An electronic ball valve control method, system, storage medium and electronic device

Abstract

The present application relates to the technical field of electronic ball valve, and specifically relates to an electronic ball valve control method, system, storage medium and electronic equipment, comprising the following steps: S1, initialization setting: setting the initial state and working parameters of the ball valve; S2, data acquisition: real-time monitoring the state parameters of the fluid through various sensors; S3, real-time fluid characteristic analysis: based on the collected real-time state parameters, automatically analyzing the viscosity and density of the fluid, dynamically identifying the fluid state and adjusting the valve opening, optimizing the flow control; S4, control instruction generation: according to the analysis result of the real-time fluid characteristics, generating corresponding control instructions to instruct the electric actuator to adjust the opening of the ball valve. The present application not only improves the control accuracy and efficiency of the system, but also can adapt to complex and changeable working environment, ensuring the stability and reliability in the fluid control process.

Description

Technical Field

[0001] This invention relates to the field of electronic ball valve technology, and in particular to an electronic ball valve control method, system, storage medium, and electronic device. Background Technology

[0002] With the continuous development of industrial automation and fluid control technology, electronic ball valves, as a high-efficiency and precise flow control device, have been widely used. They use electric actuators to adjust the valve opening and achieve automated control of fluid flow. This type of control device is particularly important in industries such as petroleum, chemical, and food processing, as it can ensure the stability and efficiency of fluid management under complex working conditions. In order to improve the accuracy and response speed of fluid control, intelligent electronic ball valve control methods are gradually becoming the development direction of the industry.

[0003] Existing electronic ball valve control methods have certain limitations in responding to changes in fluid characteristics. Traditional methods usually rely on simple valve opening adjustment mechanisms, which cannot be dynamically adjusted according to changes in real-time fluid state parameters (such as flow rate, pressure, and temperature), resulting in insufficient control accuracy and response speed. In addition, many existing methods have limited adjustment capabilities in complex fluid environments, and cannot effectively adapt to different fluid types and complex operating conditions, increasing system energy consumption and failure risk, and reducing the overall reliability of the system.

[0004] The purpose of this invention is to provide an electronic ball valve control method, system, storage medium, and electronic device, which not only improves the system's response speed and control accuracy, but also reduces energy consumption, enhances the system's reliability and stability, and adapts to various complex fluid control needs. Summary of the Invention

[0005] This invention provides an electronic ball valve control method, system, storage medium, and electronic device.

[0006] An electronic ball valve control method includes the following steps:

[0007] S1, Initialization Settings: Set the initial state and operating parameters of the ball valve, including valve opening degree, fluid type and environmental conditions;

[0008] S2, Data Acquisition: Real-time monitoring of fluid state parameters, including flow rate, pressure, and temperature, through multiple sensors;

[0009] S3, Real-time Fluid Characteristic Analysis: Based on collected real-time state parameters, it automatically analyzes the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening to optimize flow control. Specifically, this includes:

[0010] S31, Fluid characteristic data extraction: Extract fluid characteristic data based on real-time state parameters (such as flow rate, pressure, and temperature);

[0011] S32, Physical property identification: Based on the extracted characteristic data, the physical properties of the fluid are dynamically identified through a Naive Bayes model;

[0012] S33, Valve opening adjustment suggestion generation: Based on the identified fluid physical properties, generate valve opening adjustment suggestions for the current fluid state to optimize flow control;

[0013] S4, Control Command Generation: Based on the analysis results of real-time fluid characteristics, generate corresponding control commands to instruct the electric actuator to adjust the opening degree of the ball valve.

[0014] Optionally, the initialization settings in S1 include:

[0015] S11, User Input Settings: The user inputs the initial parameters of the ball valve through the interface, including valve opening degree, fluid type and environmental conditions;

[0016] S12, Parameter Validation: Validate the initial parameters input by the user, specifically including:

[0017] Valve opening degree: Check if the input value is within the range of 0% to 100%. If it is not within the range, prompt the user to re-enter the value.

[0018] Fluid type: Confirm whether the input fluid type is in the predefined fluid list, including water, oil, and gas;

[0019] Environmental conditions: Range validation of temperature, pressure, and humidity.

[0020] Optionally, the data acquisition in S2 includes:

[0021] S21, Flow velocity monitoring: Real-time measurement of fluid velocity in the pipeline using a flow velocity sensor;

[0022] S22, Pressure Monitoring: Real-time monitoring of fluid pressure changes using a pressure sensor;

[0023] S23, Temperature Monitoring: Records the temperature value of the fluid through a temperature sensor.

[0024] Optionally, the fluid characteristic data extraction in S31 includes:

[0025] S311, Fluid viscosity calculation: Calculate fluid viscosity μ using flow velocity v, density ρ, and pressure P;

[0026] S312, Fluid density calculation: Calculate the density of a gas based on the ideal gas law.

[0027] Optionally, the Naive Bayes model in S32 includes:

[0028] S321, Feature Selection: Based on the fluid characteristic data, the mutual information method is used to evaluate the importance of the characteristic data and select the most relevant features;

[0029] S322, Naive Bayes Model Construction: Construct a Naive Bayes model using selected features, assuming conditional independence between features, and calculate the posterior probability of the model.

[0030] S323, Conditional Probability Estimation: Modeling continuous features using a Gaussian distribution, let feature X... i Given category C, it follows a Gaussian distribution;

[0031] S324, Model Validation: Evaluate the model's performance through cross-validation, and adjust and optimize the model based on its accuracy and recall.

[0032] Optionally, the valve opening adjustment suggestion generation in S33 includes:

[0033] S331, Fluid property analysis: Analyze the identified physical properties of the fluid to determine the flow state of the fluid, including steady state, transition state or transient state;

[0034] S332, Adjustment Strategy Formulation: Based on the fluid state and the required flow target, a preset linear model is used to formulate valve opening adjustment suggestions;

[0035] S333, Opening Adjustment Suggestion Output: The calculated adjustment amount is applied to the current valve opening to generate an opening adjustment suggestion.

[0036] Optionally, the control command generation in S4 includes:

[0037] S41, Receive fluid characteristic analysis results: Receive analysis results on fluid viscosity and density, as well as current valve opening recommendations;

[0038] S42, Control command calculation: Generate control commands based on the received analysis results and valve opening adjustment suggestions;

[0039] S43, Command Transmission: Transmits the generated control command to the electric actuator, instructing it to adjust the opening of the ball valve.

[0040] An electronic ball valve control system, used to implement the above-mentioned electronic ball valve control method, includes the following modules:

[0041] Initialization module: Sets the initial state and operating parameters of the ball valve, including valve opening degree, fluid type and environmental conditions;

[0042] Data acquisition module: Collects fluid state parameters in real time through multiple sensors, including flow rate, pressure, and temperature;

[0043] Real-time fluid characteristic analysis module: Based on the collected state parameters, it automatically analyzes the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening to optimize flow control;

[0044] Control command generation module: Based on the analysis results of real-time fluid characteristics, it generates corresponding control commands to instruct the electric actuator to adjust the opening degree of the ball valve.

[0045] A storage medium storing a computer program that, when executed, implements the above-described electronic ball valve control method.

[0046] An electronic device, comprising:

[0047] Memory: It stores computer programs;

[0048] Processor: Used to execute the computer program in the memory to implement the above-described electronic ball valve control method.

[0049] The beneficial effects of this invention are:

[0050] This invention, by acquiring fluid state parameters in real time and combining them with dynamic fluid characteristic analysis based on a Naive Bayes model, can accurately identify the physical properties of the fluid and adjust the valve opening in a timely manner based on the analysis results. This real-time response mechanism not only improves the control accuracy and efficiency of the system, but also adapts to complex and ever-changing working environments, ensuring the stability and reliability of the fluid control process.

[0051] This invention, through intelligent data processing and analysis methods, can automatically generate valve opening adjustment suggestions based on the current fluid state, and generate precise control commands based on these suggestions to instruct the electric actuator to adjust the ball valve opening. This automated control reduces human intervention, improves the level of operational intelligence, and ensures that the system can quickly respond to changes in fluid characteristics, thereby optimizing flow control and maintaining the efficiency and accuracy of fluid management.

[0052] This invention, through intelligent data processing and automatic adjustment mechanisms, not only improves the system's response speed and automation level, but also significantly reduces energy consumption, enhances operational efficiency, and reduces the risk of system failures caused by changes in fluid characteristics. It can effectively address the flow control requirements under different fluid types and operating conditions, making this method widely applicable in the fields of industrial automation and fluid control. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is a schematic diagram of the control method flow according to an embodiment of the present invention;

[0055] Figure 2 This is a schematic diagram of the system functional modules according to an embodiment of the present invention. Detailed Implementation

[0056] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0057] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.

[0058] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.

[0059] like Figure 1 As shown, an electronic ball valve control method includes the following steps:

[0060] S1, Initialization Settings: Set the initial state and operating parameters of the ball valve, including valve opening degree, fluid type and environmental conditions;

[0061] S2, Data Acquisition: Real-time monitoring of fluid state parameters, including flow rate, pressure, and temperature, through multiple sensors;

[0062] S3, Real-time Fluid Characteristic Analysis: Based on collected real-time state parameters, it automatically analyzes the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening to optimize flow control. Specifically, this includes:

[0063] S31, Fluid characteristic data extraction: Extract fluid characteristic data based on real-time state parameters (such as flow rate, pressure, and temperature);

[0064] S32, Physical property identification: Based on the extracted characteristic data, the physical properties of the fluid are dynamically identified through a Naive Bayes model;

[0065] S33, Valve opening adjustment suggestion generation: Based on the identified fluid physical properties, generate valve opening adjustment suggestions for the current fluid state to optimize flow control;

[0066] S4, Control Command Generation: Based on the analysis results of real-time fluid characteristics, generate corresponding control commands to instruct the electric actuator to adjust the opening of the ball valve, ensuring the smoothness of fluid flow and control accuracy.

[0067] The above methods enable dynamic adjustment of valve opening to optimize flow control, which not only improves the system's response speed and control accuracy but also effectively enhances the efficiency of fluid management, adapts to complex working environments, and overcomes the limitations of traditional control methods under changing fluid characteristics, thereby enhancing the system's reliability and intelligence.

[0068] The initialization settings in S1 include:

[0069] S11, User Input Settings: The user inputs the initial parameters of the ball valve through the interface, including valve opening degree, fluid type and environmental conditions;

[0070] S12, Parameter Validation: Validate the initial parameters input by the user to ensure that all parameters are within the preset working range and meet safety and performance requirements. Specifically, this includes:

[0071] Valve opening degree: Check if the input value is within the range of 0% to 100%. If it is not within the range, prompt the user to re-enter the value.

[0072] Fluid type: Confirm whether the input fluid type is in the predefined fluid list, including water, oil, and gas;

[0073] Environmental conditions: Validate the temperature, pressure, and humidity ranges to ensure they meet the equipment's operating requirements;

[0074] The above measures ensure that the initial state and operating parameters of the ball valve are within safe and performance ranges, thereby improving the reliability and stability of the system. This not only reduces the possibility of human error but also ensures that the system can accurately control the flow according to the actual fluid type and environmental conditions, optimizing the efficiency of flow management and enhancing the overall intelligence and automation level of operation.

[0075] Data acquisition in S2 includes:

[0076] S21, Flow velocity monitoring: Real-time measurement of fluid velocity in the pipeline using a flow velocity sensor to ensure the accuracy and timeliness of flow data;

[0077] S22, Pressure Monitoring: Using pressure sensors to monitor fluid pressure changes in real time to reflect the fluid's operating status;

[0078] S23, Temperature monitoring: The temperature value of the fluid is recorded by a temperature sensor to ensure that the system can adjust the control strategy according to temperature changes;

[0079] The above measures ensure the accuracy and timeliness of fluid state parameters. This comprehensive monitoring system can reflect changes in fluid velocity, pressure, and temperature in real time, providing reliable data support for subsequent analysis and control. This not only improves the system's responsiveness and control precision but also enhances the intelligence level of fluid management, enabling efficient and stable operation in complex working environments.

[0080] Fluid property data extraction in S31 includes:

[0081] S311, Fluid viscosity calculation: Using flow velocity v, density ρ, and pressure P, the fluid viscosity μ is calculated and expressed as:

[0082]

[0083] Where D is the characteristic diameter of the fluid in the pipe;

[0084] S312, Fluid density calculation: The density of the gas is calculated according to the ideal gas law, expressed as:

[0085]

[0086] Where P is pressure, M is the molar mass of the gas, R is the gas constant, and T is temperature (absolute temperature);

[0087] The above-mentioned features not only improve the accuracy of fluid state analysis, but also enable the electronic ball valve control system to respond quickly in complex and dynamic environments, optimize flow control, and greatly enhance the system's intelligence level through real-time and automated characteristics. This improves the overall operational efficiency and reliability, providing strong support for fluid management.

[0088] The Naive Bayes model in S32 includes:

[0089] S321, Feature Selection: Based on the fluid characteristic data, the mutual information method is used to evaluate the importance of the characteristic data, and the most relevant features are selected, represented as:

[0090]

[0091] Where I(X;Y) is the mutual information between feature X and category Y, representing the degree of dependence between them, p(x,y) is the joint probability distribution of feature X and category Y, p(x) is the marginal probability distribution of feature X, and p(y) is the marginal probability distribution of category Y.

[0092] S322, Naive Bayes Model Construction: Construct a Naive Bayes model using selected features, assuming conditional independence between features, and calculate the posterior probability of the model, expressed as:

[0093]

[0094] Where P(C|X) is the posterior probability that the fluid belongs to category C given feature X, P(X|C) is the conditional probability of feature X given category C, P(C) is the prior probability of category C, representing the probability that the fluid belongs to that category, and P(X) is the marginal probability of feature X.

[0095] S323, Conditional Probability Estimation: Modeling continuous features using a Gaussian distribution, let feature X... i Given a class C, it follows a Gaussian distribution, expressed as:

[0096]

[0097] Wherein, P(X) i |C) represents feature X given category C. i The conditional probability of X i The i-th feature in the feature vector;

[0098] S324, Model Validation: Evaluate the model's performance through cross-validation, and adjust and optimize the model based on its accuracy and recall, as shown below:

[0099]

[0100] Where TP represents true positives, TN represents true negatives, FP represents false positives, and FN represents false negatives;

[0101] The above methods enhance the accuracy and efficiency of fluid physical property identification. The mutual information method is used to evaluate the importance of characteristic data, ensuring that only features highly correlated with the target category are used, thereby reducing the complexity of the model and computational cost.

[0102] The valve opening adjustment suggestions generated in S33 include:

[0103] S331, Fluid property analysis: Analyze the identified physical properties of the fluid to determine the flow state of the fluid, including steady state, transition state or transient state;

[0104] S332, Adjustment Strategy Formulation: Based on the fluid state and the required flow target, a preset linear model is used to formulate valve opening adjustment suggestions, expressed as:

[0105] Δθ=k·(Q target -Q current );

[0106] Where Δθ is the adjustment amount of the valve opening, k is the adjustment coefficient, and Q target For the target traffic, Q current Current traffic;

[0107] S333, Opening Adjustment Suggestion Output: The calculated adjustment amount is applied to the current valve opening to generate an opening adjustment suggestion, ensuring the optimization and stability of flow control;

[0108] The above improvements enhance the response speed and accuracy of adjustments, ensuring the system can quickly adapt to changes in fluid conditions and optimize flow control. This not only increases the automation level of the control system but also effectively reduces energy consumption, maintains the stability and efficiency of fluid flow, and is suitable for complex fluid management scenarios.

[0109] Control command generation in S4 includes:

[0110] S41, Receive fluid characteristic analysis results: Receive analysis results on fluid viscosity and density, as well as current valve opening recommendations;

[0111] S42, Control Command Calculation: Based on the received analysis results and valve opening adjustment suggestions, a control command is generated, expressed as:

[0112] θ new =θ current +Δθ;

[0113] Where, θ new For the newly generated valve opening, θcurrent The current valve opening is given by Δθ, which is the opening adjustment calculated based on the fluid state and target flow rate.

[0114] S43, Command Transmission: The generated control command is transmitted to the electric actuator, instructing it to adjust the ball valve opening to achieve the expected flow control target;

[0115] The above-mentioned features effectively instruct the electric actuator to adjust the ball valve opening, ensuring that the system can quickly respond to changes in fluid state, maintain the efficiency and accuracy of flow control, reduce human intervention by automatically generating and transmitting commands, enhance the intelligence and automation level of operation, thereby optimizing the overall performance and stability of the system, and making it suitable for a variety of complex application scenarios.

[0116] like Figure 2 As shown, an electronic ball valve control system, used to implement the above-mentioned electronic ball valve control method, includes the following modules:

[0117] Initialization module: Sets the initial state and operating parameters of the ball valve, including valve opening degree, fluid type and environmental conditions;

[0118] Data acquisition module: Collects fluid state parameters in real time through multiple sensors, including flow rate, pressure, and temperature;

[0119] Real-time fluid characteristic analysis module: Based on the collected state parameters, it automatically analyzes the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening to optimize flow control;

[0120] Control command generation module: Based on the analysis results of real-time fluid characteristics, it generates corresponding control commands to instruct the electric actuator to adjust the opening degree of the ball valve.

[0121] A storage medium storing a computer program that, when executed, implements the above-described electronic ball valve control method.

[0122] An electronic device, comprising:

[0123] Memory: It stores computer programs;

[0124] Processor: Used to execute computer programs in memory to implement the above-described electronic ball valve control method.

[0125] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0126] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An electronic ball valve control method, characterized by, The method comprises the following steps: S1, initialization setting: setting the initial state and working parameters of the ball valve, including valve opening degree, fluid type and environmental conditions; S2, data acquisition: real-time monitoring of fluid state parameters through various sensors, including flow rate, pressure, temperature; S3, real-time fluid property analysis: based on the collected real-time state parameters, automatically analyzing the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening degree, optimizing flow control, specifically including: S31, fluid property data extraction: based on real-time state parameters, extracting fluid property data; S32, physical property identification: based on the extracted property data, dynamically identifying the physical properties of the fluid through a Naive Bayes model; S33, valve opening degree adjustment suggestion generation: generating a valve opening degree adjustment suggestion for the current fluid state according to the identified fluid physical properties to optimize flow control; S4, control instruction generation: generating corresponding control instructions according to the analysis results of real-time fluid properties to instruct the electric actuator to adjust the opening degree of the ball valve; The Naive Bayes model in S32 includes: S321, feature selection: using mutual information method to evaluate the importance of property data according to fluid property data, selecting the most relevant features; S322, Naive Bayes model construction: constructing a Naive Bayes model using selected features, assuming conditional independence between features, and calculating the posterior probability of the model; S323, conditional probability estimation: model continuous features using Gaussian distribution, let feature X i is Gaussian distributed under given class C; S324, model verification: evaluating the performance of the model through cross-validation, and adjusting and optimizing the model according to its accuracy and recall rate; The valve opening degree adjustment suggestion generation in S33 includes: S331, fluid property analysis: analyzing the identified fluid physical properties to determine the flow state of the fluid, including steady state, transition state or transient state; S332, adjustment strategy formulation: formulating a valve opening degree adjustment suggestion using a pre-set linear model according to the fluid state and the required flow target, represented as: Δθ = k - (Q target - Q current ); where Δθ is the adjustment amount of the valve opening, k is an adjustment coefficient, Q target is the target flow rate, Q current is the current flow rate; S333, opening degree adjustment suggestion output: applying the calculated adjustment amount to the current valve opening degree to generate an opening degree adjustment suggestion; Generating control instructions, represented as: θ new = θ current + Δθ; where θ new is the newly generated valve opening, θ current is the current valve opening, and Δθ is the opening adjustment amount calculated from the fluid state and the target flow rate.

2. The electronic ball valve control method of claim 1, wherein, The initialization setting in S1 includes: S11, user input setting: user inputs initial parameters of the ball valve through the interface, including valve opening degree, fluid type and environmental conditions; S12, parameter verification: verifying the validity of the initial parameters input by the user, specifically including: Valve opening degree: checking whether the input value is within the range of 0% to 100%, if not, prompting the user to re-input; Fluid type: confirming whether the input fluid type is in the pre-defined fluid list, including water, oil and gas; Environmental conditions: verifying the range of temperature, pressure and humidity.

3. The electronic ball valve control method of claim 1, wherein, The data acquisition in S2 includes: S21, flow rate monitoring: measuring the flow rate of the fluid in the pipeline in real time through a flow rate sensor; S22, pressure monitoring: monitoring the pressure change of the fluid in real time using a pressure sensor; S23, temperature monitoring: recording the temperature value of the fluid through a temperature sensor.

4. The electronic ball valve control method of claim 1, wherein, The fluid property data extraction in S31 includes: S311, fluid viscosity calculation: using flow rate v, density p and pressure P, calculate fluid viscosity m; S312, fluid density calculation: calculate the density of the gas according to the ideal gas state equation.

5. The electronic ball valve control method of claim 4, wherein, The control instruction generation in S4 includes: S41, fluid property analysis result receiving: receive the analysis results of fluid viscosity, density and current valve opening degree suggestion; S42, control instruction calculation: generate control instruction according to the received analysis results and valve opening degree adjustment suggestion; S43, instruction transmission: transmit the generated control instruction to the electric actuator to instruct it to adjust the opening degree of the ball valve.

6. An electronic ball valve control system for implementing an electronic ball valve control method according to any one of claims 1 to 5, characterized by It includes the following modules: Initialization module: set the initial state and working parameters of the ball valve, including valve opening degree, fluid type and environmental conditions; Data acquisition module: real-time acquisition of fluid state parameters through various sensors, including flow rate, pressure and temperature; Real-time fluid property analysis module: based on the collected state parameters, automatically analyze the viscosity and density of the fluid to dynamically identify the fluid state and adjust the valve opening degree to optimize flow control; Control instruction generation module: generate corresponding control instruction according to the analysis result of real-time fluid property to instruct the electric actuator to adjust the opening degree of the ball valve.

7. A storage medium having stored thereon a computer program, characterized in that The computer program is executed to realize an electronic ball valve control method as claimed in any one of claims 1-5.

8. An electronic device, comprising: It includes: Memory: the computer program is stored on it; Processor: used to execute the computer program in the memory to realize an electronic ball valve control method as claimed in any one of claims 1-5.

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