Intelligent self-learning pressure adjusting control method and device

Abstract

The invention relates to the technical field of intelligent pressure control methods, in particular to an intelligent self-learning pressure adjusting control method and device which comprises a valve body and further comprises a valve inlet, a shell, a pressure sensor, a displacement sensor and a motor, the valve inlet is formed in the valve body, the shell is fixedly connected to the valve body, the pressure sensor is detachably connected to the valve body, and the displacement sensor is fixedly connected to the valve body. According to the intelligent self-learning pressure adjusting control device, the position of the valve rod can be optimized in a self-learning mode, accurate control over fluid pressure can be achieved by adjusting the opening degree of the valve rod, and the intelligent self-learning pressure adjusting control device is crucial to the industrial process where pressure changes need to be strictly controlled; the intelligent self-learning pressure regulation control device can realize free pressure control, can effectively balance the pressure at the inlet and the outlet of a pipeline or equipment, prevents fluid backflow or backflow caused by overlarge pressure difference, and ensures stable operation of a system.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent pressure control methods, and in particular to a control method and device for intelligent self-learning pressure regulation. Background Art

[0002] As we all know, with the continuous updating of advanced continuous flow chemistry technologies and the continuous improvement of environmental requirements, continuous flow technology, as one of the advanced technologies of the new era, has been transformed from a niche academic application research into a recognized industrial technology with the advantages of safety, high efficiency, high quality and low cost. From the perspective of green chemistry, continuous flow technology has been proven to help process optimization, provide new synthetic routes, improve reaction selectivity, reduce downstream processing costs and improve process safety.

[0003] These advantages of continuous flow can reduce energy costs and material waste, and can be quickly integrated with AI-guided process exploration and optimization strategies to achieve smart manufacturing. Microfluidics technology can enable these new models and meet the needs of the next generation of modular, simpler and sustainable chemical and material research, development and manufacturing.

[0004] However, the automatic control valves currently on the market cannot achieve this kind of correction of pressure zero position through self-correction, resulting in poor pressure accuracy, inaccurate initialization position, and even valve non-operating status during system use.

[0005] As a position-controlled mechanical device, the automatic pressure regulating valve drives the valve plate through motor control. The detection value of the valve inlet pressure sensor and the valve setting value are controlled through PID closed-loop control to output a motor control pulse signal. In addition, during the entire life cycle of the valve, as time goes by, the spring length cannot 100% restore the free height, resulting in the zero position of the valve stem and the fully open position of the valve being not the same position. If only the position signal is used, it is difficult to ensure the size of the valve opening, which is bound to affect the accuracy of the back pressure and the action performed by the valve. Secondly, it will cause the original position to be unable to be identified, resulting in the inability to start after the pressure returns to zero, thereby causing the entire system to be unable to back pressure. Therefore, a control method and device for intelligent self-learning pressure regulation is needed. Summary of the invention

[0006] Technical issues solved In view of the deficiencies in the prior art, the present invention provides a control method and device for intelligent self-learning pressure regulation to solve the problems raised in the above background technology.

[0007] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a control method and device for intelligent self-learning pressure regulation, comprising a valve body, and also comprising: a valve inlet, the valve inlet being opened on the valve body; A housing, the housing being fixedly connected to the outer surface of the valve body; A pressure sensor, which is detachably connected to the valve body, detects pressure changes at the valve inlet in real time and feeds back signals to the controller in a timely manner; A displacement sensor, wherein the displacement sensor is detachably connected to the valve body; A motor is mounted on the valve body.

[0008] Preferably, it also includes: a valve stem mounted on the inner surface of the housing; A spring top fixed support, the spring top fixed support is installed on the lower surface of the valve stem; A compression spring, the compression spring being mounted on the lower surface of a fixed support at the top of the spring; A spring bottom fixing support is installed on the lower surface of the compression spring.

[0009] Furthermore, it also includes: A valve diaphragm holder, the valve diaphragm holder is mounted on the top of the valve body; a pressure-resistant diaphragm, the pressure-resistant diaphragm being mounted on the lower surface of the valve diaphragm holder; A valve outlet is provided on the valve body.

[0010] Furthermore, S100: the output ratio of the back pressure valve motor is 0 and the motor stops rotating; S101: The displacement sensor reads the position to generate a voltage signal U and performs self-test; S102: If the voltage signal is greater than the maximum value or the voltage signal is less than the minimum value, it indicates a system short circuit or system failure.

[0011] A further solution, S201: if the voltage signal U is less than or equal to U2max or greater than or equal to U2min, proceed to the next step; S202: the valve body enters the valve stem position repair stage; S203: The back pressure valve motor rotates with a large duty cycle; S204: If the voltage signal U is greater than or equal to U1max or less than or equal to U1min, proceed to the next step; S205: The back pressure valve stem position repair failed and a fault was reported.

[0012] Based on the above solution, S301: if the value of the voltage signal U minus U1 is less than A; S302: Entering the back pressure valve stem position self-optimization stage; S303: near the zero position of the valve stem, the motor rotates in the reverse direction by Ns to keep the valve fully open, and the displacement sensor voltage signal U2' is recorded at this time; S304: The motor rotates forward Ns until the valve is fully open, and the displacement sensor voltage signal U1' is recorded at this time; S305: Assign the voltage signals U2' and U1' of the valve stem zero position and the valve fully open position to U2 and U1 respectively.

[0013] Further on the basis of the above scheme, when S205 and S305 are completed, the sub-cycle is completed and the valve stem position self-optimization of the next cycle is entered. If the value of U minus U1 in S301 does not meet the conditions, the valve stem position self-optimization of the next cycle is directly entered.

[0014] S00: Initialization module; S101: displacement sensor voltage signal U acquisition module; S102: first judgment module, first broadcast module; S201; second judgment module; S203: repair module, second broadcast module, loop end module; S301: The third judgment module, the liberalization calibration module.

[0015] (III) Beneficial effects Compared with the prior art, the present invention provides a control method and device for intelligent self-learning pressure regulation, which has the following beneficial effects: 1. This intelligent self-learning pressure regulating control device can self-learn and optimize the valve stem position. By adjusting the opening of the valve stem, it can achieve precise control of fluid pressure, which is crucial for industrial processes that require strict control of pressure changes.

[0016] 2. This intelligent self-learning pressure regulating control device can realize free pressure control, effectively balance the pressure of the inlet and outlet of the pipeline or equipment, prevent the fluid backflow or reflux caused by excessive pressure difference, and ensure the stable operation of the system.

[0017] 3. The intelligent self-learning pressure regulating control device has a simple structure and is easy to install and maintain. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a side view structural schematic diagram of the present invention; Figure 2 A schematic diagram of the regulating valve liberalization process method of the present invention; Figure 3 It is a schematic diagram of the pressure regulation process method of the present invention; Figure 4It is a structural schematic diagram of the intelligent pressure regulator of the present invention; Figure 5 This is a schematic diagram of the limit of the valve stem of the present invention; Figure 6 It is a structural schematic diagram of the valve body of the present invention.

[0019] In the figure: 1. valve body; 2. valve inlet; 3. housing; 4. pressure sensor; 5. displacement sensor; 6. motor; 7. valve stem; 8. spring top fixing support; 9. compression spring; 10. spring bottom fixing support; 11. valve diaphragm holder; 12. pressure-resistant diaphragm; 13. valve outlet; 14. FCU controller. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figures 1 to 5 , a control method and device for intelligent self-learning pressure regulation, including a valve body 1, as the main structure of the entire back pressure valve system, the valve body 1 provides the basis for installing all other components and defines the path of fluid flow, and also includes: a valve inlet 2, a shell 3, a pressure sensor 4, a displacement sensor 5, and a motor 6. The valve inlet 2 is opened on the valve body 1, and the valve inlet 2 is used to receive fluid from the upstream, which is the entry point for the fluid to enter the back pressure valve system. The shell 3 is fixedly connected to the outer surface of the valve body 1. The shell 3 provides protection for internal components (such as motor 6, sensor, etc.) and forms a closed working environment to reduce external interference. The pressure sensor 4 is detachably connected On the valve body 1, the pressure sensor 4 is used to monitor the fluid pressure in the pipeline or equipment in real time, and convert the pressure signal into an electrical signal so that the control system can make adjustments based on the pressure feedback. The displacement sensor 5 is detachably connected to the valve body 1, and the displacement sensor 5 is fixedly connected to the fixed support 8 at the top of the spring. The displacement sensor 5 is used to detect the position of the valve stem 7 or related components and generate a corresponding voltage signal to reflect the opening or state of the valve, which is essential for achieving precise position control and fault diagnosis. The motor 6 is installed on the valve body 1. The motor 6 is the power source of the valve system. The motor 6 controls the opening and closing of the valve and the flow regulation by driving the movement of the valve stem 7 and other components.

[0022] First, see Figure 4In this embodiment, it also includes: a valve stem 7, a spring top fixed support 8, a compression spring 9, and a spring bottom fixed support 10. The valve stem 7 is installed on the inner surface of the shell 3. The valve stem 7 is a key component connecting the motor 6 and the internal mechanism of the valve. The rotational motion of the motor 6 is transmitted to the internal mechanism of the valve through the valve stem 7 to realize the opening and closing operation of the valve. The spring top fixed support 8 is installed on the lower surface of the valve stem 7, and the compression spring 9 is installed on the lower surface of the spring top fixed support 8. The spring system is used to provide the necessary sealing force when the valve is closed and help reset when the valve is opened. At the same time, it can also absorb system vibration and impact to a certain extent. The spring bottom fixed support 10 is installed on the lower surface of the compression spring 9.

[0023] Then, see Figure 4 In this embodiment, it also includes: a valve diaphragm holder 11, a pressure-resistant diaphragm 12, and a valve outlet 13. The valve diaphragm holder 11 is installed on the top of the valve body 1. The valve diaphragm holder 11 is used to achieve valve sealing and fluid control. The pressure-resistant diaphragm 12 is installed on the lower surface of the valve diaphragm holder 11. The pressure-resistant diaphragm 12 is a key sealing component of the valve and can withstand high pressure and prevent fluid leakage. The valve outlet 13 is opened on the valve body 1, which is used to discharge the regulated fluid out of the back pressure valve system, which is the exit point of the fluid flow.

[0024] Second, see Figure 2 In this embodiment, S100: the output ratio of the back pressure valve motor 6 is 0 and the motor 6 stops rotating. S101: The displacement sensor 5 reads the position to generate a voltage signal U and performs a self-check. S102: If the voltage signal is greater than the maximum value or the voltage signal is less than the minimum value, it indicates a system short circuit or system failure.

[0025] Again, see Figure 2 In this embodiment, S201: if the voltage signal U is less than or equal to U2max or greater than or equal to U2min, proceed to the next step. S202: The valve body 1 enters the valve stem 7 position repair stage, S203: The back pressure valve motor 6 rotates with a larger duty cycle. S204: If the voltage signal U is greater than or equal to U1max or less than or equal to U1min, proceed to the next step. S205: The back pressure valve stem 7 position repair fails and a fault is reported.

[0026] In addition, see Figure 2 In this embodiment, S301: if the value of the voltage signal U minus U1 is less than A, S302: Entering the back pressure valve stem 7 position self-optimization stage, S303: When the valve stem 7 is near the zero position, the motor 6 rotates in the reverse direction by Ns to keep the valve fully open, and the voltage signal U2' of the displacement sensor 5 is recorded. S304: The motor 6 rotates forward Ns to the fully open state of the valve, and the voltage signal U1' of the displacement sensor 5 is recorded at this time. S305: Assign the voltage signals U2' and U1' of the valve stem 7 zero position and the valve fully open position to U2 and U1 respectively.

[0027] In addition, see Figure 2 In this embodiment, when S205 and S305 are completed, the secondary cycle is completed and the valve stem 7 position self-optimization of the next cycle is entered. If the value of U minus U1 in S301 does not meet the conditions, the valve stem 7 position self-optimization of the next cycle is directly entered. In this process, the motor 6, the displacement sensor 5 and the control system work together to read the voltage signal of the displacement sensor 5 and perform corresponding operations (such as stopping the motor 6, impact rotation, reverse rotation, etc.) according to preset logical judgment conditions (such as the range of the voltage signal, the change of the valve stem 7 position, etc.) to achieve the repair and self-optimization of the valve stem 7 position. This process helps to improve the stability and reliability of the back pressure valve system and reduce the system downtime caused by mechanical failure or improper operation.

[0028] In addition, see Figure 3 In this embodiment, S00: initialization module; S101: a voltage signal U acquisition module of a displacement sensor 5; S102: first judgment module, first broadcast module; S201; second judgment module; S203: repair module, second broadcast module, loop end module; S301: The third judgment module, the liberalization calibration module.

[0029] Working principle: The intelligent self-learning pressure regulating control method and device are as follows: when in use, the operator flows the fluid into the valve inlet 2, the pressure sensor 4 on the housing 3 measures the pressure of the fluid, converts the pressure into an electrical signal and uploads it to the FCU controller 14, the motor 6 controls the up and down movement of the valve stem 7 through the FCU controller 14, the displacement sensor 5 can detect the position of the valve stem 7, the valve stem 7 descends and contacts the spring top fixed support 8, the spring top fixed support 8 squeezes the compression spring 9, the compression spring 9 compresses the spring bottom fixed support 10 by deformation, the spring top fixed support squeezes the pressure-resistant diaphragm 12 to control the flow rate and flow of the fluid, and finally the fluid flows out at the valve outlet 13.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent self-learning pressure regulating control device, comprising a valve body (1), characterized in that: Also includes: A valve inlet (2), wherein the valve inlet (2) is provided on the valve body (1); A housing (3), the housing (3) being fixedly connected to the valve body (1); a pressure sensor (4), the pressure sensor (4) being detachably connected to the valve body (1); a displacement sensor (5), the displacement sensor (5) being detachably connected to the valve body (1); A motor (6), wherein the motor (6) is mounted on the valve body (1).

2. The intelligent self-learning pressure regulating control device according to claim 1, characterized in that: Also includes: A valve stem (7), the valve stem (7) being mounted on the inner surface of the housing (3); A spring top fixing support (8), wherein the spring top fixing support (8) is mounted on the lower surface of the valve stem (7); A compression spring (9), the compression spring (9) being mounted on the lower surface of the spring top fixing support (8); A spring bottom fixing support (10), wherein the spring bottom fixing support (10) is mounted on the lower surface of the compression spring (9).

3. The intelligent self-learning pressure regulating control device according to claim 2, characterized in that: Also includes: A diaphragm holder (11), the diaphragm holder (11) being mounted on the top of the valve body (1), the valve diaphragm holder (11) being pressed around the pressure-resistant diaphragm (12) on the valve body 3 to form a sealing structure of the valve; a pressure-resistant diaphragm (12), the pressure-resistant diaphragm (12) being mounted on the lower surface of the valve diaphragm holder (11), and the valve diaphragm holder (11) forms a sealing structure by squeezing the periphery of the pressure-resistant diaphragm (12) on the valve body 3; A valve outlet (13), wherein the valve outlet (13) is opened on the valve body (1).

4. The intelligent self-learning pressure regulating control method according to claim 3 is characterized in that: S100: the output ratio of the motor (6) is 0 and the motor (6) stops rotating; S101: the displacement sensor (5) reads the position to generate an electrical signal U and performs a self-check; S102: If the electrical signal is greater than the maximum value or less than the minimum value, it indicates a system short circuit or system failure.

5. The intelligent self-learning pressure regulating control method according to claim 4 is characterized in that: S201: If the electrical signal U is less than or equal to U2max or greater than or equal to U2min, proceed to the next step; S202: the valve stem (7) enters a position self-repairing stage; S203: the motor (6) is rotated with a relatively large duty cycle, so that the valve stem (7) moves in a direction close to the valve body (1); S204: If the electrical signal U is greater than or equal to U1max or less than or equal to U1min, proceed to the next step; S205: The position of the back pressure valve stem (7) fails to be repaired and a fault is reported.

6. The intelligent self-learning pressure regulating control method according to claim 5 is characterized in that: S301: If the value of the electrical signal U minus U1 is less than A; S302: Entering the valve stem (7) position self-optimization stage; S303: When the valve stem (7) is near the zero position, the motor (6) rotates forward by Ns to keep the valve in a fully open state. At this time, the pressure signal is 0 and the voltage signal U1' of the displacement sensor (5) is recorded; S304: the motor (6) rotates in the reverse direction for 2Ns until the valve is in a fully open state, at which time the pressure signal is displayed as 0 and the voltage signal U2' of the displacement sensor (5) is recorded; S305: Assigning the voltage signals U1' and U2' of the valve stem (7) at the zero position and the valve fully open position to U1 and U2 respectively.

7. An intelligent self-learning pressure regulating control method according to claims 5 and 6, characterized in that: When S205 and S305 are completed, the cycle ends and the valve stem (7) position self-optimization of the next cycle is entered. If the value of U minus U1 in S301 does not meet the conditions, the valve stem (7) position self-optimization of the next cycle is directly entered.

8. The intelligent self-learning pressure regulating control method according to claim 7 is characterized in that: S00: Initialization module; S101: displacement sensor (5) electrical signal U acquisition module; S102: first judgment module, first broadcast module; S201; second judgment module; S203: repair module, second broadcast module, loop end module; S301: The third judgment module, the liberalization calibration module.

Images