fine water mist fire extinguishing system.

[0044] According to embodiments of this disclosure, by constructing a simulated physical model of a cable tunnel including slope parameters, the diffusion path of smoke after cable combustion under the influence of slope is simulated. Based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters for tunnels with specific slopes are determined. Since the influence of tunnel slope on the diffusion characteristics of fire smoke is considered, the configuration parameters of the fine water mist fire extinguishing system can be optimized while ensuring the fire extinguishing effect. This ensures that the fine water mist fire extinguishing system can achieve rapid fire extinguishing for the fire characteristics of high-drop tunnels, significantly improving the fire extinguishing effect.

[0045] According to embodiments of this disclosure, the ignition condition parameters include ignition source parameters, cable ignition location parameters, ignition temperature parameters, and heat release rate parameters. Based on the simulation physical model and the ignition condition parameters, simulating cable combustion in a cable tunnel and determining the diffusion path of the smoke generated by combustion may include: determining the target ignition location of the cable in the simulation physical model based on the ignition location parameters; determining the combustion diffusion rate based on the ignition source parameters, ignition temperature parameters, and heat release rate parameters; and simulating cable combustion in a cable tunnel based on the target ignition location of the cable, the combustion diffusion rate, and the simulation physical model to determine the diffusion path of the smoke generated by combustion.

[0046] Fire source parameters include the type of fire source, the size of the fire source, and the intensity of the fire source.

[0047] For example, the ignition location parameters of the cable can be determined based on the location least favorable for fire suppression by the fine water mist fire extinguishing system. For instance, the ignition location parameters can be determined based on the cable position corresponding to the midpoint between two water mist nozzles.

[0048] Ignition temperature parameters and heat release rate parameters can be determined through radiation combustion tests. For example, a small-sized sample made of the same material as the actual high-voltage cable can be selected, and the appropriate cable heat release rate parameters and ignition temperature parameters can be determined through radiation combustion tests.

[0049] For example, the diffusion rate of a cable burning inside a cable tunnel can be obtained by using pre-set ignition source parameters, ignition temperature parameters, and heat release rate parameters, through a set combustion model and algorithm.

[0050] Based on the target ignition location and combustion diffusion rate, the motion trajectory of the flue gas in the cable tunnel is tracked through iterative calculation and simulation using a set turbulence model in the virtual cable tunnel environment constructed by the simulation physical model, thereby determining the diffusion path of the flue gas generated by combustion in the cable tunnel.

[0051] According to embodiments of this disclosure, simulating cable combustion in a cable tunnel based on the target ignition location, combustion diffusion rate, and simulation physical model, and determining the diffusion path of the smoke generated by combustion may include: simulating cable combustion in a cable tunnel in the simulation physical model with the target ignition location of the cable as the combustion starting point, based on the target ignition location of the cable, combustion diffusion rate, and simulation physical model, and determining the combustion state parameters of the cable at each time point; and determining the diffusion path of the smoke based on the combustion state parameters of the cable at each time point and the simulation physical model.

[0052] For example, the combustion process can be divided into certain time intervals. Within each time step, the combustion state parameters of the cable at that time step are calculated based on the physical and chemical laws of combustion. These combustion state parameters can include parameters such as the size of the combustion zone, the temperature of the flame, and the heat generated by combustion. As time progresses, the combustion state parameters of the cable at each moment can be obtained, thus providing a complete description of the dynamic process of the cable from ignition to the gradual spread of combustion.

[0053] Based on the combustion state parameters of the cable at various times, the amount, composition, and temperature of the flue gas produced by the cable combustion at each moment can be further determined. Combining the boundary condition parameters of the cable tunnel set in the simulation physical model, the diffusion process of the flue gas within the cable tunnel is simulated based on a turbulence model. Through continuous iterative calculations, the position and distribution of the flue gas at various times are tracked, and the diffusion path of the flue gas within the simulation time range is determined.

[0054] By taking the target ignition location of the cable as the starting point of combustion, combining the combustion diffusion rate with the simulation physical model to simulate the cable burning in the cable tunnel and determine the combustion state parameters at each moment, and then determining the smoke diffusion path based on these parameters and the simulation physical model, the actual situation of the cable fire from the beginning to the development of the entire process can be accurately presented.

[0055] According to embodiments of this disclosure, the tunnel attribute parameters further include preset boundary condition parameters, and the simulation physical model is a simulation physical model with preset boundary condition parameters added. Determining the flue gas diffusion path based on the cable's combustion state parameters at various times and the simulation physical model may include: dividing the spatial region determined by the simulation physical model into multiple spatial grids; and simulating and calculating the motion parameters of the flue gas at various times in the multiple spatial grids based on the preset boundary condition parameters and the combustion state parameters at various times to obtain the flue gas diffusion path.

[0056] By meshing the cable tunnel, the complex continuous problem can be transformed into a discrete problem that can be solved on each grid cell, thus facilitating numerical simulation. At the initial moment of the simulation, initial motion parameters of the flue gas, such as velocity, temperature, pressure, and density, can be set for each spatial grid.

[0057] For areas far from fire sources, the smoke velocity can be set to zero or near zero, the temperature to ambient temperature, the pressure to standard atmospheric pressure, and the density to be calculated based on the ideal gas law.

[0058] For the grid near the fire source, the initial rise velocity and temperature of the flue gas are estimated based on combustion state parameters such as heat release rate and flame temperature. The initial temperature of the flue gas can be set based on the flame temperature.

[0059] Within each time step, the motion parameters of the flue gas in each spatial grid are updated using a pre-defined turbulence model based on preset boundary condition parameters and the combustion state parameters at the current moment. The dynamic changes of the flue gas over time are simulated by continuously updating the parameters until the simulation time reaches the preset total simulation time or other termination conditions are met.

[0060] By comprehensively considering preset boundary condition parameters and combustion state parameters at various times, the actual environmental conditions and combustion process within cable tunnels can be more realistically reflected. The spatial grid division allows for more accurate simulation of smoke movement parameters, thereby enabling precise prediction of smoke diffusion paths and providing reliable data support for fire simulation.

[0061] According to embodiments of this disclosure, spatial meshing is performed on the spatial region determined by the simulation physical model. Obtaining multiple spatial meshes in the spatial region determined by the simulation model may include: determining the characteristic diameter of the fire source based on fire source parameters; performing initial meshing of the spatial region using the characteristic diameter of the fire source as the initial meshing size to obtain multiple initial spatial meshes; performing secondary densification meshing on the multiple initial spatial meshes of the first region of the spatial region to obtain multiple densified spatial meshes, wherein the first region is a preset range region of the target ignition location of the cable; and obtaining multiple spatial meshes based on the multiple densified spatial meshes of the first region and the multiple initial spatial meshes of the second region, wherein the second region is the region of the spatial region excluding the first region.

[0062] The spatial region includes the entire three-dimensional space or two-dimensional plane space where the cable tunnel is located, including the space occupied by the cable, the cable tunnel structure, and other related objects.

[0063] For example, the characteristic diameter of the fire source can be obtained by the following formula:

[0064]

[0065] Where D is the characteristic diameter of the fire source. It is air density. It is the specific heat capacity of air. Where g is the ambient air temperature, Q is the gravitational acceleration, and Q is the power of the fire source.

[0066] The initial mesh generation rules are defined using the characteristic diameter of the fire source as the initial dividing size. For example, square or circular initial mesh units can be created around the fire source, using the characteristic diameter of the fire source as the side length or diameter. For three-dimensional spatial regions, cube or sphere initial mesh units can be created, using the characteristic diameter of the fire source as the edge length or diameter.

[0067] Using the characteristic diameter of the fire source as a basis for grid division can ensure a more suitable grid density in the vicinity of the fire source, and can more accurately describe the physical phenomena near the fire source, such as changes in temperature and airflow.

[0068] By refining the mesh in the first region, the number and density of meshes at the target ignition location of the cable can be increased. This improves the accuracy of the simulation, allowing for a more accurate simulation of subtle changes in physical quantities such as temperature, pressure, and airflow velocity within the first region, thus more realistically reflecting the propagation and development of combustion in that area.

[0069] According to embodiments of this disclosure, the variables include independent variables and control variables. Determining the target nozzle configuration parameters for the fine water mist fire extinguishing system for the first slope parameter based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments may include: determining multiple fire extinguishing simulation experiments based on the smoke diffusion path and the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system, wherein the parameter values ​​of the control variables in the multiple fire extinguishing simulation experiments are the same, and the parameter values ​​of the independent variables are different; determining the target parameter value of the independent variable from the multiple parameter values ​​of the independent variable based on the fire extinguishing effect evaluation results of the multiple fire extinguishing simulation experiments; updating the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system until the target parameter values ​​of each variable in the nozzle configuration parameters are determined, thereby obtaining the target nozzle configuration parameters for the fine water mist fire extinguishing system for the first slope parameter.

[0070] For example, the nozzle configuration parameters of a fine water mist fire extinguishing system may include multiple variables. One of these variables can be used as the independent variable, and the remaining parameters as control variables. A single-variable method can be employed, where each fire extinguishing simulation experiment updates only the parameter value of the current independent variable, while keeping the control variables unchanged. If the fire extinguishing effect evaluation result of the fire extinguishing simulation experiment meets the predetermined effect conditions, the parameter value corresponding to the independent variable in that fire extinguishing simulation experiment can be used as the target parameter value. Alternatively, if the target parameter value of the independent variable is determined, the independent variable with the determined target parameter value can be used as the control variable, and one of the control variables can be used as the independent variable. Repeating the fire extinguishing simulation experiment multiple times will determine the target parameter value for each variable.

[0071] For example, the variables include the spray intensity of the water mist nozzle, the nozzle pressure of the water mist nozzle, and the spacing between multiple water mist nozzles.

[0072] The spray intensity can be determined by the following formula: W=nq / S

[0073] In the formula, n is the calculated number of fine water mist nozzles, S is the protected area, W is the design spray intensity, and q is the flow rate of a single nozzle.

[0074] The nozzle pressure can be determined by the following formula: q=K

[0075] In the formula, q is the nozzle flow rate, K is the nozzle flow rate coefficient, and p is the nozzle pressure.

[0076] The target spray intensity, target nozzle pressure, and target spacing between multiple water mist nozzles can be determined through multiple fire extinguishing simulation experiments. The target spray intensity, target nozzle pressure, and target spacing between multiple water mist nozzles are then used as the target nozzle parameters.

[0077] According to embodiments of this disclosure, by controlling the parameter values ​​of the independent variables and conducting multiple fire extinguishing simulation experiments, the influence of a single variable on the fire extinguishing effect of a fine water mist system in a high-drop cable tunnel can be analyzed, and the sensitivity differences of each variable in a high-drop scenario can be clarified.

[0078] According to embodiments of this disclosure, the fire extinguishing effect evaluation result is determined as follows: for any fire extinguishing simulation experiment, based on the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system, the water mist distribution parameters of the fine water mist fire extinguishing system are determined; the fire extinguishing simulation of the fire of the cable under the influence of smoke diffusion is performed on the water mist distribution parameters for a predetermined period of time, and the first temperature at at least one first target location of the cable tunnel and the second temperature at at least one second target location of the cable are determined after the predetermined period of time; based on the first temperature and the second temperature, the fire extinguishing effect evaluation result is obtained.

[0079] Water mist distribution parameters can include parameters such as water mist particle size, concentration, and velocity. These parameters can be exchanged with flue gas diffusion parameters, and a coupled equation can be established using the Eulerian-Lagrange method to describe the joint distribution and changes of flue gas and water mist in space, thereby achieving fire suppression simulation.

[0080] The first target location can be a location near the tunnel ceiling. The second target location can be a location near the burning surface of the cable. Temperatures can be obtained at multiple locations on the tunnel ceiling and at multiple locations on the cable, and the fire extinguishing effect can be evaluated based on these multiple temperatures.

[0081] According to embodiments of this disclosure, after determining the target nozzle configuration parameters for the fine water mist fire extinguishing system for the first slope parameter, the method may further include: adjusting the first slope parameter of the cable tunnel to a second slope parameter to obtain updated tunnel attribute parameters; constructing an updated simulation physical model of the cable tunnel based on the updated tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable; and determining the target nozzle configuration parameters for the fine water mist fire extinguishing system for the second slope parameter based on the updated simulation physical model.

[0082] For example, after determining the target nozzle parameters corresponding to the first slope parameter, the first slope parameter can be adjusted to multiple different slopes, and operations S110~S130 can be performed to obtain the target nozzle parameters for each slope parameter. Based on the target nozzle parameters with different slope parameters, the influence of slope on nozzle configuration parameters can be determined.

[0083] The solution of this application will be further described below with reference to specific embodiments.

[0084] Figure 2 A schematic diagram of the geometric model of a simulation physical model according to an embodiment of the present disclosure is shown.

[0085] like Figure 2 As shown, the cable tunnel in this geometric model has dimensions of 100m×4m×4m, and the slope can be adjusted from 0° to 45°. A fireproof zone is 60m long, and the cable size is 100m×0.15m×0.15m. A total of 9 cables are arranged on both sides of the tunnel, and the vertical spacing of each layer of cables is 0.15m.

[0086] Based on this geometric model, a corresponding physical model was established. The flow field variation under high elevation differences was obtained using a turbulence model employing large eddy simulation. A single-stage mixing-controlled chemical reaction model was used to simulate the combustion intensity variation caused by differences in oxygen supply under high slopes. The simulation physical model was then derived based on the geometric and physical models.

[0087] To ignite the cable, a heat release rate of 1 MW was placed in the middle of the cable as the ignition source parameter. Boundary condition parameters included: the tunnel material was concrete with a density of 2280 kW / m³ and a specific heat of 0.46 kJ / (kg·K). The cable material was cross-linked polyethylene (XLPE) with an ignition point of 256.0℃, a thickness of 0.005 m, a density of 922.0 kg / m³, a calorific value of 43.28 kJ / g, a thermal conductivity of 0.32 W / (m·K), and a specific heat capacity of 2.25 kJ / (kg·K). The ambient temperature was 293 K, and the ambient pressure was 101.32 kPa.

[0088] The peak power of the fire source is 1MW. After calculating the characteristic diameter of the fire source, the size of the spatial grid is between 0.06m and 0.24m. Considering the computational resources, and given that the fire source area is a key area, a local densification method is adopted. The size of the spatial grid within 10m to the left and right of the fire source is set to 0.1m, and the size of the spatial grid in the remaining area is 0.2m.

[0089] Small-sized cables with the same materials as the high-voltage cables in the pumped storage power station cable tunnel were selected. Low-smoke halogen-free flame-retardant cross-linked polyethylene insulation and polyethylene sheath were used. Radiation combustion tests were conducted using a cone calorimeter. The combustion behavior of the cable in a fire was evaluated by measuring the material combustion characteristic parameters. The heat release rate, ignition time, ignition temperature and other parameters under different radiation heat flow conditions were compared. 200.00 kW / m2 was determined as the heat release rate parameter of the cable material in the simulation, and 256.00℃ was determined as the ignition temperature parameter of the cable material in the simulation.

[0090] A fully submerged open fine water mist system is adopted, with nozzles set at the center of the tunnel ceiling at intervals of 1m, 2m, and 3m. The spray intensity is 2L / min*m2, 4L / min*m2, and 6L / min*m2, respectively, with nozzle pressures of 10MPa, 20MPa, and 30MPa, a flow coefficient of 2.5, and a droplet size of 200μm.

[0091] The above parameters were loaded into the simulation physics model to conduct combustion simulation and fire extinguishing simulation experiments.

[0092] Figure 3 The diagram illustrates the change of heat release rate over time under different tunnel slopes according to embodiments of the present disclosure, where (a), (b), (c), and (d) correspond to tunnel slopes of 0°, 15°, 30°, and 45°, respectively.

[0093] like Figure 3 As shown, the simulation period from 0 to 400 seconds represents the cable combustion, and the simulation period from 400 to 1500 seconds represents the fire extinguishing. Based on the differences in (a), (b), (c), and (d) during the combustion simulation phases, it can be seen that as the tunnel slope increases, the fire spreads faster and the peak heat release rate rises. Based on the differences in (a), (b), (c), and (d) during the fire extinguishing simulation phases, it can be seen that as the slope increases, the rate of decrease in the heat release rate slows down and the fluctuation gradually increases, indicating that the fire extinguishing effect of the fine water mist fire extinguishing system varies under different slopes; the steeper the slope, the lower the fire extinguishing efficiency.

[0094] Temperatures at various measuring points below the ceiling and near the cable surface can be used as criteria. Specific evaluation standards could be: after the fire-extinguishing water mist system has been in operation for 5 minutes, the average temperature at each measuring point within 5 seconds should not exceed 100℃, and there should be no reignition after the fire is extinguished.

[0095] Table 1 shows the simulated fire extinguishing effects under different slope parameters and different nozzle configuration parameters:

[0096]

[0097] As shown in Table 1, when the tunnel slope is 0°, the optimal parameter configuration is 2m spacing, 2L / min·m² spray intensity, 1m spacing, and 20MPa nozzle pressure; when the tunnel slope is 15°, the optimal parameter configuration is 1m spacing, 4L / min·m² spray intensity, 3m spacing, and 10MPa nozzle pressure; when the tunnel slope is 30°, the optimal parameter configuration is 3m spacing, 2L / min·m² spray intensity, 3m spacing, and 10MPa nozzle pressure; and when the tunnel slope is 45°, the optimal parameter configuration is 3m spacing, 2L / min·m² spray intensity, 3m spacing, and 10MPa nozzle pressure.

[0098] According to the embodiments of this disclosure, the fire extinguishing effect under different fine water mist fire extinguishing system configuration parameters is analyzed, and the fine water mist parameter configuration scheme applicable to different slopes of high-drop cable tunnels is determined. This avoids misjudgment of the fire extinguishing effect when designing fine water mist systems in high-drop cable tunnels with different slopes, resulting in problems such as failure to achieve the fire extinguishing effect or excessive parameter configuration.

[0099] Figure 4A block diagram illustrating a device for determining parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel according to an embodiment of the present disclosure is shown.

[0100] like Figure 4 As shown, the device includes a construction module 410, a simulation module 420, and a determination module 430.

[0101] Module 410 is used to build a simulation physical model based on the tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable in the cable tunnel. The tunnel attribute parameters include the first slope parameter of the cable tunnel.

[0102] The simulation module 420 is used to simulate the burning of a cable in a cable tunnel based on a simulation physical model and ignition condition parameters, and to determine the diffusion path of the smoke generated by the combustion. The diffusion path of the smoke is associated with the first slope parameter.

[0103] The determination module 430 is used to determine the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments. The fire extinguishing simulation experiments determine the variable values ​​of each variable in the smoke diffusion path and the nozzle configuration parameters of the fine water mist fire extinguishing system.

[0104] According to embodiments of this disclosure, the variables include independent variables and control variables. The determining module includes:

[0105] The first determination submodule is used to determine multiple fire extinguishing simulation experiments based on the independent and control variables in the smoke diffusion path and the nozzle configuration parameters of the fine water mist fire extinguishing system. In these multiple fire extinguishing simulation experiments, the parameter values ​​of the control variables are the same, while the parameter values ​​of the independent variables are different.

[0106] The second determination submodule is used to determine the target parameter value of the independent variable from multiple parameter values ​​of the independent variable based on the evaluation results of the fire extinguishing effect of multiple fire extinguishing simulation experiments.

[0107] The update submodule is used to update the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system until the target parameter values ​​of each variable in the nozzle configuration parameters are determined, so as to obtain the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter.

[0108] According to embodiments of this disclosure, the fire extinguishing effect evaluation result is determined through the following modules:

[0109] The third determination submodule is used to determine the water mist distribution parameters of the fine water mist fire extinguishing system based on the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system for any fire extinguishing simulation experiment.

[0110] The fourth determination submodule is used to simulate the fire extinguishing effect of water mist distribution parameters on cable combustion under the influence of smoke diffusion for a predetermined period of time, and to determine the first temperature at at least one first target location of the cable tunnel and the second temperature at at least one second target location of the cable after the predetermined period of time.

[0111] The fifth determination submodule is used to obtain the fire extinguishing effect evaluation result based on the first temperature and the second temperature.

[0112] According to embodiments of this disclosure, the variables include at least one of the following: the spray intensity of the water mist nozzle, the nozzle pressure of the water mist nozzle, and the spacing between a plurality of water mist nozzles.

[0113] According to embodiments of this disclosure, the ignition condition parameters include ignition source parameters, cable ignition location parameters, ignition temperature parameters, and heat release rate parameters. The simulation module includes:

[0114] The sixth determination submodule is used to determine the target ignition location of the cable in the simulation physical model based on the ignition location parameters, and to determine the combustion diffusion rate based on the fire source parameters, ignition temperature parameters, and heat release rate parameters.

[0115] The seventh determination submodule is used to simulate the burning of the cable in the cable tunnel based on the target ignition location, combustion diffusion rate, and simulation physical model of the cable, and to determine the diffusion path of the smoke generated by the combustion.

[0116] According to embodiments of this disclosure, the seventh determining submodule includes:

[0117] The first determining unit is used to simulate the combustion of the cable in the cable tunnel in the simulation physical model based on the target ignition location of the cable, the combustion diffusion rate, and the simulation physical model, with the target ignition location of the cable as the combustion starting point, and to determine the combustion state parameters of the cable at each time.

[0118] The second determining unit is used to determine the diffusion path of flue gas based on the combustion state parameters of the cable at various times and the simulation physical model.

[0119] According to embodiments of this disclosure, the tunnel attribute parameters further include preset boundary condition parameters, and the simulation physical model is a simulation physical model with the preset boundary condition parameters added. The second determining unit includes:

[0120] The partitioning unit is used to divide the spatial region determined by the simulation physical model into spatial grids, resulting in multiple spatial grids.

[0121] The calculation unit is used to simulate and calculate the motion parameters of the flue gas at various times in multiple spatial grids based on preset boundary condition parameters and combustion state parameters at various times, so as to obtain the diffusion path of the flue gas.

[0122] According to embodiments of this disclosure, the partitioning unit includes:

[0123] The first sub-unit is used to determine the characteristic diameter of the fire source based on the fire source parameters; the characteristic diameter of the fire source is used as the initial division size of the spatial grid to perform the initial grid division of the spatial region, resulting in multiple initial spatial grids.

[0124] The second sub-unit is used to perform secondary densification of multiple initial spatial grids in the first region of the spatial area to obtain multiple densified spatial grids. The first region is the preset range area of ​​the target ignition location of the cable.

[0125] Determine sub-units to obtain multiple spatial grids based on multiple encrypted spatial grids in the first region and multiple initial spatial grids in the second region, wherein the second region is the region of the spatial region other than the first region.

[0126] According to embodiments of this disclosure, the device further includes:

[0127] The adjustment module is used to adjust the first slope parameter of the cable tunnel to the second slope parameter, thereby obtaining updated tunnel attribute parameters.

[0128] The model update module is used to construct an updated simulation physical model of the cable tunnel based on the updated tunnel attribute parameters and cable configuration parameters of the cable tunnel.

[0129] The parameter determination module is used to determine the target nozzle configuration parameters for the fine water mist fire extinguishing system based on the updated simulation physical model, for the second slope parameter.

[0130] Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure, or at least part of the functions of any one or more of them, can be implemented in one module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be implemented by dividing them into multiple modules. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure 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-Chip, a System-on-a-Substrate, a System-on-Package, an Application-Specific Integrated Circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as computer program modules, which, when run, can perform corresponding functions.

[0131] For example, any plurality of the construction module 410, simulation module 420, and determination module 430 may be combined into one module / unit / subunit, or any one of these modules / units / subunits may be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits may be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of the present disclosure, at least one of the construction module 410, simulation module 420, and determination module 430 may 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 circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, at least one of the construction module 410, simulation module 420, and determination module 430 may be implemented at least partially as a computer program module that can perform corresponding functions when the computer program module is run.

[0132] Figure 5 A block diagram of an electronic device suitable for implementing the methods described above, according to embodiments of the present disclosure, is illustrated schematically. Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0133] like Figure 5 As shown, an electronic device 500 according to an embodiment of this disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage portion 508 into a random access memory (RAM) 503. The processor 501 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 501 may also include onboard memory for caching purposes. The processor 501 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.

[0134] RAM 503 stores various programs and data required for the operation of electronic device 500. Processor 501, ROM 502, and RAM 503 are interconnected via bus 504. Processor 501 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 502 and / or RAM 503. It should be noted that programs may also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in one or more memories.

[0135] According to embodiments of this disclosure, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to a bus 504. The system 500 may also include one or more of the following components connected to the input / output (I / O) interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 510 as needed so that computer programs read from it can be installed into the storage section 508 as needed.

[0136] According to embodiments of this disclosure, the method flow according to embodiments of this disclosure can be implemented as a computer software program. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by processor 501, it performs the functions defined in the system of embodiments of this disclosure. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0137] 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.

[0138] According to embodiments of this disclosure, the computer-readable storage medium can be a non-volatile computer-readable storage medium. Examples include, but are 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 can 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.

[0139] For example, according to embodiments of this disclosure, a computer-readable storage medium may include the ROM 502 and / or RAM 503 described above and / or one or more memories other than ROM 502 and RAM 503.

[0140] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods provided in the embodiments of this disclosure. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the methods provided in the embodiments of this disclosure.

[0141] When the computer program is executed by the processor 501, it performs the functions defined in the system / apparatus of this disclosure. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0142] 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 may be downloaded and installed via the communication section 509, and / or installed from a removable medium 511. 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.

[0143] 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).

[0144] 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 the present 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. Those skilled in the art will understand that the features recited in the various embodiments and / or claims of this disclosure can be combined and / or combined in various ways, even if such combinations or combinations are not expressly described in this disclosure. In particular, the features described in the various embodiments and / or claims of this disclosure may 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.

[0145] 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. The scope of this disclosure is defined by the appended claims and their equivalents. 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 parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel, characterized in that, The method includes: A simulation physical model is constructed based on the tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable in the cable tunnel. The tunnel attribute parameters include the first slope parameter of the cable tunnel. Based on the simulation physical model and ignition condition parameters, the burning of the cable in the cable tunnel is simulated to determine the diffusion path of the smoke generated by the combustion. The diffusion path of the smoke is associated with the first slope parameter. Based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters for the fine water mist fire extinguishing system with respect to the first slope parameter are determined. The fire extinguishing simulation experiments are based on the diffusion path of the smoke and the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system.

2. The method according to claim 1, characterized in that, The variables include independent variables and control variables; Based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments, the target nozzle configuration parameters for the fine water mist fire extinguishing system with respect to the first slope parameter are determined, including: Based on the diffusion path of the smoke and the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system, multiple fire extinguishing simulation experiments are determined, wherein the parameter values ​​of the control variables in the multiple fire extinguishing simulation experiments are the same, and the parameter values ​​of the independent variables are different. Based on the fire extinguishing effect evaluation results of each of the multiple fire extinguishing simulation experiments, the target parameter value of the independent variable is determined from the multiple parameter values ​​of the independent variable; Update the independent and control variables in the nozzle configuration parameters of the fine water mist fire extinguishing system until the target parameter values ​​of each variable in the nozzle configuration parameters are determined, thereby obtaining the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter.

3. The method according to claim 2, characterized in that, The fire extinguishing effectiveness assessment results were determined in the following manner: For any of the aforementioned fire extinguishing simulation experiments, based on the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system, the water mist distribution parameters of the water mist sprayed by the fine water mist fire extinguishing system are determined. The fire extinguishing simulation of the cable combustion under the influence of the water mist distribution parameters under the influence of the smoke diffusion is carried out for a predetermined period of time, and the first temperature at at least one first target location of the cable tunnel and the second temperature at at least one second target location of the cable are determined after the predetermined period of time. The fire extinguishing effect evaluation result is obtained based on the first temperature and the second temperature.

4. The method according to claim 2, characterized in that, The variables include at least one of the following: the spray intensity of the water mist nozzle, the nozzle pressure of the water mist nozzle, and the spacing between the plurality of water mist nozzles.

5. The method according to claim 1, characterized in that, The ignition condition parameters include the fire source parameters, the ignition location parameters of the cable, the ignition temperature parameters, and the heat release rate parameters. The process of simulating the combustion of the cable in the cable tunnel based on the simulation physical model and ignition condition parameters, and determining the diffusion path of the smoke generated by the combustion, includes: Based on the ignition location parameters, the target ignition location of the cable in the simulation physical model is determined. The combustion diffusion rate is determined based on the fire source parameters, the ignition temperature parameters, and the heat release rate parameters. Based on the target ignition location of the cable, the combustion diffusion rate, and the simulation physical model, the combustion of the cable in the cable tunnel is simulated to determine the diffusion path of the smoke generated by the combustion.

6. The method according to claim 5, characterized in that, Based on the target ignition location of the cable, the combustion diffusion rate, and the simulation physical model, the combustion of the cable in the cable tunnel is simulated to determine the diffusion path of the smoke generated by the combustion, including: Based on the target ignition location of the cable, the combustion spread rate, and the simulation physical model, the combustion of the cable in the cable tunnel in the simulation physical model is simulated with the target ignition location of the cable as the combustion starting point, and the combustion state parameters of the cable at each time are determined. Based on the combustion state parameters of the cable at various times and the simulation physical model, the diffusion path of the flue gas is determined.

7. The method according to claim 6, characterized in that, The tunnel attribute parameters also include preset boundary condition parameters, and the simulation physical model is a simulation physical model with preset boundary condition parameters added. The determination of the flue gas diffusion path based on the combustion state parameters of the cable at various times and the simulation physical model includes: The spatial region determined by the simulation physical model is divided into multiple spatial grids. Based on the preset boundary condition parameters and the combustion state parameters at each time moment, the motion parameters of the flue gas at each time moment are simulated and calculated in multiple spatial grids to obtain the diffusion path of the flue gas.

8. The method according to claim 7, characterized in that, The spatial region determined by the simulation physical model is divided into multiple spatial grids, including: Based on the fire source parameters, determine the characteristic diameter of the fire source; The diameter of the fire source feature is used as the initial dividing size of the spatial grid to perform the initial grid division of the spatial region, resulting in multiple initial spatial grids; The first region of the spatial area is divided into multiple initial spatial grids by secondary densification to obtain multiple densified spatial grids. The first region is a preset range of the target ignition location of the cable. Multiple spatial grids are obtained based on multiple encrypted spatial grids in the first region and multiple initial spatial grids in the second region, wherein the second region is the region of the spatial region other than the first region.

9. The method according to claim 1, characterized in that, The method further includes: The first slope parameter of the cable tunnel is adjusted to the second slope parameter to obtain the updated tunnel attribute parameters; Based on the updated tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable, an updated simulation physical model of the cable tunnel is constructed. Based on the updated simulation physics model, the target nozzle configuration parameters of the fine water mist fire extinguishing system for the second slope parameter are determined.

10. A device for determining parameters of a fine water mist fire extinguishing system for a pumped storage power station cable tunnel, characterized in that, The device includes: A construction module is used to build a simulation physical model based on the tunnel attribute parameters of the cable tunnel and the cable configuration parameters of the cable in the cable tunnel, wherein the tunnel attribute parameters include the first slope parameter of the cable tunnel; The simulation module is used to simulate the burning of the cable in the cable tunnel based on the simulation physical model and ignition condition parameters, and to determine the diffusion path of the smoke generated by the combustion, wherein the diffusion path of the smoke is associated with the first slope parameter. The determination module is used to determine the target nozzle configuration parameters of the fine water mist fire extinguishing system for the first slope parameter based on the fire extinguishing effect evaluation results of multiple fire extinguishing simulation experiments. The fire extinguishing simulation experiments determine the parameters based on the diffusion path of the smoke and the variable values ​​of each variable in the nozzle configuration parameters of the fine water mist fire extinguishing system.

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