A processing method and device for an air compressor system, and a medium

Abstract

The application discloses a kind of air compressor system processing method, device, medium, it is related to in air compressor system technical field.The air compressor system model is adjusted to input the flow parameter and threshold pressure parameter of each gas point;The output parameter of air compression station in air compressor system model is obtained, and the output parameter is used as the optimized pressure parameter of air compression station.According to the air compressor system model and the flow parameter and threshold pressure parameter of real-time gas point, the pressure parameter of air compressor can be obtained, and the air compressor system model is determined according to the pipeline flow, pressure relationship and the constraint relationship of each node.When the demand of gas point changes, the pressure parameter of air compressor can be optimized according to the model, to avoid the waste problem caused by the optimization that cannot be realized by setting higher pressure parameter to meet the gas demand of each gas point, the application reduces waste and saves energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air compressor system, in particular to an air compressor system processing method, device and medium. BACKGROUND

[0002] Air compressor is driven by common motor or combustion engine, and does work on gas to compress the gas, thereby increasing the pressure of the gas. The compressed gas is delivered to pneumatic equipment through pipeline for use. A typical air compressor system includes a gas production end, a pipeline and a gas use end. The gas production end is mainly composed of an air compressor and a dryer, and is used to produce the required compressed air. The produced compressed air overcomes the resistance in the pipeline transportation process and reaches the gas use end to meet the gas use demand of each gas use point.

[0003] In an aluminum electrolysis plant, the main gas use points include an aluminum electrolysis workshop, an anode assembly workshop and a material handling point. The current plant generally sets a relatively high compressed air supply pressure to ensure that the gas use demand of each gas use point is met. When there is no gas use demand at the gas use point, the exhaust pressure will rise, and then the air compressor venting mechanism is triggered to directly discharge the compressed air to the atmosphere, thereby causing waste.

[0004] Therefore, how to reduce the energy loss of the compressed air system is an urgent problem to be solved by those skilled in the art. SUMMARY

[0005] The purpose of the present application is to provide an air compressor system processing method, device and medium, which can avoid the waste problem caused by the fact that the existing method cannot realize optimization by setting a relatively high pressure parameter to meet the gas use demand of each gas use point, and reduce waste and save energy consumption.

[0006] To solve the above technical problems, the present application provides an air compressor system processing method, comprising:

[0007] obtaining the flow parameter and the threshold pressure parameter of each gas use point in the air compressor system;

[0008] inputting the flow parameter and the threshold pressure parameter of each gas use point into the air compressor system model;

[0009] obtaining the output parameter of the air compression station in the air compressor system model, and taking the output parameter as the optimized pressure parameter of the air compression station;

[0010] wherein the air compressor system model is determined according to the constraint relationship and the pipeline flow and pressure relationship of the pipeline component, the constraint relationship is the constraint relationship of each node between the pressure source component, each pressure sink component and the pipeline component, and is determined by the flow and pressure conservation law of each node;

[0011] The pressure source assembly, the pressure sink assemblies and the pipeline assembly are mapped by the air compression station in the air compressor system, the air use points and the pipeline between the air compression station and the air use points respectively.

[0012] Preferably, the determination of the pipeline flow-pressure relationship specifically comprises:

[0013] Obtaining the to-be-inlet pressure parameter, the to-be-outlet pressure parameter and the to-be-standard-volume-flow parameter corresponding to the pipeline assembly;

[0014] Obtaining the flow control equation of the pipeline assembly by the fluid mass conservation equation and the NS equation based on the to-be-inlet pressure parameter, the to-be-outlet pressure parameter and the to-be-standard-volume-flow parameter;

[0015] Obtaining the resistance coefficient of the pipeline assembly and determining the relationship between the resistance coefficient and the to-be-standard-volume-flow parameter to obtain the resistance flow equation;

[0016] Determining the pipeline flow-pressure relationship according to the relationship between the flow control equation and the resistance flow equation.

[0017] Preferably, the determination of the constraint relationship specifically comprises:

[0018] Obtaining the air flow direction of the pipeline assembly corresponding to each node;

[0019] Determining the pressure relationship of each node according to the air flow direction, the pressure parameters of the pressure source assembly, the pressure sink assemblies and the pipeline assembly corresponding to each node and the pressure conservation law;

[0020] Determining the flow relationship of each node according to the flow parameters of the pressure source assembly, the pressure sink assemblies and the pipeline assembly corresponding to each node and the flow conservation law;

[0021] Determining the constraint relationship of each node according to the pressure relationship and the flow relationship.

[0022] Preferably, the determination of the resistance coefficient specifically comprises:

[0023] Deforming the pipeline flow-pressure relationship according to the actual pressure data of the pressure source assembly, the pressure sink assemblies and the actual standard-volume-flow data of the corresponding pipeline assembly to obtain the current error function, wherein the actual standard-volume-flow data is determined according to the constraint relationship, the actual pressure data of the pressure source assembly and the pressure sink assemblies;

[0024] Calling each current error function of each pressure sink assembly corresponding to the pressure source assembly.

[0025] summing up each of the current error functions to obtain a total error function;

[0026] obtaining a current preset resistance coefficient;

[0027] inputting the current preset resistance coefficient, the pressure source assembly, actual pressure data of each of the pressure sink assemblies, and actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value;

[0028] performing minimization processing on the total error function according to the current error value and the current preset resistance coefficient to obtain a target function;

[0029] determining that the processed resistance coefficient is a final resistance coefficient according to the target function.

[0030] Preferably, the performing minimization processing on the total error function according to the current error value and the current preset resistance coefficient to obtain a target function comprises:

[0031] inputting the current error value and the current preset resistance coefficient into the total error function to obtain a corresponding current difference result;

[0032] adjusting the current preset resistance coefficient according to the current difference result to obtain a new current preset resistance coefficient, and returning to the inputting step until the current error value is less than a threshold value;

[0033] when the current error is less than the threshold value, the corresponding total error function is the target function;

[0034] wherein the adjusting the current preset resistance coefficient according to the current difference result to obtain a new current preset resistance coefficient comprises:

[0035] in the case that the current difference result is greater than 0, decreasing a preset step on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient;

[0036] in the case that the current difference result is less than 0, increasing the preset step on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient.

[0037] Preferably, the method further comprises:

[0038] acquiring a current pressure parameter of the air compression station;

[0039] loading the air compressor system model to input the current pressure parameter;

[0040] acquiring a current pressure parameter of each air consumption point output by the air compressor system model;

[0041] determining whether the current pressure parameter of each air consumption point meets a preset requirement, wherein the preset requirement is that the number of the current pressure parameter of each air consumption point reaching the threshold pressure parameter reaches a preset number;

[0042] if yes, the current pressure parameter is taken as a final pressure parameter;

[0043] if no, a descending step is determined by a piecewise descending method;

[0044] a next current pressure parameter is determined according to the current pressure parameter and the descending step, and the step of loading the air compressor system model to input the current pressure parameter is returned to.

[0045] Preferably, the number of the air compression stations is at least one.

[0046] The air consumption points at least include a maintenance workshop, a ladle lifting workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material handling point.

[0047] To solve the above technical problems, the application further provides a processing device of an air compressor system, comprising:

[0048] an acquiring module for acquiring a flow parameter and a threshold pressure parameter of each air consumption point in an air compressor system;

[0049] a loading module for loading an air compressor system model to input the flow parameter and the threshold pressure parameter of each air consumption point;

[0050] an output module for acquiring an output parameter of an air compression station of the air compressor system model, and taking the output parameter as an optimized pressure parameter of the air compression station;

[0051] wherein the air compressor system model is determined according to a constraint relationship and a pipe flow and pressure relationship of a pipe assembly, the constraint relationship is a constraint relationship of each node between a pressure source assembly, each pressure sink assembly and the pipe assembly, and is determined by each node and a flow and pressure conservation law;

[0052] the pressure source assembly, each pressure sink assembly and the pipe assembly are respectively mapped by the air compression station, each air consumption point and a pipe between the air compression station and each air consumption point in the air compressor system.

[0053] To solve the above technical problems, the application further provides a processing device of an air compressor system, comprising a memory for storing a computer program;

[0054] A processor is configured to execute the computer program to implement the steps of the processing method of the air compressor system.

[0055] To solve the above technical problems, the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the processing method of the air compressor system.

[0056] The application provides a processing method of an air compressor system, comprising: obtaining flow parameters and threshold pressure parameters of each air consumption point in the air compressor system; inputting the flow parameters and the threshold pressure parameters of each air consumption point into an air compressor system model; obtaining output parameters of an air compression station in the air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station; wherein the air compressor system model is determined according to a constraint relationship and a pipe flow-pressure relationship of a pipe assembly, the constraint relationship is a constraint relationship of each node between a pressure source assembly, each pressure sink assembly and the pipe assembly, and is determined by a flow and pressure conservation law of each node; the pressure source assembly, each pressure sink assembly and the pipe assembly are respectively mapped by an air compression station in the air compressor system, each air consumption point and a pipe between the air compression station and each air consumption point. The method can obtain pressure parameters of the air compressor according to the air compressor system model and real-time flow parameters and threshold pressure parameters of the air consumption point, the air compressor system model is determined according to the pipe flow-pressure relationship and the constraint relationship of each node. When the demand of the air consumption point changes, the pressure parameters of the air compressor can be optimized according to the model, thereby avoiding the waste problem caused by the fact that the existing method cannot realize optimization and can only set a higher pressure parameter to meet the air demand of each air consumption point. The application reduces waste and saves energy consumption.

[0057] In addition, the application further provides a processing device of an air compressor system and a medium, which have the same beneficial effects as the processing method of the air compressor system. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the application, the drawings required in the embodiments will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0059] Figure 1 A flow chart of a processing method of an air compressor system according to an embodiment of the application is shown in the figure;

[0060] Figure 2 A schematic diagram of a compressed air system of an electrolytic aluminum enterprise is provided for an embodiment of the present application.

[0061] Figure 3 A mapping topology diagram of the compressed air system is provided for the present application.

[0062] Figure 4 A flowchart of another processing method of the air compressor system is provided for an embodiment of the present application.

[0063] Figure 5 A structural diagram of a processing device of the air compressor system is provided for an embodiment of the present application.

[0064] Figure 6 A structural diagram of another processing device of the air compressor system is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0066] The core of the present application is to provide a processing method, device and medium of an air compressor system, which is used to avoid the waste problem caused by the inability to realize optimization due to setting a higher pressure parameter to meet the gas demand of each gas point, and to reduce waste and save energy consumption.

[0067] In most industrial enterprises, 10% to 20% of the total energy consumption of the enterprise is applied to the compressed air system. There is a huge energy loss in the use of the compressed air system at present, so it is necessary to upgrade and reform each link of the system, implement effective energy-saving and environmental protection measures, and optimize the air compressor control method, so as to reduce the operating energy consumption, achieve energy saving and emission reduction, and reduce the operating cost of the enterprise. The existing air compressor system does not have an optimization model for electrolytic aluminum plants. For example, an electrolytic aluminum plant that has not been digitally transformed lacks the flow and pressure data required to establish a model. The flow and pressure data can be measured by installing digital instruments at various workshops, pipelines, and gas end positions. Based on the special nature of the electrolytic aluminum workshop, if an instrument is added during production, it will cause the electrolytic aluminum plant to temporarily suspend the current production work, which needs to be redesigned and affects the daily work of the electrolytic aluminum plant. Therefore, other methods are used to estimate the flow and pressure of the electrolytic aluminum workshop. The processing method of the air compressor system provided by the present application is not only suitable for electrolytic aluminum plants, but also suitable for various application scenarios where the air compressor system is installed, which is not limited herein.

[0068] In order for those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0069] Figure 1 A flow chart of a processing method of an air compressor system provided by an embodiment of the present application is shown in Figure 1 , and includes:

[0070] S11: Obtain flow parameters and threshold pressure parameters of each air use point in the air compressor system;

[0071] S12: Input the flow parameters and threshold pressure parameters of each air use point into the air compressor system model;

[0072] S13: Obtain output parameters of the air compression station in the air compressor system model, and take the output parameters as the optimized pressure parameters of the air compression station;

[0073] The air compressor system model is determined according to a constraint relationship and a pipe flow and pressure relationship of the pipe assembly, the constraint relationship is a constraint relationship of each node between the pressure source assembly, each pressure sink assembly and the pipe assembly, and the constraint relationship is determined by the conservation law of flow and pressure of each node;

[0074] The pressure source assembly, each pressure sink assembly and the pipe assembly are respectively mapped by the air compression station in the air compressor system, each air use point and the pipe between the air compression station and each air use point.

[0075] Specifically, the flow parameters and threshold pressure parameters of each air use point are obtained. Since the pressure parameters of the air compressor are set to corresponding maximum pressure parameters, the pressure parameter requirements of the air use points are generally based on the minimum pressure parameters as the threshold pressure parameters to solve the supply pressure corresponding to different pressure parameter requirements to meet the air use requirements of each air use point.

[0076] The flow parameters and threshold pressure parameters of each air use point are input into the established model to obtain the optimized pressure parameters of the current pressure station.

[0077] Figure 2 A schematic diagram of a compressed air system of an electrolytic aluminum enterprise provided by an embodiment of the present application is shown in Figure 2 , and arrows represent the flow direction of compressed air. The schematic diagram is obtained by simplifying the arrangement of pipes according to the actual compressed air system Figure 2 .

[0078] As an embodiment, the number of air compression stations is at least one;

[0079] The air use points include at least a repair workshop, a ladle lifting workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material removal point.

[0080] AsFigure 2 As shown, compressed air is produced by air compressor stations. A compressed air system can have n air compressor stations, where n > 0. Each air compressor station contains several compressors. This embodiment does not involve joint adjustment or optimization between air compressors. It can be a set pressure value for each air compressor, or multiple air compressors can be used as a whole air compressor station to provide the set pressure value for that air compressor station, or each air compressor station can provide an independent set pressure value, that is, n air compressor stations provide n set pressure values.

[0081] Apart from the air compressor station, all other locations are gas consumption points. It should be noted that the characteristics of gas consumption points and corresponding workshops in an electrolytic aluminum plant are as follows:

[0082] 1. The pressure at the feeding point is low, but the flow rate requirement is large, and the gas consumption is highly random and lacks regularity;

[0083] 2. The anode workshop requires high pressure but low flow rate;

[0084] 3. The entire electrolysis workshop comprises multiple sub-workshops and typically uses a ring pipeline to transport compressed air. The electrolysis workshop has a high magnetic field and electric field strength, making it unsuitable for installing instruments such as flow meters and pressure gauges.

[0085] The air compressor station and each air consumption point are connected by pipelines, and gas is transported from the air compressor station to each air consumption point through the pipelines. The establishment of the model requires data such as flow rate and pressure at the air production point and the air consumption point. Therefore, it is necessary to collect data such as the flow rate, pressure and temperature of compressed air in the outlet pipeline of the air compressor station and the inlet pipeline of each air consumption terminal, and transmit the data to the big data platform through wired or wireless means.

[0086] The air compressor system maps the air compressor stations, air consumption points, and pipelines connecting the air compressor stations and air consumption points to pressure source / sump assembly and pipeline assembly. All electrolysis sub-workshops are considered as a whole, as a single electrolysis workshop. Figure 2 There are three basic components: air production point (air compressor station), pipeline, and air consumption point. The only difference between the air compressor station and the air consumption point is the direction of compressed air flow; compressed air flows from the air production point to the air consumption point. Therefore, it can be... Figure 2 The three basic components are mapped to three basic components (pressure source component, pressure sink component, and pipeline component), which are not specifically limited in this embodiment. Figure 3 This application presents a mapping topology diagram based on a compressed air system, such as... Figure 3 As shown, the boxes represent components (Source1 is the pressure source component, Sink1-10 are pressure sink components), the straight lines represent pipes, and the points where the pipes intersect are nodes, which are represented by circles. For example, the point where pipes B1, S1, C1, E1, D1, and A1 intersect is a node. The point where Source1 and S1 intersect is also a node. Pressure source components and pressure sink components are represented by boxes.

[0087] The pipe flow relationship is determined by the pressure parameter and the flow parameter of the pipe assembly. It should be noted that the pipe assembly is established based on the pressure source assembly and the pressure sink assembly, and the pipe assembly between each pressure sink assembly includes multiple interfaces, and the pressure acting on each interface may be the same or different, some of which are import pressure and some of which are export pressure. Correspondingly, the embodiment only focuses on the interfaces corresponding to the start and end of the pressure source assembly or the pressure sink assembly in the pipe assembly, such as Figure 3 As shown in the figure, the interfaces of the corresponding pipe assembly in the pressure source assembly Source1 and the pressure sink assembly Sink8 are more, and the embodiment only focuses on the interfaces connected by Source1 and Sink8, which are the parameters corresponding to the export pressure and the import pressure, respectively. The pipe flow and pressure relationship is determined according to the relationship between the two kinds of pressure parameters and the flow parameter, and the pipe flow and pressure relationship is established based on the motion equation of fluid mass conservation, and the specific equation is not limited in the embodiment, which can be any kind of motion equation of fluid mass conservation. The constraint relationship determined by the nodes and the flow and pressure conservation law constrains the pressure parameters and the flow parameters of the pipe assembly and the corresponding pressure assembly passing through each node. Correspondingly, the flow conservation law flows into the flow equal to the flow out, and since the flow directions are different, the sum of the flows is 0. Correspondingly, according to the pressure conservation law, the pressure in each node is equal.

[0088] The air compressor system model is determined according to the constraint relationship and the pipe flow and pressure relationship. Among them, the resistance coefficient in the pipe flow and pressure relationship of the pipe assembly is determined by the established objective function, and the objective function is determined according to the error between the actual value and the calculated value after minimization.

[0089] After establishing the air compressor system model, the appropriate supply pressure can be obtained according to the actual demand of the gas end, that is, the pressure parameter corresponding to the air compressor.

[0090] The application provides a processing method of an air compressor system, which comprises the following steps: acquiring flow parameters and threshold pressure parameters of each gas consumption point in the air compressor system; inputting the flow parameters and threshold pressure parameters of each gas consumption point into an air compressor system model; acquiring output parameters of an air compression station in the air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station; wherein the air compressor system model is determined according to a constraint relationship and a pipe flow-pressure relationship of a pipe component, the constraint relationship is a constraint relationship of each node between a pressure source component, each pressure sink component and the pipe component, and is determined by the conservation of mass and the conservation of momentum; the pressure source component, each pressure sink component and the pipe component are respectively mapped by an air compression station in the air compressor system, each gas consumption point and a pipe between the air compression station and each gas consumption point. The method can obtain pressure parameters of the air compressor according to the air compressor system model and real-time flow parameters and threshold pressure parameters of the gas consumption point, the air compressor system model is determined according to the constraint relationship of each node and the pipe flow-pressure relationship. When the demand of the gas consumption point changes, the pressure parameters of the air compressor can be optimized according to the model, thereby avoiding the waste problem caused by the fact that the existing method cannot realize optimization and can only set higher pressure parameters to meet the gas demand of each gas consumption point.

[0091] On the basis of the above embodiment, the determination process of the pipe flow-pressure relationship in step S12 specifically comprises the following steps:

[0092] acquiring to-be-inlet pressure parameters, to-be-outlet pressure parameters and to-be-standard-volume-flow parameters corresponding to the pipe component;

[0093] obtaining a flow control equation of the pipe component by the to-be-inlet pressure parameters, the to-be-outlet pressure parameters and the to-be-standard-volume-flow parameters through the conservation of mass and the NS equation;

[0094] acquiring a resistance coefficient of the pipe component, and determining a relationship between the resistance coefficient and the to-be-standard-volume-flow parameter to obtain a resistance flow equation;

[0095] determining the pipe flow-pressure relationship according to the relationship between the flow control equation and the resistance flow equation.

[0096] Specifically, the flow parameters and pressure parameters of each gas consumption point and pressure station are known, the to-be-inlet pressure parameters, the to-be-outlet pressure parameters and the to-be-standard-volume-flow parameters corresponding to the pipe component are acquired, and the parameters corresponding to the pipe component in the embodiment are only parameter identifiers, and the specific parameter values are unknown and are set by unknown parameters.

[0097] In addition, the acquisition of the flow parameters and pressure parameters of each gas consumption point, due to the particularity of the electrolytic workshop, when the instrument is initially installed, the method for determining the flow parameters and pressure parameters of the gas consumption point according to the installation method of the instrument has the following two kinds:

[0098] 1. Flow and pressure gauges can be installed at the entrance of each electrolysis sub-plant, so that the gas consumption of each electrolysis sub-plant can be accurately obtained;

[0099] 2. All electrolysis sub-plants can be regarded as a whole, as an electrolysis plant, and then corresponding instruments are installed at the total entrance position.

[0100] In the production process, it is impossible to install instruments or the cost of installing instruments is high, and the pressure parameters of the gas consumption points are determined in the following two ways:

[0101] 1. The highest gas consumption pressure value of each gas consumption point is taken as the pressure value of the electrolysis plant;

[0102] 2. The data of the pressure gauge closest to the electrolysis plant is taken as the pressure value of the electrolysis plant.

[0103] In the case of impossible installation of instruments or high cost of installation of instruments, the flow parameters of the gas consumption points are determined in the following two ways:

[0104] 1. The total outlet flow of the air compression station is subtracted from the gas consumption flow of other user terminals outside the electrolysis plant;

[0105] 2. According to the actual working pressure, gas consumption frequency, gas consumption time, outlet valve diameter and valve opening degree of the actual gas consumption point of the electrolysis plant, the actual gas consumption is calculated.

[0106] Regardless of the case, the flow parameters and pressure parameters of each corresponding gas consumption point of the embodiment (including obtaining the flow parameters and pressure parameters of the gas consumption points of the electrolysis plant) are not limited, and the corresponding flow parameters and pressure parameters can be obtained according to the actual installation of instruments.

[0107] The inlet pressure parameter, outlet pressure parameter and standard condition volume flow parameter are substituted into the flow control equation of the pipe assembly through the fluid mass conservation equation and the NS equation.

[0108] Specifically, the ideal fluid differential equation expresses the relationship between the force acting on a unit mass of fluid and the fluid motion acceleration, which is the basic equation of fluid dynamics, applicable to both incompressible and compressible fluids, and also applicable to the motion of all ideal fluids. In the present embodiment, the incompressible fluid mass conservation equation is considered, and the Navier-Stokes equation (NS) is a nonlinear differential equation. It contains variables such as the motion velocity, pressure, density, viscosity, and temperature of the fluid, which are functions of space position and time. Generally speaking, for general fluid kinematics problems. It is necessary to solve the NS equation together with mass conservation, energy conservation, thermodynamic equations, and material properties of the medium. Due to its complexity, it is usually solved by numerical calculation of a computer under given boundary conditions.

[0109] As an embodiment, the to-be-imported pressure parameter p in , the to-be-imported outlet pressure parameter p out , and the to-be-imported standard volume flow parameter q m The relationship between the two interfaces is established by the NS equation. In order to facilitate subsequent parameter identification and calibration model, the factors affecting the resistance are concentrated in the resistance coefficient R. Since the compressed air flows in the pipe assembly, according to the one-dimensional steady-state form of the NS equation, the control equation of pipe flow is approximately as follows:

[0110]

[0111] Since the resistance coefficient R of the pipe changes with the flow, the relationship between the resistance coefficient and the to-be-standardized volume flow parameter determines the resistance flow equation, which is as follows:

[0112] R = R0 + R1q m

[0113] Where R0 is the resistance coefficient 1, and R1 is the resistance coefficient 2, which is obtained by dividing the pressure data by the square of the flow data.

[0114] Substituting this formula into the above formula, that is, determining the pipe flow and pressure relationship according to the relationship between the flow control equation and the resistance flow equation, the formula obtained is as follows:

[0115]

[0116] The determination process of the pipe flow and pressure relationship provided by the embodiments of the present application determines the pipe flow and pressure relationship of the pipe assembly by means of the pressure parameter and flow parameter of the pipe assembly in the fluid momentum conservation equation, which further makes the established model targeted and provides a constraint reference for subsequent model establishment.

[0117] On the basis of the above embodiments, the determination process of the constraint relationship specifically includes:

[0118] Obtaining the air flow direction of the pipeline component corresponding to each node;

[0119] Determining the pressure relationship of each node according to the air flow direction, the pressure source component, the pressure parameter of each pressure sink component and the pipeline component, and the pressure conservation law;

[0120] Determining the flow relationship of each node according to the air flow direction, the pressure source component, the flow parameter of each pressure sink component and the pipeline component, and the flow conservation law;

[0121] Determining the constraint relationship of each node according to the pressure relationship and the flow relationship.

[0122] Specifically, the air flow direction of the pipeline component corresponding to each node is obtained, and the pressure relationship of each node is determined according to the corresponding air flow direction, the pressure parameter of the pressure component, the pressure parameter of the pipeline component and the pressure conservation law. Figure 3 Taking the node in the figure as an example, there are 6 pipeline components, and considering the directionality of the compressed air flow, it can be known that:

[0123] p S1,out =p k,in ,k∈{B1,C1,E1,D1,A1}

[0124] The pipeline output pressure parameter of S1 is equal to the input pressure parameter of any other pipeline, taking the A1 pipeline as an example, the pipeline output pressure parameter of A1 is equal to the input pressure parameter of any other pipeline (A2, A3), so that the pressure is equal.

[0125] The flow relationship is determined according to the air flow direction, the flow parameter of the pressure source component, the flow parameter of each pressure sink component and the pipeline component, and the flow conservation law. The flow direction plus the flow data makes the flow exist as vector data, the flow out of the pressure station is equal to the inflow of each gas point, in general, the final sum of the flow as vector data is 0, that is, ∑q i,m =0i,∈{B S1 C,E1 D,A1},.

[0126] The constraint relationship of each node is determined according to the pressure relationship and the flow relationship. It can be understood that each node is not only the node data provided in the figure, but also multiple interfaces can be set in the pipeline component according to the actual situation to make the number of nodes determined between the interfaces different, and each node establishes the corresponding constraint relationship. Figure 3

[0127] ​The constraint relationship determination process provided by the embodiment of the application establishes a constraint relationship through the pressure parameters and the flow parameters corresponding to the pipeline assembly and the pressure assembly, facilitates subsequent calculation of the correlation coefficient of the pipeline assembly, and makes the established model more perfect.

[0128] On the basis of the above embodiment, the determination process of the resistance coefficient specifically includes:

[0129] The current error function is obtained by deforming the pipeline flow and pressure relationship according to the actual pressure data of the pressure source assembly and each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly, wherein the actual standard condition volume flow data is determined according to the constraint relationship and the actual pressure data of the pressure source assembly and each pressure sink assembly.

[0130] The current error function of each pressure sink assembly corresponding to the pressure source assembly is called.

[0131] The total error function is obtained by summarizing the current error functions.

[0132] The current preset resistance coefficient is obtained.

[0133] The current preset resistance coefficient, the actual pressure data of the pressure source assembly and each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly are input into the total error function to obtain a current error value.

[0134] The target function is obtained by performing minimization processing on the total error function according to the current error value and the current preset resistance coefficient.

[0135] The processed resistance coefficient is determined as the final resistance coefficient according to the target function.

[0136] Specifically, the actual pressure data of the pressure source assembly and each pressure sink assembly corresponding to the actual pressure data, and the actual standard condition volume flow data of the corresponding pipeline assembly between the pressure source assembly and each pressure sink assembly are obtained. The actual standard condition volume flow data of the pipeline assembly between each pressure sink assembly and the pressure source assembly is determined according to the constraint relationship and the actual pressure data of the pressure source assembly and each pressure sink assembly.

[0137] The equation corresponding to the pipeline flow relationship is deformed, and the actual pressure data of the pressure source assembly and each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly are deformed to obtain the current error function of the pipeline flow and pressure relationship.

[0138]

[0139] ​Wherein, i represents the pressure sink assembly, j represents the pressure source assembly and all the pipes between the pressure source assembly and each pressure sink assembly i.

[0140] Since there are multiple error functions between the pressure source assembly and each pressure sink assembly, the current error function of the pressure source assembly corresponding to each pressure sink assembly needs to be called, and the total error function is obtained by summarizing each current error function. The current preset resistance coefficient is obtained, and the preset resistance coefficient is adjusted according to the result to determine the final resistance coefficient.

[0141] The actual pressure data of the pressure source assembly and each pressure sink assembly, the current preset resistance system and each actual standard condition volume flow data are input into the total error function to obtain the current error value between the pressure source assembly and each pressure sink assembly.

[0142] For example, Figure 3 The pressure source assembly Source1 in the pressure sink assembly Sink5, the intermediate pipe has B1, C1, and the corresponding error value formula is:

[0143]

[0144] The above is only an error value of a pressure source assembly and one pressure sink assembly, and the error values obtained according to multiple pressure sources corresponding to multiple pressure sink assemblies are collected to obtain the current error value, that is, ∑Delta.

[0145] According to the current error value and the current preset resistance coefficient, the minimization processing of the total error function is performed to obtain the target function. It should be noted that the minimization processing of the total error function can be difference processing or derivative processing. In order to obtain the accuracy of the resistance coefficient, the difference processing is selected as the minimization processing mode in this embodiment. After the target function is determined, the corresponding resistance coefficient is the processed resistance coefficient, that is, the final resistance coefficient.

[0146] As an embodiment, according to the current error value and the current preset resistance coefficient, the minimization processing of the total error function is performed to obtain the target function, including:

[0147] The current error value and the current preset resistance coefficient are input into the total error function to obtain the corresponding current difference result;

[0148] According to the current difference result, the current preset resistance coefficient is adjusted to obtain a new current preset resistance coefficient, and returns to the step of inputting the current preset resistance coefficient, the actual pressure data of the pressure source assembly and each pressure sink assembly, and the actual standard condition volume flow data of the corresponding pipe assembly into the total error function to obtain the current error value, until the current error value is less than the threshold value;

[0149] When the current error is less than the threshold value, the corresponding total error function is the target function;

[0150] wherein the current preset drag coefficient is adjusted according to the current differential result to obtain a new current preset drag coefficient, including:

[0151] in the case that the current differential result is greater than 0, the current preset drag coefficient is reduced by a preset step to obtain a new current preset drag coefficient;

[0152] in the case that the current differential result is less than 0, the current preset drag coefficient is increased by a preset step to obtain a new current preset drag coefficient.

[0153] It should be noted that when the minimization processing is performed, the current error value and the current preset drag coefficient are input into the total error function to obtain the corresponding current differential result. The current preset drag coefficient is adjusted according to the differential result, and the adjusted drag coefficient is returned to the determination step of the current error value to calculate the next current error value. In this way, the preset drag coefficient is adjusted little by little to meet the condition that the subsequent current error value is less than the threshold.

[0154] If the current error value is less than the threshold, the adjustment of the drag coefficient is stopped, and the preset drag coefficient obtained for the current error value is taken as the final drag coefficient, and at this time the corresponding total error function is the objective function. Correspondingly, the strategy for adjusting the current preset drag coefficient according to the differential result is that when the current differential result is greater than 0, the current preset drag coefficient is reduced by a preset step to obtain a new current preset drag coefficient; and when the current differential result is less than 0, the current preset drag coefficient is increased by a preset step to obtain a new current preset drag coefficient. It can be understood that the preset step can be the same in each adjustment process, or it can be different, or in the case of different differential results, the preset step in the adjustment strategy can be the same or different, which is not limited here and can be set according to the actual situation. The step value of the adjustment step is not limited by the present application, and the step value of the increase or decrease can be the same or different, which can be set according to the actual situation.

[0155] As for the model, it can be written by a program language, and the specific language is not limited, which can be an open source language such as python or julia, or a commercial software such as matlab.

[0156] The determination process of the drag coefficient provided in the embodiment determines the drag coefficient by minimizing the error value of the objective function, and constructs a model based on the mechanism knowledge and the data of the electrolytic workshop. The model is based on the CAD engineering drawing of the air compressor system and the corresponding fluid mechanics principles, and not only relies on the real data collected, but also makes the established model truly reflect the actual state.

[0157] On the basis of the above embodiment, the method further comprises:

[0158] obtaining a current pressure parameter of the air compression station;

[0159] inputting the current pressure parameter into the air compressor system model;

[0160] obtaining current pressure parameters of each gas point output by the air compressor system model;

[0161] determining whether the current pressure parameters of each gas point meet a preset requirement, wherein the preset requirement is that the number of the current pressure parameters of each gas point that are threshold pressure parameters reaches a preset number;

[0162] if yes, the current pressure parameter is taken as a final pressure parameter;

[0163] if no, a descending step is determined by a piecewise descending method;

[0164] a next current pressure parameter is determined according to the current pressure parameter and the descending step, and the step of inputting the current pressure parameter into the air compressor system model is returned to.

[0165] Specifically, in order to ensure production safety and production stability, it is impossible to reduce the set pressure to the optimal pressure parameter given by the model at one time, so the current pressure parameter of the air compression station is obtained, and the current pressure parameter is input into the air compressor system model to obtain the current pressure parameters of each gas point.

[0166] It is determined whether the current pressure parameters of each gas point meet the preset requirement, if yes, it is indicated that the current pressure parameter is the final pressure parameter, i.e., the optimal pressure parameter. If no, the pressure parameter needs to be reduced based on the current pressure parameter according to a certain slow reduction. The preset requirement is set based on the pressure demand of each gas point. As an embodiment, when the number of the pressure parameters of each gas point that are corresponding lower critical pressure parameters reaches a preset number, it is determined that the reduction is not needed. When the preset requirement is not met, the descending step is determined by the piecewise descending method. Understandably, the descending step is equal at each time of descending, or can not be equal. The embodiment is not limited specifically, and as an embodiment, the steps are the same. For example, the actual set pressure value of the factory is 6 bar, and the optimal set pressure value given by the model is 5 bar. At this time, table 1 can be calculated according to the model. Table 1 is a gas point pressure comparison table for different production period pressures. The table gives the corresponding gas point pressure under the condition of different supply pressures and gas point flow rates.

[0167] Table 1: Gas point pressure comparison table for different production period pressures

[0168]

[0169] When the segmented descending method is adopted, the actual set pressure value of the air compression station can be first decreased from 6 bar to 5.9 bar, at which time no severe impact on the factory production is caused, and the model can be verified through comparison between the actual gas consumption point pressure value and the calculated gas consumption point pressure value. After the set pressure value of 5.9 bar is operated for a period of time, the descending can be continued until the requirement is met.

[0170] When each step is decreased, the next current pressure parameter is determined according to the current pressure parameter and the descending step, and the corresponding current gas consumption point pressure parameter is obtained to determine whether the preset requirement is met, until the preset requirement is met.

[0171] Regarding the acquisition of the critical pressure parameter, at least one of the following methods can be adopted:

[0172] The specification gas consumption pressure value is obtained according to the requirement of the production operation manual or operation procedure;

[0173] The experience gas consumption pressure value is obtained according to the experience of the on-site operator;

[0174] The actual gas consumption pressure value is obtained according to the historical data statistics.

[0175] The embodiment is not specifically limited, and can be acquired according to the actual situation.

[0176] The embodiment provided in the embodiment provides the segmented descending method for determining the optimized pressure parameter in the actual production, and ensures the production safety and the production stability.

[0177] As an embodiment, Figure 4 As shown in the flowchart of another processing method of the air compressor system provided in the embodiment, the flowchart includes: Figure 4

[0178] S21: acquiring the flow pressure data of the gas production end and the gas consumption end;

[0179] S22: judging whether the electrolysis workshop can be installed with a measuring instrument, if yes, proceeding to step S23; if no, proceeding to step S24;

[0180] S23: estimating the flow pressure data of the electrolysis workshop;

[0181] S24: drawing a simplified topology diagram according to the system diagram;

[0182] S25: constructing a model according to the topology diagram and the fluid mechanics principle;

[0183] S26: training the model to obtain the value of the resistance coefficient R;

[0184] S27: obtaining the lowest required pressure data of the gas consumption end; ​

[0185] S28: calculate the optimal set pressure;

[0186] S29: calculate the gas end pressure corresponding to different supply pressures.

[0187] For another air compressor system processing method provided by the present application, please refer to the above method embodiment, the present application does not repeat here, it has the same beneficial effect as the above air compressor system processing method.

[0188] The above detailed description of the air compressor system processing method corresponds to each embodiment, on this basis, the present application also discloses the processing device of air compressor system corresponding to the above method, Figure 5 The structure diagram of an air compressor system processing device provided by the embodiment of the present application is shown in FIG. 1. Figure 5 As shown in the figure, the air compressor system processing device comprises:

[0189] The acquisition module 11 is configured to acquire the flow parameter and the threshold pressure parameter of each gas point in the air compressor system.

[0190] The input module 12 is configured to input the flow parameter and the threshold pressure parameter of each gas point by inputting the air compressor system model.

[0191] The output module 13 is configured to acquire the output parameter of the air compression station of the air compressor system model, and take the output parameter as the optimized pressure parameter of the air compression station.

[0192] The air compressor system model is determined according to the constraint relationship and the pipe flow and pressure relationship of the pipe assembly, the constraint relationship is the constraint relationship of each node between the pressure source assembly, each pressure sink assembly and the pipe assembly, and the constraint relationship is determined by the conservation law of each node and flow and pressure.

[0193] The pressure source assembly, each pressure sink assembly and the pipe assembly are respectively mapped by the air compression station in the air compressor system, each gas point and the pipe between the air compression station and each gas point.

[0194] Since the embodiments of the device part correspond to the above embodiments, the embodiments of the device part are described with reference to the above method part embodiments, and will not be repeated here.

[0195] For the air compressor system processing device provided by the present application, please refer to the above method embodiment, the present application does not repeat here, it has the same beneficial effect as the above air compressor system processing method.

[0196] Figure 6 The structure diagram of another air compressor system processing device provided by the embodiment of the present application is shown in FIG. 2. Figure 6 As shown in the figure, the device comprises:

[0197] a memory 21 for storing a computer program;

[0198] a processor 22 for executing the computer program to implement the steps of the processing method of the air compressor system.

[0199] The processing device of the air compressor system provided by the embodiment can include, but is not limited to, a smart phone, a tablet computer, a notebook computer, or a desktop computer, etc.

[0200] The processor 22 can include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 22 can be implemented in at least one of a hardware form of a digital signal processor (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 22 can also include a main processor and a coprocessor. The main processor is a processor for processing data in a wake-up state, also known as a central processing unit (CPU). The coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 22 can be integrated with a graphics processor (GPU) for rendering and drawing the content to be displayed by the display screen. In some embodiments, the processor 22 can also include an artificial intelligence (AI) processor for processing machine learning-related computing operations.

[0201] The memory 21 can include one or more computer-readable storage media, which can be non-transitory. The memory 21 can also include a high-speed random access memory, and a non-volatile memory such as one or more disk storage devices, flash storage devices. In the embodiment, the memory 21 is at least used to store the following computer program 211, wherein the computer program is loaded and executed by the processor 22, and can implement the related steps of the processing method of the air compressor system disclosed in any of the preceding embodiments. In addition, the resources stored by the memory 21 can also include an operating system 212 and data 213, etc., and the storage mode can be temporary storage or permanent storage. The operating system 212 can include Windows, Unix, Linux, etc. The data 213 can include, but is not limited to, data related to the processing method of the air compressor system, etc.

[0202] In some embodiments, the processing device of the air compressor system can further include a display screen 23, an input / output interface 24, a communication interface 25, a power supply 26 and a communication bus 27.

[0203] Those skilled in the art can understand that the structure shown in the above embodiments does not constitute a limitation on the processing device of the air compressor system, and can include more or fewer components than those shown in the drawings. Figure 6

[0204] The processor 22 implements the processing method of the air compressor system provided by any of the above embodiments by calling instructions stored in the memory 21.

[0205] For the processing device of the air compressor system provided by the present application, refer to the above method embodiments, and the present application will not be repeated here, which has the same beneficial effects as the above processing method of the air compressor system.

[0206] Further, the present application also provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by the processor 22 to implement the steps of the above processing method of the air compressor system.

[0207] It can be understood that if the method in the above embodiments is implemented in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and executes all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0208] For the computer readable storage medium provided by the present application, refer to the above method embodiments, and the present application will not be repeated here, which has the same beneficial effects as the above processing method of the air compressor system.

[0209] ​The processing method of the air compressor system, the processing device of the air compressor system and the medium provided by the present application are described in detail above. Each embodiment in the specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between each embodiment can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be referred to the method part. It should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, the present application can be improved and modified, and these improvements and modifications also fall within the protection scope of the claims of the present application.

[0210] It should also be noted that in the present specification, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the existence of other identical elements in the process, method, article or device including the element.

Claims

1. A processing method of an air compressor system, characterized by, The method comprises: obtaining flow parameters and threshold pressure parameters of each air consumption point in an air compressor system; inputting the flow parameters and threshold pressure parameters of each air consumption point into an air compressor system model; obtaining output parameters of an air compression station in the air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station; wherein the air compressor system model is determined according to a constraint relationship and a pipe flow-pressure relationship of a pipe component, the constraint relationship is a constraint relationship of each node between a pressure source component, each pressure sink component and the pipe component, and the constraint relationship is determined by each node and a flow-pressure conservation law; the pressure source component, each pressure sink component and the pipe component are respectively mapped by the air compression station in the air compressor system, each air consumption point and a pipe between the air compression station and each air consumption point; correspondingly, the determination process of the pipe flow-pressure relationship specifically comprises: obtaining a to-be-imported pressure parameter, a to-be-exported pressure parameter and a to-be-standard-condition volume flow parameter corresponding to the pipe component; obtaining a flow control equation of the pipe component by a fluid mass conservation equation and an NS equation based on the to-be-imported pressure parameter, the to-be-exported pressure parameter and the to-be-standard-condition volume flow parameter; obtaining a resistance coefficient of the pipe component, and determining a relationship between the resistance coefficient and the to-be-standard-condition volume flow parameter to obtain a resistance flow equation; determining the pipe flow-pressure relationship according to a relationship between the flow control equation and the resistance flow equation; correspondingly, the determination process of the constraint relationship specifically comprises: obtaining an air flow direction of each node corresponding to the pipe component; determining a pressure relationship of each node corresponding to the pressure source component, each pressure sink component and the pipe component according to each air flow direction, pressure parameters corresponding to the pressure source component, each pressure sink component and the pipe component and the pressure conservation law; determining a flow relationship of each node corresponding to the pressure source component, each pressure sink component and the pipe component according to each air flow direction, flow parameters corresponding to the pressure source component, each pressure sink component and the pipe component and the flow conservation law; determining the constraint relationship of each node according to the pressure relationship and the flow relationship.

2. The method of claim 1, wherein The determination process of the resistance coefficient specifically comprises: deforming the pipe flow-pressure relationship according to actual pressure data of the pressure source component and each pressure sink component and actual standard-condition volume flow data of the corresponding pipe component to obtain a current error function, wherein the actual standard-condition volume flow data is determined according to the constraint relationship, the actual pressure data of the pressure source component and each pressure sink component; calling each current error function of each pressure sink component corresponding to the pressure source component; summing up each current error function to obtain a total error function; obtaining a current preset resistance coefficient; inputting the current preset resistance coefficient, the actual pressure data of the pressure source component and each pressure sink component and the actual standard-condition volume flow data of the corresponding pipe component into the total error function to obtain a current error value; The minimization processing of the total error function according to the current error value and the preset resistance coefficient obtains a target function; The processed resistance coefficient is determined as a final resistance coefficient according to the target function.

3. The method of claim 2, wherein The minimization processing of the total error function according to the current error value and the preset resistance coefficient obtains a target function, including: The current error value and the preset resistance coefficient are input into the total error function to obtain a corresponding current differential result; The preset resistance coefficient is adjusted according to the current differential result to obtain a new preset resistance coefficient, and the step of inputting the preset resistance coefficient, the pressure source component, the actual pressure data of each pressure sink component and the actual standard volume flow data of the corresponding pipeline component into the total error function to obtain a current error value is returned until the current error value is less than a threshold value; When the current error is less than the threshold value, the corresponding total error function is the target function; The preset resistance coefficient is adjusted according to the current differential result to obtain a new preset resistance coefficient, including: In the case that the current differential result is greater than 0, the preset resistance coefficient is reduced by a preset step on the basis of the current preset resistance coefficient to obtain a new preset resistance coefficient; In the case that the current differential result is less than 0, the preset resistance coefficient is increased by the preset step on the basis of the current preset resistance coefficient to obtain a new preset resistance coefficient.

4. The method of claim 1 to 3, wherein The method further includes: Obtaining a current pressure parameter of the air compression station; The air compressor system model is adjusted to input the current pressure parameter; The current pressure parameter of each air use point output by the air compressor system model is obtained; It is judged whether the current pressure parameter of each air use point meets a preset requirement, wherein the preset requirement is that the number of the current pressure parameter of each air use point is equal to a preset number; If yes, the current pressure parameter is taken as a final pressure parameter; If no, a descending step is determined by a piecewise descending method; The next current pressure parameter is determined according to the current pressure parameter and the descending step, and the step of adjusting the air compressor system model to input the current pressure parameter is returned.

5. The method of claim 1, wherein The number of the air compression station is at least one; The air use points include at least a maintenance workshop, a ladle lifting workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material handling point.

6. A processing device of an air compressor system, characterized by, Including: An acquisition module is configured to acquire flow parameters and threshold pressure parameters of each air use point in an air compressor system; An adjustment module is configured to adjust an air compressor system model to input the flow parameters and the threshold pressure parameters of each air use point; An output module is configured to acquire output parameters of an air compression station of the air compressor system model, and take the output parameters as optimized pressure parameters of the air compression station; The air compressor system model is determined according to a constraint relationship and a pipe flow-pressure relationship of a pipe assembly, the constraint relationship is a constraint relationship of each node between a pressure source assembly, each pressure sink assembly and the pipe assembly, and the constraint relationship is determined by each node and a flow and pressure conservation law; The pressure source assembly, each pressure sink assembly and the pipe assembly are mapped by the air compression station in the air compressor system, each gas using point and a pipe between the air compression station and each gas using point; Correspondingly, the determination process of the pipe flow-pressure relationship specifically includes: Obtaining a to-be-inlet pressure parameter, a to-be-outlet pressure parameter and a to-be-standard-condition volume flow parameter corresponding to the pipe assembly; Obtaining a flow control equation of the pipe assembly by a fluid mass conservation equation and an NS equation on the to-be-inlet pressure parameter, the to-be-outlet pressure parameter and the to-be-standard-condition volume flow parameter; Obtaining a resistance coefficient of the pipe assembly, and determining a relationship between the resistance coefficient and the to-be-standard-condition volume flow parameter to obtain a resistance flow equation; Determining the pipe flow-pressure relationship according to a relationship between the flow control equation and the resistance flow equation; Correspondingly, the determination process of the constraint relationship specifically includes: Obtaining an air flow direction of the pipe assembly corresponding to each node; Determining a pressure relationship corresponding to each node according to each air flow direction, a pressure parameter corresponding to the pressure source assembly, each pressure sink assembly and the pipe assembly and the pressure conservation law; Determining a flow relationship corresponding to each node according to each air flow direction, a flow parameter corresponding to the pressure source assembly, each pressure sink assembly and the pipe assembly and the flow conservation law; Determining the constraint relationship of each node according to the pressure relationship and the flow relationship.

7. A processing device of an air compressor system, characterized by, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of the processing method of the air compressor system according to any one of claims 1 to 5. The computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of the processing method of the air compressor system according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, ​

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