Pretreatment method and system suitable for pipe network simulation

Abstract

The application provides a preprocessing method and system suitable for pipe network simulation, and the method comprises the following steps: establishing a pipe network simulation model, and obtaining the operation heat transfer coefficient of a pipeline under the temperature of corresponding fluid; determining the theoretical heat transfer coefficient of the pipeline under different fluid temperatures according to a preset function relationship of the pipeline, and determining a heat transfer coefficient deviation value; establishing the temperature simulation model according to the simulation temperature parameters of the pipeline under different fluid temperatures, obtaining actual temperature parameters, and obtaining a temperature parameter deviation value; and optimizing the temperature simulation model based on the temperature parameter deviation value and the heat transfer coefficient deviation value, so as to obtain the pipe network heat transfer simulation model. The application can effectively simulate and analyze the temperature change of the pipeline and the fluid, improve the accuracy of the output result of the model, and greatly improve the output efficiency of the analysis result of the model.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a preprocessing method and system suitable for pipeline network simulation. Background Technology

[0002] Currently, SCADA systems have become a standard feature in newly built natural gas pipeline systems and have also been gradually applied to older pipelines during various upgrades and renovations. SCADA systems enable the acquisition of a large amount of real-time operational data, allowing for remote measurement and control of the pipeline system.

[0003] As an important foundation and key technology for pipeline network analysis, pipeline system simulation has been widely and deeply applied in recent years, which also proves that pipeline network simulation technology is an indispensable and important technology in pipeline network system planning and design, scheduling management and operation control.

[0004] Chinese Patent Publication No. CN109344436A discloses an online simulation method for a large and complex natural gas pipeline network system. The method first establishes a pipeline network simulation model and connects it to SCADA data. Then, real-time data is correlated with the simulation model for static simulation, followed by online simulation. This describes the flow state, distribution, and changes of the pipeline network at various moments under real-time conditions, as well as the response and changes of various operations, controls, and events. It provides hydraulic and thermodynamic trends, solves the problem using the Newton-Raphson iterative method, and calculates layer by layer to ultimately obtain a dynamic simulation of the pipeline's real-time state. This invention achieves online simulation, tracking real-time hydraulic changes such as pressure, flow rate, and velocity in the pipeline network system, thermodynamic conditions such as temperature, and fluid property changes such as velocity, density, viscosity, sound velocity, entropy, and enthalpy, as well as real-time pressure changes at pipe locations and special points.

[0005] Chinese Patent Publication No. CN114385585A discloses an oil and gas pipeline network simulation system and method, including: a data module, a function module, and a result module. The data module is used to acquire the first current operating status data of each preset element of the oil and gas pipeline network. The function module is used to combine the first current operating status data of each preset element into the geometric model corresponding to the oil and gas pipeline network and perform simulation calculations to obtain the second current operating status data of the oil and gas pipeline network. The result module is used to store the second current operating status data.

[0006] In existing technologies, it is not possible to effectively simulate and analyze the temperature changes of pipes and fluids when establishing pipeline network simulation models. Summary of the Invention

[0007] This invention provides a preprocessing method and system suitable for pipeline network simulation, aiming to solve the problem that existing pipeline network simulation models cannot effectively simulate and analyze the temperature changes of pipelines and fluids.

[0008] In one aspect, the present invention proposes a preprocessing method suitable for pipeline network simulation, comprising: Based on the topology of the pipeline network, a pipeline is selected at any pipeline node, and several monitoring points are determined on the pipeline. The operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation is obtained. Based on the obtained operating thermal resistance of each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained. Based on the preset functional relationship of the pipeline, the theoretical heat transfer coefficient of the pipeline at different fluid temperatures is determined, and the operating heat transfer coefficient is compared with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient. Based on the simulated temperature parameters of the pipeline under different fluid temperatures, a temperature simulation model of the pipeline network is established. The actual temperature parameters of the pipeline under different fluid temperatures are also obtained, and the temperature parameter deviation values ​​between the simulated temperature parameters and the actual temperature parameters under the same fluid temperature are obtained. Based on the temperature parameter deviation and heat transfer coefficient deviation, the temperature simulation model is optimized to obtain the pipeline heat transfer simulation model.

[0009] Furthermore, at any pipeline node, a pipeline is selected, and several monitoring points are determined on the pipeline. The operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation is obtained, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

[0010] Furthermore, the process of determining the number of monitoring points includes: Obtain the surface area Q of the pipe, where Q = πRH, Where H is the outer diameter of the pipe, and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline; After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k=1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

[0011] Furthermore, the process of setting up monitoring points includes: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. Obtain the outer diameter of the pipe The relationship between the ratio of length H and the preset ratios determines the spacing between two adjacent monitoring points: When H / When ≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / When ≤C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / When ≤C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / When the time is right, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

[0012] Furthermore, based on the obtained operating thermal resistance at each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

[0013] On the other hand, the present invention also proposes a preprocessing system suitable for pipeline network simulation, comprising: The first data module is used to select a pipeline at any pipeline node based on the topology of the pipeline network, determine several monitoring points on the pipeline, obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, and obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature based on the obtained operating thermal resistance of each monitoring point. The second data module is used to determine the theoretical heat transfer coefficient of the pipeline at different fluid temperatures based on the preset functional relationship of the pipeline, and to compare the operating heat transfer coefficient with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient. The first processing module is used to establish a temperature simulation model of the pipeline network based on the simulated temperature parameters of the pipeline under different fluid temperatures, and also to obtain the actual temperature parameters of the pipeline under different fluid temperatures, and to obtain the temperature parameter deviation values ​​between all simulated temperature parameters and actual temperature parameters under the same fluid temperature. The second processing module is used to optimize the temperature simulation model based on the temperature parameter deviation value and the heat transfer coefficient deviation value to obtain the pipeline heat transfer simulation model.

[0014] Furthermore, the first data module is also used to select a pipeline at any pipeline network node, determine several monitoring points on the pipeline, and obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

[0015] Furthermore, the process by which the first data module determines the number of monitoring points includes: Obtain the surface area Q of the pipe, where Q = πRH, Where H is the outer diameter of the pipe, and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline; After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k=1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

[0016] Furthermore, the process by which the first data module determines the setting of monitoring points includes: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. Obtain the outer diameter of the pipe The relationship between the ratio of length H and the preset ratios determines the spacing between two adjacent monitoring points: When H / When ≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / When ≤C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / When ≤C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / When the time is right, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

[0017] Furthermore, the first data module is also used to obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature based on the obtained operating thermal resistance of each monitoring point, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: by establishing a pipeline network simulation model, the operating thermal resistance of the pipeline at various monitoring points under different fluid temperatures during actual operation is obtained; based on the obtained operating thermal resistance of each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained; according to the preset functional relationship of the pipeline, the theoretical heat transfer coefficient of the pipeline under different fluid temperatures is determined, and the operating heat transfer coefficient is compared with the theoretical heat transfer coefficient to determine the heat transfer coefficient deviation value; based on the simulated temperature parameters of the pipeline under different fluid temperatures, the temperature simulation model is established, and the actual temperature parameters of the pipeline under different fluid temperatures are also obtained, and the temperature parameter deviation values ​​between all simulated temperature parameters and actual temperature parameters under the same fluid temperature are obtained; based on the temperature parameter deviation value and the heat transfer coefficient deviation value, the temperature simulation model is optimized to obtain the pipeline network heat transfer simulation model. This invention optimizes the simulation data and actual data to obtain an optimized pipeline heat transfer simulation model. Based on the pipeline heat transfer simulation model, the heat transfer and temperature changes of pipes and fluids in the pipeline network can be effectively analyzed. This not only enables effective temperature simulation analysis of temperature changes in pipes and fluids, improving the accuracy of model output results, but also greatly improves the output efficiency of model analysis results. Attached Figure Description

[0019] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart illustrating a preprocessing method for pipeline network simulation provided in an embodiment of the present invention; Figure 2 This is a functional block diagram of a preprocessing system for pipeline network simulation provided in an embodiment of the present invention. Detailed Implementation

[0020] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0021] See Figure 1 As shown, this embodiment of the invention provides a preprocessing method suitable for pipeline network simulation, including the following steps: Step S100: Establish a pipeline network simulation model, which includes a temperature simulation model and a pipeline network heat transfer simulation model. Based on the pipeline network topology, select a pipeline at any pipeline network node and determine several monitoring points on the pipeline. Obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation. Based on the obtained operating thermal resistance of each monitoring point, obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature.

[0022] Specifically, in this embodiment, the fluid is preferably natural gas. Different fluid temperatures are equivalent to different temperatures of natural gas.

[0023] Specifically, in this embodiment, the pipeline network can be simulated using SPS (Stoner Pipeline Simulator) software to establish a pipeline network simulation model. Real-time data of the pipeline network operation can be collected through the SCADA (Supervisory Control And Data Acquisition) system and fed back to the SPS software to obtain the pipeline network operation data.

[0024] Specifically, when establishing the pipeline network simulation model, a temperature simulation model and a pipeline network heat transfer simulation model are established separately. Both the temperature simulation model and the pipeline network heat transfer simulation model can be established using SPS.

[0025] Specifically, operating thermal resistance is the thermal resistance of a pipeline under different fluid temperatures; that is, the thermal resistance of the pipeline when natural gas at different temperatures flows through it during operation. The operating heat transfer coefficient is the ratio of the heat transferred through the pipeline during operation to the operating thermal resistance. The heat transferred through the pipeline is calculated using the following formula: Q = kA(△T / L), where Q is the heat transferred by the pipe, k is the thermal conductivity of the pipe, k is determined according to the material of the pipe, A is the preset area of ​​one of the monitoring points, A is determined according to the number of monitoring points on the pipe, △T is the temperature difference between the inner and outer walls of the pipe at one of the monitoring points on the pipe, and L is the thickness of the pipe wall.

[0026] Step S200: Based on the preset functional relationship of the pipeline, determine the theoretical heat transfer coefficient of the pipeline at different fluid temperatures, and compare the operating heat transfer coefficient with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient.

[0027] Specifically, the preset functional relationship of the pipeline is the functional relationship between the theoretical heat transfer coefficient and the dimensionless parameter. That is, the operating heat transfer coefficient is the value obtained under actual pipeline operation, while the theoretical heat transfer coefficient is the value calculated based on theoretical data. The calculation methods for the operating heat transfer coefficient and the theoretical heat transfer coefficient are the same; the difference lies in the data acquisition methods: the operating heat transfer coefficient is based on actual operating data, while the theoretical heat transfer coefficient is based on theoretical data.

[0028] Step S300: Based on the simulated temperature parameters of the pipeline under different fluid temperatures, establish the temperature simulation model, obtain the actual temperature parameters of the pipeline under different fluid temperatures, and obtain the temperature parameter deviation values ​​between all simulated temperature parameters and actual temperature parameters under the same fluid temperature.

[0029] Specifically, the simulated temperature parameters are the temperature information input into the model to simulate the pipeline. The actual temperature parameters are the temperature information collected when the pipeline is actually in use. The temperature parameter deviation value is the difference between the simulated temperature parameters and the actual temperature parameters.

[0030] Step S400: Based on the temperature parameter deviation value and the heat transfer coefficient deviation value, optimize the temperature simulation model to obtain the pipeline heat transfer simulation model.

[0031] Specifically, the pipeline heat transfer simulation model is obtained by optimizing the temperature simulation model through the deviation values ​​of temperature parameters and heat transfer coefficients.

[0032] As can be seen, this implementation optimizes the simulation data and actual data to obtain an optimized pipeline heat transfer simulation model. Based on the pipeline heat transfer simulation model, the heat transfer and temperature changes of the pipes and fluids in the pipeline network can be effectively analyzed. This not only enables effective temperature simulation analysis of the temperature changes of the pipes and fluids, improving the accuracy of the model output results, but also greatly improves the output efficiency of the model analysis results.

[0033] Specifically, a pipeline is selected at any pipeline network node, and several monitoring points are determined on the pipeline. The operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation is obtained, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

[0034] Specifically, a plurality of monitoring points are set on the outer wall of the pipe according to the surface area, including: Obtain the surface area Q of the pipe, where Q = πRH, Where H is the outer diameter of the pipe, and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline.

[0035] After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k=1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

[0036] Specifically, after setting Wk monitoring points on the outer wall of the pipeline, the following is included: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. Obtain the outer diameter of the pipe The relationship between the ratio of length H and the preset ratios determines the spacing between two adjacent monitoring points: When H / When ≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / When ≤C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / When ≤C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / When the time is right, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

[0037] Specifically, when calculating the heat Q of heat conduction in the pipeline, and after selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, the preset area A of a certain monitoring point is determined according to the following steps: The k-th preset interval Lk is determined to be the interval between two adjacent monitoring points, k=1, 2, 3, 4, and the first preset radius r1, the second preset radius r2, the third preset radius r3 and the fourth preset radius r4 are preset, and r1<r2<r3<r4; The radius of the preset area A of the monitoring points is determined based on the distance Lk between two adjacent monitoring points: When r4 < Lk / 2, the fourth preset radius r4 is selected as the radius of the preset area A of the monitoring point; When r3 < Lk / 2 ≤ r4, the third preset radius r3 is selected as the radius of the preset area A of the monitoring point; When r2 < Lk / 2 ≤ r3, the second preset radius r2 is selected as the radius of the preset area A of the monitoring point; When r1 < Lk / 2 ≤ r2, the first preset radius r1 is selected as the radius of the preset area A of the monitoring point; When Lk / 2≤r1, the radius of the preset area A of the monitoring point is set to Lk / 3.

[0038] Specifically, after determining the radius of the preset area A of the monitoring point, the preset area A is calculated, i.e., A = πr0 2 r0 can be r1, r2, r3, r4 or Lk / 3.

[0039] Specifically, based on the operating thermal resistance obtained at each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

[0040] Specifically, based on the pre-defined functional relationship of the pipeline, the theoretical heat transfer coefficient of the pipeline at different fluid temperatures is determined, including: Obtain the pipe temperature under different fluid temperatures; Dimensionless parameters of the pipeline under different fluid temperatures are obtained based on the pipeline temperature. The theoretical heat transfer coefficient is obtained based on the functional relationship of the pipeline, the pipeline temperature, and dimensionless parameters.

[0041] Specifically, obtaining the pipe wall thermal resistance and convective thermal resistance at the same monitoring point on the same pipe under different fluid temperatures includes: The thermal resistance of the pipe wall at the same monitoring point on the same pipe under different fluid temperatures can be calculated using the following formula: in, Let n be the thermal resistance of the pipe wall at the nth monitoring point on the pipeline. For the pipe wall thickness, The outer diameter of the pipe. The inner diameter of the pipe. Let be the heat transfer coefficient of the pipe wall at the nth monitoring point on the pipeline. Let be the contact area between the fluid and the pipe wall at the nth monitoring point on the pipeline. This indicates the location of the nth monitoring point. The thermal resistance attenuation coefficient at the location where the fluid is fully covered, when the location ( When the position is within the full fluid coverage area, the corresponding thermal resistance attenuation coefficient is 0.01; when the position ( When the location is not within the full fluid coverage area, the corresponding thermal resistance attenuation coefficient is: ,in, This indicates the highest critical position for full fluid coverage. Indicates the corresponding normal length; This represents the normal attenuation coefficient for the corresponding normal length.

[0042] Specifically, the convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures is calculated using the following formula: in, Let i be the convective heat transfer thermal resistance. Let be the surface convective heat transfer coefficient of the i-th monitoring point. The surface temperature of the pipe. For fluid temperature, The area corresponding to the i-th monitoring point; Let be the convective heat transfer coefficient of the inner circular surface corresponding to the i-th monitoring point; Let be the area of ​​the inner circle corresponding to the i-th monitoring point; Let be the heat flow measured at the i-th monitoring point.

[0043] Specifically, comparing the operating heat transfer coefficient with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient includes: The heat transfer corresponding to the operating heat transfer coefficient and the heat transfer corresponding to the theoretical heat transfer coefficient are obtained. The difference between the heat transfer corresponding to the operating heat transfer coefficient and the heat transfer corresponding to the theoretical heat transfer coefficient is taken as the heat transfer coefficient deviation value.

[0044] Specifically, based on the simulated temperature parameters of the pipeline under different fluid temperature conditions, the temperature simulation model is established, including: Obtain simulated temperature values ​​of the pipe wall under different fluid temperatures, and input the fluid temperature and simulated temperature values ​​into the pre-established model to construct temperature logic control nodes; The pipeline pressure, flow rate, fluid density, fluid velocity, and ambient temperature parameters are obtained when the fluid flows through the pipeline. This yields a set of pipeline operating condition parameters. After adapting the set of pipeline operating condition parameters to the temperature logic control node, a temperature simulation model under the same fluid temperature is constructed.

[0045] Specifically, based on the temperature parameter deviation and heat transfer coefficient deviation, the temperature simulation model is optimized to obtain the pipe network heat transfer simulation model, including: Obtain the simulation parameter set and heat transfer parameter set for fluid flow inside the pipe in the temperature simulation model. Perform correlation spatial domain mapping between the simulation parameter set and the heat transfer parameter set. Determine the correlation index between the simulation parameter index and the heat transfer parameter index of the temperature simulation model based on the mapping result. Construct the dependence function of temperature parameter deviation on heat transfer deviation based on the correlation index. Obtain the pipe internal parameter set at different time periods under the same fluid temperature, construct the pipe internal model at the corresponding time period based on the pipe internal parameter set, determine the local optimization information of each internal model based on the dependency function, and determine the global optimization information to improve the temperature simulation model based on the local optimization information of each internal model. Obtain the first fitting curve based on parameter deviation and the second fitting curve based on heat transfer deviation. Based on global optimization information, the first fitting curve, and the second fitting curve, construct a model optimization function. Optimize the logic control nodes matched in the initial model based on the model optimization function to obtain the pipeline heat transfer simulation model.

[0046] Specifically, spatial domain mapping refers to the mapping relationship between the simulation parameter set and the heat transfer parameter set of the pipeline at the same fluid temperature. The dependency function is that heat transfer deviation determines parameter deviation, therefore the parameter deviation is dependent on the heat transfer deviation. The correlation index is the correlation between the simulation parameter set and the heat transfer parameter set; that is, the stronger the causal relationship between the two, the greater the correlation.

[0047] See Figure 2 As shown, in another preferred embodiment based on the above embodiments, this embodiment provides a preprocessing system suitable for pipeline network simulation, including: The first data module is used to establish a pipeline network simulation model. The pipeline network simulation model includes a temperature simulation model and a pipeline network heat transfer simulation model. Based on the pipeline network topology, a pipeline is selected at any pipeline network node, and several monitoring points are determined on the pipeline. The operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation is obtained. Based on the obtained operating thermal resistance of each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained. The second data module is used to determine the theoretical heat transfer coefficient of the pipeline at different fluid temperatures based on the preset functional relationship of the pipeline, and to compare the operating heat transfer coefficient with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient. The first processing module is used to establish the temperature simulation model based on the simulated temperature parameters of the pipeline under different fluid temperatures, and also to obtain the actual temperature parameters of the pipeline under different fluid temperatures, and to obtain the temperature parameter deviation values ​​between all simulated temperature parameters and actual temperature parameters under the same fluid temperature. The second processing module is used to optimize the temperature simulation model based on the temperature parameter deviation value and the heat transfer coefficient deviation value to obtain the pipeline heat transfer simulation model.

[0048] Specifically, the first data module is further configured to select a pipeline at any pipeline network node, determine several monitoring points on the pipeline, and obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

[0049] Specifically, the first data module is further configured to set a plurality of monitoring points on the outer wall of the pipe according to the surface area, including: Obtain the surface area Q of the pipe, where Q = πRH, Where H is the outer diameter of the pipe, and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline; After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k=1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

[0050] Specifically, the first data module is further configured to set Wk monitoring points on the outer wall of the pipeline, including: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. Obtain the outer diameter of the pipe The relationship between the ratio of length H and the preset ratios determines the spacing between two adjacent monitoring points: When H / When ≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / When ≤C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / When ≤C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / When the time is right, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

[0051] Specifically, the first data module is further configured to obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature based on the obtained operating thermal resistance at each monitoring point, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

[0052] As can be seen, the above embodiments optimize the deviation between simulated data and actual data to obtain an optimized pipeline heat transfer simulation model. Based on the pipeline heat transfer simulation model, the heat transfer and temperature changes of pipes and fluids in the pipeline network can be effectively analyzed. This not only enables effective temperature simulation analysis of temperature changes in pipes and fluids, improving the accuracy of model output results, but also greatly improves the output efficiency of model analysis results.

[0053] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0055] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0056] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A preprocessing method suitable for pipeline network simulation, characterized in that, include: Based on the topology of the pipeline network, a pipeline is selected at any pipeline node, and several monitoring points are determined on the pipeline. The operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation is obtained. Based on the obtained operating thermal resistance of each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained. Based on the preset functional relationship of the pipeline, the theoretical heat transfer coefficient of the pipeline at different fluid temperatures is determined, and the operating heat transfer coefficient is compared with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient. Based on the simulated temperature parameters of the pipeline under different fluid temperatures, a temperature simulation model of the pipeline network is established. The actual temperature parameters of the pipeline under different fluid temperatures are also obtained, and the temperature parameter deviation values ​​between the simulated temperature parameters and the actual temperature parameters under the same fluid temperature are obtained. Based on the temperature parameter deviation and heat transfer coefficient deviation, the temperature simulation model is optimized to obtain the pipeline heat transfer simulation model.

2. The preprocessing method for pipeline network simulation according to claim 1, characterized in that, Select a pipeline at any network node and determine several monitoring points on the pipeline. Obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

3. The preprocessing method for pipeline network simulation according to claim 2, characterized in that, The process of determining the number of monitoring points includes: Obtain the surface area Q of the pipe, Q = πRH, where R is the outer diameter of the pipe and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline; After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k = 1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

4. The preprocessing method for pipeline network simulation according to claim 3, characterized in that, The process of setting up monitoring points includes: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. The relationship between the ratio of the pipe's outer diameter R to its length H and various preset ratios is used to determine the spacing between two adjacent monitoring points. When H / R≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / R ≤ C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / R ≤ C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / R, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

5. The preprocessing method for pipeline network simulation according to claim 1, characterized in that, Based on the obtained operating thermal resistance at each monitoring point, the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature is obtained, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

6. A preprocessing system suitable for pipeline network simulation, characterized in that, include: The first data module is used to select a pipeline at any pipeline node based on the topology of the pipeline network, determine several monitoring points on the pipeline, obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, and obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature based on the obtained operating thermal resistance of each monitoring point. The second data module is used to determine the theoretical heat transfer coefficient of the pipeline at different fluid temperatures based on the preset functional relationship of the pipeline, and to compare the operating heat transfer coefficient with the theoretical heat transfer coefficient to determine the deviation value of the heat transfer coefficient. The first processing module is used to establish a temperature simulation model of the pipeline network based on the simulated temperature parameters of the pipeline under different fluid temperatures, and also to obtain the actual temperature parameters of the pipeline under different fluid temperatures, and to obtain the temperature parameter deviation values ​​between all simulated temperature parameters and actual temperature parameters under the same fluid temperature. The second processing module is used to optimize the temperature simulation model based on the temperature parameter deviation value and the heat transfer coefficient deviation value to obtain the pipeline heat transfer simulation model.

7. The preprocessing system for pipeline network simulation according to claim 6, characterized in that, The first data module is further configured to select a pipeline at any pipeline network node, determine several monitoring points on the pipeline, and obtain the operating thermal resistance of the pipeline at each monitoring point under different fluid temperatures during actual operation, including: Calculate the surface area of ​​the outer wall of the pipe, and set a number of monitoring points on the outer wall of the pipe according to the surface area; Determine the wall thickness of the pipe at each of the monitoring points, and determine the heat transfer per unit area, surface temperature, and fluid temperature at each monitoring point on the same pipe under different fluid temperatures; Based on the obtained heat transfer, surface temperature, and fluid temperature, the pipe wall heat transfer resistance and convective heat transfer resistance at the same monitoring point on the same pipe under different fluid temperatures are obtained.

8. The preprocessing system for pipeline network simulation according to claim 7, characterized in that, The process by which the first data module determines the number of monitoring points includes: Obtain the surface area Q of the pipe, Q = πRH, where R is the outer diameter of the pipe and H is the length of the pipe; A first preset surface area Q1, a second preset surface area Q2, and a third preset surface area Q3 are preset, and Q1 < Q2 < Q3; a first preset number of monitoring points W1, a second preset number of monitoring points W2, a third preset number of monitoring points W3, and a fourth preset number of monitoring points W4 are preset, and W1 < W2 < W3 < W4. The number of monitoring points to be set on the outer wall of the pipe is determined based on the relationship between the surface area Q of the pipe and each preset surface area: When Q≤Q1, the first preset number of monitoring points W1 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q1 < Q ≤ Q2, the second preset number of monitoring points W2 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q2 < Q ≤ Q3, the third preset number of monitoring points W3 is selected as the number of monitoring points set on the outer wall of the pipeline; When Q3 < Q, the fourth preset number of monitoring points W4 is selected as the number of monitoring points set on the outer wall of the pipeline; After selecting the k-th preset number of monitoring points Wk as the number of monitoring points to be set on the outer wall of the pipeline, k = 1, 2, 3, 4, then Wk monitoring points are set on the outer wall of the pipeline.

9. The preprocessing system for pipeline network simulation according to claim 8, characterized in that, The process by which the first data module determines the setting of monitoring points includes: A first preset ratio C1, a second preset ratio C2, and a third preset ratio C3 are preset, and C1 < C2 < C3; a first preset spacing L1, a second preset spacing L2, a third preset spacing L3, and a fourth preset spacing L4 are preset, and L1 < L2 < L3 < L4. The relationship between the ratio of the pipe's outer diameter R to its length H and various preset ratios is used to determine the spacing between two adjacent monitoring points. When H / R≤C1, the first preset spacing L1 is selected as the spacing between two adjacent monitoring points; When C1 < H / R ≤ C2, the second preset spacing L2 is selected as the spacing between two adjacent monitoring points; When C2 < H / R ≤ C3, the third preset spacing L3 is selected as the spacing between two adjacent monitoring points; When C3 < H / R, the fourth preset spacing L4 is selected as the spacing between two adjacent monitoring points.

10. The preprocessing system for pipeline network simulation according to claim 6, characterized in that, The first data module is further configured to obtain the operating heat transfer coefficient of the pipeline at the corresponding fluid temperature based on the obtained operating thermal resistance at each monitoring point, including: Determine the average value of all operating thermal resistances in the same pipe at the same fluid temperature; Obtain the fluid parameters of the pipeline and the surface temperature of the pipeline wall at the same fluid temperature; The operating heat transfer coefficient of the pipeline is obtained based on the average value, fluid parameters, and pipe wall surface temperature.

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