A dust removal pipe network flow prediction method and device based on a one-dimensional simulation model

Abstract

The application belongs to the technical field of dust removal pipe network, and discloses a dust removal pipe network flow prediction method and device based on a one-dimensional simulation model, which comprises the following steps: obtaining design drawings and parameter information of a dust removal pipe network system to be predicted; splitting layout drawings of each branch pipe included in the design drawings, and establishing a one-dimensional simulation model of the dust removal pipe network system based on the splitting result; setting signal element information for a target pipe model of the one-dimensional simulation model, and setting geometric boundary parameters for the pipe model; simulating and calculating the flow of each branch pipe model of the one-dimensional simulation model, and determining the total residual value of the simulation calculation process; in the case that the total residual value is less than a preset residual value, extracting the flow of each branch pipe model from the simulation result of the one-dimensional simulation model to obtain the flow of each branch pipe. The one-dimensional simulation model is constructed in the one-dimensional simulation software, and the flow of each branch pipe of the dust removal pipe network system can be efficiently and accurately predicted.

Description

Technical Field

[0001] This invention belongs to the field of dust removal pipeline technology, and particularly relates to a method and device for predicting the flow rate of dust removal pipelines based on a one-dimensional simulation model. Background Technology

[0002] In industrial production processes such as metallurgy and cement manufacturing, there are procedures or processes that release dust into the environment. To prevent industrial dust pollution and ensure fresh air at workstations, dust collection hoods are installed at the dust-emitting workstations, and the dust is then transported to dust collection equipment for centralized treatment through a dust collection pipeline system.

[0003] Typically, a dust collection pipeline system is connected to dozens or even hundreds of dust collection hoods operating in parallel. The system has multiple branch pipes, each containing various fittings such as straight pipes and bends. To ensure that the air volume extracted by each dust collection hood meets the design air volume, it is necessary to predict the flow rate of each branch pipe in the dust collection pipeline system.

[0004] In related technologies, the method for predicting the flow rate of each branch pipe in a dust removal pipeline system is usually as follows: based on a professional design manual, the flow rate of each branch pipe is calculated using a series of theoretical and empirical formulas. This method of predicting the flow rate of each branch pipe has the problems of large computational load and low accuracy of the calculated branch pipe flow rate. Summary of the Invention

[0005] The purpose of this invention is to efficiently and accurately predict the flow rate of each branch pipe in a dust removal pipeline network system.

[0006] In a first aspect, embodiments of the present invention provide a method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model, the method comprising:

[0007] Obtain the design drawings and parameter information of the dust removal pipeline system for which the flow rate to be predicted; the design drawings include the layout diagram of each branch pipeline of the dust removal pipeline system; the parameter information includes the fluid parameter information, fan parameter information and valve parameter information of the dust removal pipeline system;

[0008] The layout diagrams of each branch pipe included in the design drawings are split to obtain the splitting results; and a one-dimensional simulation model of the dust removal pipe network system is established based on the splitting results; the branch pipe models in the one-dimensional simulation model correspond one-to-one with the branch pipes in the design drawings, and the branch pipe models with corresponding relationships are the same as the layout diagrams of the branch pipes.

[0009] Based on the fan parameter information and the valve parameter information, signal element information is set for the target pipe fitting model of the one-dimensional simulation model, and geometric boundary parameters are set for the corresponding pipe fitting model based on the structural parameters of each pipe fitting in the design drawings; the target pipe fitting model includes a fan model and a valve model;

[0010] Based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe model, the flow rate of each branch pipe model of the one-dimensional simulation model is simulated and calculated, and the total residual value of the simulation calculation process is determined.

[0011] If the total residual value is less than the preset residual value, the flow rate of each branch pipe model is extracted from the simulation results of the one-dimensional simulation model, and based on the correspondence between the branch pipe models and the branch pipes, the flow rate of each branch pipe model is determined as the flow rate of its corresponding branch pipe.

[0012] Optionally, the step of splitting the layout diagram of each branch pipe included in the design drawings to obtain the splitting result; and establishing a one-dimensional simulation model of the dust removal pipe network system based on the splitting result, including:

[0013] The layout diagram of each branch pipe included in the design drawings is broken down to obtain the pipe fittings included in each branch pipe;

[0014] For each branch pipe, a pipe fitting model with the same number and structure as the pipe fittings included in the branch pipe is created in the one-dimensional simulation software;

[0015] For each branch pipe, according to the layout diagram of the branch pipe, the corresponding pipe fitting model is connected by a transmission line to obtain the branch pipe model corresponding to the branch pipe; the transmission line is used to transmit the physical quantities of the adjacent pipe fitting model to the next pipe fitting model according to the fluid flow direction; the physical quantities include fluid flow rate, temperature, pressure and heat flux.

[0016] The obtained multiple branch pipe models are combined to form a one-dimensional simulation model of the dust removal pipe network system.

[0017] Optionally, the pipe fittings obtained by splitting the layout diagram of each branch pipe include basic pipe fittings, which include straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings and valve pipe fittings;

[0018] For each branch pipe, establishing a pipe fitting model in the one-dimensional simulation software with the same number and structure as the pipe fittings included in the branch pipe includes:

[0019] For the target branch pipeline, directly establish the basic pipe fitting model corresponding to each basic pipe fitting included in the target branch pipeline; the target branch pipeline is any branch pipeline among the various branch pipelines.

[0020] For the non-basic pipe fittings included in the target branch pipeline, multiple basic pipe fittings that can form the non-basic pipe fittings are identified, basic pipe fitting models of the multiple basic pipe fittings are established, and non-basic pipe fitting models corresponding to the non-basic pipe fittings are obtained by combining the multiple basic pipe fitting models.

[0021] Optionally, the step of simulating and calculating the flow rate of each branch pipe model of the one-dimensional simulation model based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe model includes:

[0022] For each branch pipe model, based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model, the mass flow rate, heat flux density and pipe resistance of the inlet pipe model are calculated.

[0023] The mass flow rate, heat flux density, and pipe resistance of the inlet pipe model are transmitted to the next pipe model via a transmission line; wherein, when calculating the mass flow rate, heat flux density, and pipe resistance of the pipe model, if the pipe model is a valve model, the calculation parameters also include the signal element information of the valve model;

[0024] Based on the fluid parameter information corresponding to the next pipe fitting model, the geometric boundary parameters of the pipe fitting model, and the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model, calculate the mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model;

[0025] The mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model are transmitted to the next adjacent pipe fitting model through the transmission line, and the mass flow rate, heat flux density, and pipe resistance of the next adjacent pipe fitting model are calculated until the mass flow rate, heat flux density, and pipe resistance of the outlet pipe fitting model in the branch pipe model are calculated.

[0026] Based on the mass flow rate, heat flux density, and pipe resistance of the outlet pipe model, the flow rate of the branch pipe model is calculated.

[0027] Optionally, before calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe fitting model of the branch pipe model, the method further includes:

[0028] Obtain the start time, end time, and time interval for saving simulation data during the simulation calculation;

[0029] Starting from the aforementioned start time, the steps of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model are initiated.

[0030] After calculating the flow rate of the branch pipe model, the process returns to the step of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model; and stops the simulation calculation process when the time consumed by the simulation calculation process reaches the end time.

[0031] The flow rate of the branch pipeline model is saved at the specified time interval.

[0032] Optionally, if the total residual is greater than or equal to a preset residual value, the method further includes:

[0033] The simulation calculation process is stopped, and a simulation calculation error message is output; the simulation calculation error message includes the erroneous geometric boundary parameters of the target pipe fitting model; the target pipe fitting model is the pipe fitting model that caused the simulation calculation error.

[0034] Obtain the correct geometric boundary parameters of the target pipe fitting model;

[0035] The step of simulating and calculating the flow rate of each branch pipe model in the one-dimensional simulation model based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe fitting model includes:

[0036] Based on the fluid parameter information, the signal element information, and the correct geometric boundary parameters of the pipe fitting model, the flow rate of each branch pipe model of the one-dimensional simulation model is simulated and calculated.

[0037] Secondly, embodiments of the present invention provide a dust removal pipeline flow prediction device based on a one-dimensional simulation model, the device comprising:

[0038] The information acquisition module is used to acquire the design drawings and parameter information of the dust removal pipeline system whose flow rate is to be predicted; the design drawings include the layout diagram of each branch pipeline of the dust removal pipeline system; the parameter information includes the fluid parameter information, fan parameter information and valve parameter information of the dust removal pipeline system.

[0039] The simulation model construction module is used to decompose the layout diagram of each branch pipe included in the design drawing to obtain the decomposition result; and to establish a one-dimensional simulation model of the dust removal pipe network system based on the decomposition result; the branch pipe model in the one-dimensional simulation model corresponds one-to-one with the branch pipe in the design drawing, and the branch pipe model with the corresponding relationship is the same as the layout diagram of the branch pipe.

[0040] The parameter setting module is used to set signal element information for the target pipe fitting model of the one-dimensional simulation model based on the fan parameter information and the valve parameter information, and to set geometric boundary parameters for the corresponding pipe fitting model based on the structural parameters of each pipe fitting in the design drawings; the target pipe fitting model includes a fan model and a valve model;

[0041] The simulation calculation module is used to perform simulation calculations on the flow rate of each branch pipe model of the one-dimensional simulation model based on the fluid parameter information, the signal element information and the geometric boundary parameters of the pipe model, and to determine the total residual value of the simulation calculation process.

[0042] The flow acquisition module is used to extract the flow of each branch pipe model from the simulation results of the one-dimensional simulation model when the total residual value is less than a preset residual value, and to determine the flow of each branch pipe model as the flow of its corresponding branch pipe based on the correspondence between the branch pipe models and the branch pipes.

[0043] Thirdly, embodiments of the present invention provide an electronic device, comprising:

[0044] At least one processor;

[0045] Memory for storing the at least one processor-executable instruction;

[0046] The at least one processor is configured to execute the instructions to implement the method described in the first aspect.

[0047] Fourthly, embodiments of the present invention provide a computer-readable storage medium that, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the method described in the first aspect.

[0048] Fifthly, embodiments of the present invention provide a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0049] The technical solution provided by this invention involves acquiring the design drawings and parameter information of a dust removal pipeline system, and decomposing the layout diagrams of various branch pipes included in the design drawings to obtain various types of pipe fittings included in the dust removal pipeline system. Based on the decomposed pipe fittings and the layout diagrams of the design drawings, a one-dimensional simulation model of the dust removal pipeline system is established. Signal element information is set for the fan model and valve model in the one-dimensional simulation model, and geometric boundary parameters are set for each pipe fitting model. Then, one-dimensional simulation software performs simulation calculations on each branch pipe model of the one-dimensional simulation model using fluid parameter information, signal element information, and geometric boundary parameters of each pipe fitting model. If the total residual value of the simulation calculation process is less than a preset residual value, the simulation calculation is determined to be converged, and the flow rate of each branch pipe model is extracted from the simulation results. Since the branch pipe model corresponds one-to-one with the branch pipes of the dust removal pipeline system, the flow rate of each branch pipe of the dust removal pipeline system is obtained. Therefore, this invention, by constructing a one-dimensional simulation model using one-dimensional simulation software, can automatically predict the flow rate of each branch pipe of the dust removal pipeline system, achieving the goal of efficiently and accurately predicting the flow rate of each branch pipe of the dust removal pipeline system. Attached Figure Description

[0050] Figure 1 A schematic diagram illustrating a method for predicting dust removal pipeline flow based on a one-dimensional simulation model, provided by the present invention.

[0051] Figure 2 Design drawings of a dust removal pipeline system for predicting flow rate provided by the present invention;

[0052] Figure 3 This is a structural schematic diagram of the straight pipe fitting provided by the present invention;

[0053] Figure 4 This is a structural schematic diagram of the pipe bending component provided by the present invention;

[0054] Figure 5 A schematic diagram of the structure of the reducing pipe fitting provided by the present invention;

[0055] Figures 6(a) and 6(b) are schematic diagrams of the structure of the tee fitting provided by the present invention;

[0056] Figure 7 This is a schematic diagram of the structure of the valve fittings provided by the present invention;

[0057] Figure 8 A schematic diagram of the throttling fitting provided by the present invention;

[0058] Figure 9 for Figure 2 The one-dimensional simulation model corresponding to the design drawings shown;

[0059] Figure 10A flowchart of a dust removal pipeline flow prediction method based on a one-dimensional simulation model is provided in this embodiment of the invention;

[0060] Figure 11 for Figure 10 A flowchart illustrating the specific implementation of S1020;

[0061] Figure 12 for Figure 10 A flowchart illustrating the specific implementation of S1040;

[0062] Figure 13 A schematic diagram of the structure of a dust removal pipeline flow prediction device based on a one-dimensional simulation model provided in this embodiment of the invention;

[0063] Figure 14 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0064] The present invention will be described in detail below through embodiments.

[0065] In industrial production processes such as metallurgy and cement manufacturing, there are procedures or processes that release dust into the environment. To prevent industrial dust pollution and ensure fresh air at workstations, dust collection hoods are installed at the dust-emitting workstations, and the dust is then transported to dust collection equipment for centralized treatment through a dust collection pipeline system.

[0066] Typically, dust collection piping systems are connected to dozens or even hundreds of dust collection hoods operating in parallel. These systems have multiple branch pipes, each containing various fittings such as straight pipes and bends. To ensure that each dust collection hood extracts enough air to meet the design airflow, the design of each fitting within the system needs to be optimized. This includes optimizing straight pipes, tees, bends, valves, and resistance balancers to balance the resistance of each branch pipe. This requires predicting the flow rate of each branch pipe in the dust collection piping system. However, in a sense, a dust collection piping system can be considered a complex "black box" model, and accurately predicting the flow rate of each branch pipe remains a challenge. Currently, there are three main methods for predicting the flow rate of dust collection piping systems: The first method involves using professional design manuals and a series of theoretical and empirical formulas to calculate the flow rate of each branch pipe. This method suffers from high computational complexity and low accuracy in obtaining the calculated flow rate. The second method involves using computational fluid dynamics (CFD) software to simulate and calculate the flow rate of each branch pipe in the dust removal pipeline system. While this method can obtain the airflow state within the system, it suffers from technical challenges such as a large workload for modeling, high hardware requirements, and a long development cycle. The third method uses historical operational data to train a predictive model, which is then used to predict the flow rate of each branch pipe in the dust removal pipeline system. However, this method requires a large amount of historical operational data to ensure accuracy. On the one hand, most projects do not have online monitoring devices; on the other hand, the predictive model is not suitable for newly built dust removal pipeline systems. This method is mostly used for optimizing the operation and control of existing dust removal pipeline systems.

[0067] To address this, the present invention provides a method for predicting the flow rate of a dust collection pipeline network based on a one-dimensional simulation model. By acquiring the design drawings of the dust collection pipeline network system, key aspects of the drawings are broken down, and pipe models of various types of pipe fittings are constructed on one-dimensional simulation software to obtain a one-dimensional simulation model of the dust collection pipeline network system. The flow rate of each branch pipe model in the one-dimensional simulation model is then simulated and calculated, enabling rapid and accurate prediction of the flow rate of each branch pipe in the dust collection pipeline network system. Furthermore, this allows for rapid and accurate prediction of the air volume extracted by each dust collection hood connected to the dust collection pipeline network. Simultaneously, the solution provided by this invention allows for convenient adjustment of pipe fitting parameters, supports rapid adjustment calculations for multiple schemes and operating conditions, and has the advantages of high design efficiency and high prediction accuracy.

[0068] like Figure 1 The diagram shows a method for predicting the flow of dust removal pipelines based on a one-dimensional simulation model provided by the present invention. Its workflow is mainly divided into three stages: data digestion, simulation process, and result analysis.

[0069] The first stage is the data digestion stage. Specifically, this stage mainly involves collecting the design drawings and parameter information of the dust collection pipeline system for which the flow rate to be predicted is located. The design drawings include the pipeline layout diagram from each workstation's dust collection hood to the dust collector. Since there are usually multiple dust collection hoods and multiple branch pipes in the dust collection pipeline system, the design drawings also include the layout diagram of each branch pipe of the dust collection pipeline system. For example, such as... Figure 2 The image shows the design drawings of a dust removal pipeline system with a flow rate to be predicted. The drawings reveal that the system comprises seven branch pipes: branch pipe 1 (referred to as branch pipe 1), branch pipe 2 (referred to as branch pipe 2), branch pipe 3 (referred to as branch pipe 3), branch pipe 4 (referred to as branch pipe 4), branch pipe 5 (referred to as branch pipe 5), branch pipe 6 (referred to as branch pipe 6), and branch pipe 7 (referred to as branch pipe 7). Figure 2 In the diagram, number 1 represents a straight pipe fitting, number 2 represents a valve fitting, number 3 represents a bend fitting, number 4 represents a tee fitting, and number 5 represents a throttling fitting. In other words, the dust removal pipeline system consists of multiple straight pipe fittings, multiple valve fittings, multiple bend fittings, multiple tee fittings, and multiple throttling fittings.

[0070] The parameter information of the dust removal pipeline system mainly includes fluid parameter information, fan parameter information, and valve parameter information. Fluid parameter information includes the fluid's physical properties such as density, specific heat capacity, viscosity, thermal conductivity, temperature, and pressure. The fluid can be air or flue gas. Fan parameter information mainly shows the change in fan pressure over time. Valve parameter information mainly includes the valve type and opening degree. For example... Figure 1 As shown, parameters such as fluid, fan, and valve information can be used to set boundary conditions during the simulation phase. In other words, parameter information is part of the input for the simulation process.

[0071] The second stage is the simulation process stage. For example... Figure 1 As shown, the simulation process includes five steps: disassembling the pipes into various types, establishing a one-dimensional simulation model, setting boundary conditions, setting solution parameters, and iterative calculation to achieve convergence. Details are as follows:

[0072] (1) Disassemble into various types of pipe fittings. Specifically, based on the design drawings of the dust removal pipeline system, disassemble the pipe fittings included in each branch pipeline of the dust removal pipeline system into straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, valve pipe fittings, etc., such as Figures 3-7 As shown, Figure 3 This is a structural diagram of a straight pipe fitting. Figure 3 In D h For the hydraulic diameter of the straight pipe fitting, lHere, represents the length of the flow section of the straight pipe fitting; `inlet` indicates the inlet of the straight pipe fitting, and `outlet` indicates the outlet of the straight pipe fitting. For example... Figure 4 The diagram shown is a structural schematic of a pipe bend. D h The hydraulic diameter of the bend is... r c Let be the radius of curvature of the bent pipe fitting. δ Here, represents the central angle of the bend in the pipe fitting; inlet represents the inlet of the straight pipe fitting; and outlet represents the outlet of the straight pipe fitting. 。 like Figure 5 The diagram shown is a structural schematic of a reducer fitting. D 1 represents the narrow diameter of the reducer fitting. D 2 represents the flared diameter of the reducer fitting. α The total aperture angle is denoted by , inlet represents the inlet of the straight pipe fitting, and outlet represents the outlet of the straight pipe fitting. Figures 6(a) and 6(b) show schematic diagrams of the structure of a tee fitting. D c For the diameter of the main pipe, D 1 represents the diameter of branch pipe 1. D 2 is the diameter of branch pipe 2. α The angle between the main pipe and the branch pipe; inlet indicates the inlet of the tee fitting; outlet indicates the outlet of the tee fitting. v c This refers to the fluid velocity in the main pipeline. For example... Figure 7 The diagram shown is a structural schematic of a valve fitting. D vavle For valve fittings, valve diameter and D sharft φ represents the diameter of the butterfly valve shaft, φ represents the opening angle of the butterfly valve, inlet indicates the inlet of the valve fitting, and outlet indicates the outlet of the valve fitting. For example... Figures 3-7 The image shows the basic pipe components of a dust removal pipeline system. For more complex super-pipe components, such as... Figure 8 The throttling fitting shown can consist of two reducer fittings and one straight fitting. The reducer fittings are... Figure 8 The image shows straight pipes and gradually expanding pipes.

[0073] (2) Establish a one-dimensional simulation model. After disassembling the dust removal pipeline system according to its design drawings, various types of pipe components can be obtained. A pipe component model with the same quantity and structure as the dust removal pipeline system can be established in one-dimensional simulation software. Following the connection method of the pipe components in the design drawings, transmission lines are constructed to connect each pipe component model, forming a one-dimensional simulation model with the exact same layout as the dust removal pipeline system's design drawings. For example... Figure 9 As shown Figure 2The design drawings shown correspond to a one-dimensional simulation model. A transmission line is constructed to transfer physical quantities such as mass flow rate, temperature, pressure, heat flux, heat flux density, and pipe resistance between adjacent pipe fittings, satisfying the laws of conservation of mass, momentum, and energy. In other words, each pipe fitting model is equivalent to a computational unit. First, unit calculations are performed. For each pipe fitting model, after calculating its mass flow rate, heat flux, temperature, heat flux density, and pipe resistance, these physical quantities are transferred to the next pipe fitting model via the transmission line. After the next pipe fitting model absorbs these physical quantities, its mass flow rate, heat flux, temperature, heat flux density, and pipe resistance are calculated. Then, these physical quantities are transferred again to the next adjacent pipe fitting model via the transmission line, until the physical quantities of the outlet pipe fitting model of the dust removal pipe network system are calculated. Based on the physical quantities of the outlet pipe fitting model, the flow rates of each branch pipe of the dust removal pipe network system are calculated.

[0074] (3) Setting Boundary Conditions. After establishing the one-dimensional simulation model, signal element information can be set on the fan, valves, and pipe fittings. The signal element information realizes the linear and nonlinear input settings according to the change of a certain parameter. It can be a constant value, function value, periodic value, tabular value, etc. It is a dimensionless value and can be compatible with all physical units. Specifically, for fan pressure, in actual working conditions, if the fan pressure is a frequency conversion signal, then a function signal can be set; if the fan pressure is not a frequency conversion signal, then a constant signal can be set. For valve opening, in practical applications, if it is not a special working condition, a constant value can be set, for example, 90 degrees. If it is a special working condition, then a signal element can be set to change the valve opening, for example, the valve opening can change with time.

[0075] For various types of pipe fittings in a one-dimensional simulation model, boundary physical quantities need to be defined. These boundary physical quantities include not only the initially set fluid parameters but also geometric boundary parameters. Furthermore, during the simulation calculation, the fluid parameters, signal element information, and geometric boundary parameters are used to calculate mass flow rate, heat flux density, and pipe fitting resistance. The following section elaborates on the geometric boundary parameters for different types of pipe fittings and the main formulas for calculating mass flow rate, heat flux density, and pipe fitting resistance.

[0076] ① Straight pipe fittings

[0077] Straight pipe fittings can have either round or square shapes. If the straight pipe fitting is a round pipe, then the geometric boundary parameters...

[0078] The number includes the pipe inner diameter D h and pipe length lIf the straight pipe fitting is a square pipe, then the geometric boundary parameters include the pipe width. w and high h .

[0079] Calculate mass flow rate m The formula is:

[0080]

[0081] Where A is the circulation area, in meters (m²). 2 , C q is the flow coefficient, which is a dimensionless coefficient; P up This refers to the upstream pressure, expressed in Pa. T up The upstream temperature; C m This is a mass flow rate parameter, with units of (kg·K / J). 1 / 2 .

[0082] Calculate heat flux density h The main formula is:

[0083]

[0084] in, k The heat exchange coefficient is expressed in units of 1000 ppm. J / ( s • m 2 • K ); A ext Heat exchange area, unit is m. 2 ; T ext External temperature, in Kelvin (K). T The fluid temperature is expressed in Kelvin (K).

[0085] Calculate pipe fitting resistance Δp The main formula is:

[0086]

[0087] in, λ The coefficient of frictional resistance is dimensionless. D h The hydraulic diameter of the straight pipe fitting is in meters (m). l The length of the flow section of the straight pipe fitting is in meters (m). ρ Fluid density, in kg / m³ 3 Q represents volumetric flow rate, in cubic meters per second (m³). 3 / s; A minMinimum cross-sectional area, in meters. 2 .

[0088] ② Pipe bending fittings

[0089] The geometry of the pipe bend can be either round or square; the geometric boundary parameters include the curvature of the pipe bend.

[0090] radius r c Central angle δ and hydraulic diameter D h .

[0091] For bent pipe fittings, one-dimensional simulation software is mainly used to calculate mass flow rate, heat flux density, and pipe resistance.

[0092] The formulas for calculating mass flow rate, heat flux density, and pipe resistance for straight pipe fittings are basically the same. However, the resistance coefficient for bent pipe fittings is not based on the friction resistance coefficient. λ Instead, the local drag coefficient is used. ζ .

[0093]

[0094] in, A 1 is a geometric parameter function for the bending center angle δ; B 1 represents the relative radius of curvature r. crel of

[0095] Geometric parametric functions, circular cross-section r crel = r c / D 0, rectangular cross-section r crel = r c / b 0; C 1 is a geometric parameter function representing the ratio of the height to the width of the bending section. a 0 / b 0. For a circular cross-section, C1 = 1. k Re It is a factor that depends on the Reynolds number and the relative radius of curvature. r crel The coefficient. δ Convert from degrees to radians using the factor 180 / π. λ It is a conventional friction factor obtained through relative roughness (rr), Nikuradse lemma, and cross-sectional geometry.

[0096] ③ Reducer fittings

[0097] Geometric boundary parameters include: total aperture angle α , expanded diameter D 2 and the diameter of the constriction D 1.

[0098] For reducing pipe fittings, one-dimensional simulation software calculates mass flow rate, heat flux density, and pipe diameter.

[0099] The main formulas for calculating the resistance of straight pipe fittings are basically the same as those for calculating mass flow rate, heat flux density, and pipe resistance. However, the pipe resistance coefficient is not based on the friction resistance coefficient. λ Instead, the local drag coefficient is used. ζ fr .

[0100] in, D 2 represents the flared diameter, in mm; D 1 represents the narrow diameter, in mm. α The total aperture angle is expressed in degrees. λ It is a conventional friction factor obtained through relative roughness (rr), Nikuradse lemma, and cross-sectional geometry.

[0101] ④ Tee fittings

[0102] The geometric boundary parameters are: main pipe diameter D c Diameter of branch pipe 1 D 1. Diameter of branch pipe 2 D 2. Angle between main pipe and branch pipe α .

[0103] For tee fittings, one-dimensional simulation software calculates mass flow rate, heat flux density, and fitting resistance.

[0104] The main formulas are basically the same as those used for calculating mass flow rate, heat flux density, and pipe resistance in straight pipe fittings. However, the pipe resistance coefficient is not based on the friction resistance coefficient. λ Instead, the local drag coefficient is used. ζ 1. ζ 2. One-dimensional simulation software can obtain the local drag coefficient through interpolation using pre-built parameter tables. ζ 1. ζ 2.

[0105]

[0106]

[0107] in, Δp 1 and Δp2 represents the resistance of the two branch pipes, in Pa; v c The fluid velocity in the main pipeline is expressed in m / s. ζ 1 and ζ 2 represents the resistance coefficients of the two branch pipes, which are dimensionless.

[0108] ⑤ Valves and pipe fittings

[0109] Geometric boundary parameters include: valve diameter D vavle butterfly valve shaft diameter D sharft and the opening and closing of the butterfly valve

[0110] Angle φ.

[0111] For valves, one-dimensional simulation software calculates mass flow rate, heat flux density, and pipe resistance.

[0112] The main formulas are basically the same as those used to calculate mass flow rate, heat flux density, and pipe resistance in straight pipe fittings. However, they should also satisfy the following equations:

[0113]

[0114]

[0115] in, C q and C m These are the control coefficients calculated by the one-dimensional simulation software using the two formulas mentioned above. γ = C p / C v For specific heat ratio, C p It is a reference specific heat at constant pressure. C v It is a constant-volume specific heat; P cr This is the critical pressure ratio; p up The total upstream pressure is expressed in Pa. p dn This represents the total downstream pressure, expressed in Pa.

[0116] ⑥ Super Pipe Fittings

[0117] For more complex superpipe fittings, when setting their geometric boundary parameters, it is necessary to set the geometric boundary parameters of the multiple basic pipe fittings that make up the superpipe fitting. The mass flow rate, heat flux density, and pipe resistance of the superpipe fitting are then calculated using the corresponding calculation formulas for the basic pipe fittings.

[0118] It should be noted that those skilled in the art should understand that the parameters included in the above formulas can be obtained directly or indirectly by one-dimensional simulation software through fluid parameter information, signal element information, and geometric boundary parameters, and will not be elaborated further here.

[0119] (4) Setting the solution control parameters. Specifically, after obtaining the one-dimensional simulation model of the dust removal pipeline system and setting the fluid parameter information, fan parameter information, valve parameter information, and geometric boundary parameters of each pipe model, the simulation calculation process of the one-dimensional simulation model can begin. Before performing the simulation calculation, the solution control parameters can be set, which may include the start time of the simulation calculation, the end time of the simulation calculation, and the time interval for saving simulation data. For example, the start time of the simulation calculation can be set to 0s, the end time of the simulation calculation can be set to 200s, and the time interval for saving simulation data can be set to 0.01s. After setting the solution control parameters, the simulation calculation process can begin, and the flow rate of each branch pipe model of the dust removal pipeline system can be simulated.

[0120] (5) Iterative calculation convergence. Specifically, a preset residual value can be set in advance. For example, the preset residual value can be 1×10. -7 Each time the one-dimensional simulation software performs a flow simulation calculation on the one-dimensional simulation model, it calculates a total residual value. After obtaining the total residual value, it compares it with a preset residual value. If the total residual value is less than the preset residual value, it indicates that the iterative calculation has converged. If the total residual value is greater than or equal to the preset residual value, it indicates that the iterative calculation has not converged. In this case, the one-dimensional simulation software reports an error, needs to check whether there are any errors in the setting of the geometric boundary parameters of the pipe fitting model, adjust the incorrectly set geometric boundary parameters of the pipe fitting model, and then restart the simulation calculation process.

[0121] The total residual value mentioned above is a key process control parameter in the integral calculation during the simulation process. It originates from the error caused by using approximation methods instead of exact analytical expressions in implicit calculations. In order to ensure the accuracy of the simulation results, the residual value is preset to prevent the error from accumulating too much and adversely affecting the simulation accuracy.

[0122] 3. Result Analysis Stage. After the simulation calculation process in the one-dimensional simulation software converges iteratively, the simulation results are determined and can be analyzed. The result analysis stage involves extracting the flow rate of each branch pipe model from the simulation results. Since each branch pipe model corresponds to a branch pipe in the dust removal pipe network system, the flow rate of each branch pipe in the dust removal pipe network system can be obtained. Furthermore, operating status information such as wind speed, inlet and outlet pressure, and inlet and outlet temperature of each pipe fitting can also be extracted from the simulation results.

[0123] The technical solution provided by this invention involves acquiring the design drawings and parameter information of a dust removal pipeline system, and decomposing the layout diagrams of various branch pipes included in the design drawings to obtain various types of pipe fittings included in the dust removal pipeline system. Based on the decomposed pipe fittings and the layout diagrams of the design drawings, a one-dimensional simulation model of the dust removal pipeline system is established. Signal element information is set for the fan model and valve model in the one-dimensional simulation model, and geometric boundary parameters are set for each pipe fitting model. Then, one-dimensional simulation software performs simulation calculations on each branch pipe model of the one-dimensional simulation model using fluid parameter information, signal element information, and geometric boundary parameters of each pipe fitting model. If the total residual value of the simulation calculation process is less than a preset residual value, the simulation calculation is determined to be converged, and the flow rate of each branch pipe model is extracted from the simulation results. Since the branch pipe model corresponds one-to-one with the branch pipes of the dust removal pipeline system, the flow rate of each branch pipe of the dust removal pipeline system is obtained. Therefore, this invention, by constructing a one-dimensional simulation model using one-dimensional simulation software, can automatically predict the flow rate of each branch pipe of the dust removal pipeline system, achieving the goal of efficiently and accurately predicting the flow rate of each branch pipe of the dust removal pipeline system.

[0124] like Figure 10 As shown in the figure, a method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model is provided by an embodiment of the present invention. This method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model can be applied to electronic devices equipped with one-dimensional simulation software, and specifically includes the following steps:

[0125] S1010: Obtain the design drawings and parameter information of the dust removal pipeline system for which the flow rate to be predicted is to be obtained.

[0126] The design drawings include layout diagrams of the various branch pipes of the dust removal pipeline system. The parameter information includes fluid parameters, fan parameters, and valve parameters of the dust removal pipeline system.

[0127] Specifically, since there are usually multiple dust collection hoods and multiple branch pipes in the dust collection pipeline system, the design drawings include the layout diagram of each branch pipe of the dust collection pipeline system. The parameter information of the dust collection pipeline system mainly includes fluid parameter information, fan parameter information, and valve parameter information. Among them, the fluid parameter information includes the physical properties of the fluid such as density, specific heat capacity, viscosity, thermal conductivity, temperature, and pressure. The fluid can be air or flue gas. The fan parameter information mainly shows the relationship between fan pressure and time. The valve parameter information mainly shows the valve type and opening degree.

[0128] S1020: Decompose the layout diagram of each branch pipe included in the design drawings to obtain the decomposition result. Then, establish a one-dimensional simulation model of the dust removal pipe network system based on the decomposition result.

[0129] In the one-dimensional simulation model, the branch pipe model corresponds one-to-one with the branch pipe in the design drawing, and the branch pipe model with the corresponding relationship is the same as the layout diagram of the branch pipe.

[0130] Specifically, based on the design drawings of the dust removal pipeline system, the pipe fittings included in each branch pipeline of the dust removal pipeline system are broken down into basic pipe fittings such as straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, and valve pipe fittings; for complex super pipe fittings, they can be obtained by combining basic pipe fittings.

[0131] After splitting the pipe into multiple components, a corresponding pipe model can be created for each component. That is, if the component is straight, a straight pipe model is created; if it is bent, a bent pipe model is created. In short, all split pipe components need corresponding models. Since the design drawings have multiple branch pipes, multiple branch pipe models need to be created. For example, if the design drawings include 7 branch pipes, 7 branch pipe models need to be created. Furthermore, the branch pipe models in the one-dimensional simulation model correspond one-to-one with the branch pipes in the design drawings, and the corresponding branch pipe models have the same layout as the branch pipes. Finally, a one-dimensional simulation model is formed that is completely identical to the layout of the dust removal pipe network system in the design drawings. To clarify the solution, the specific implementation of S1020 will be described in detail in the following embodiments.

[0132] S1030 sets signal element information for the target pipe fitting model in the one-dimensional simulation model based on the fan and valve parameter information, and sets geometric boundary parameters for the corresponding pipe fitting models based on the structural parameters of each pipe fitting in the design drawings. The target pipe fitting model includes both the fan and valve models.

[0133] After establishing the one-dimensional simulation model, boundary conditions need to be set. Boundary conditions are the parameter inputs to the one-dimensional simulation software. Boundary conditions can be broadly divided into two categories: the first is signal element information, and the second is geometric boundary parameters.

[0134] Specifically, signal element information can be set on fans, valves, and pipe fittings. This signal element information allows for linear and non-linear input settings based on a specific parameter change. It can be a constant value, a function value, a periodic value, a tabular value, etc., and is dimensionless, compatible with all physical units. For example, regarding fan pressure, in actual operating conditions, if the fan pressure is a frequency converter signal, a function signal can be set; if the fan pressure is not a frequency converter signal, a constant signal can be set. For valve opening, in practical applications, unless under special conditions, a constant value can be set, such as 90 degrees. Under special conditions, a signal element can be set to change the valve opening, for example, the valve opening can change over time.

[0135] For each type of pipe fitting model in the one-dimensional simulation model, geometric boundary parameters need to be set. The geometric boundary parameters of the pipe fitting models corresponding to straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, valve pipe fittings and super pipe fittings have been described in detail in the above embodiments and will not be repeated here.

[0136] S1040, based on fluid parameter information, signal element information and geometric boundary parameters of the pipe fitting model, performs simulation calculations on the flow rate of each branch pipe model of the one-dimensional simulation model, and determines the total residual value of the simulation calculation process.

[0137] Specifically, the one-dimensional simulation software takes fluid parameter information, signal element information, and geometric boundary parameters of each pipe fitting model as input, and automatically executes the flow simulation calculation process for each branch pipe model of the one-dimensional simulation model. In practical applications, the start and end times of the simulation calculation process can be set, and multiple rounds of simulation calculations can be performed within the time interval between the start and end times. Each simulation calculation corresponds to a total residual value, which is compared with a preset residual value in subsequent steps to determine whether the simulation calculation has converged. To clarify the solution, the specific implementation of step S1040 will be described in detail in the following embodiments.

[0138] S1050, when the total residual value is less than the preset residual value, extract the flow rate of each branch pipe model from the simulation results of the one-dimensional simulation model, and determine the flow rate of each branch pipe model as the flow rate of its corresponding branch pipe based on the correspondence between the branch pipe models and the branch pipes.

[0139] Specifically, a preset residual value can be set in advance; for example, the preset residual value can be 1×10. -7The one-dimensional simulation software calculates a total residual value for each flow simulation of the one-dimensional simulation model. This total residual value is then compared to a preset residual value. If the total residual value is less than the preset residual value, the iterative calculation has converged. The flow accuracy of the branch pipe models of the dust removal pipe network system saved in the simulation results is high. Therefore, the flow rate of each branch pipe model can be extracted from the simulation results. Furthermore, each branch pipe model corresponds to one branch pipe, meaning the flow rate of each branch pipe in the dust removal pipe network system can be obtained. For example, if the design drawings include 7 branch pipes, then the one-dimensional simulation model includes 7 branch pipe models. After accurately obtaining the flow rate of the 7 branch pipe models, the flow rate of the 7 branch pipes can be accurately obtained.

[0140] In one implementation, when the total residual is greater than a preset residual value, the dust removal pipeline flow prediction method based on a one-dimensional simulation model may further include the following steps, namely steps 1 to 2:

[0141] Step 1: Stop the simulation calculation process and output the simulation calculation error message.

[0142] The simulation error messages include incorrect geometric boundary parameters of the target pipe fitting model. The target pipe fitting model is the pipe fitting model that caused the simulation error.

[0143] Step 2: Obtain the correct geometric boundary parameters of the target pipe fitting model.

[0144] At this point, S1040, based on fluid parameter information, signal element information, and geometric boundary parameters of the pipe fitting model, the flow rate of each branch pipe model in the one-dimensional simulation model is simulated and calculated, including:

[0145] Based on fluid parameter information, signal element information, and the correct geometric boundary parameters of the pipe fitting model, the flow rate of each branch pipe model in the one-dimensional simulation model is simulated and calculated.

[0146] If the total residual value is greater than or equal to the preset residual value, it indicates that the iterative calculation has not converged. The one-dimensional simulation software will report an error and output an error message, which may include incorrect geometric boundary parameters of the target pipe model. The target pipe model is the pipe model that caused the simulation error. The software will then adjust the incorrectly set geometric boundary parameters of the pipe model and restart the simulation calculation process.

[0147] The technical solution provided by this invention involves acquiring the design drawings and parameter information of a dust removal pipeline system, and decomposing the layout diagrams of various branch pipes included in the design drawings to obtain various types of pipe fittings included in the dust removal pipeline system. Based on the decomposed pipe fittings and the layout diagrams of the design drawings, a one-dimensional simulation model of the dust removal pipeline system is established. Signal element information is set for the fan model and valve model in the one-dimensional simulation model, and geometric boundary parameters are set for each pipe fitting model. Then, one-dimensional simulation software performs simulation calculations on each branch pipe model of the one-dimensional simulation model using fluid parameter information, signal element information, and geometric boundary parameters of each pipe fitting model. If the total residual value of the simulation calculation process is less than a preset residual value, the simulation calculation is determined to be converged, and the flow rate of each branch pipe model is extracted from the simulation results. Since the branch pipe model corresponds one-to-one with the branch pipes of the dust removal pipeline system, the flow rate of each branch pipe of the dust removal pipeline system is obtained. Therefore, this invention, by constructing a one-dimensional simulation model using one-dimensional simulation software, can automatically predict the flow rate of each branch pipe of the dust removal pipeline system, achieving the goal of efficiently and accurately predicting the flow rate of each branch pipe of the dust removal pipeline system.

[0148] In one implementation, such as Figure 11 As shown in step S1020, the layout diagram of each branch pipe included in the design drawing is split to obtain the split result; and a one-dimensional simulation model of the dust removal pipe network system is established based on the split result, which may include the following steps:

[0149] S1021, the layout diagram of each branch pipe included in the design drawings is split to obtain the pipe fittings included in each branch pipe.

[0150] Specifically, after obtaining the design drawings of the dust removal pipeline system, which typically include layout diagrams of multiple branch pipes, these diagrams can be broken down to obtain the pipe fittings included in each branch pipe. For example, such as... Figure 2 The design drawings shown include 7 branch pipes, so the layout diagrams of the 7 branch pipes can be split.

[0151] S1022. For each branch pipe, create a pipe fitting model in the one-dimensional simulation software that has the same number of fittings and the same structure as the branch pipe.

[0152] Specifically, after disassembling the dust removal pipeline system according to the design drawings, various types of pipes can be obtained, and a pipe model with the same number and structure as the dust removal pipeline system can be created in one-dimensional simulation software.

[0153] As one implementation of this disclosure, the pipe fittings obtained by splitting the layout diagram of each branch pipe include basic pipe fittings, which include straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, and valve pipe fittings. At this time, in step S1022, for each branch pipe, establishing a pipe fitting model in one-dimensional simulation software with the same number and structure as the pipe fittings included in the branch pipe can include the following steps, namely steps a1 and a2:

[0154] Step a1: For the target branch pipeline, directly establish the basic pipe fitting models corresponding to each basic pipe fitting included in the target branch pipeline. The target branch pipeline is any branch pipeline among all branch pipelines.

[0155] Step a2: For the non-basic pipe fittings included in the target branch pipeline, identify multiple basic pipe fittings that can form the non-basic pipe fittings, establish basic pipe fitting models of multiple basic pipe fittings, and obtain the non-basic pipe fitting models corresponding to the non-basic pipe fittings by combining multiple basic pipe fitting models.

[0156] Specifically, for basic pipe fittings such as straight pipe fittings, bends, reducers, tees, and valves, one-dimensional simulation software can create separate models for each type. For more complex non-basic pipe fittings, the basic pipe fittings that make up the non-basic fittings can be identified first, and basic pipe fitting models for these basic fittings can be created. Then, the non-basic fitting models can be obtained by combining these basic fitting models. This simplifies the design and allows for the rapid construction of one-dimensional simulation models.

[0157] S1023, For each branch pipe, according to the layout diagram of the branch pipe, connect the pipe fitting model corresponding to the branch pipe through the transmission line to obtain the branch pipe model corresponding to the branch pipe.

[0158] S1024. The obtained multiple branch pipe models are combined into a one-dimensional simulation model of the dust removal pipe network system.

[0159] The transmission line is used to transfer physical quantities from the adjacent pipe fitting model to the next pipe fitting model in the direction of fluid flow. These physical quantities include fluid flow rate, temperature, pressure, and heat flux.

[0160] Specifically, after creating pipe models with the same number and structure as the dust removal pipe network system in one-dimensional simulation software, the pipe models can be connected by constructing transmission lines according to the connection method of the pipes in the design drawings to form a one-dimensional simulation model with the same layout as the dust removal pipe network system design drawings. The constructed transmission line can transfer physical quantities such as mass flow rate, temperature, pressure, heat flux, heat flux density, and pipe resistance between adjacent pipe fittings, satisfying the laws of conservation of mass, momentum, and energy. In other words, each pipe fitting model is equivalent to a calculation unit. First, unit calculations are performed. For a pipe fitting model, after calculating the physical quantities such as mass flow rate, heat flux, temperature, heat flux density, and pipe resistance, these physical quantities are transferred to the next pipe fitting model through the transmission line. After the next pipe fitting model absorbs these physical quantities, the mass flow rate, heat flux, temperature, heat flux density, and pipe resistance of the next pipe fitting model are calculated. Then, the mass flow rate, heat flux, temperature, heat flux density, and pipe resistance of the next pipe fitting model are transferred to the next adjacent pipe fitting model through the transmission line, until the physical quantities of the outlet pipe fitting model of the dust removal pipe network system are calculated. Based on the physical quantities of the outlet pipe fitting model, the flow rate of each branch pipe of the dust removal pipe network system is calculated.

[0161] As can be seen, this embodiment obtains the splitting result by splitting the layout of each branch pipe included in the design drawings; and establishes a one-dimensional simulation model with the same layout as the design drawings of the dust removal pipe network system based on the splitting result, which can accurately predict the flow rate of each branch pipe of the dust removal pipe network.

[0162] As one implementation of this invention, in step S1040, based on fluid parameter information, signal element information, and the geometric boundary parameters of the pipe fitting model, the flow rate of each branch pipe model in the one-dimensional simulation model is simulated and calculated. Figure 12 As shown, it may include the following steps:

[0163] S1041, For each branch pipe model, based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model, calculate the mass flow rate, heat flux density and pipe resistance of the inlet pipe model.

[0164] Specifically, in Figure 1 In the illustrated embodiments, the formulas for calculating mass flow rate, heat flux density, and pipe resistance using one-dimensional simulation software have been explained in detail for five basic pipe fittings: straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, and valve pipe fittings. These will not be repeated here.

[0165] S1042 transmits the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model to the next pipe model via a transmission line. When calculating the mass flow rate, heat flux density, and pipe resistance of a pipe model, if the pipe model is a valve model, the calculation parameters also include the signal element information of the valve model.

[0166] S1043. Based on the fluid parameter information corresponding to the next pipe fitting model, the geometric boundary parameters of the pipe fitting model, and the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model, calculate the mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model.

[0167] S1044 transmits the mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model to the next adjacent pipe fitting model through the transmission line, and calculates the mass flow rate, heat flux density, and pipe resistance of the next adjacent pipe fitting model until the mass flow rate, heat flux density, and pipe resistance of the outlet pipe fitting model in the branch pipe model are calculated.

[0168] S1045, based on the mass flow rate, heat flux density and pipe resistance of the outlet pipe model, the flow rate of the branch pipe model is calculated.

[0169] Specifically, the transmission line can transfer physical quantities such as mass flow rate, temperature, pressure, heat flux, heat flux density, and pipe resistance between adjacent pipe fittings, satisfying the laws of conservation of mass, momentum, and energy. In other words, each pipe fitting model is equivalent to a calculation unit. First, unit calculations are performed. For a pipe fitting model, after calculating the physical quantities such as mass flow rate, heat flux, temperature, heat flux density, and pipe resistance, these physical quantities are transferred to the next pipe fitting model through the transmission line. After the next pipe fitting model absorbs these physical quantities, the mass flow rate, heat flux, temperature, heat flux density, and pipe resistance of the next pipe fitting model are calculated. Then, the mass flow rate, heat flux, temperature, heat flux density, and pipe resistance of the next pipe fitting model are transferred to the next adjacent pipe fitting model through the transmission line, until the physical quantities of the outlet pipe fitting model of the dust removal pipe network system are calculated. Based on the physical quantities of the outlet pipe fitting model, the flow rate of each branch pipe of the dust removal pipe network system is calculated.

[0170] As one implementation of this disclosure, before calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model, the dust removal pipe network flow prediction method based on a one-dimensional simulation model may further include the following steps, namely steps b1 to b4:

[0171] Step b1: Obtain the start time, end time, and time interval for saving simulation data during the simulation calculation.

[0172] Step b2, starting from the initial time, initiates the process of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model.

[0173] Step b3, after calculating the flow rate of the branch pipe model, returns to the step of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model. The simulation calculation process stops when the time consumed by the simulation calculation reaches the end time.

[0174] Step b4: Save the flow rate of the branch pipeline model at regular time intervals.

[0175] Specifically, after obtaining a one-dimensional simulation model of the pipeline system and setting the fluid parameters, fan parameters, valve parameters, and geometric boundary parameters of each pipe component model, the simulation calculation process of the one-dimensional simulation model can begin. Before performing the simulation calculation, solution control parameters can be set, which may include the start time of the simulation calculation, the end time of the simulation calculation, and the time interval for saving simulation data.

[0176] For example, the simulation start time can be set to 0 seconds, the end time to 200 seconds, and the data saving interval to 0.01 seconds. After setting the solution control parameters, the simulation can begin, simulating the flow rate of each branch pipe model in the dust removal pipeline system. In practical applications, the time required for a single simulation is very short; therefore, multiple simulations can be performed within 200 seconds to efficiently and accurately predict the flow rate of each branch of the dust removal pipeline system. The simulation can then stop after the end time. Furthermore, simulation data can be saved every 0.01 seconds, allowing the flow rate of each branch of the dust removal pipeline system to be directly obtained from the simulation results. In practical applications, operating status information such as wind speed, inlet and outlet pressure, and inlet and outlet temperature of each pipe component can also be extracted from the simulation results.

[0177] To clarify the description of the solution, the following will use a specific example to illustrate the dust removal pipeline flow prediction method based on a one-dimensional simulation model provided by the present invention.

[0178] Still with Figure 2 Taking the design drawings of the dust removal pipeline system shown as an example, such as Figure 2As shown, it contains 7 branch pipes (referred to as branch pipes in the above embodiment), powered by an induced draft fan, and the fluid medium is room temperature air.

[0179] Based on the dust removal pipeline system drawings, 25 straight pipe fittings, 6 elbow fittings, 6 reducer fittings, 6 tee fittings, 7 valves, and 4 throttling fittings can be obtained. A one-dimensional simulation model consistent with the design drawings is then created on one-dimensional simulation software, such as... Figure 9 As shown, this is a one-dimensional simulation model consistent with the design drawings. Figure 9 As shown, signal element information was set for the fan model and valve model. Simultaneously, the geometric boundary parameters for each pipe model were set. Based on the experimental operating conditions and test data, the signal elements of all valve models were set to the fully open state, i.e., valve opening degree of 100%; the fan pressure was -421.7 Pa; and the fluid medium was set to air with a density of 1.18 kg / m³. 3 The viscosity was 0.018 Pa·s, and the initial fluid temperature was 293.15 K. The start time was set to 0 s, the end time to 200 s, the data saving interval to 0.01 s, and the residual was set to 10. -7 .

[0180] The flow rates of each branch pipe obtained by iterative calculation in the embodiment and the experimental test results are shown in Table 1. Table 1 compares the simulation results and experimental test results of the embodiment (air volume, unit: m³ / s). 3 The comparison shows that the relative deviation between the two is less than 10%, indicating that the dust removal pipeline flow prediction method based on a one-dimensional simulation model proposed in this invention has high accuracy and high reliability.

[0181]

[0182] Furthermore, this solution simplifies pipe fitting parameter adjustments and supports rapid adjustment calculations for multiple scenarios and operating conditions. For example, to predict the flow rate of each branch pipe under different valve opening conditions, only the signal element needs to be adjusted; another example is adjusting the radius of curvature of a certain bend pipe fitting. r c If changes occur, only the geometric boundary parameters of the corresponding pipe fitting need to be adjusted.

[0183] As can be seen, the dust removal pipeline flow prediction method based on a one-dimensional simulation model proposed in this embodiment of the invention can quickly and accurately predict the flow of each branch pipe of the dust removal pipeline system by constructing one-dimensional simulation models of various types of pipe fittings, that is, predict the amount of air volume extracted from each dust collection hood. At the same time, adjusting the pipe fitting parameters is simple, and it supports rapid adjustment calculations for multiple schemes and multiple working conditions. It has the advantages of high design efficiency and high prediction accuracy, thus providing strong technical support for the design of dust removal pipeline systems.

[0184] Secondly, embodiments of the present invention provide a dust removal pipeline flow prediction device based on a one-dimensional simulation model, such as... Figure 13 As shown, the device includes:

[0185] The information acquisition module 1310 is used to acquire the design drawings and parameter information of the dust removal pipeline system whose flow rate is to be predicted; the design drawings include the layout diagram of each branch pipeline of the dust removal pipeline system; the parameter information includes the fluid parameter information, fan parameter information and valve parameter information of the dust removal pipeline system.

[0186] The simulation model construction module 1320 is used to decompose the layout diagram of each branch pipe included in the design drawing to obtain the decomposition result; and to establish a one-dimensional simulation model of the dust removal pipe network system based on the decomposition result; the branch pipe model in the one-dimensional simulation model corresponds one-to-one with the branch pipe in the design drawing, and the branch pipe model with the corresponding relationship is the same as the layout diagram of the branch pipe.

[0187] The parameter setting module 1330 is used to set signal element information for the target pipe fitting model of the one-dimensional simulation model based on the fan parameter information and the valve parameter information, and to set geometric boundary parameters for the corresponding pipe fitting model based on the structural parameters of each pipe fitting in the design drawings; the target pipe fitting model includes a fan model and a valve model;

[0188] The simulation calculation module 1340 is used to perform simulation calculations on the flow rate of each branch pipe model of the one-dimensional simulation model based on the fluid parameter information, the signal element information and the geometric boundary parameters of the pipe model, and to determine the total residual value of the simulation calculation process.

[0189] The flow acquisition module 1350 is used to extract the flow of each branch pipe model from the simulation results of the one-dimensional simulation model when the total residual value is less than a preset residual value, and to determine the flow of each branch pipe model as the flow of its corresponding branch pipe based on the correspondence between the branch pipe models and the branch pipes.

[0190] The simulation model construction module is specifically used to: decompose the layout diagram of each branch pipe included in the design drawings to obtain the pipe fittings included in each branch pipe;

[0191] For each branch pipe, a pipe fitting model with the same number and structure as the pipe fittings included in the branch pipe is created in the one-dimensional simulation software;

[0192] For each branch pipe, according to the layout diagram of the branch pipe, the corresponding pipe fitting model is connected by a transmission line to obtain the branch pipe model corresponding to the branch pipe; the transmission line is used to transmit the physical quantities of the adjacent pipe fitting model to the next pipe fitting model according to the fluid flow direction; the physical quantities include fluid flow rate, temperature, pressure and heat flux.

[0193] The obtained multiple branch pipe models are combined to form a one-dimensional simulation model of the dust removal pipe network system.

[0194] In one embodiment, the pipe fittings obtained by splitting the layout diagram of each branch pipe include basic pipe fittings, which include straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings, and valve pipe fittings; the simulation model construction module is specifically used to: for the target branch pipe, directly establish the basic pipe fitting model corresponding to each basic pipe fitting included in the target branch pipe; the target branch pipe is any branch pipe among the various branch pipes;

[0195] For the non-basic pipe fittings included in the target branch pipeline, multiple basic pipe fittings that can form the non-basic pipe fittings are identified, multiple basic pipe fitting models corresponding to the multiple basic pipe fittings are established, and the non-basic pipe fitting models corresponding to the non-basic pipe fittings are obtained by combining the multiple basic pipe fitting models.

[0196] In one implementation, the simulation calculation module is specifically used for:

[0197] For each branch pipe model, based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model, the mass flow rate, heat flux density and pipe resistance of the inlet pipe model are calculated.

[0198] The mass flow rate, heat flux density, and pipe resistance of the inlet pipe model are transmitted to the next pipe model via a transmission line; wherein, when calculating the mass flow rate, heat flux density, and pipe resistance of the pipe model, if the pipe model is a valve model, the calculation parameters also include the signal element information of the valve model;

[0199] Based on the fluid parameter information corresponding to the next pipe fitting model, the geometric boundary parameters of the pipe fitting model, and the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model, calculate the mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model;

[0200] The mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model are transmitted to the next adjacent pipe fitting model through the transmission line, and the mass flow rate, heat flux density, and pipe resistance of the next adjacent pipe fitting model are calculated until the mass flow rate, heat flux density, and pipe resistance of the outlet pipe fitting model in the branch pipe model are calculated.

[0201] Based on the mass flow rate, heat flux density, and pipe resistance of the outlet pipe model, the flow rate of the branch pipe model is calculated.

[0202] In one embodiment, the device further includes:

[0203] The time data acquisition module is used to acquire the start time, end time and time interval for saving simulation data before calculating the mass flow rate, heat flux density and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model.

[0204] Starting from the aforementioned start time, the simulation calculation module is initiated to execute the steps of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model;

[0205] After calculating the flow rate of the branch pipe model, the simulation calculation module is triggered to return to the step of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model; and the simulation calculation process is stopped when the time consumed by the simulation calculation process reaches the end time.

[0206] A data storage module is used to save the flow of the branch pipeline model at said time intervals.

[0207] In one embodiment, the device further includes:

[0208] The information output module is used to stop the simulation calculation process and output simulation calculation error information when the total residual value is greater than or equal to a preset residual value; the simulation calculation error information includes the erroneous geometric boundary parameters of the target pipe fitting model; the target pipe fitting model is the pipe fitting model that caused the simulation calculation error.

[0209] The information acquisition module is used to acquire the correct geometric boundary parameters of the target pipe fitting model;

[0210] The simulation calculation module is specifically used to: perform simulation calculations on the flow rate of each branch pipe model of the one-dimensional simulation model based on the fluid parameter information, the signal element information, and the correct geometric boundary parameters of the pipe model.

[0211] Thirdly, embodiments of the present invention provide an electronic device 1400, such as... Figure 14 As shown, it includes:

[0212] At least one processor 1401;

[0213] Memory 1402 for storing the at least one processor-executable instruction;

[0214] The at least one processor is configured to execute the instructions to implement a method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model.

[0215] Fourthly, embodiments of the present invention provide a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute a dust removal pipeline flow prediction method based on a one-dimensional simulation model.

[0216] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements a method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model.

[0217] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention without departing from the principles and spirit of the present invention.

Claims

1. A method for predicting the flow rate of a dust removal pipeline network based on a one-dimensional simulation model, characterized in that, The method includes: Obtain the design drawings and parameter information of the dust removal pipeline system for which the flow rate to be predicted; the design drawings include the layout diagram of each branch pipeline of the dust removal pipeline system; the parameter information includes the fluid parameter information, fan parameter information and valve parameter information of the dust removal pipeline system; The layout diagrams of each branch pipe included in the design drawings are split to obtain the splitting results; and a one-dimensional simulation model of the dust removal pipe network system is established based on the splitting results; the branch pipe models in the one-dimensional simulation model correspond one-to-one with the branch pipes in the design drawings, and the branch pipe models with corresponding relationships are the same as the layout diagrams of the branch pipes. Based on the fan parameter information and the valve parameter information, signal element information is set for the target pipe fitting model of the one-dimensional simulation model, and geometric boundary parameters are set for the corresponding pipe fitting model based on the structural parameters of each pipe fitting in the design drawings; the target pipe fitting model includes a fan model and a valve model; Based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe model, the flow rate of each branch pipe model of the one-dimensional simulation model is simulated and calculated, and the total residual value of the simulation calculation process is determined. If the total residual value is less than the preset residual value, the flow rate of each branch pipe model is extracted from the simulation results of the one-dimensional simulation model, and based on the correspondence between the branch pipe models and the branch pipes, the flow rate of each branch pipe model is determined as the flow rate of its corresponding branch pipe.

2. The method according to claim 1, characterized in that, The process involves splitting the layout of each branch pipe included in the design drawings to obtain the splitting result; and establishing a one-dimensional simulation model of the dust removal pipe network system based on the splitting result, including: The layout diagram of each branch pipe included in the design drawings is broken down to obtain the pipe fittings included in each branch pipe; For each branch pipe, a pipe fitting model with the same number and structure as the pipe fittings included in the branch pipe is created in the one-dimensional simulation software; For each branch pipe, according to the layout diagram of the branch pipe, the corresponding pipe fitting model is connected by a transmission line to obtain the branch pipe model corresponding to the branch pipe; the transmission line is used to transmit the physical quantities of the adjacent pipe fitting model to the next pipe fitting model according to the fluid flow direction; the physical quantities include fluid flow rate, temperature, pressure and heat flux. The obtained multiple branch pipe models are combined to form a one-dimensional simulation model of the dust removal pipe network system.

3. The method according to claim 2, characterized in that, The pipe fittings obtained by breaking down the layout diagram of each branch pipe include basic pipe fittings, which include straight pipe fittings, bend pipe fittings, reducer pipe fittings, tee pipe fittings and valve pipe fittings; For each branch pipe, establishing a pipe fitting model in the one-dimensional simulation software with the same number and structure as the pipe fittings included in the branch pipe includes: For the target branch pipeline, directly establish the basic pipe fitting model corresponding to each basic pipe fitting included in the target branch pipeline; the target branch pipeline is any branch pipeline among the various branch pipelines. For the non-basic pipe fittings included in the target branch pipeline, multiple basic pipe fittings that can form the non-basic pipe fittings are identified, multiple basic pipe fitting models corresponding to the multiple basic pipe fittings are established, and the non-basic pipe fitting models corresponding to the non-basic pipe fittings are obtained by combining the multiple basic pipe fitting models.

4. The method according to claim 1, characterized in that, The step of simulating and calculating the flow rate of each branch pipe model in the one-dimensional simulation model based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe fitting model includes: For each branch pipe model, based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model, the mass flow rate, heat flux density and pipe resistance of the inlet pipe model are calculated. The mass flow rate, heat flux density, and pipe resistance of the inlet pipe model are transmitted to the next pipe model via a transmission line; wherein, when calculating the mass flow rate, heat flux density, and pipe resistance of the pipe model, if the pipe model is a valve model, the calculation parameters also include the signal element information of the valve model; Based on the fluid parameter information corresponding to the next pipe fitting model, the geometric boundary parameters of the pipe fitting model, and the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model, calculate the mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model; The mass flow rate, heat flux density, and pipe resistance of the next pipe fitting model are transmitted to the next adjacent pipe fitting model through the transmission line, and the mass flow rate, heat flux density, and pipe resistance of the next adjacent pipe fitting model are calculated until the mass flow rate, heat flux density, and pipe resistance of the outlet pipe fitting model in the branch pipe model are calculated. Based on the mass flow rate, heat flux density, and pipe resistance of the outlet pipe model, the flow rate of the branch pipe model is calculated.

5. The method according to claim 4, characterized in that, Before calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe fitting model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe fitting model of the branch pipe model, the method further includes: Obtain the start time, end time, and time interval for saving simulation data during the simulation calculation; Starting from the aforementioned start time, the steps of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model are initiated. After calculating the flow rate of the branch pipe model, the process returns to the step of calculating the mass flow rate, heat flux density, and pipe resistance of the inlet pipe model based on the fluid parameter information corresponding to the branch pipe model and the geometric boundary parameters of the inlet pipe model of the branch pipe model; and stops the simulation calculation process when the time consumed by the simulation calculation process reaches the end time. The flow rate of the branch pipeline model is saved at the specified time interval.

6. The method according to any one of claims 1 to 5, characterized in that, If the total residual value is greater than or equal to a preset residual value, the method further includes: The simulation calculation process is stopped, and a simulation calculation error message is output; the simulation calculation error message includes the erroneous geometric boundary parameters of the target pipe fitting model; the target pipe fitting model is the pipe fitting model that caused the simulation calculation error. Obtain the correct geometric boundary parameters of the target pipe fitting model; The step of simulating and calculating the flow rate of each branch pipe model in the one-dimensional simulation model based on the fluid parameter information, the signal element information, and the geometric boundary parameters of the pipe fitting model includes: Based on the fluid parameter information, the signal element information, and the correct geometric boundary parameters of the pipe fitting model, the flow rate of each branch pipe model of the one-dimensional simulation model is simulated and calculated.

7. A dust removal pipeline flow prediction device based on a one-dimensional simulation model, characterized in that, The device includes: The information acquisition module is used to acquire the design drawings and parameter information of the dust removal pipeline system whose flow rate is to be predicted; the design drawings include the layout diagram of each branch pipeline of the dust removal pipeline system; the parameter information includes the fluid parameter information, fan parameter information and valve parameter information of the dust removal pipeline system. The simulation model construction module is used to decompose the layout diagram of each branch pipe included in the design drawing to obtain the decomposition result; and to establish a one-dimensional simulation model of the dust removal pipe network system based on the decomposition result; the branch pipe model in the one-dimensional simulation model corresponds one-to-one with the branch pipe in the design drawing, and the branch pipe model with the corresponding relationship is the same as the layout diagram of the branch pipe. The parameter setting module is used to set signal element information for the target pipe fitting model of the one-dimensional simulation model based on the fan parameter information and the valve parameter information, and to set geometric boundary parameters for the corresponding pipe fitting model based on the structural parameters of each pipe fitting in the design drawings; the target pipe fitting model includes a fan model and a valve model; The simulation calculation module is used to perform simulation calculations on the flow rate of each branch pipe model of the one-dimensional simulation model based on the fluid parameter information, the signal element information and the geometric boundary parameters of the pipe model, and to determine the total residual value of the simulation calculation process. The flow acquisition module is used to extract the flow of each branch pipe model from the simulation results of the one-dimensional simulation model when the total residual value is less than a preset residual value, and to determine the flow of each branch pipe model as the flow of its corresponding branch pipe based on the correspondence between the branch pipe models and the branch pipes.

8. An electronic device, characterized in that, include: At least one processor; Memory for storing the at least one processor-executable instruction; The at least one processor is configured to execute the instructions to implement the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is enabled to perform the method as described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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