CN115711220A - Processing method, device and medium of air compressor system - Google Patents
Processing method, device and medium of air compressor system Download PDFInfo
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Abstract
The application discloses a processing method, a processing device and a processing medium of an air compressor system, and relates to the technical field of air compressor systems. Calling an air compressor system model to input flow parameters and threshold pressure parameters of each air point; and acquiring output parameters of the air compression station in the air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station. The pressure parameters of the air compressor can be obtained according to the air compressor system model, the flow parameters and the threshold pressure parameters of the real-time air consumption points, and the air compressor system model is determined according to the pipeline flow, the pressure relation and the constraint relation of each node. When the demand of using the gas point changes, can be according to the pressure parameter of model in order optimizing the air compressor machine, avoid present satisfying the gas demand of using the gas point through setting for higher pressure parameter, can't realize optimizing the extravagant problem that leads to, this application reduces extravagant while energy saving.
Description
Technical Field
The application relates to the technical field of air compressor systems, in particular to a processing method, a processing device and a processing medium of an air compressor system.
Background
The air compressor is driven by a common motor or a combustion engine, and works on gas to compress the gas, so that the pressure of the gas is increased. The compressed gas is then transported to the pneumatic equipment for use via the network. A typical air compressor system includes a gas generation end, a pipeline and a gas utilization end. The gas production end mainly comprises an air compressor and a dryer and is used for producing required compressed air. The produced compressed air overcomes the resistance in the pipeline transportation process and then reaches the air using end, and the air using requirements of various air using points are met.
In an electrolytic aluminum plant, there are an electrolytic aluminum plant, an anode assembly plant, a material-dropping point, and the like as main gas-consuming points. The scheme that current factory adopted generally sets for higher compressed air supply pressure, guarantees to satisfy the gas demand of each gas consumption point. When the gas consumption point does not have the gas consumption demand, the exhaust pressure can rise, then triggers the unloading mechanism of air compressor machine, directly discharges compressed air to atmosphere to produce the waste.
Therefore, it is an urgent need to solve the problem of reducing the energy consumption of the compressed air system.
Disclosure of Invention
The application aims to provide a processing method, a processing device and a processing medium of an air compressor system, which are used for avoiding the problem that the existing air consumption requirement of each air consumption point is met by setting a higher pressure parameter, the waste problem caused by optimization cannot be realized, the waste is reduced, and the energy consumption is saved.
In order to solve the technical problem, the present application provides a processing method of an air compressor system, including:
acquiring flow parameters and threshold pressure parameters of all gas points in an air compressor system;
calling an air compressor system model to input a flow parameter and a threshold pressure parameter of each gas utilization point;
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;
the air compressor system model is determined according to a constraint relation and a pipeline flow and pressure relation of a pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the conservation law of each node and the flow and the pressure;
the pressure source assembly, the pressure sink assemblies and the pipeline assembly are respectively obtained through the air compression station, the air utilization points and the pipeline mapping between the air compression station and the air utilization points in the air compressor system.
Preferably, the process for determining the relationship between the flow rate and the pressure of the pipeline specifically includes:
acquiring a pressure parameter to be inlet, a pressure parameter to be outlet and a volume flow parameter to be standard condition corresponding to the pipeline assembly;
obtaining a flow control equation of the pipeline assembly through the fluid mass conservation equation and the NS equation for the pressure parameter to be inlet, the pressure parameter to be outlet and the volume flow parameter to be standard condition;
acquiring a resistance coefficient of the pipeline assembly, and determining the relationship between the resistance coefficient and the volume flow parameter of the condition to be calibrated to obtain a resistance flow equation;
and determining the relationship between the pipeline flow and the pressure according to the relationship between the flow control equation and the resistance flow equation.
Preferably, the determining process of the constraint relationship specifically includes:
acquiring the air flow direction of the pipeline assembly corresponding to each node;
determining a pressure relation corresponding to each node according to each air flow direction, the pressure source assembly, the pressure sink assemblies, the pressure parameters corresponding to the pipeline assembly and the pressure conservation law;
determining a flow relation corresponding to each node according to the flow direction of each air, the pressure source assembly, the flow parameters corresponding to each pressure sink assembly and the pipeline assembly and the flow conservation law;
and determining the constraint relation of each node according to the pressure relation and the flow relation.
Preferably, the process for determining the drag coefficient specifically includes:
according to the pressure source assembly, the actual pressure data of each pressure sink assembly and the corresponding actual standard condition volume flow data of the pipeline assembly, deforming the pipeline flow and pressure relationship to obtain a current error function, wherein the actual standard condition volume flow data is determined according to the constraint relationship, the pressure source assembly and the actual pressure data of each pressure sink assembly;
calling each current error function of each pressure sink assembly corresponding to the pressure source assembly;
summarizing each current error function to obtain a total error function;
acquiring the current preset resistance coefficient;
inputting the currently preset resistance coefficient, the pressure source assembly, the actual pressure data of each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value;
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;
and determining the processed resistance coefficient as the final resistance coefficient according to the objective function.
Preferably, the minimizing the total error function according to the current error value and the current preset resistance coefficient to obtain an objective function includes:
inputting the current error value and the current preset resistance coefficient into the total error function to obtain a corresponding current difference result;
adjusting the currently preset resistance coefficient according to the current difference result to obtain a new currently preset resistance coefficient, and returning to the step of inputting the currently preset resistance coefficient, the pressure source assembly, the actual pressure data of each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value until the current error value is smaller than a threshold value;
when the current error is smaller than the threshold value, the corresponding total error function is the target function;
wherein the adjusting the current preset resistance coefficient according to the current difference result to obtain a new current preset resistance coefficient includes:
when the current difference result is larger than 0, reducing a preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient;
and under the condition that the current difference result is less than 0, increasing the preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient.
Preferably, the method further comprises:
acquiring a current pressure parameter of the air compression station;
calling the air compressor system model to input the current pressure parameter;
acquiring pressure parameters of current gas utilization points output by the air compressor system model;
judging whether the pressure parameters of the current gas points meet preset requirements, wherein the preset requirements are that the number of the pressure parameters of the current gas points is the threshold value and reaches a preset number;
if so, taking the current pressure parameter as a final pressure parameter;
if not, determining a descending step length by a segmented descending method;
and determining the next current pressure parameter according to the current pressure parameter and the descending step length, and returning to the step of calling the air compressor system model to input the current pressure parameter.
Preferably, the number of said air compression stations is at least one;
the gas consumption points at least comprise a repair workshop, a ladle workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material beating point.
In order to solve the above technical problem, the present application further provides a processing apparatus of an air compressor system, including:
the acquisition module is used for acquiring flow parameters and threshold pressure parameters of each gas point in the air compressor system;
the calling-in module is used for calling in an air compressor system model so as to input the flow parameters and the threshold pressure parameters of the air consumption points;
the output module is used for acquiring output parameters of an air compression station of the air compressor system model and taking the output parameters as optimized pressure parameters of the air compression station;
the air compressor system model is determined according to a constraint relation and a pipeline flow and pressure relation of a pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the conservation law of each node and the flow and the pressure;
the pressure source assembly, the pressure sink assemblies and the pipeline assembly are respectively obtained through the air compression station, the air utilization points and the pipeline mapping between the air compression station and the air utilization points in the air compressor system.
In order to solve the above technical problem, the present application further provides a processing apparatus of an air compressor system, including a memory for storing a computer program;
and the processor is used for realizing the steps of the processing method of the air compressor system when executing the computer program.
In order to solve the technical problem, the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the processing method of the air compressor system are implemented.
The application provides a processing method of an air compressor system, which comprises the following steps: acquiring flow parameters and threshold pressure parameters of all gas points in an air compressor system; calling an air compressor system model to input flow parameters and threshold pressure parameters of each air point; acquiring output parameters of an air compression station in an air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station; the system model of the air compressor is obtained by determining according to a constraint relation and a pipeline flow and pressure relation of a pipeline assembly, wherein the constraint relation is the constraint relation of each node among a pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined by each node and a flow and pressure conservation law; the pressure source assembly, each pressure collection assembly and the pipeline assembly are obtained through an air compression station, each air consumption point in the air compressor system and pipeline mapping between the air compression station and each air consumption point respectively. According to the method, the pressure parameters of the air compressor can be obtained according to the air compressor system model, the flow parameters and the threshold pressure parameters of the real-time gas consumption points, and the air compressor system model is determined according to the pipeline flow, the pressure relation and the constraint relation of each node. When the demand of using the gas point changes, can be according to the pressure parameter of model in order optimizing the air compressor machine, avoid present satisfying the gas demand of using the gas point through setting for higher pressure parameter, can't realize optimizing the extravagant problem that leads to, this application reduces extravagant while energy saving.
In addition, the application also provides a processing device and a medium of the air compressor system, and the processing device and the medium have the same beneficial effects as the processing method of the air compressor system.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of a processing method of an air compressor system according to an embodiment of the present disclosure;
FIG. 2 is a schematic view of a compressed air system of an aluminum electrolysis enterprise provided by an embodiment of the application;
FIG. 3 is a mapping topology of the present application based on a compressed air system;
fig. 4 is a flowchart of another processing method of an air compressor system according to an embodiment of the present disclosure;
fig. 5 is a structural diagram of a processing device of an air compressor system according to an embodiment of the present disclosure;
fig. 6 is a structural diagram of another processing device of an air compressor system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
The core of the application is to provide a processing method, a device and a medium of an air compressor system, which are used for avoiding the problem that the existing air consumption demand of each air consumption point is met by setting a higher pressure parameter, the waste caused by optimization cannot be realized, the waste is reduced, and the energy consumption is saved.
In most industrial enterprises, 10% to 20% of the total energy consumption of the enterprise will be applied to the compressed air system. At present, huge energy loss exists in the use process of a compressed air system, so that all links of the system need to be modified and upgraded in a targeted manner, effective energy-saving and environment-friendly measures are implemented, and an air compressor control method is optimized, so that the purposes of reducing operation energy consumption, saving energy, reducing emission and reducing the operation cost of enterprises are achieved. The existing air compressor system has no optimized model aiming at an electrolytic aluminum plant, for example, the electrolytic aluminum plant which is not subjected to digital transformation lacks flow and pressure data required by model building, and the flow, pressure and other data can be measured by a digital instrument in various workshops, pipelines, gas terminals and other places. Based on the work specificity of the electrolytic aluminum workshop, if an instrument is added in the production process, the current production work of the electrolytic aluminum factory is suspended, redesign is needed, and the daily work of the electrolytic aluminum factory is influenced. Other methods are used to estimate the flow and pressure in the aluminum electrolysis plant. The treatment method of the air compressor system is not only suitable for an electrolytic aluminum plant, but also suitable for various application scenes for installing the air compressor system, and is not limited herein.
In order that those skilled in the art will better understand the disclosure, the following detailed description is given with reference to the accompanying drawings.
Fig. 1 is a flowchart of a processing method of an air compressor system according to an embodiment of the present application, and as shown in fig. 1, the processing method includes:
s11: acquiring flow parameters and threshold pressure parameters of all gas points in an air compressor system;
s12: calling an air compressor system model to input flow parameters and threshold pressure parameters of each gas point;
s13: acquiring output parameters of an air compression station in an air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station;
the system model of the air compressor is determined according to a constraint relation and the pipeline flow and pressure relation of the pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the law of conservation of each node and the flow and pressure;
the pressure source assembly, each pressure collection assembly and the pipeline assembly are obtained through an air compression station, each air consumption point in the air compressor system and pipeline mapping between the air compression station and each air consumption point respectively.
Specifically, the flow parameters and the threshold pressure parameters of the respective gas utilization points are obtained, and the pressure parameters of the air machine can set corresponding maximum pressure parameters corresponding to the pressure parameter requirements of the gas utilization points, and generally, the minimum pressure parameters are used as the threshold pressure parameters to solve the supply pressure corresponding to different pressure parameter requirements so as to meet the gas utilization requirements of the respective gas utilization points.
And inputting the flow parameters and the threshold pressure parameters of all the gas points into the established model to obtain the optimized pressure parameters of the current pressure station.
Fig. 2 is a schematic view of a compressed air system of an electrolytic aluminum enterprise provided by an embodiment of the present application, as shown in fig. 2, arrows indicate the flowing direction of compressed air, and fig. 2 is obtained by simplifying the arrangement of pipes according to an actual compressed air system.
As an embodiment, the number of air compression stations is at least one;
the gas consumption points at least comprise a repair workshop, a ladle workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material beating point.
As shown in fig. 2, compressed air is produced by air compression stations, and a compressed air system may have n air compression stations, n > 0. Each air pressure station is internally provided with a plurality of compressors, the embodiment does not relate to joint adjustment or optimization among the air compressors, and the set pressure value of each air compressor can be set, or the set pressure value of the air pressure station can be provided by a plurality of air compressors as an integral air pressure station, or each air pressure station provides independent set pressure values, namely n air pressure stations provide n set pressure values.
Except the air compression station, other are the gas consumption point, it should be explained that the gas consumption point of electrolytic aluminum factory and the characteristics of corresponding workshop have:
1. the pressure of the material beating point is low but the flow demand is large, the randomness of gas utilization is strong, and the rule is lacked;
2. the pressure requirement of the anode plant is high but the flow is small;
3. the whole electrolytic plant comprises a plurality of sub-plants, and generally adopts a ring pipeline to convey compressed air. The electrolytic plant has large magnetic field intensity and large electric field intensity, and is not suitable for installing meters such as a flowmeter, a pressure gauge and the like.
The air compression station is connected with each gas utilization point through a pipeline, and the gas is transmitted to each gas utilization point from the air compression station through the pipeline. The establishment of the model requires data such as flow and pressure of gas production points and gas consumption points, so that the data such as gas consumption flow, pressure, temperature and the like of compressed air in outlet pipelines of the air compression station and inlet pipelines of each gas consumption terminal are required to be collected, and the data can be transmitted to a big data platform in a wired or wireless mode.
And mapping an air pressure station, each air pressure point, an air pressure station and a pipeline of each air pressure point in the air compressor system into a pressure source/sink assembly and a pipeline assembly. Considering all the potrooms as a whole, as a potroom, there are three basic components in fig. 2: the system comprises a gas production point (air pressure station), a pipeline and a gas utilization point, wherein the air pressure station and the gas utilization point are only different in the flow direction of compressed air, and the compressed air flows from the gas production point to the gas utilization point. Therefore, the three basic components in fig. 2 can be mapped into three basic components (a pressure source component, a pressure sink component, and a pipeline component), which are not specifically limited in this embodiment. Fig. 3 is a mapping topological diagram of the compressed air system according to the present invention, as shown in fig. 3, the components are represented in the boxes (Source 1 is a pressure Source component, sink1-10 is a pressure Sink component), the straight lines are the pipelines, and the points that meet in the pipeline components are nodes, i.e., points represented by circles, for example, the points where the pipelines B1, S1, C1, E1, D1, A1 meet are a node. The point where Source1 and S1 meet is also a node. The pressure source assembly and the pressure sink assembly are represented by boxes.
And determining the pipeline flow relation through the pressure parameter and the flow parameter of the pipeline assembly. It should be noted that the piping assembly is established based on a pressure source assembly and a pressure sink assembly, and the piping assembly between the pressure sink assemblies includes a plurality of ports, and the pressure effect borne by each port may be the same or different, some of which are inlet pressures and some of which are outlet pressures. Correspondingly, in the present embodiment, only the starting and ending interfaces of the corresponding pressure Source assembly or pressure Sink assembly in the pipe assembly are focused, as shown in fig. 3, the interfaces of the corresponding pipe assemblies in the pressure Source assembly Source1 and the pressure Sink assembly Sink8 are more, and only the interface connected with Source1 and the interface connected with Sink8 are focused, which are parameters corresponding to the outlet pressure and the inlet pressure, respectively. The relationship between the flow rate and the pressure of the pipeline is determined according to the relationship between the two pressure parameters and the flow parameters, the relationship between the flow rate and the pressure of the pipeline is established based on a motion equation of conservation of fluid mass, and the specific equation is not limited in the embodiment and can be any motion equation of conservation of fluid mass. And constraining the pipeline components passing through each node and the pressure parameters and the flow parameters corresponding to the pressure components through the constraint relation determined by each node and the flow and pressure conservation law. The inflow flow rate is equal to the outflow flow rate according to the law of conservation of flow rate, and the sum of the flow rates is 0 due to different flow rate directions. The pressure in each node is equal according to the law of conservation of earth pressure.
And the air compressor system model is determined according to the constraint relation and the relation between the pipeline flow and the pressure. The resistance coefficient in the relation between the pipeline flow and the pressure of the pipeline assembly is determined by the established objective function, and the objective function is determined according to the error between the minimized actual value and the calculated value.
After the air compressor system model is established, appropriate supply pressure can be obtained according to the actual demand of an air using end, namely the pressure parameter corresponding to the air compressor.
The application provides a processing method of an air compressor system, which comprises the following steps: acquiring flow parameters and threshold pressure parameters of all gas points in an air compressor system; calling an air compressor system model to input flow parameters and threshold pressure parameters of each air point; acquiring output parameters of an air compression station in an air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station; the system model of the air compressor is determined according to a constraint relation and the pipeline flow and pressure relation of the pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the law of conservation of each node and the flow and pressure; the pressure source assembly, each pressure collection assembly and the pipeline assembly are obtained through an air compression station, each air consumption point in the air compressor system and pipeline mapping between the air compression station and each air consumption point respectively. According to the method, the pressure parameters of the air compressor can be obtained according to the air compressor system model, the flow parameters and the threshold pressure parameters of the real-time gas consumption points, and the air compressor system model is determined according to the pipeline flow, the pressure relation and the constraint relation of each node. When the demand of using the gas point changes, can be according to the pressure parameter of model in order optimizing the air compressor machine, avoid present satisfying the gas demand of using the gas point through setting for higher pressure parameter, can't realize optimizing the extravagant problem that leads to, this application reduces extravagant while energy saving.
On the basis of the above embodiment, the determining process of the relationship between the flow rate and the pressure of the pipeline in step S12 specifically includes:
acquiring a pressure parameter to be inlet, a pressure parameter to be outlet and a volume flow parameter to be standard condition corresponding to the pipeline assembly;
obtaining a flow control equation of the pipeline assembly through a fluid mass conservation equation and an NS equation for the pressure parameter to be inlet, the pressure parameter to be outlet and the volume flow parameter to be standard condition;
acquiring a resistance coefficient of the pipeline assembly, and determining the relationship between the resistance coefficient and a volume flow parameter of a standard condition to obtain a resistance flow equation;
and determining the relation between the pipeline flow and the pressure according to the relation between the flow control equation and the resistance flow equation.
Specifically, the flow parameters and the pressure parameters of each gas consumption point and each pressure station are known, and the pressure parameter to be inlet, the pressure parameter to be outlet and the volume flow parameter to be standard condition, which correspond to the pipeline assembly, are obtained.
In addition, due to the particularity of the electrolytic plant, when the instrument is installed for the first time, the flow parameter and the pressure parameter of each gas utilization point can be determined according to the mode of installing the instrument by the following two methods:
1. the flow and pressure gauge can be arranged at the inlet of each electrolytic sub-workshop, so that the gas consumption of each electrolytic sub-workshop can be accurately obtained;
2. all potrooms can be considered as a whole as a potroom, and then the corresponding meters are installed at the general entry location.
In the production process, the meter cannot be installed or the cost for installing the meter is high, and the pressure parameters of the gas consumption point can be determined in the following two ways:
1. taking the value with the highest gas pressure in each gas utilization point as the pressure value of the electrolytic workshop;
2. the pressure value of the electrolytic plant is taken as the data of the nearest pressure gauge of the electrolytic plant.
The meter cannot be installed or the cost for installing the meter is large, and the following two methods are used for determining the flow parameters of the gas consumption point:
1. reducing the gas flow rate of other user terminals outside the electrolytic plant by using the total outlet flow rate of the air compression station;
2. and (4) counting the actual gas consumption according to the actual working pressure of the actual gas consumption point of the electrolytic plant, the gas consumption frequency, the gas consumption time, the diameter of the gas outlet valve and the opening degree of the valve.
In any case, the flow parameters and the pressure parameters (including the flow parameters and the pressure parameters for obtaining the gas points for the electrolytic plant) of each gas point corresponding to the embodiment are not limited, and the corresponding flow parameters and the corresponding pressure parameters can be obtained according to the actual conditions of installing the instrument.
And substituting the pressure parameter to be input, the pressure parameter to be output and the volume flow parameter to be standard condition into a flow control equation corresponding to the pipeline assembly through a fluid mass conservation equation and an NS equation.
Specifically, the ideal fluid differential equation expresses the relationship between the force acting on a unit mass of fluid and the acceleration of fluid motion, is a fundamental equation of fluid dynamics, and is applicable to both incompressible and compressible fluids and to the motion of all ideal fluids. In the present embodiment, a motion equation of the incompressible fluid mass conservation is considered, and a Navier-Stokes equation (NS) is a nonlinear differential equation. Including the speed of movement of the fluid, pressure, density, viscosity, temperature, etc., as a function of spatial position and time. In general, for general fluid kinematics problems. The NS equation needs to be solved simultaneously in combination with mass conservation, energy conservation, thermodynamic equations, and material properties of the medium. Due to its complexity, it is usually possible to solve only by means of computer numerical calculations under given boundary conditions.
As an example, the pressure parameter p to be introduced in To-be-discharged pressure parameter p out And a volume flow parameter q of the condition to be calibrated m And the relation between the two interfaces is established through an NS equation. In order to facilitate subsequent parameter identification and model calibration, factors influencing the resistance are concentrated in the resistance coefficient R. As the compressed air flows in the duct assembly, the governing equation for the duct flow, according to the one-dimensional steady-state form of the NS equation, approximates the following equation:
because the resistance coefficient R of the pipeline changes along with the flow, the resistance flow equation is determined by the relationship between the resistance coefficient and the volume flow parameter of the standard condition, which is as follows:
R＝R 0 +R 1 q m
wherein R is 0 Is the drag coefficient 1,R 1 The resistance coefficient 2 is a coefficient value obtained by dividing the pressure data by the flow data squared.
Substituting the formula into the above formula, namely determining the relationship between the pipeline flow and the pressure according to the relationship between the flow control equation and the resistance flow equation, and obtaining the formula as follows:
according to the determination process of the pipeline flow and the pressure relation, provided by the embodiment of the application, the established model is targeted by means of the pipeline flow and the pressure relation determined by the pressure parameters and the flow parameters of the pipeline assembly in the process of the fluid momentum conservation equation, and a restrictive reference is provided for the subsequent model establishment.
On the basis of the above embodiment, the determining process of the constraint relationship specifically includes:
acquiring the air flow direction of the pipeline assembly corresponding to each node;
determining the pressure relation corresponding to each node according to the pressure parameters corresponding to each air flow direction, the pressure source assembly, each pressure sink assembly and the pipeline assembly and the pressure conservation law;
determining the flow relation corresponding to each node according to the flow direction of each air, the flow parameters corresponding to the pressure source components, the pressure sink components and the pipeline components and the flow conservation law;
and determining the constraint relation of each node according to the pressure relation and the flow relation.
Specifically, the air flow direction of the pipeline assembly corresponding to each node is obtained, and the pressure relationship corresponding to each node is determined according to the corresponding air flow direction, the pressure parameter of the pressure assembly, the pressure parameter of the pipeline assembly and the pressure conservation law. Taking the node in fig. 3 as an example, there are 6 pipe assemblies, and considering the directionality of the flow of the compressed air, it can be seen that:
p S1,out ＝p k,in ,k∈{B1,C1,E1,D1,A1}
the pipeline output pressure parameter of S1 is equal to the input pressure parameter of any other pipeline, taking the pipeline A1 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 pressures are equal.
Determining the flow relation according to the flow direction of each air, the flow parameters of the pressure source assembly, the pressure sink assemblies, the flow parameters of the pipeline assembly and the flow conservation law, wherein the flow direction is added with the flow data to ensure that the flow exists as vector data, the flow of the pressure station is equal to the inflow flow of each air point, and the flow is 0 as the final sum of the vector data, namely sigma q i,m ＝0i,∈{B S1 C,E1 D，A1},。
The constraint relation of each node is determined according to the pressure relation and the flow relation, and it can be understood that each node is not only the node data provided in fig. 3, but also a plurality of interfaces can be set in the pipeline assembly according to the actual situation so that the number of the nodes determined between the interfaces is different, and each node establishes the corresponding constraint relation.
In the determining process of the restrictive relationship provided by the embodiment of the application, the restrictive relationship is established through the pressure parameter and the flow parameter corresponding to the pipeline assembly and the pressure assembly, so that the correlation coefficient of the pipeline assembly is conveniently obtained subsequently, and the established model is relatively perfect.
On the basis of the above embodiment, the process of determining the drag coefficient specifically includes:
according to the actual pressure data of the pressure source component, each pressure sink component and the actual standard condition volume flow data of the corresponding pipeline component, the pipeline flow and pressure relation is deformed to obtain a current error function, wherein the actual standard condition volume flow data is determined according to the constraint relation, the pressure source component and the actual pressure data of each pressure sink component;
calling current error functions of the pressure source components corresponding to the pressure sink components;
summarizing the current error functions to obtain a total error function;
acquiring 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 pipeline component into a total error function to obtain a current error value;
carrying out minimization processing on a total error function according to the current error value and a current preset resistance coefficient to obtain a target function;
and determining the processed resistance coefficient as the final resistance coefficient according to the target function.
Specifically, the actually measured pressure source assembly, the actual pressure data corresponding to each pressure sink assembly, and the actual standard condition volume flow data of the corresponding pipe assembly between the pressure source assembly and each pressure sink assembly are obtained. And determining actual standard condition volume flow data of the pipeline assembly between each pressure sink assembly and the pressure source assembly according to the constraint relation, the pressure source assembly and the actual pressure data of each pressure sink assembly.
Equation corresponding to pipeline flow relation
And (3) deforming, namely deforming the relationship between the flow and the pressure of the pipeline 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, and expressing the error by Delta, namely obtaining a specific formula of a current error function by using the deformed relationship between the flow and the pressure of the pipeline as follows:
where i denotes a pressure sink assembly and j denotes all the conduits between the pressure source assembly and each pressure sink assembly i.
Because there are a plurality of error functions between the pressure source assembly and each pressure sink assembly, it is necessary to call each current error function of the pressure source assembly corresponding to each pressure sink assembly, and summarize each current error function to obtain a total error function. And obtaining a current preset resistance coefficient, and adjusting the preset resistance coefficient to determine a final resistance coefficient after obtaining a result according to the preset resistance coefficient.
And inputting the actual pressure data corresponding to the pressure source component, each pressure sink component, the current preset resistance system and each actual standard condition volume flow data into a total error function to obtain a current error value between the pressure source component and each pressure sink component.
For example, in fig. 3, the pressure Source assembly Source1, the pressure Sink assembly Sink5, and the middle pipe have B1 and C1, and the corresponding error value formula is:
the above error values of only one pressure source assembly and one pressure sink assembly are collected according to the error values obtained by the plurality of pressure sink assemblies corresponding to the plurality of pressure sources to obtain the current error value, i.e. Σ Delta.
And carrying out minimization processing on a total error function according to the current error value and a current preset resistance coefficient to obtain a target function. It should be noted that the minimization process of the total error function may be a difference process or a derivation process, and in order to obtain the accuracy of the resistance coefficient, the difference process is selected as the minimization process in the present embodiment. The determined corresponding resistance coefficient of the objective function is the processed resistance coefficient, namely the final resistance coefficient.
As an embodiment, the minimizing the total error function according to the current error value and the current preset resistance coefficient to obtain the objective function includes:
inputting the current error value and a current preset resistance coefficient into a total error function to obtain a corresponding current difference result;
adjusting the current preset resistance coefficient according to the current difference result to obtain a new current preset resistance coefficient, and returning to the step of inputting the current preset resistance coefficient, the pressure source assembly, the actual pressure data of each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value until the current error value is smaller than the threshold value;
when the current error is smaller than the threshold value, the corresponding total error function is a target function;
wherein, adjust the current preset resistance coefficient according to the current difference result and obtain new current preset resistance coefficient, include:
under the condition that the current difference result is larger than 0, reducing a preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient;
and under the condition that the current difference result is less than 0, increasing a preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient.
It should be noted that, during the minimization process, the current error value and the current preset resistance coefficient are input to the total error function to obtain the corresponding current difference result. And adjusting the current preset resistance coefficient according to the difference result, and returning the adjusted resistance coefficient to the determination step of the current error value to calculate the next current error value, so that the subsequent current error value is smaller than the threshold value through the adjustment of the preset resistance coefficient point by point.
If the current error value is smaller than the threshold value, the resistance coefficient is stopped to be adjusted, the preset resistance coefficient of the current error value is obtained and is used as the final resistance coefficient, and the corresponding total error function is the target function at the moment. Correspondingly, a strategy for adjusting the current preset resistance coefficient according to the difference result is adopted, specifically, when the current difference result is greater than 0, the preset step length is reduced on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient; and when the current difference result is less than 0, increasing a preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient. It can be understood that the preset step length may be the same or different in each adjustment process, or in the case of different difference results, the preset step length in the adjustment strategy may be the same or different, and is not limited herein, and may be set according to actual conditions. The step value for adjusting the step length is not limited in the present invention, and the step values for increasing or decreasing may be the same or different, and may be set according to actual conditions.
The model can be written by a programming language, which is not specifically limited, and may be written by an open source language such as python and julia, or commercial software such as matlab.
In the process of determining the resistance coefficient provided by this embodiment, when the error value is minimized by the objective function to determine the resistance coefficient, the model is constructed based on the data of the electrolytic plant and based on the mechanism knowledge, and the model is based on the CAD engineering drawing of the air compressor system and the corresponding fluid mechanics related principle, so that the established model can truly reflect the actual state by not only relying on the acquired real data.
On the basis of the above embodiment, the method further includes:
acquiring a current pressure parameter of the air compression station;
calling an air compressor system model to input a current pressure parameter;
acquiring pressure parameters of current gas points output by an air compressor system model;
judging whether the pressure parameters of the current gas points meet preset requirements, wherein the preset requirements are that the number of the pressure parameters of the current gas points serving as threshold values reaches a preset number;
if so, taking the current pressure parameter as a final pressure parameter;
if not, determining a descending step length by a segmented descending method;
and determining the next current pressure parameter according to the current pressure parameter and the descending step length, and returning to the step of calling in the air compressor system model to input the current pressure parameter.
Specifically, in order to ensure production safety and production stability, it is impossible to reduce the set pressure to the optimized pressure parameter given by the model at one time, so that the current pressure parameter of the air compressor station needs to be obtained, and the current pressure parameter is input to the air compressor system model to obtain the pressure parameter of each current gas point;
and judging whether the pressure parameters of the current gas points meet preset requirements, if so, indicating that the current pressure parameters are final pressure parameters, namely optimizing the pressure parameters. If not, the pressure parameter needs to be reduced on the basis of the current pressure parameter, and the pressure parameter is slowly reduced according to a certain value. The preset requirement is set based on the pressure requirements of the gas consumption points, and as an embodiment, the preset requirement is that when the pressure parameters of the gas consumption points reach a preset number, the pressure parameters are determined not to need to be decreased. When the preset requirement is not met, determining the descending step length by a piecewise descending method, where it can be understood that the descending step length is equal or not equal in each descending, and this embodiment is not specifically limited, and as an embodiment, the step lengths are the same. For example, the actual set pressure value of the factory is 6bar, the optimal set pressure value given by the model is 5bar, at this time, table 1 can be calculated according to the model, and table 1 is a gas point pressure comparison table corresponding to different perinatal pressures. The table shows the corresponding gas usage point pressures for different supply pressures and gas usage point flow rates.
TABLE 1 comparison table of different pressures in term of delivery to corresponding gas point pressures
When the subsection descending method is adopted, the actual set pressure value of the air compression station can be firstly reduced from 6bar to 5.9bar, so that severe influence on factory production cannot be caused, and the model can be verified by comparing the actual gas consumption point pressure value with the calculated gas consumption point pressure value. After a period of operation at the set pressure value of 5.9bar, it can continue to drop until the requirements are met.
And when the pressure of each gas point is reduced by one step length every time, determining the next current pressure parameter according to the current pressure parameter and the reduction step length, and then obtaining the corresponding pressure parameters of the current gas points to judge whether the preset requirements are met or not until the preset requirements are met.
Regarding the obtaining of the critical pressure parameter, at least one of the following manners may be included:
obtaining a standard gas pressure value according to a production operation manual or the requirement of an operation rule;
obtaining an empirical gas pressure value according to the experience of a field operator;
and (5) calculating the actual gas utilization pressure value according to historical data.
The embodiment is not particularly limited, and may be obtained according to actual conditions.
The embodiment provides that the optimized pressure parameter is determined by a step-down method in actual production. Ensuring the production safety and the production stability.
As an embodiment, fig. 4 is a flowchart of another processing method of an air compressor system according to an embodiment of the present application, and as shown in fig. 4, the processing method includes:
s21: acquiring flow pressure data of a gas production end and a gas utilization section;
s22: judging whether a measuring instrument can be installed in the electrolytic plant, if so, entering a step S23; if not, the step S24 is carried out;
s23: estimating flow pressure data of the electrolytic plant;
s24: drawing a simplified topological graph according to the system;
s25: constructing a model according to a topological graph and a fluidics principle;
s26: training the model to obtain the value of the resistance coefficient R;
s27: obtaining minimum demand pressure data of a gas end;
s28: calculating an optimal set pressure;
s29: and calculating the gas end pressure corresponding to different supply pressures.
For another introduction method of the air compressor system provided in the present application, please refer to the above method embodiment, which is not described herein again, and has the same beneficial effects as the above method of the air compressor system.
On the basis that the above detailed descriptions of the various embodiments corresponding to the processing method of the air compressor system, the present application further discloses a processing device of the air compressor system corresponding to the above method, and fig. 5 is a structural diagram of the processing device of the air compressor system provided in the embodiments of the present application. As shown in fig. 5, the treating device of the air compressor system includes:
the acquiring module 11 is used for acquiring flow parameters and threshold pressure parameters of various gas points in the air compressor system;
the calling-in module 12 is used for calling in an air compressor system model so as to input flow parameters and threshold pressure parameters of each gas point;
the output module 13 is used for acquiring output parameters of an air compression station of the air compressor system model, and taking the output parameters as optimized pressure parameters of the air compression station;
the system model of the air compressor is determined according to a constraint relation and the pipeline flow and pressure relation of the pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the law of conservation of each node and the flow and pressure;
the pressure source assembly, each pressure sink assembly and the pipeline assembly are respectively obtained through an air pressure station, each air point and pipeline mapping between the air pressure station and each air point in the air compressor system.
Since the embodiment of the apparatus portion corresponds to the above-mentioned embodiment, the embodiment of the apparatus portion is described with reference to the embodiment of the method portion, and is not described again here.
For the introduction of the processing apparatus of an air compressor system provided in the present application, please refer to the above method embodiment, which is not described herein again, and has the same beneficial effects as the processing method of the air compressor system.
Fig. 6 is a structural diagram of another processing device of an air compressor system according to an embodiment of the present application, and as shown in fig. 6, the device includes:
a memory 21 for storing a computer program;
and the processor 22 is used for realizing the steps of the processing method of the air compressor system when executing the computer program.
The processing device of the air compressor system provided by this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like.
The processor 22 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The Processor 22 may be implemented in hardware using at least one of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), and a Programmable Logic Array (PLA). The processor 22 may also include a main processor and a coprocessor, the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 22 may be integrated with a Graphics Processing Unit (GPU) that is responsible for rendering and rendering content that the display screen needs to display. In some embodiments, processor 22 may also include an Artificial Intelligence (AI) processor for processing computational operations related to machine learning.
Memory 21 may include one or more computer-readable storage media, which may be non-transitory. Memory 21 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 21 is at least used for storing the following computer program 211, wherein after the computer program is loaded and executed by the processor 22, the relevant steps of the processing method of the air compressor system disclosed in any one of the foregoing embodiments can be implemented. In addition, the resources stored in the memory 21 may also include an operating system 212, data 213, and the like, and the storage manner may be a transient storage or a permanent storage. Operating system 212 may include Windows, unix, linux, etc., among others. Data 213 may include, but is not limited to, data related to the processing method of the air compressor system, and the like.
In some embodiments, the processing device of the air compressor system may further include a display screen 23, an input/output interface 24, a communication interface 25, a power supply 26, and a communication bus 27.
Those skilled in the art will appreciate that the configuration shown in fig. 6 does not constitute a limitation of the handling means of the air compressor system and may include more or fewer components than those shown.
The processor 22 calls the instructions stored in the memory 21 to implement the processing method of the air compressor system provided in any of the above embodiments.
For the introduction of the processing apparatus of an air compressor system provided in the present application, please refer to the above method embodiment, which is not described herein again, and has the same beneficial effects as the processing method of the air compressor system.
Further, the present application also provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by the processor 22, implements the steps of the processing method of the air compressor system as described above.
It is to be understood that if the method in the above embodiments is implemented in the form of software functional units and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods described in the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again, and have the same beneficial effects as the above processing method of the air compressor system.
The processing method of the air compressor system, the processing device of the air compressor system and the medium provided by the application are described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. The treatment method of the air compressor system is characterized by comprising the following steps:
acquiring flow parameters and threshold pressure parameters of all gas points in an air compressor system;
calling an air compressor system model to input flow parameters and threshold pressure parameters of the air consumption points;
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;
the air compressor system model is determined according to a constraint relation and a pipeline flow and pressure relation of a pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the conservation law of each node and the flow and the pressure;
the pressure source assembly, the pressure sink assemblies and the pipeline assembly are respectively obtained through the air compression station, the air utilization points and the pipeline mapping between the air compression station and the air utilization points in the air compressor system.
2. The processing method of the air compressor system according to claim 1, wherein the process of determining the relationship between the flow rate of the pipeline and the pressure specifically comprises the following steps:
acquiring a pressure parameter to be inlet, a pressure parameter to be outlet and a volume flow parameter to be standard condition corresponding to the pipeline assembly;
obtaining a flow control equation of the pipeline assembly through the fluid mass conservation equation and the NS equation for the pressure parameter to be inlet, the pressure parameter to be outlet and the volume flow parameter to be standard condition;
acquiring a resistance coefficient of the pipeline assembly, and determining the relationship between the resistance coefficient and the volume flow parameter of the condition to be calibrated to obtain a resistance flow equation;
and determining the relationship between the pipeline flow and the pressure according to the relationship between the flow control equation and the resistance flow equation.
3. The processing method of the air compressor system according to claim 2, wherein the determining process of the constraint relationship specifically includes:
acquiring the air flow direction of the pipeline assembly corresponding to each node;
determining a pressure relation corresponding to each node according to each air flow direction, the pressure source assembly, the pressure sink assemblies, the pressure parameters corresponding to the pipeline assembly and the pressure conservation law;
determining a flow relation corresponding to each node according to the flow direction of each air, the pressure source assembly, the flow parameters corresponding to each pressure sink assembly and the pipeline assembly and the flow conservation law;
and determining the constraint relation of each node according to the pressure relation and the flow relation.
4. The processing method of the air compressor system according to claim 3, wherein the process of determining the resistance coefficient specifically comprises:
according to the pressure source assembly, the actual pressure data of each pressure sink assembly and the corresponding actual standard condition volume flow data of the pipeline assembly, deforming the pipeline flow and pressure relationship to obtain a current error function, wherein the actual standard condition volume flow data is determined according to the constraint relationship, the pressure source assembly and the actual pressure data of each pressure sink assembly;
calling each current error function of each pressure sink assembly corresponding to the pressure source assembly;
summarizing the current error functions to obtain a total error function;
acquiring the current preset resistance coefficient;
inputting the currently preset resistance coefficient, the pressure source assembly, the actual pressure data of each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value;
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;
and determining the processed resistance coefficient as the final resistance coefficient according to the objective function.
5. The method for processing the air compressor coefficient according to claim 4, wherein the minimizing the total error function according to the current error value and the currently preset resistance coefficient to obtain an objective function comprises:
inputting the current error value and the current preset resistance coefficient into the total error function to obtain a corresponding current difference result;
adjusting the currently preset resistance coefficient according to the current difference result to obtain a new currently preset resistance coefficient, and returning to the step of inputting the currently preset resistance coefficient, the pressure source assembly, the actual pressure data of each pressure sink assembly and the actual standard condition volume flow data of the corresponding pipeline assembly into the total error function to obtain a current error value until the current error value is smaller than a threshold value;
when the current error is smaller than the threshold value, the corresponding total error function is the target function;
wherein the adjusting the current preset resistance coefficient according to the current difference result to obtain a new current preset resistance coefficient includes:
when the current difference result is larger than 0, reducing a preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient;
and under the condition that the current difference result is less than 0, increasing the preset step length on the basis of the current preset resistance coefficient to obtain a new current preset resistance coefficient.
6. The method for processing the air compressor system according to any one of claims 1 to 5, further comprising:
acquiring a current pressure parameter of the air compression station;
calling the air compressor system model to input the current pressure parameter;
acquiring pressure parameters of current various gas points output by the air compressor system model;
judging whether the pressure parameters of the current gas utilization points meet preset requirements, wherein the preset requirements are that the number of the pressure parameters of the current gas utilization points is the preset number;
if so, taking the current pressure parameter as a final pressure parameter;
if not, determining a descending step length by a segmented descending method;
and determining the next current pressure parameter according to the current pressure parameter and the descending step length, and returning to the step of calling the air compressor system model to input the current pressure parameter.
7. The handling method of the air compressor system according to claim 1, wherein the number of the air compressor stations is at least one;
the gas consumption points at least comprise a repair workshop, a ladle workshop, a raw material warehouse, a cathode workshop, a casting workshop, an anode workshop, an electrolysis workshop and a material beating point.
8. The utility model provides a processing apparatus of air compressor machine system which characterized in that includes:
the acquisition module is used for acquiring flow parameters and threshold pressure parameters of all gas points in the air compressor system;
the calling-in module is used for calling in an air compressor system model so as to input the flow parameters and the threshold pressure parameters of the air consumption points;
the output module is used for acquiring output parameters of an air compression station of the air compressor system model and taking the output parameters as optimized pressure parameters of the air compression station;
the air compressor system model is determined according to a constraint relation and a pipeline flow and pressure relation of a pipeline assembly, wherein the constraint relation is the constraint relation of each node among the pressure source assembly, each pressure sink assembly and the pipeline assembly and is determined according to the conservation law of each node and the flow and the pressure;
the pressure source assembly, the pressure sink assemblies and the pipeline assembly are respectively obtained through the air compression station, the air utilization points and the pipeline mapping between the air compression station and the air utilization points in the air compressor system.
9. The processing device of the air compressor system is characterized by comprising a memory, a control unit and a control unit, wherein the memory is used for storing a computer program;
a processor for implementing the steps of the processing method of the air compressor system according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, realizes the steps of the processing method of the air compressor system according to any one of claims 1 to 7.
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