Pneumatic butterfly valve for industrial dust remover pipeline

Abstract

The invention relates to the technical field of pneumatic butterfly valves, and particularly discloses a pneumatic butterfly valve for an industrial dust remover pipeline, which is characterized by comprising a butterfly valve body and a control management unit for controlling the butterfly valve body, an ultrasonic flowmeter, an opening degree sensor, a pressure sensor and a temperature sensor are installed in the butterfly valve body. And the control management unit comprises a central control system, a data acquisition module, a dynamic model establishment module, an intelligent control module, an air source pressure and flow regulation module, an opening control module and a self-adaptive regulation module. According to the butterfly valve, through the arrangement of the control management unit, the problems that a traditional butterfly valve is insufficient in adjusting precision, slow in response speed, high in energy consumption and poor in adaptability to complex working conditions can be solved.

Description

Technical Field

[0001] This invention relates to the field of pneumatic butterfly valve technology, and in particular to a pneumatic butterfly valve for industrial dust collector pipelines. Background Technology

[0002] In industrial production processes, industrial dust collectors play a crucial role in ensuring a clean production environment and the normal operation of equipment. As a key component in the piping system of an industrial dust collector, the precision and efficiency of its control directly affect the overall performance of the dust collector.

[0003] Traditional pneumatic butterfly valve control methods have revealed numerous problems in practical applications, such as insufficient adjustment accuracy, slow response speed, high energy consumption, and poor adaptability to complex operating conditions. These problems not only reduce the dust removal efficiency of dust collectors but may also lead to energy waste and excessive equipment wear and tear. Summary of the Invention

[0004] In view of the technical problems of existing pneumatic butterfly valves, such as insufficient adjustment accuracy, slow response speed, high energy consumption, and poor adaptability to complex working conditions, this invention provides a pneumatic butterfly valve for industrial dust collector pipelines.

[0005] The technical solution adopted in this invention is: a pneumatic butterfly valve for industrial dust collector pipelines, including a butterfly valve body and a control management unit for controlling the butterfly valve body. A pneumatic actuator is installed on the butterfly valve body, and an ultrasonic flow meter, an opening sensor, a pressure sensor and a temperature sensor are installed in the butterfly valve body.

[0006] The control and management unit includes a central control system, a data acquisition module, a dynamic model building module, an intelligent control module, a gas source pressure and flow regulation module, an opening control module, and an adaptive adjustment module.

[0007] A further configuration of the present invention is that the data acquisition module measures gas flow rate using an ultrasonic flow meter, measures pressure P using a pressure sensor, and measures dust concentration inside the butterfly valve body using a laser dust concentration sensor. And measuring gas temperature using a temperature sensor By measuring the time difference of ultrasonic wave propagation in the downstream and upstream directions. Calculate the gas flow rate using the following formula.

[0008] ;

[0009] in, The flow coefficient of the flow meter. This is the reference time for the propagation of ultrasound in a stationary fluid.

[0010] A further provision of this invention is that the dynamic model building module, within the central control system, establishes a dynamic operating condition model using mathematical modeling methods based on the collected real-time data. The specific method is as follows:

[0011] A model for the relationship between flow rate and pressure: Based on Bernoulli's equation and the continuity equation in fluid mechanics, a gas flow rate model is established. With pressure The relationship model, expressed by the Bernoulli equation, is as follows:

[0012]

[0013] in, For gas density, The gas flow rate is... The height is the internal diameter of the butterfly valve body. For gravitational acceleration, combined with the continuity equation , Given the cross-sectional area of ​​the butterfly valve body, the flow rate is obtained. With pressure Functional relationship between ;

[0014] Temperature and density relationship model: based on the ideal gas law ,in, For gas volume, For the amount of gaseous substance, It is the ideal gas constant;

[0015] For a given mass of gas, and As a constant, ; Substituting the mass of the gas into the ideal gas law, we get: ;

[0016] Introducing compression factor Make corrections, that is By establishing an accurate temperature-density relationship model, the gas density can be accurately calculated under different temperature conditions.

[0017] Model of the relationship between dust concentration and resistance: Establishing a dust concentration model With butterfly valve body resistance coefficient Relationship model, drag coefficient With dust concentration Functional relationship between .

[0018] A further provision of this invention is that the intelligent control module controls the butterfly valve body in the central control system based on the established dynamic operating condition model, and the specific method is as follows:

[0019] An adaptive fuzzy PID control algorithm is adopted, specifically including the following:

[0020] Fuzzy control component: The core idea of ​​fuzzy control is to transform the operator's experience and knowledge into fuzzy control rules. In this system,

[0021] Based on the gas flow deviation within the butterfly valve body and rate of change of flow deviation Flow deviation serves as the input variable for the fuzzy controller. Define as setting flow rate value Compared with the actual measured flow rate The difference between them, i.e. ;

[0022] Input variables and The range of values ​​for the output variables is divided into several fuzzy subsets, and a corresponding membership function is defined for each fuzzy subset, as follows:

[0023] Flow deviation The fuzzy subsets are defined as follows: negative large NB, negative medium NM, negative small NS, zero ZE, positive small PS, positive medium PM, and positive large PB. Alternatively, a trapezoidal membership function can be used to describe the degree of membership of each fuzzy subset;

[0024] The fuzzy control rules are formulated as follows:

[0025] When the flow deviation For positive values, PB and flow deviation change rate When the value is positive (PS), it indicates that the actual flow rate is much greater than the set flow rate and is still slowly increasing. In this case, reduce the butterfly valve body opening, i.e., reduce the butterfly valve body opening adjustment amount. It's a negative number (NB).

[0026] A suitable defuzzing method is used to convert the fuzzy output into a precise butterfly valve body opening adjustment. ;

[0027] PID control section: The PID controller determines the system error based on the PID controller's response time. and its integral and differential To calculate the control quantity Its control law is expressed as:

[0028] ;

[0029] in, This is the proportionality coefficient. The integral coefficient is... is the differential coefficient.

[0030] A further feature of the present invention is that the air source pressure and flow rate regulation module optimizes and regulates the pressure and flow rate of the air source for the pneumatic actuator during the control process;

[0031] Based on the established dynamic operating condition model and the current system operating status, the pressure reducing valve and flow control valve on the air source pipeline are adjusted. The air source pipeline is used to supply air to the pneumatic actuator, and the pressure reducing valve and flow control valve installed on the air source pipeline control the air source pressure. and gas source flow The control methods are as follows:

[0032] Gas source pressure regulation: Based on the working characteristics of the butterfly valve body and the gas pressure Determine the gas source pressure based on the changes. When the gas pressure inside the butterfly valve body When the gas flow rate is low and an increased opening of the butterfly valve body is required to increase the gas flow rate, increase the gas source pressure. Gas source pressure The adjustment is initially calculated using the following formula:

[0033] ;

[0034] in, The minimum driving force required for the pneumatic actuator to open the butterfly valve body; The diameter of the pneumatic actuator piston; The pressure margin is reserved to take into account factors such as resistance and sealing friction.

[0035] Gas source flow rate adjustment: Gas source flow rate The adjustment is determined based on the rate of change of the butterfly valve's opening and the system's response time requirements;

[0036] According to gas source flow The rate of change of the butterfly valve body opening Based on the existing relationships, the following approximate model is established:

[0037] ;

[0038] in, This is the proportionality coefficient.

[0039] A further feature of the present invention is that the opening control module adjusts the butterfly valve body opening amount based on the calculated adjustment amount. The parameters of air source pressure and flow rate are used to control the opening degree of the butterfly valve body in real time by controlling the action of the pneumatic actuator. The specific method is as follows;

[0040] The actual opening degree of the butterfly valve body is monitored in real time using an opening degree sensor installed on the butterfly valve body. And feed it back to the central control system;

[0041] The central control system will calculate the target butterfly valve body opening degree. Current opening plus opening adjustment amount This is converted into corresponding control signals and sent to the control unit of the pneumatic actuator;

[0042] The pneumatic actuator operates based on the control signal and air source pressure. and gas source flow Drive the butterfly plate to rotate to the target opening degree;

[0043] The opening sensor collects the actual opening degree of the butterfly valve body in real time. It then transmits this information to the central control system, which calculates the actual opening degree. relative to target opening Deviation between ;

[0044] When the opening deviation When the deviation exceeds the set allowable error range, the central control system adjusts the opening amount according to the magnitude and direction of the deviation using an adaptive fuzzy PID control algorithm. The system is corrected and the target opening degree and control signal are recalculated to adjust the opening degree of the butterfly valve body.

[0045] A further provision of this invention is that the adaptive adjustment module monitors the operating parameters and the system's running status in real time, and adaptively adjusts and optimizes the control strategy and parameters. The specific method is as follows:

[0046] The central control system continuously analyzes and collects the gas flow rate inside the butterfly valve. ,pressure ,temperature Dust concentration The changing trend of parameters can be used to determine whether the system operating conditions have changed significantly.

[0047] Based on the identified type and degree of operating condition changes, the relevant parameters of the intelligent control algorithm are adaptively adjusted. For the adaptive fuzzy PID control algorithm, the main adjustments are made to the fuzzy control rule base, membership function, and the adjustment range of PID parameters.

[0048] The dynamic operating condition model is updated and optimized in real time based on the new monitoring data. The parameters in the model are continuously corrected by using the recursive least squares method and Kalman filter online parameter identification method.

[0049] During the adaptive adjustment of operating conditions, multi-objective optimization decisions are made;

[0050] By establishing a multi-objective optimization function ,in To adjust the accuracy index, For response speed indicators, As an energy consumption indicator, , , The weight coefficients for each objective are set according to the priority requirements under different operating conditions. The central control system solves the multi-objective optimization problem through optimization algorithms to determine the optimal control parameters and strategies, thereby achieving coordinated optimization of multiple control objectives.

[0051] In view of the technical problems of existing pneumatic butterfly valves, such as insufficient adjustment accuracy, slow response speed, high energy consumption, and poor adaptability to complex working conditions, this invention provides a pneumatic butterfly valve for industrial dust collector pipelines.

[0052] The beneficial effects of this invention are:

[0053] I. In this invention, by setting up a control management unit, the problems of insufficient adjustment accuracy, slow response speed, high energy consumption, and poor adaptability to complex working conditions of traditional butterfly valves can be solved.

[0054] Second, this invention establishes a dynamic operating condition model, which accurately reflects the actual operating state of the pipeline system, providing a reliable data foundation for precise control. Secondly, the introduction of an adaptive fuzzy PID intelligent control algorithm integrates the advantages of fuzzy control and PID control, achieving high-precision control of the butterfly valve opening, effectively improving adjustment accuracy, and keeping flow deviation within a very small range to meet the stringent requirements of industrial production for dust emission concentration. Furthermore, through optimized adjustment of gas source pressure and flow, and a closed-loop feedback control mechanism, the response speed of the pneumatic butterfly valve is significantly improved, enabling it to react quickly to sudden changes in operating conditions, maintaining stable pressure and flow within the pipeline, and avoiding the risk of equipment failure and production interruption. Simultaneously, dynamically adjusting gas source parameters according to actual operating conditions avoids energy waste, significantly reducing system energy consumption and saving production costs for enterprises. In addition, through adaptive adjustment and optimization strategies, the system can adapt to changes in gas characteristics and operating parameters within the pipeline in real time, enhancing its adaptability to complex operating conditions and ensuring that the butterfly valve can operate normally in harsh environments such as high temperature, high humidity, and high dust concentration, extending equipment lifespan and reducing maintenance costs. Attached Figure Description

[0055] Figure 1 This is a three-dimensional structural schematic diagram of the present invention;

[0056] Figure 2 yes Figure 1 Enlarged structural diagram of region A in the middle;

[0057] Figure 3 This is a side view of the structure of the present invention;

[0058] Figure 4 This is a top view of the structure of the present invention.

[0059] The diagram is marked as follows:

[0060] 1. Butterfly valve body; 2. Pneumatic actuator; 3. Ultrasonic flow meter. Detailed Implementation

[0061] In the description of this invention, it should be noted that the terms "front", "up", "down", "left", "right", "vertical", "horizontal", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0062] The following is in conjunction with the appendix Figure 1-4 The present invention will be further described below.

[0063] In order to solve the problems existing in the background technology, this application proposes the following technical solution: a pneumatic butterfly valve for industrial dust collector pipeline, including a butterfly valve body 1 and a control management unit for controlling the butterfly valve body 1, wherein a pneumatic actuator 2 is installed on the butterfly valve body 1, and an ultrasonic flow meter 3, an opening sensor, a pressure sensor and a temperature sensor are installed in the butterfly valve body 1.

[0064] The control and management unit includes a central control system, a data acquisition module, a dynamic model building module, an intelligent control module, a gas source pressure and flow regulation module, an opening control module, and an adaptive adjustment module.

[0065] In this embodiment, the data acquisition module measures the gas flow rate using an ultrasonic flow meter 3, the pressure P using a pressure sensor, and the dust concentration inside the butterfly valve body 1 using a laser dust concentration sensor. And measuring gas temperature using a temperature sensor By measuring the time difference of ultrasonic wave propagation in the downstream and upstream directions. Calculate the gas flow rate using the following formula.

[0066] ;

[0067] in, The flow coefficient of a flow meter is related to factors such as the structure and installation method of the flow meter, and is a constant determined through experiments or calibration. This is the reference time for the propagation of ultrasound in a stationary fluid;

[0068] By monitoring the gas flow rate in real time, the flow status of the gas inside the butterfly valve body 1 can be understood in a timely manner, providing an important basis for the subsequent control of the opening degree of the butterfly valve body 1.

[0069] Pressure monitoring: A high-precision pressure sensor is installed at a key location on the butterfly valve body 1 to measure the gas pressure inside the butterfly valve body 1. The working principle of the pressure sensor is based on the piezoresistive or piezoelectric effect. When gas pressure acts on the sensor's sensitive element, it causes a change in the element's resistance or charge. By measuring this change and performing appropriate signal conversion and processing, the gas pressure value inside the butterfly valve body 1 can be obtained. Accurate pressure monitoring is crucial for maintaining the stable operation of the butterfly valve body 1 system and can help determine whether there are abnormalities such as blockages or leaks in the system.

[0070] Temperature monitoring: The temperature of the gas inside the butterfly valve body 1 is measured using a temperature sensor, such as a thermocouple or a resistance temperature sensor. Thermocouples work on the principle of the thermoelectric effect. Two metal conductors of different materials form a closed circuit. When the temperatures of the two junctions are different, a thermoelectric potential is generated in the circuit. The temperature can be calculated by measuring the magnitude of this thermoelectric potential. Resistance temperature detectors (RTDs), on the other hand, utilize the property that the resistance of a metal conductor changes with temperature. Temperature is indirectly measured by measuring the resistance value. Temperature monitoring is crucial for understanding the physical properties of dust-laden gases and preventing damage to equipment caused by excessively high temperatures.

[0071] Dust concentration monitoring: A laser dust concentration sensor is used to measure the dust concentration inside the butterfly valve body 1. .

[0072] Its working principle is based on the principle of laser scattering. When a laser beam irradiates dust particles in a dust-laden gas, scattering occurs. By detecting the intensity of the scattered light and combining it with relevant mathematical models and algorithms, the dust concentration can be calculated. Accurately determining the dust concentration is crucial for evaluating the working effect of the dust collector and adjusting the control strategy of the butterfly valve body 1. Through a data acquisition system, the parameter data collected in real time by these sensors are transmitted to the central control system in a high-speed and stable manner, providing a rich and accurate data foundation for subsequent data analysis and control decisions.

[0073] The dynamic model building module in the central control system establishes a dynamic operating condition model based on the collected real-time data using mathematical modeling methods. The specific method is as follows:

[0074] A model for the relationship between flow rate and pressure: Based on Bernoulli's equation and the continuity equation in fluid mechanics, a gas flow rate model is established. With pressure The relationship model, for incompressible fluids (which can be approximated as incompressible fluids within a certain pressure range in the butterfly valve body 1 system), is expressed by Bernoulli's equation as follows:

[0075]

[0076] in, For gas density, The gas flow rate is... The height of the butterfly valve body 1 is its internal diameter. For gravitational acceleration, combined with the continuity equation , Given the cross-sectional area of ​​the butterfly valve body 1, the flow rate can be obtained through a series of mathematical derivations and transformations. With pressure Functional relationship between ;

[0077] In the actual modeling process, it is also necessary to consider factors such as the frictional resistance and local resistance of the butterfly valve body 1, and to improve the accuracy of the model by introducing corresponding resistance coefficients.

[0078] Temperature and density relationship model: based on the ideal gas law ,in, For gas volume, For the amount of gaseous substance, Using the ideal gas constant, the gas density is derived. With temperature The relationship between them;

[0079] For a given mass of gas, and As a constant, ; Substituting the mass of the gas into the ideal gas law, we get: ;

[0080] In actual industrial production, gases do not perfectly conform to the ideal gas state, therefore a compressibility factor needs to be introduced. Make corrections, that is By establishing an accurate temperature-density relationship model, gas density can be accurately calculated under different temperature conditions, providing an important basis for the calculation of parameters such as flow rate and pressure, and for model establishment.

[0081] Dust concentration and resistance relationship model: The presence of dust within the butterfly valve body 1 increases the resistance to gas flow. Through experimental data and theoretical analysis, a dust concentration model is established. With the resistance coefficient of the butterfly valve body 1 The relationship model generally shows that as dust concentration increases, the resistance coefficient of the butterfly valve body exhibits a non-linear growth trend. Polynomial fitting or other non-linear regression methods can be used to determine the coefficient based on a large amount of experimental data.

[0082] drag coefficient With dust concentration Functional relationship between In practical applications, combining this model with the flow-pressure relationship model can more accurately describe the flow characteristics of dust-laden gas within the butterfly valve body 1. By continuously updating and optimizing the above dynamic operating condition model, it can reflect the actual operating status of the butterfly valve body 1 system in real time, providing a reliable model foundation for subsequent intelligent control.

[0083] In this embodiment, the intelligent control module controls the butterfly valve body 1 in the central control system based on the established dynamic operating condition model. The specific method is as follows:

[0084] An adaptive fuzzy PID control algorithm is adopted, specifically including the following:

[0085] Fuzzy control component: The core idea of ​​fuzzy control is to transform the operator's experience and knowledge into fuzzy control rules. In this system,

[0086] The gas flow deviation within the butterfly valve body 1 and rate of change of flow deviation Flow deviation serves as the input variable for the fuzzy controller. Define as setting flow rate value Compared with the actual measured flow rate The difference between them, i.e. ;

[0087] Flow deviation change rate Then by adjusting the flow deviation The result, obtained through differential calculation, reflects the changing trend of the flow deviation. The input variable... and And the output variable (i.e., the opening adjustment amount of the butterfly valve body 1) The range of values ​​of ) is divided into several fuzzy subsets, and a corresponding membership function is defined for each fuzzy subset.

[0088] For example, flow deviation The fuzzy subsets are defined as negative large (NB), negative medium (NM), negative small (NS), zero (ZE), positive small (PS), positive medium (PM), and positive large (PB). Alternatively, a trapezoidal membership function can be used to describe the membership degree of each fuzzy subset. Based on the operator's experience and analysis of the system's operating characteristics, a series of fuzzy control rules are formulated.

[0089] For example, when the flow deviation The value is positive (PB) and the rate of change of flow deviation is [missing information]. When the value is positive (PS), it indicates that the actual flow rate is much greater than the set flow rate and is still slowly increasing. In this case, the opening degree of butterfly valve body 1 should be reduced significantly, i.e., the adjustment amount of butterfly valve body 1 opening degree. It is negative (NB).

[0090] These fuzzy control rules are based on The rules are stored in the fuzzy rule base in the form of [the rules].

[0091] In the fuzzy inference process, based on the current input variable value, the membership degree of the input variable in each fuzzy subset is calculated using the membership function. Then, inference is performed according to the fuzzy control rules to obtain the membership degree distribution of the output variable in each fuzzy subset. Finally, a suitable defuzzification method (such as the centroid method) is used to convert the fuzzy output into a precise butterfly valve body opening adjustment amount. 2. PID Control Section: Traditional PID controllers rely on system error... (In this system, flow deviation) ) and its integral and differential To calculate the control quantity Its control law can be expressed as:

[0092]

[0093] in, This is the proportionality coefficient. The integral coefficient is... These are the differential coefficients. In the adaptive fuzzy PID control algorithm, the three parameters of the PID controller are adjusted in real time by the fuzzy control component. , and .

[0094] Based on flow deviation and rate of change of flow deviation The size and trend of change are adjusted using fuzzy control rules. , and The value of allows the PID controller to better adapt to changes in system operating conditions.

[0095] For example, when the flow deviation When the value is large, the proportional gain can be appropriately increased to speed up the system's response. When the rate of change of flow deviation When the coefficient is large, the differential coefficient can be appropriately increased to prevent system overshoot. By organically combining fuzzy control and PID control, the adaptive fuzzy PID control algorithm can automatically adjust the control parameters when the operating conditions of the butterfly valve body 1 system change, thereby achieving precise and stable control of the opening degree of the butterfly valve body 1.

[0096] In this embodiment, the air source pressure and flow rate regulation module optimizes and regulates the air source pressure and flow rate during the control process in order to reduce energy consumption and improve the control performance of the butterfly valve body 1.

[0097] Based on the established dynamic operating condition model and the current system operating status, the gas source pressure is controlled by adjusting the pressure reducing valve and flow control valve on the gas source pipeline. and gas source flow Precise control.

[0098] Gas source pressure regulation: Based on the working characteristics of butterfly valve body 1 and the gas pressure inside butterfly valve body 1 Determine the appropriate gas source pressure based on the changes. When the gas pressure inside the butterfly valve body 1 When the gas flow rate is low and it is necessary to increase the opening degree of the butterfly valve body 1 to increase the gas flow rate, the gas source pressure should be appropriately increased. This is to ensure that the pneumatic actuator 2 can provide sufficient driving force to open the butterfly valve body 1.

[0099] Gas source pressure The adjustment can be initially calculated using the following formula:

[0100]

[0101] in, The minimum driving force required for the pneumatic actuator 2 to open the butterfly valve body 1 can be obtained through experiments or theoretical calculations based on the structural parameters and working conditions of the butterfly valve body 1. The diameter of piston 2 in pneumatic actuator 2; The pressure margin is reserved to take into account factors such as the resistance of the butterfly valve body 1 and the sealing friction.

[0102] In actual adjustment, it is also necessary to combine the real-time operating status and control effect of the system, and use an adaptive fuzzy PID control algorithm to adjust the gas source pressure. Fine-tuning is performed to achieve optimal control performance and energy efficiency.

[0103] Gas source flow rate adjustment: Gas source flow rate The adjustment is mainly determined by the rate of change of the opening degree of the butterfly valve body 1 and the system's response time requirements. When it is necessary to quickly change the opening degree of the butterfly valve body 1 to cope with rapid changes in operating conditions, the air supply flow rate should be appropriately increased. This is to accelerate the operation of pneumatic actuator 2. Air supply flow rate. The opening speed of the butterfly valve body 1 There is a certain relationship between them, and the following approximate model can be established through experimental or theoretical analysis:

[0104]

[0105] in, This is a proportional coefficient, which is related to factors such as the structure of the pneumatic actuator 2 and the resistance of the air supply pipeline, and needs to be calibrated experimentally. In actual control, the air supply flow is controlled by adjusting the opening speed command of the butterfly valve body 1, based on the output of the adaptive fuzzy PID control algorithm. Precise control.

[0106] For example, when the system requires the butterfly valve body 1 to open quickly, the required opening rate is calculated based on the speed of change. The corresponding gas source flow rate is calculated using the above model. The flow control valve is controlled to reach the corresponding opening degree to meet the rapid action requirements of the pneumatic actuator 2. Conversely, when the opening degree of the butterfly valve body 1 changes slowly, the air supply flow rate is appropriately reduced. To reduce energy consumption, the interaction between air source pressure and flow rate needs to be considered during the optimization and adjustment process. Changes in air source pressure affect the output force and operating speed of pneumatic actuator 2, thus affecting the air source flow rate requirement; conversely, changes in air source flow rate may also lead to fluctuations in air source pressure. Therefore, establishing an air source pressure... With gas source flow A coupling relationship model between them is established, and coordinated control is implemented in the control algorithm to achieve optimal matching between the two. For example, when the gas source pressure is increased... At this time, the gas supply flow rate can be appropriately reduced. This ensures the driving force of the pneumatic actuator 2 while avoiding excessive energy consumption.

[0107] In this embodiment, the opening control module calculates the opening adjustment amount of the butterfly valve body 1 based on the intelligent control algorithm. The optimized parameters of air source pressure and flow rate are used to control the real-time opening degree of the butterfly valve body 1 by controlling the action of the pneumatic actuator 2. Simultaneously, an opening degree sensor installed on the butterfly valve body 1 monitors the actual opening degree of the butterfly valve body 1 in real time. This feedback is then sent to the central control system to form a closed-loop control.

[0108] Butterfly valve body 1 opening control execution: The central control system will calculate the target butterfly valve body 1 opening. (Current opening plus opening adjustment amount) The air pressure is converted into a corresponding control signal and sent to the control unit of pneumatic actuator 2. Pneumatic actuator 2 then adjusts the control signal based on the optimized air pressure. and gas source flow Drive the butterfly plate to rotate to the target opening degree.

[0109] In this process, it is necessary to consider the mechanical characteristics of the butterfly valve body 1, such as the impact of factors like transmission mechanism clearance and frictional resistance on the opening control accuracy. By introducing a feedforward compensation element into the control algorithm, the control signal is corrected based on the mechanical characteristic model of the butterfly valve body 1 to improve the accuracy of opening control.

[0110] Opening feedback and deviation calculation: The opening sensor collects the actual opening of the butterfly valve body 1 in real time. This information is then transmitted to the central control system. The system calculates the actual opening degree. relative to target opening Deviation between This deviation reflects the actual effect of the butterfly valve body's opening control and is an important basis for feedback adjustments.

[0111] Feedback adjustment strategy: When the opening deviation When the deviation exceeds the set allowable error range, the central control system adjusts the opening amount according to the magnitude and direction of the deviation using an adaptive fuzzy PID control algorithm. The correction is made, and the target opening degree and control signal are recalculated to achieve precise adjustment of the opening degree of the butterfly valve body 1.

[0112] For example, when the actual opening is less than the target opening and the deviation is large, the opening adjustment amount is increased, and the rotation speed of the butterfly plate is increased; when the deviation is small, the adjustment amount is appropriately reduced to avoid overshoot. Through this closed-loop feedback control mechanism, the influence of various interference factors on the opening control of the butterfly valve body 1 can be effectively eliminated, ensuring that the butterfly valve body 1 can always accurately reach and maintain the target opening.

[0113] In this embodiment, in order to ensure that the butterfly valve body 1 can maintain good control performance under various operating conditions, the adaptive adjustment module needs to adaptively adjust and optimize the control strategy and parameters based on the real-time monitored operating parameters and the system's operating status.

[0114] Operating condition change identification: The central control system continuously analyzes and collects the gas flow rate inside butterfly valve body 1. ,pressure ,temperature Dust concentration By observing the changing trends of parameters, we can determine whether the system operating conditions have changed significantly.

[0115] For example, when dust concentration A rapid increase in volume within a short period indicates a significant change in production conditions, potentially requiring adjustment of the butterfly valve's opening to increase the throughput of dust-laden gas. By setting appropriate thresholds and change rate indicators, automatic identification of these changes in operating conditions can be achieved.

[0116] Adaptive adjustment of control parameters: Based on the identified type and degree of changes in operating conditions, the relevant parameters of the intelligent control algorithm are adaptively adjusted. For the adaptive fuzzy PID control algorithm, the main adjustments are made to the fuzzy control rule base, membership function, and adjustment range of PID parameters. For example, under conditions of high dust concentration, the resistance of butterfly valve body 1 increases, and the dynamic characteristics of the system change. In this case, it is necessary to adjust the response intensity of the fuzzy control rules to flow deviation and deviation change rate, and at the same time, appropriately increase the proportional coefficient of the PID controller. and integral coefficient To improve the system's response speed and anti-interference capability;

[0117] Dynamic operating condition model updates: As operating conditions change, the original dynamic operating condition model may no longer accurately reflect the actual operating state of the system. Therefore, it is necessary to update and optimize the dynamic operating condition model in real time based on new monitoring data. By employing online parameter identification methods such as recursive least squares and Kalman filtering, parameters in the model are continuously corrected, such as the drag coefficient in the flow-pressure relationship model and the compressibility factor in the temperature-density relationship model. This ensures that the model can always accurately describe the dynamic characteristics of the system, providing a reliable basis for the formulation and optimization of control strategies.

[0118] Multi-objective optimization decision-making: In the process of adaptive adjustment of operating conditions, multiple control objectives need to be comprehensively considered, such as adjustment accuracy, response speed, and energy consumption, to perform multi-objective optimization decision-making. This is achieved by establishing a multi-objective optimization function. ,in To adjust accuracy indicators (such as the square integral of flow deviation), For response speed metrics (such as system rise time), Energy consumption indicators (such as the amount of compressed air consumed). , , The weighting coefficients for each objective are set according to the priority requirements under different operating conditions. The central control system solves this multi-objective optimization problem through optimization algorithms to determine the optimal control parameters and strategies, thereby achieving coordinated optimization of multiple control objectives.

[0119] In summary, this invention combines a dynamic operating condition model to accurately reflect the system's operating status, laying a data foundation for precise control. The introduced adaptive fuzzy PID intelligent control algorithm integrates the flexibility of fuzzy control with the precision of PID control. By dynamically adjusting the opening of the butterfly valve body 1 based on flow deviation and rate of change, it significantly improves adjustment accuracy, keeping flow deviation within a minimal range to meet stringent environmental protection requirements for dust emission concentrations. Regarding response speed, through optimized adjustment of air source pressure and flow rate and closed-loop feedback control, the air source parameters are dynamically adjusted according to operating conditions, enabling the butterfly valve body 1 to respond quickly to sudden changes in operating conditions, maintaining stable pipeline pressure and flow, and effectively avoiding equipment failure and production interruption risks. In terms of energy consumption control, it abandons the traditional constant air source supply mode, dynamically adjusting air source pressure and flow rate according to actual operating conditions. While ensuring driving force, it reduces compressed air consumption, significantly lowering system energy consumption and saving production costs for enterprises. For complex operating conditions, the system possesses adaptive adjustment capabilities. By analyzing parameter change trends, it identifies changes in operating conditions, updates the dynamic model in real time, and optimizes control parameters. This enhances adaptability to harsh environments such as high temperature, high humidity, and high dust concentration, extending equipment lifespan and reducing maintenance costs. Furthermore, its comprehensive condition monitoring and fault diagnosis functions, through real-time monitoring of the status of various system components, extraction of fault characteristics, and the application of intelligent diagnostic algorithms, enable timely warnings and fault handling, improving system reliability and safety. This ensures the long-term stable and efficient operation of the industrial dust collector, comprehensively enhancing control performance and economic benefits.

[0120] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0121] Although embodiments of the invention have been shown and described, the scope of the invention will be defined by the appended claims and their equivalents by those skilled in the art.

Claims

1. A pneumatic butterfly valve for industrial dust collector pipelines, characterized in that, It includes a butterfly valve body (1) and a control management unit for controlling the butterfly valve body (1). A pneumatic actuator (2) is installed on the butterfly valve body (1). An ultrasonic flow meter (3), an opening sensor, a pressure sensor and a temperature sensor are installed in the butterfly valve body (1). The control and management unit includes a central control system, a data acquisition module, a dynamic model building module, an intelligent control module, a gas source pressure and flow regulation module, an opening control module, and an adaptive adjustment module.

2. The pneumatic butterfly valve for industrial dust collector pipelines according to claim 1, characterized in that, The data acquisition module measures the gas flow rate using an ultrasonic flow meter (3). The pressure P is measured by a pressure sensor, and the dust concentration inside the butterfly valve body (1) is measured by a laser dust concentration sensor. And measuring gas temperature using a temperature sensor By measuring the time difference of ultrasonic wave propagation in the downstream and upstream directions. Calculate the gas flow rate using the following formula. ； in, The flow coefficient of the flow meter. This is the reference time for the propagation of ultrasound in a stationary fluid.

3. A pneumatic butterfly valve for industrial dust collector pipelines according to claim 2, characterized in that, The dynamic model building module, located in the central control system, establishes a dynamic operating condition model based on the collected real-time data using mathematical modeling methods. The specific method is as follows: A model for the relationship between flow rate and pressure: Based on Bernoulli's equation and the continuity equation in fluid mechanics, a gas flow rate model is established. With pressure The relationship model, expressed by the Bernoulli equation, is as follows: in, For gas density, The gas flow rate is... The height of the internal diameter of the butterfly valve body (1) is [missing information]. For gravitational acceleration, combined with the continuity equation , The flow rate is obtained by taking the cross-sectional area of ​​the butterfly valve body (1). With pressure Functional relationship between ; Temperature and density relationship model: based on the ideal gas law ,in, For gas volume, For the amount of gaseous substance, It is the ideal gas constant; For a given mass of gas, and As a constant, ; Substituting the mass of the gas into the ideal gas law, we get: ; Introducing compression factor Make corrections, that is By establishing an accurate temperature-density relationship model, the gas density can be accurately calculated under different temperature conditions. Model of the relationship between dust concentration and resistance: Establishing a dust concentration model With the butterfly valve body (1) resistance coefficient Relationship model, drag coefficient With dust concentration Functional relationship between .

4. A pneumatic butterfly valve for industrial dust collector pipelines according to claim 3, characterized in that, The intelligent control module controls the butterfly valve body (1) in the central control system based on the established dynamic operating condition model. The specific method is as follows: An adaptive fuzzy PID control algorithm is adopted, specifically including the following: The gas flow deviation within the butterfly valve body (1) and rate of change of flow deviation Flow deviation serves as the input variable for the fuzzy controller. Define as setting flow rate value Compared with the actual measured flow rate The difference between them, i.e. ; Input variables and The range of values ​​for the output variables is divided into several fuzzy subsets, and a corresponding membership function is defined for each fuzzy subset, as follows: Flow deviation The fuzzy subsets are defined as follows: negative large NB, negative medium NM, negative small NS, zero ZE, positive small PS, positive medium PM, and positive large PB. Alternatively, a trapezoidal membership function can be used to describe the degree of membership of each fuzzy subset; The fuzzy control rules are formulated as follows: When the flow deviation For positive values, PB and flow deviation change rate When the value is positive (PS), it indicates that the actual flow rate is much greater than the set flow rate and is still slowly increasing. At this time, reduce the opening degree of the butterfly valve body (1), that is, reduce the opening degree adjustment amount of the butterfly valve body (1). For negative NB; The fuzzy output is converted into a precise butterfly valve body (1) opening adjustment amount using a defuzzification method. ; PID control section: The PID controller determines the system error based on the PID controller's response time. and its integral and differential To calculate the control quantity Its control law is expressed as: ； in, This is the proportionality coefficient. The integral coefficient is... is the differential coefficient.

5. A pneumatic butterfly valve for industrial dust collector pipelines according to claim 4, characterized in that, The air source pressure and flow rate regulation module optimizes and regulates the air source pressure and flow rate of the pneumatic actuator (2) during the control process; Based on the established dynamic operating condition model and the current system operating status, the gas source pressure is controlled by adjusting the pressure reducing valve and flow control valve on the gas source pipeline. and gas source flow The control methods are as follows: Gas source pressure regulation: Based on the working characteristics of the butterfly valve body (1) and the gas pressure Determine the gas source pressure based on the changes. When the gas pressure inside the butterfly valve body (1) When the gas flow rate is low and the opening degree of the butterfly valve body (1) needs to be increased to increase the gas flow rate, the gas source pressure is increased. Gas source pressure The adjustment is initially calculated using the following formula: ； in, The minimum driving force required for the pneumatic actuator (2) to open the butterfly valve body (1); The diameter of the piston of the pneumatic actuator (2); The pressure margin is reserved to take into account factors such as resistance and sealing friction. Gas source flow rate adjustment: Gas source flow rate The adjustment is determined based on the rate of change of the opening of the butterfly valve body (1) and the system's requirements for response time; According to the gas source flow rate The opening speed of the butterfly valve body (1) Based on the existing relationships, the following approximate model is established: ； in, This is the proportionality coefficient.

6. A pneumatic butterfly valve for industrial dust collector pipelines according to claim 5, characterized in that, The opening control module adjusts the opening amount of the butterfly valve body (1) according to the calculated amount. The parameters of air source pressure and flow rate are used to control the opening degree of the butterfly valve body (1) in real time by controlling the action of the pneumatic actuator (2). The specific method is as follows: The actual opening degree of the butterfly valve body (1) is monitored in real time using an opening degree sensor installed on the butterfly valve body (1). And feed it back to the central control system; The central control system will calculate the target butterfly valve body (1) opening degree. Current opening plus opening adjustment amount , which is converted into corresponding control signals and sent to the control unit of the pneumatic actuator (2); The pneumatic actuator (2) operates according to the control signal and the air source pressure. and gas source flow Drive the butterfly plate to rotate to the target opening degree; The opening sensor collects the actual opening degree of the butterfly valve body (1) in real time. It then transmits this information to the central control system, which calculates the actual opening degree. relative to target opening Deviation between ; When the opening deviation When the deviation exceeds the set allowable error range, the central control system adjusts the opening amount according to the magnitude and direction of the deviation using an adaptive fuzzy PID control algorithm. The adjustment is made and the target opening degree and control signal are recalculated to adjust the opening degree of the butterfly valve body (1).

7. A pneumatic butterfly valve for industrial dust collector pipelines according to claim 6, characterized in that, The adaptive adjustment module monitors the operating parameters and system status in real time, and adaptively adjusts and optimizes the control strategy and parameters. The specific method is as follows: The central control system continuously analyzes and collects the gas flow rate inside the butterfly valve body (1). ,pressure ,temperature Dust concentration The changing trend of parameters can be used to determine whether the system operating conditions have changed significantly. Based on the identified type and degree of changes in operating conditions, the relevant parameters of the intelligent control algorithm are adaptively adjusted. For the adaptive fuzzy PID control algorithm, the main adjustments are made to the fuzzy control rule base, membership function, and the adjustment range of PID parameters. The dynamic operating condition model is updated and optimized in real time based on the new monitoring data. The parameters in the model are continuously corrected by using the recursive least squares method and Kalman filter online parameter identification method. During the adaptive adjustment of operating conditions, multi-objective optimization decisions are made; By establishing a multi-objective optimization function ,in To adjust the accuracy index, For response speed indicators, As an energy consumption indicator, , , The weight coefficients for each objective are set according to the priority requirements under different operating conditions. The central control system solves the multi-objective optimization problem through optimization algorithms to determine the optimal control parameters and strategies, thereby achieving coordinated optimization of multiple control objectives.

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