Component cooperative type selection based pneumatic positive pressure circuit component type selection method and device

CN122797178APending Publication Date: 2026-09-22HITOP IND HLDG
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Patent Information

Application Number
CN202611272686.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-08-21
Publication Date
2026-09-22

AI Technical Summary

Technical Problem

[0004]本发明实施例提供了一种基于组件协同选型的气动正压回路组件选型方法及装置,旨在解决现有技术方法中用于气动正压回路的选型方法所存在的选型准确性不足的问题

Benefits of technology

[0009]本发明实施例提供了一种基于组件协同选型的气动正压回路组件选型方法及装置;方法包括:接收所输入的选型配置参数,根据预置的标准配置表获取与所述选型配置参数对应的组件关联参数;根据预置的容积动态解析模型对所述组件关联参数进行解析,得到对应的容积特征参数;根据预置的组件协同解析规则对所述组件关联参数及所述容积特征参数进行协同解析,得到对应的协同解析参数;根据预置的选型配置数据库获取与所述组件关联参数及所述协同解析参数对应的组件选型配置信息。本申请通过协同解析获取相应协同解析参数并对应获取组件选型配置信息,从而实现协调确定气动正压回路中各组件的选型,提高气动正压回路中各组件选型的准确性。

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Abstract

The application discloses a kind of based on component collaborative type selection pneumatic positive pressure loop component type selection method and device;Method includes: receiving the type selection configuration parameter input, obtains the component associated parameter corresponding to the type selection configuration parameter according to the standard configuration table of preposition;According to the volume dynamic analysis model of preposition, the component associated parameter is analyzed, and corresponding volume characteristic parameter is obtained;According to the component collaborative analysis rule of preposition, the component associated parameter and the volume characteristic parameter are collaboratively analyzed, and corresponding collaborative analysis parameter is obtained;According to the type selection configuration database of preposition, the component type selection configuration information corresponding to the component associated parameter and the collaborative analysis parameter is obtained.This application obtains corresponding collaborative analysis parameter by collaborative analysis and correspondingly obtains component type selection configuration information, to realize the type selection of each component in pneumatic positive pressure loop, improve the accuracy of each component type selection in pneumatic positive pressure loop.
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Description

Technical Field

[0001] This invention relates to the technical field of intelligent selection of industrial components, and in particular to a method and apparatus for selecting pneumatic positive pressure loop components based on collaborative component selection. Background Technology

[0002] A positive pressure circuit refers to a pneumatic circuit that uses equipment such as an air compressor to generate compressed air at pressures higher than atmospheric pressure, and then outputs power or transports materials through control and actuator elements. As an auxiliary functional component of cylinders, pneumatic positive pressure circuits are widely used in industries such as automotive manufacturing, electronic assembly, food packaging, and pharmaceuticals. A pneumatic positive pressure circuit typically consists of a combination of various components, including an air source, control elements (such as speed control valves, flow regulating valves, and solenoid valves), actuators (such as cylinders and pneumatic motors), and auxiliary components (such as pipelines, connectors, and mufflers). In practical engineering applications, the selection of each component in the pneumatic positive pressure circuit must be adapted to the operating conditions of the cylinder.

[0003] However, in existing technologies, the selection of components for pneumatic positive pressure circuits typically relies on the experience of technicians and matching with standard product manuals. This experience-based matching method fails to perform a collaborative analysis of the interrelationships between components, resulting in poor coordination of the selected component information within the pneumatic positive pressure circuit. This makes accurate and efficient component selection difficult. Therefore, the selection methods used for pneumatic positive pressure circuits suffer from insufficient accuracy. Summary of the Invention

[0004] This invention provides a method and apparatus for selecting pneumatic positive pressure circuit components based on component collaborative selection, aiming to solve the problem of insufficient selection accuracy in existing methods for selecting pneumatic positive pressure circuits.

[0005] In a first aspect, embodiments of the present invention provide a method for selecting pneumatic positive pressure loop components based on component collaborative selection, the method comprising: Receive the input selection configuration parameters, and obtain the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table; The component-related parameters are analyzed according to the preset volume dynamic analysis model to obtain the corresponding volume feature parameters; The component association parameters and volume feature parameters are collaboratively parsed according to the preset component collaborative parsing rules to obtain the corresponding collaborative parsing parameters; The component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters is obtained from the preset selection configuration database.

[0006] Secondly, embodiments of the present invention provide a pneumatic positive pressure loop component selection device based on component collaborative selection, wherein the device applies the pneumatic positive pressure loop component selection method based on component collaborative selection as described in the first aspect above, and the device includes: The component association parameter acquisition unit is used to receive the input selection configuration parameters and obtain the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table. The volume feature parameter acquisition unit is used to parse the component association parameters according to the preset volume dynamic analysis model to obtain the corresponding volume feature parameters. The collaborative parsing parameter acquisition unit is used to perform collaborative parsing on the component association parameters and the volume feature parameters according to the preset component collaborative parsing rules, so as to obtain the corresponding collaborative parsing parameters; The component selection configuration information acquisition unit is used to acquire component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters according to a preset selection configuration database.

[0007] Thirdly, embodiments of the present invention also provide a pneumatic positive pressure loop component selection device based on component collaborative selection, wherein the device includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes a program stored in memory, it implements the pneumatic positive pressure circuit component selection method based on component collaborative selection as described in the first aspect above.

[0008] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the pneumatic positive pressure circuit component selection method based on component collaborative selection as described in the first aspect above.

[0009] This invention provides a method and apparatus for selecting components in a pneumatic positive pressure loop based on component collaborative selection. The method includes: receiving input selection configuration parameters; obtaining component association parameters corresponding to the selection configuration parameters according to a preset standard configuration table; parsing the component association parameters according to a preset volume dynamic analysis model to obtain corresponding volume characteristic parameters; performing collaborative analysis on the component association parameters and the volume characteristic parameters according to preset component collaborative analysis rules to obtain corresponding collaborative analysis parameters; and obtaining component selection configuration information corresponding to the component association parameters and the collaborative analysis parameters according to a preset selection configuration database. This application obtains corresponding collaborative analysis parameters and corresponding component selection configuration information through collaborative analysis, thereby achieving coordinated determination of the selection of each component in the pneumatic positive pressure loop and improving the accuracy of component selection in the pneumatic positive pressure loop. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a flowchart of a pneumatic positive pressure loop component selection method based on component collaborative selection provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the pneumatic positive pressure loop component selection device based on component collaborative selection provided in an embodiment of the present invention; Figure 3 A schematic block diagram of a computer device provided in an embodiment of the present invention; Figure 4 The diagram shows the application effect of the pneumatic positive pressure circuit component selection device based on component collaborative selection provided in the embodiment of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0014] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0015] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0016] Please see Figure 1 , Figure 1 This is a flowchart illustrating a pneumatic positive pressure loop component selection method based on component collaborative selection, provided in an embodiment of the present invention. This method is applied to a terminal device. The method is executed by application software installed on the terminal device. The terminal device is used to execute the pneumatic positive pressure loop component selection method based on component collaborative selection, thereby determining the selection of each component in the pneumatic positive pressure loop based on selection configuration parameters. Examples of such devices include desktop computers, laptops, tablets, and mobile phones. Figure 1 As shown, the method includes steps S110 to S140.

[0017] S110. Receive the input selection configuration parameters and obtain the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table.

[0018] It can receive selection configuration parameters input by the user. These parameters are the basic configuration parameters for selecting and determining the cylinder model and solenoid valve model. For example, the selection configuration parameters include the working air pressure P, cylinder model, solenoid valve model, load mass m, ambient temperature Tc, and piping inner diameter d. tude and piping length L tube The cylinder model includes the cylinder type and its specific specifications. There are four main types of cylinders in pneumatic positive pressure circuits: single-rod double-acting cylinders, double-rod double-acting cylinders, and pistonless cylinders. The working methods of different types of cylinders are as follows: Figure 4 As shown.

[0019] In one embodiment, step S110 includes the following sub-steps: obtaining standard component parameters that match the basic component models in the selection configuration parameters according to the standard configuration table; and combining the standard component parameters with the basic configuration parameters in the selection configuration parameters to form the corresponding component association parameters.

[0020] Based on the standard configuration table, obtain the standard component parameters that match the basic component models in the selection configuration parameters. The basic component models include at least the cylinder model and the solenoid valve model. The standard configuration table contains standard parameters for the components corresponding to each model. By matching the specific model with the standard configuration table, the corresponding standard component parameters can be obtained from the standard configuration table.

[0021] For example, based on the cylinder model, the corresponding cylinder stroke L and maximum cylinder pressure P can be obtained from the standard configuration table. max Parameters such as cylinder bore D and piston bore d serve as standard cylinder parameters corresponding to the cylinder. Based on the solenoid valve model, the dead zone volume V from the solenoid valve to the cylinder is obtained from the standard configuration table. dead The effective flow area A of the solenoid valve valve Flow coefficient C d These parameters serve as the standard parameters for the solenoid valve corresponding to it. Among them, the dead volume refers to the total volume of gas trapped in all pipelines, joints, quick-connect fittings, and internal passages of the valve body between the output port of the solenoid valve and the inlet port of the cylinder. In other words, after the solenoid valve reverses, the compressed air must first "fill" this pipeline space before the cylinder piston can start to move. This pipeline space that is "filled" first is the dead volume.

[0022] The obtained standard parameters of the cylinder and solenoid valve are used as standard component parameters and combined with the basic configuration parameters in the selection configuration parameters to obtain the corresponding component-related parameters.

[0023] In one embodiment, before combining the standard component parameters with the basic configuration parameters in the selection configuration parameters to form the corresponding component association parameters, the method further includes: verifying whether the standard component parameters conflict with the basic configuration parameters in the selection configuration parameters according to preset parameter verification rules, and obtaining the corresponding parameter verification result; if the parameter verification result indicates a conflict, correcting the conflicting parameter values ​​in the basic configuration parameters according to the standard component parameters to obtain the corresponding corrected parameter values; combining the standard component parameters with the corrected parameter values ​​to form the corresponding component association parameters; if the parameter verification result indicates no conflict, performing the step of combining the standard component parameters with the basic configuration parameters in the selection configuration parameters to form the corresponding component association parameters.

[0024] All data in the selection configuration parameters, except for the basic component models, are basic configuration parameters. After obtaining the standard component parameters, the parameters can be checked against the basic configuration parameters according to the parameter verification rules to obtain the parameter verification results. For example, the stroke range can be determined based on the working air pressure P, and the pipe inner diameter d can be used to determine the stroke range. tude The corresponding dead zone volume range is determined, which means that the verification items in the parameter verification rules obtain a numerical judgment range that matches the basic configuration parameters. The obtained basic configuration parameters are then verified based on this numerical judgment range, specifically whether the corresponding parameter values ​​in the basic configuration parameters are within the numerical judgment range of the corresponding verification item. For example, to determine whether the cylinder stroke L is within the aforementioned stroke range, the dead zone volume V is determined. dead The system checks whether the parameter values ​​are within the aforementioned dead zone volume range to perform conflict verification. If all parameter values ​​are within their corresponding numerical judgment ranges, a non-conflicting parameter verification result is obtained.

[0025] If the parameter validation results are non-conflicting, the standard component parameters and basic configuration parameters are directly combined. If the parameter validation results are conflicting, the conflicting parameter values ​​in the basic configuration parameters are corrected based on the standard component parameters. For example, if a parameter value in the standard component parameters conflicts with a configuration parameter in the basic configuration parameters, the parameter value corresponding to the numerical judgment interval that matches the parameter value in the parameter validation rule can be obtained to correct the conflicting configuration parameter. This achieves the correction of conflicting parameter values ​​in the basic configuration parameters. After correction, the corrected parameter value corresponding to the basic configuration parameter is obtained. Combining the obtained standard component parameters and corrected parameter values ​​yields the corresponding component-related parameters.

[0026] S120. The component-related parameters are analyzed according to the preset volume dynamic analysis model to obtain the corresponding volume characteristic parameters.

[0027] Specifically, the component-related parameters can be analyzed based on the volume dynamic analysis model to obtain the volume characteristic parameters.

[0028] In one embodiment, step S120 includes the following sub-steps: calculating the cylinder parameters in the component-related parameters according to the area calculation function in the volume dynamic analysis model to obtain the corresponding cylinder radial area; analyzing the cylinder radial area and the cylinder stroke parameters in the component-related parameters according to the cylinder volume analysis function in the volume dynamic analysis model to obtain the corresponding cylinder volume; analyzing the piping parameters in the component-related parameters according to the piping volume analysis function in the volume dynamic analysis model to obtain the corresponding piping volume; and combining the cylinder radial area, the cylinder volume, and the piping volume to obtain the corresponding volume characteristic parameters.

[0029] Specifically, the cylinder radial area can be obtained by first calculating the cylinder parameters in the component-related parameters using the area calculation function in the volume dynamic analytical model. The cylinder radial area includes the area of ​​the rodless chamber and the area of ​​the rod chamber.

[0030] For example, area calculation functions include: ; Where A1 is the area of ​​the rodless chamber of the cylinder, A2 is the area of ​​the rod chamber of the cylinder, and π is the mathematical constant pi.

[0031] Further, the cylinder radial area and the cylinder stroke parameters in the component-related parameters are analyzed using the cylinder volume analytical function to obtain the corresponding cylinder volume. The cylinder volume includes the rodless chamber volume (at the end of the stroke) and the rod chamber volume (at the end of the stroke). The specific analytical process can be expressed as: V1 = A1 × L, V2 = A2 × L; where V1 is the rodless chamber volume, V2 is the rod chamber volume, and L is the cylinder stroke.

[0032] Furthermore, the piping parameters in the component-related parameters are analyzed based on the piping volume analytical function in the volume dynamic analytical model. The piping parameters include the piping inner diameter d. tude and piping length L tube The analytical function for piping volume can be expressed as: Among them, V tube This is the piping volume obtained from the analysis.

[0033] The cylinder radial area, cylinder volume, and piping volume obtained in the above steps are combined to obtain the corresponding volume characteristic parameters.

[0034] S130. Perform collaborative parsing on the component association parameters and the volume feature parameters according to the preset component collaborative parsing rules to obtain the corresponding collaborative parsing parameters.

[0035] Based on the component collaborative analysis rules, the associated parameters and volume characteristic parameters of the components are collaboratively analyzed to obtain collaborative analysis parameters. These parameters include thrust analysis information, action time, piston speed, and air consumption parameters.

[0036] In one embodiment, step S130 includes the following sub-steps: performing thrust analysis on the component-related parameters according to the cylinder thrust analysis rules of the component collaborative analysis model to obtain corresponding thrust analysis information; analyzing the component-related parameters and the thrust analysis information according to the cylinder action analysis model of the component collaborative analysis model to obtain corresponding action time and piston speed; analyzing the component-related parameters and the piston speed according to the cylinder air consumption analysis model of the component collaborative analysis model to obtain corresponding air consumption parameters; and combining the thrust analysis information, the action time, the piston speed, and the air consumption parameters as corresponding collaborative analysis parameters.

[0037] Specifically, thrust analysis can be performed on the component-related parameters based on the cylinder thrust analysis rules in the component collaborative analysis model to obtain thrust analysis information. This thrust analysis information includes the theoretical cylinder thrust, the net vertical load thrust, and the maximum acceleration. The formula for calculating the theoretical cylinder thrust configured in the cylinder thrust analysis rules is: F push =P×A1, where P is the working air pressure, F push This refers to the theoretical thrust of the cylinder. The formula for calculating the net load thrust configured in the cylinder thrust analysis rules is: F net =P×A1-mg-F f总 Among them, F net The vertical load net thrust is given by F, where g is the acceleration due to gravity, m is the load mass, and F is the load mass. f总 =F f有杆 + F f无杆 , , D is the cylinder bore, d is the piston bore, and η is the efficiency coefficient, which can be selected between 0.7 and 0.95 depending on the cylinder's working environment. For example, in a specific embodiment of this application, η is set to 0.825. The corresponding maximum acceleration a... max = F net / m; The theoretical cylinder thrust F obtained from the above steps push Vertical load net thrust F net and maximum acceleration a max By combining these parameters, thrust analysis information can be obtained.

[0038] Further analysis of the component-related parameters and thrust information is performed based on the cylinder motion analysis model of the component collaborative analysis model to obtain the corresponding motion time and piston speed; this process focuses on the analysis of the cylinder motion process. Specifically, the total stroke time can be determined. Furthermore, the action time under real-world conditions is obtained based on the output force coefficient in the cylinder action analysis model.

[0039] If the output force coefficient is 90%, then the gas volume required for the cylinder to reach 90% of its theoretical output force can be determined as follows: 0.103 is a set coefficient value, which determines the rated flow rate required for the cylinder to reach 90% of its theoretical output force. Cv is the solenoid valve flow rate parameter value obtained from the standard configuration table based on the solenoid valve model. The solenoid valve flow rate parameter value Cv is included in the component-related parameters. Further analysis is performed based on the action duration analysis function in the cylinder action analysis model. The specific process can be expressed as: based on the required gas volume V... 90% and rated flow rate Q 额定 Determine the time T required for the cylinder to reach 90% of its theoretical output force. 90% = V 90% / Q 额定 Determine the piston start time, which is the time required from the moment the solenoid valve is energized or de-energized until the cylinder piston begins to actually move. , t start Let T be the piston's starting time. The resulting motion time includes the total stroke time T and the output time T0. 90% and piston start time t start .

[0040] Determine the average speed of the cylinder piston L represents the cylinder stroke, and represents the total stroke time. Further determination of the final stroke speed is needed. The obtained piston speed includes the average piston speed V in the cylinder. avg and the speed V at the end of the journey end .

[0041] Based on the cylinder air consumption analysis model of the component collaborative analysis model, the component-related parameters and piston speed are analyzed to obtain the corresponding air consumption parameters. Specifically, the analysis process based on the cylinder air consumption analysis model can be expressed as follows: The air consumption for one round trip of the cylinder is determined as: Q1 = A1 × L × 10 -3 +A2×L×10 -3 The total amount of air consumed to complete one round trip of the entire air path is further determined as follows: The obtained air consumption Q1 is compared with the total air consumption Q of one round trip motion. round By combining these parameters, the corresponding gas consumption parameters can be obtained.

[0042] The thrust analysis information, action time, piston speed and gas consumption parameters obtained in the above steps are combined as the corresponding collaborative analysis parameters.

[0043] In one embodiment, step S130 includes the following sub-steps: performing thrust analysis on the component-related parameters according to the cylinder thrust analysis rule of the component collaborative analysis model to obtain corresponding thrust analysis information; analyzing the component-related parameters and the volume characteristic parameters according to the fluid analysis model in the component collaborative analysis model to obtain corresponding action time; analyzing the component-related parameters and the action time according to the velocity analysis model in the component collaborative analysis model to obtain corresponding cylinder velocity; analyzing the component-related parameters according to the action air consumption analysis model of the component collaborative analysis model to obtain corresponding air consumption parameters; and combining the thrust analysis information, the action time, the piston velocity, and the air consumption parameters as corresponding collaborative analysis parameters.

[0044] Furthermore, step S130 can also be implemented in another way. First, thrust analysis is performed to obtain thrust analysis information. The execution process here is the same as that in the above-described implementation, and will not be described in detail here.

[0045] Further, based on the fluid analysis model in the component collaborative analysis model, the component correlation parameters and volume characteristic parameters are analyzed to obtain the corresponding action times. Specifically, the piston initiation time is obtained by analyzing the initiation time formula in the fluid analysis model: ; Among them, t start V is the piston starting time. dead P is the dead zone volume from the solenoid valve to the cylinder. atm At atmospheric pressure (1.013 × 10⁻⁶) 5 Pa), C d Let A be the flow coefficient. valve Where is the effective flow area of ​​the solenoid valve, Tc is the ambient temperature, M is the molar mass of air (0.029 kg / mol), and R is the universal gas constant, R = 8.314 J·mol⁻¹. -1 ·K -1 Further, based on the fluid analytical model, by simultaneously applying the flow rate equation and Newton's second law, we obtain the following system of equations: ; The above system of equations is solved iteratively to adjust the boundary conditions, where the initial conditions are (t=0, at the starting time; x=0, at the starting position), P(t)=P supply The iteration terminates when t=t total , x=L. Where r is the adiabatic index (the adiabatic index of air r=1.4), P supply This refers to the gas source pressure.

[0046] The total time corresponding to the determination of the termination condition. The time required for the cylinder to reach 90% of its theoretical output force. The total travel time is T = t total -t start The piston starting time t obtained from the above steps start Total travel time T and output time T 90% By combining these elements, the action time can be obtained.

[0047] Based on the velocity analysis model in the component collaborative analysis model, the component-related parameters and action times are analyzed to obtain the corresponding cylinder speed; among them, the average speed is calculated according to the average speed calculation formula of the velocity analysis model. The speed at the end of the journey is determined based on the integral function in the velocity analytical model. Based on the uniform acceleration simplified function in the velocity analytical model, determine the corresponding velocity equation: V end =2V age The obtained piston speed includes the average piston speed V in the cylinder. avg and the speed V at the end of the journey end .

[0048] The component-related parameters are analyzed based on the motion air consumption analysis model of the component collaborative analysis model to obtain the corresponding air consumption parameters; specifically, the first air consumption is obtained based on the extension function (corresponding to rodless cavity air intake) of the motion air consumption analysis model. The second air consumption is obtained based on the retraction function (corresponding to the rod chamber air intake). Then the air consumption for one cylinder round trip is Q1 = Q out +Q ret Determine the total amount of air consumed by the entire air path to complete one round trip. The obtained air consumption Q1 is compared with the total air consumption Q of one round trip motion. round By combining these parameters, the corresponding gas consumption parameters can be obtained.

[0049] The thrust analysis information, action time, piston speed and gas consumption parameters obtained in the above steps are combined as the corresponding collaborative analysis parameters.

[0050] S140. Obtain component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters according to the preset selection configuration database.

[0051] The component selection configuration information corresponding to the component association parameters and collaborative resolution parameters is obtained from the selection configuration database. The selection configuration database includes the specification parameters of each model in each type of component. By matching the component association parameters and collaborative resolution parameters with the specification parameters of each model, the target model corresponding to each type of device can be determined as the corresponding component selection configuration information.

[0052] In one embodiment, step S140 includes the following sub-steps: obtaining a container plate model that matches the gas consumption parameter in the collaborative analysis parameters according to the container plate configuration table in the selection configuration database; obtaining an exhaust valve model that matches the action time, piston speed, and thrust analysis information in the collaborative analysis parameters according to the exhaust valve configuration table in the selection configuration database; obtaining two speed control valve models that match the action time, piston speed, and thrust analysis information in the collaborative analysis parameters according to the speed control valve configuration table in the selection configuration database; obtaining two piping models that match the collaborative analysis parameters according to the piping configuration table in the selection configuration database; obtaining a buffer model that matches the collaborative analysis parameters according to the buffer configuration table in the selection configuration database; and combining the basic component models in the selection configuration parameters with the container plate model, exhaust valve model, two speed control valve models, two piping models, and buffer models to obtain the corresponding component selection configuration information.

[0053] Specifically, it can be based on the total air consumption Q in the air consumption parameter. round The air consumption Q1 for one cylinder reciprocating motion is matched from the container configuration table to determine the corresponding container model; based on the full stroke time T in the action time and the cylinder piston average speed V in the piston speed. avg Speed ​​V at the end of the journey end and the maximum acceleration a in the thrust analysis information max The corresponding exhaust valve model is determined by matching from the exhaust valve configuration table; based on the full stroke time T and piston start time t in the action time. start Piston speed, specifically the average cylinder piston speed V. avg Speed ​​V at the end of the journey end and the maximum acceleration a in the thrust analysis information max The corresponding speed control valve models on both sides are determined from the speed control valve configuration table. The speed control valve models on both sides include the left speed control valve model and the right speed control valve model; based on the total stroke time T and piston start time t in the action time... start Output time T 90% Piston speed, specifically the average cylinder piston speed V. avg and the total air consumption Q in the air consumption parameter roundThe air consumption Q1 for one cylinder cycle is determined by matching the corresponding piping models on both sides from the piping configuration table. Specifically, the piping models on both sides include the left piping model and the right piping model; based on the piston speed at the end of the stroke V... end The maximum acceleration a in the thrust analysis information max The total travel time T in the action time is used to match and determine the corresponding buffer model from the buffer configuration table.

[0054] The basic component models in the selection and configuration parameters are combined with the container plate models, exhaust valve models, two-sided speed control valve models, two-sided piping models, and buffer models determined in the above steps to obtain the corresponding component selection and configuration information.

[0055] This invention, after obtaining the cylinder type and control components in a pneumatic positive pressure circuit, establishes a component selection correlation model based on component correlation parameters and analyzed volume characteristic parameters to obtain the cylinder's dynamic characteristic parameters. This enables coordinated selection of the manifold, exhaust valve, left speed control valve, right speed control valve, left piping, right piping, and hydraulic buffer, avoiding parameter mismatch problems caused by independent selection of components in traditional experience-based selection methods. This improves overall selection accuracy, reduces manual table lookup, experience-based judgment, and repetitive calculations, and enhances the consistency of component selection in the pneumatic positive pressure circuit. The model incorporates the full stroke time, piston start time, time required for the cylinder to reach 90% of its theoretical output force, average speed, and total air consumption Q. round A comprehensive analysis of the air consumption Q1 for one cylinder reciprocating motion is conducted to determine the component specifications that match the target operating conditions. This ensures that the selected components can meet the actual operating requirements, avoids the phenomenon of insufficient component specifications leading to failure to achieve the expected action response speed, and improves the operational stability and reliability of the positive pressure circuit.

[0056] The pneumatic positive pressure loop component selection method based on component collaborative selection provided in this embodiment of the invention includes: receiving input selection configuration parameters; obtaining component association parameters corresponding to the selection configuration parameters according to a preset standard configuration table; parsing the component association parameters according to a preset volume dynamic analysis model to obtain corresponding volume characteristic parameters; performing collaborative analysis on the component association parameters and the volume characteristic parameters according to preset component collaborative analysis rules to obtain corresponding collaborative analysis parameters; and obtaining component selection configuration information corresponding to the component association parameters and the collaborative analysis parameters according to a preset selection configuration database. This application obtains corresponding collaborative analysis parameters and corresponding component selection configuration information through collaborative analysis, thereby achieving coordinated determination of the selection of each component in the pneumatic positive pressure loop and improving the accuracy of component selection in the pneumatic positive pressure loop.

[0057] This invention also provides a pneumatic positive pressure circuit component selection device based on component collaborative selection. This device is used to execute any embodiment of the aforementioned pneumatic positive pressure circuit component selection method based on component collaborative selection. Specifically, please refer to... Figure 2 , Figure 2 This is a schematic diagram of the pneumatic positive pressure circuit component selection device based on component collaborative selection provided in an embodiment of the present invention.

[0058] like Figure 2 As shown, the pneumatic positive pressure loop component selection device based on component collaborative selection includes the following units: a component association parameter acquisition unit 110, used to receive the input selection configuration parameters and obtain the component association parameters corresponding to the selection configuration parameters according to a preset standard configuration table; a volume characteristic parameter acquisition unit 120, used to parse the component association parameters according to a preset volume dynamic analysis model to obtain the corresponding volume characteristic parameters; a collaborative analysis parameter acquisition unit 130, used to perform collaborative analysis on the component association parameters and the volume characteristic parameters according to preset component collaborative analysis rules to obtain the corresponding collaborative analysis parameters; and a component selection configuration information acquisition unit 140, used to obtain the component selection configuration information corresponding to the component association parameters and the collaborative analysis parameters according to a preset selection configuration database.

[0059] The pneumatic positive pressure loop component selection device based on component collaborative selection provided in this embodiment of the invention applies the above-mentioned pneumatic positive pressure loop component selection method based on component collaborative selection. The method includes: receiving input selection configuration parameters; obtaining component association parameters corresponding to the selection configuration parameters according to a preset standard configuration table; parsing the component association parameters according to a preset volume dynamic analysis model to obtain corresponding volume characteristic parameters; performing collaborative analysis on the component association parameters and the volume characteristic parameters according to preset component collaborative analysis rules to obtain corresponding collaborative analysis parameters; and obtaining component selection configuration information corresponding to the component association parameters and the collaborative analysis parameters according to a preset selection configuration database. This application obtains corresponding collaborative analysis parameters and corresponding component selection configuration information through collaborative analysis, thereby achieving coordinated determination of the selection of each component in the pneumatic positive pressure loop and improving the accuracy of component selection in the pneumatic positive pressure loop.

[0060] The aforementioned pneumatic positive pressure circuit component selection device based on component collaborative selection can be implemented as a computer program, which can be used in, for example... Figure 3The computer device shown runs on the computer. The computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor; when the computer device executes the computer program, it implements the pneumatic positive pressure circuit component selection method based on component collaborative selection as described in the above embodiments.

[0061] Please see Figure 3 , Figure 3 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device can be used to execute a pneumatic positive pressure loop component selection method based on component collaborative selection, so as to determine the selection of each component in the pneumatic positive pressure loop component based on selection configuration parameters.

[0062] See Figure 3 The computer device 500 includes a processor 502, a memory, and a communication interface 505 connected via a system bus 501. The memory may include a storage medium 503 and internal memory 504.

[0063] The storage medium 503 may store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, it causes the processor 502 to execute a pneumatic positive pressure loop component selection method based on component collaborative selection, wherein the storage medium 503 may be a volatile storage medium or a non-volatile storage medium.

[0064] The processor 502 provides computing and control capabilities to support the operation of the entire computer device 500.

[0065] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a pneumatic positive pressure circuit component selection method based on component collaborative selection.

[0066] This communication interface 505 is used for network communication, such as providing data transmission. Those skilled in the art will understand that... Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device 500 to which the present invention is applied. The specific computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0067] The processor 502 is used to run the computer program 5032 stored in the memory to implement the corresponding functions in the above-mentioned pneumatic positive pressure circuit component selection method based on component collaborative selection.

[0068] Those skilled in the art will understand that Figure 3The embodiments of the computer device shown do not constitute a limitation on the specific configuration of the computer device. In other embodiments, the computer device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. For example, in some embodiments, the computer device may include only memory and a processor. In such embodiments, the structure and function of the memory and processor are different from those shown. Figure 3 The embodiments shown are consistent and will not be repeated here.

[0069] It should be understood that, in this embodiment of the invention, the processor 502 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0070] In another embodiment of the invention, a computer-readable storage medium is provided. This computer-readable storage medium may be volatile or non-volatile. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps included in the above-described method for selecting pneumatic positive pressure loop components based on component co-selection.

[0071] Those skilled in the art will readily understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention.

[0072] In the embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Units with the same function may be grouped into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, or it may be an electrical, mechanical, or other form of connection.

[0073] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0074] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0075] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), magnetic disks, or optical disks.

[0076] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for selecting pneumatic positive pressure loop components based on component collaborative selection, characterized in that, The method includes: Receive the input selection configuration parameters, and obtain the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table; The component-related parameters are analyzed according to the preset volume dynamic analysis model to obtain the corresponding volume feature parameters; The component association parameters and volume feature parameters are collaboratively parsed according to the preset component collaborative parsing rules to obtain the corresponding collaborative parsing parameters; Obtain component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters from the preset selection configuration database; The step of performing collaborative analysis on the component association parameters and the volume feature parameters according to a preset component collaborative analysis model to obtain the corresponding collaborative analysis parameters includes: Based on the cylinder thrust analysis rules of the component collaborative analysis model, the component-related parameters are analyzed for thrust to obtain the corresponding thrust analysis information. Based on the cylinder action analysis model of the component collaborative analysis model, the component association parameters and the thrust analysis information are analyzed to obtain the corresponding action time and piston speed. Based on the cylinder air consumption analysis model of the component collaborative analysis model, the component association parameters and the piston speed are analyzed to obtain the corresponding air consumption parameters. The thrust analysis information, the action time, the piston speed, and the air consumption parameter are combined to form the corresponding collaborative analysis parameters; Alternatively, the step of performing collaborative analysis on the component association parameters and the volume feature parameters according to a preset component collaborative analysis model to obtain the corresponding collaborative analysis parameters includes: Based on the cylinder thrust analysis rules of the component collaborative analysis model, the component-related parameters are analyzed for thrust to obtain the corresponding thrust analysis information. The component association parameters and volume characteristic parameters are analyzed according to the fluid analysis model in the component collaborative analysis model to obtain the corresponding action time; The component association parameters and the action time are analyzed according to the speed analysis model in the component collaborative analysis model to obtain the corresponding cylinder speed; The component-related parameters are analyzed based on the gas consumption analysis model of the component collaborative analysis model to obtain the corresponding gas consumption parameters. The thrust analysis information, the action time, the piston speed, and the air consumption parameter are combined to form the corresponding collaborative analysis parameters.

2. The pneumatic positive pressure loop component selection method based on component collaborative selection according to claim 1, characterized in that, The step of obtaining component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters according to a preset selection configuration database includes: According to the container configuration table in the selection configuration database, obtain the container model that matches the gas consumption parameter in the collaborative analysis parameters; According to the exhaust valve configuration table in the selection configuration database, obtain the exhaust valve model that matches the action time, piston speed and thrust analysis information in the collaborative analysis parameters; Based on the speed control valve configuration table in the selection configuration database, obtain the speed control valve models on both sides that match the action time, piston speed, and thrust analysis information in the collaborative analysis parameters; Obtain the piping models on both sides that match the collaborative parsing parameters from the piping configuration table in the selection configuration database; Obtain the buffer model that matches the collaborative resolution parameters from the buffer configuration table in the selection configuration database; By combining the basic component models in the selection and configuration parameters with the container plate model, exhaust valve model, two-sided speed control valve models, two-sided piping models, and buffer models, the corresponding component selection and configuration information is obtained.

3. The pneumatic positive pressure loop component selection method based on component collaborative selection according to claim 2, characterized in that, The step of obtaining the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table includes: Obtain the standard component parameters that match the basic component models in the selection configuration parameters according to the standard configuration table; The standard component parameters are combined with the basic configuration parameters in the selection configuration parameters to form the corresponding component association parameters.

4. The pneumatic positive pressure loop component selection method based on component collaborative selection according to claim 3, characterized in that, Before combining the standard component parameters with the basic configuration parameters in the selection configuration parameters to form the corresponding component association parameters, the method further includes: According to the preset parameter verification rules, the standard component parameters are checked to see if they conflict with the basic configuration parameters in the selection configuration parameters, and the corresponding parameter verification results are obtained. If the parameter verification result is conflicting, the conflicting parameter values ​​in the basic configuration parameters are corrected according to the standard component parameters to obtain the corresponding corrected parameter values; The standard component parameters are combined with the modified parameter values ​​to form the corresponding component association parameters; If the parameter verification result is not conflicting, the step of combining the standard component parameters with the basic configuration parameters in the selection configuration parameters is executed as the corresponding component association parameters.

5. The pneumatic positive pressure loop component selection method based on component collaborative selection according to claim 2, characterized in that, The step of parsing the component association parameters according to the preset volume dynamic analysis model to obtain the corresponding volume feature parameters includes: The cylinder parameters in the component-related parameters are calculated based on the area calculation function in the volume dynamic analytical model to obtain the corresponding cylinder radial area. The cylinder radial area and the cylinder stroke parameters in the component association parameters are analyzed according to the cylinder volume analysis function in the volume dynamic analysis model to obtain the corresponding cylinder volume. The piping parameters in the component-related parameters are analyzed using the piping volume analysis function in the volume dynamic analysis model to obtain the corresponding piping volume. The cylinder radial area, the cylinder volume, and the piping volume are combined to obtain the corresponding volumetric characteristic parameters.

6. A pneumatic positive pressure loop component selection device based on component collaborative selection, characterized in that, The device employs the pneumatic positive pressure loop component selection method based on component collaborative selection as described in any one of claims 1-5, and the device comprises: The component association parameter acquisition unit is used to receive the input selection configuration parameters and obtain the component association parameters corresponding to the selection configuration parameters according to the preset standard configuration table. The volume feature parameter acquisition unit is used to parse the component association parameters according to the preset volume dynamic analysis model to obtain the corresponding volume feature parameters. The collaborative parsing parameter acquisition unit is used to perform collaborative parsing on the component association parameters and the volume feature parameters according to the preset component collaborative parsing rules, so as to obtain the corresponding collaborative parsing parameters; The component selection configuration information acquisition unit is used to acquire component selection configuration information corresponding to the component association parameters and the collaborative parsing parameters according to a preset selection configuration database.

7. A computer device, characterized in that, The device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When executing a program stored in memory, the processor implements the pneumatic positive pressure circuit component selection method based on component collaborative selection as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the pneumatic positive pressure loop component selection method based on component collaborative selection as described in any one of claims 1 to 5.