CN117905939A - Feedback system for intelligent electric valve positioner and application method thereof - Google Patents
Feedback system for intelligent electric valve positioner and application method thereof Download PDFInfo
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Abstract
The application relates to the technical field of electric valves, and discloses a feedback system for an intelligent electric valve positioner and an application method thereof, wherein the feedback system comprises a sensor module, a sensor module and a control module, wherein the sensor module is used for continuously monitoring the position, the speed and other key parameters of the valve; the signal conditioning module is used for processing, amplifying and filtering the signals output by the sensor; the control algorithm module is used for calculating and determining an ideal position or state of the valve according to the feedback information of the sensor; the actuator module is used for controlling the motor or the hydraulic device and adjusting the position or the state of the valve; the diagnosis and health management module is used for monitoring the health condition of the system. Through integrating high intelligence, energy efficiency promotion and remote intelligent maintenance in an organic whole, its advanced perceptibility, energy optimization function and remote monitoring and maintenance characteristic make the system possess the advantage of high intelligent, sustainable energy utilization and remote intelligent maintenance, promote industrial production efficiency and reliability.
Description
Technical Field
The invention relates to the technical field of electric valves, in particular to a feedback system for an intelligent electric valve positioner and an application method thereof.
Background
An electro-pneumatic valve positioner is a device for controlling the position of a valve, commonly used in industrial control systems. It uses electrical signals to control the position of the valve and is equipped with a feedback system to ensure accurate positioning and control of the valve. The feedback system plays a vital role in the electro-pneumatic valve positioner, and it helps to monitor the position of the valve and feed back the actual position information to the control system in order to adjust the control signal in time to bring the valve to the desired position.
With the development of technology, this system gradually exposes some disadvantages, firstly, the conventional electric valve positioner control system mainly depends on fixed control algorithms and sensor technologies. The control system has certain advantages at the beginning of design, and can meet the production requirements at the time. However, such stationary control systems increasingly expose their limitations as the production process becomes complex and diverse. It can't carry out the self-adaptation according to actual demand and adjust, leads to production efficiency to receive the influence. Second, conventional electro-pneumatic valve positioner systems have significant waste in terms of energy consumption. Due to the lack of an active energy optimization mechanism, the system has lower energy utilization rate in the running process, thus not only increasing the production cost, but also causing a certain burden to the environment. Therefore, how to improve the energy utilization rate and reduce the production cost becomes a current urgent problem to be solved. In addition, conventional electro-pneumatic valve positioner monitoring systems are limited to local operation. This means that existing systems have difficulty meeting the demand as the monitoring and maintenance demands cross the territory. The lack of a perfect mechanism for remote monitoring and maintenance not only reduces the production efficiency, but also can cause potential safety hazards in the production process due to timeliness problems.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a feedback system for an intelligent electric valve positioner and an application method thereof, which solve the problems of intellectualization and self-adaptability, energy efficiency and sustainability, remote monitoring and intelligent maintenance in the prior art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a feedback system for an intelligent electro-pneumatic valve positioner, comprising,
The sensor module is used for continuously monitoring the position, the speed and other key parameters of the valve;
the signal conditioning module is used for processing, amplifying and filtering the signals output by the sensor;
the control algorithm module is used for calculating and determining an ideal position or state of the valve according to the feedback information of the sensor;
the actuator module is used for controlling the motor or the hydraulic device and adjusting the position or the state of the valve;
the intelligent diagnosis and health management module is used for monitoring the health condition of the system, diagnosing potential problems in real time and providing predictive maintenance information;
the energy efficiency optimizing module is used for optimizing the energy consumption of the system and improving the energy utilization efficiency;
The network communication and remote control module is used for providing remote monitoring and control capability and enabling a user to manage the valve system through a network;
and the user interface and data analysis module is used for providing an intuitive user interface and is used for monitoring the state of the system and analyzing the data in real time.
Preferably, the sensor module comprises,
And the sensing unit is used for monitoring the position, the speed and other key parameters of the valve.
Preferably, the signal conditioning module comprises,
And the signal conditioning unit is used for processing and optimizing the signals output by the sensor so as to be suitable for further control and analysis.
Preferably, the control algorithm module includes,
A control unit for running advanced control algorithms, such as psid control, adaptive control, model predictive control, etc., to calculate and determine the desired position or state of the valve.
Preferably, the actuator module comprises,
And the actuator unit adjusts the position or state of the valve according to the output signal of the control algorithm.
Preferably, the intelligent diagnosis and health management module comprises,
The diagnosis unit is used for monitoring the running condition of the system and detecting potential problems by using a fault diagnosis algorithm and sensor data;
and the health management unit is used for analyzing the system health data, providing predictive maintenance information and supporting the long-term stable operation of the system.
Preferably, the energy efficiency optimization module comprises,
The energy monitoring unit is used for monitoring the energy consumption of the system in real time by using an energy sensor and a monitoring technology;
And the optimizing algorithm unit is used for running an energy optimizing algorithm, adjusting a valve running strategy and improving the energy utilization efficiency of the system.
Preferably, the network communication and remote control module comprises,
A communication unit for communication inside and outside the system;
And a remote control unit for providing a remote control function, ensuring that a user can remotely access and manage the valve system through a network.
Preferably, the user interface and data analysis module comprises,
A user interface unit for providing an intuitive user interface for a user to monitor a system state and to interact;
And the data analysis unit is used for helping a user to understand the running condition of the system and making related decisions by using an advanced data visualization tool and an analysis algorithm.
An application method of a feedback system for an intelligent electric valve positioner, comprising the following steps:
S1, installing and configuring, namely installing a sensor module to monitor key parameters such as the position, the speed and the like of a valve, configuring a signal conditioning module, and ensuring that signals output by the sensor are properly processed;
S2, starting and initializing the system, starting a control algorithm module, ensuring the normal operation of a controller, a microprocessor or an embedded system, initializing an actuator module, and ensuring that a motor or a hydraulic device is in a controllable state;
S3, parameter adjustment and calibration are carried out, parameters in the control algorithm module are adjusted to adapt to different working conditions and requirements, calibration is carried out on the sensor module, and accuracy and reliability of acquired data are ensured;
S4, controlling in operation, calculating and determining an ideal position or state of the valve by a control algorithm module according to real-time data fed back by the sensor, and adjusting the position of the valve by an actuator module to realize closed-loop control of the system;
S5, health management and maintenance, wherein an intelligent diagnosis and health management module monitors the running condition of the system, diagnoses the potential problems in real time, performs predictive maintenance according to the information provided by the health management module, and prevents the system from faults;
S6, optimizing the energy efficiency, wherein an energy efficiency optimizing module monitors the energy consumption of the system in real time, operates an energy optimizing algorithm, and adjusts a valve operation strategy to improve the energy utilization efficiency of the system;
S7, remote monitoring and control, a network communication and remote control module is started, the system is ensured to be connected with a cloud or a remote server, and a user can remotely monitor the state of the system, adjust parameters and conduct real-time control through a remote control unit;
s8, data analysis and user interaction are performed, a user interface and a data analysis module provide an intuitive user interface, and a user can analyze system operation data, know performance indexes, make decisions and perform system optimization by using the data analysis unit.
The invention provides a feedback system for an intelligent electric valve positioner and an application method thereof.
The beneficial effects are as follows:
1. By introducing advanced sensor technology, control algorithm and intelligent diagnosis module, the system can sense environmental change in real time, automatically adjust valve position and perform intelligent diagnosis on system state. The system has high intelligence and self-adaptability, can respond to external changes quickly, and improves the flexibility and efficiency of the whole system.
2. According to the invention, by introducing the energy efficiency optimization module, the system can monitor and adjust the energy consumption in real time, and the energy utilization efficiency is improved to the maximum extent. The method not only reduces the energy cost, but also meets the requirement of sustainable development and reduces the influence on the environment. The energy management function of the system is beneficial to improving the overall sustainability, and accords with the pursuit of the modern industry on energy efficiency and environmental protection.
3. According to the invention, by introducing the network communication and remote control module, a user can realize remote monitoring and control of the valve system through the Internet. By combining with the intelligent diagnosis and health management module, the system has the capabilities of real-time monitoring and remote maintenance, potential problems are found in advance, predictive maintenance is performed, the risk of system faults is reduced, and the reliability and maintainability of the system are improved. This is of particular importance for distributed engineering or for devices that are difficult to access.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a schematic diagram of a sensor module structure according to the present invention;
FIG. 3 is a schematic diagram of a signal conditioning module according to the present invention;
FIG. 4 is a schematic diagram of a control algorithm module according to the present invention;
FIG. 5 is a schematic view of an actuator module configuration of the present invention;
FIG. 6 is a schematic diagram of the intelligent diagnosis and health management module according to the present invention;
FIG. 7 is a schematic diagram of an energy efficiency optimization module according to the present invention;
FIG. 8 is a schematic diagram of a network communication and remote control module according to the present invention;
FIG. 9 is a schematic diagram of a user interface and a data analysis module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
Referring to fig. 1-2, an embodiment of the present invention provides a feedback system for an intelligent electro-pneumatic valve positioner, comprising a sensor module for continuously monitoring valve position, speed and other key parameters; the sensor module includes a sensing unit for monitoring the position, speed and other key parameters of the valve.
Specifically, the sensor module comprises a position sensing unit for providing high-precision valve position monitoring; a speed sensing unit measuring a movement speed to support more accurate control; an optical sensing unit for detecting the surrounding environment of the valve; and an inertial measurement unit (I MU) for measuring acceleration and angular velocity, and improving dynamic response capability of the system.
FIG. 3 shows a signal conditioning module for processing, amplifying and filtering signals output by the sensor; the signal conditioning module comprises a signal conditioning unit for processing and optimizing the signal output by the sensor so that it is suitable for further control and analysis.
Specifically, the signal conditioning module comprises an amplifier unit with adjustable amplification factor, and is suitable for different signal amplitudes; a filter unit capable of configuring a filtering algorithm to suppress noise and interference; and the high-precision analog-to-digital converter improves the accuracy of signal processing.
FIG. 4 is a schematic diagram showing a control algorithm module for calculating and determining an ideal position or state of a valve based on sensor feedback information; the control algorithm module includes a control unit for running advanced control algorithms, such as PID control, adaptive control, model predictive control, etc., to calculate and determine an ideal position or state of the valve.
Specifically, the control algorithm module comprises a classical PID control unit, and balances the stability and response speed of the system; the self-adaptive control unit dynamically adjusts control parameters; and Model Predictive Control (MPC), which considers system dynamics to improve control performance.
FIG. 5 shows an actuator module for controlling a motor or hydraulic device to adjust valve position or status; the actuator module comprises an actuator unit, and adjusts the position or state of the valve according to the output signal of the control algorithm.
Specifically, the actuator module comprises a brushless motor, and provides a motor technology with higher efficiency and longer service life; and the intelligent hydraulic system has intelligent control and feedback functions, and improves the precision and response speed of the hydraulic system.
FIG. 6 is a diagram showing an intelligent diagnosis and health management module for monitoring system health status, diagnosing potential problems in real time, and providing predictive maintenance information; the intelligent diagnosis and health management module comprises a diagnosis unit, a fault diagnosis unit and a control unit, wherein the diagnosis unit monitors the running condition of the system by using a fault diagnosis algorithm and sensor data to detect potential problems; and the health management unit is used for analyzing the system health data, providing predictive maintenance information and supporting the long-term stable operation of the system.
Specifically, the intelligent diagnosis and health management module comprises a more complex fault diagnosis algorithm unit, so that the detection capability of the system on diversified faults is improved; and the health evaluation unit is used for comprehensively evaluating the overall health condition of the system according to the multi-source data and providing more accurate health information.
FIG. 7 shows an energy efficiency optimization module, which is used for optimizing the energy consumption of the system and improving the energy utilization efficiency; the energy efficiency optimizing module comprises an energy monitoring unit, an energy sensor and a monitoring technology, wherein the energy consumption of the system is monitored in real time; and the optimizing algorithm unit is used for running an energy optimizing algorithm, adjusting a valve running strategy and improving the energy utilization efficiency of the system.
Specifically, the energy efficiency optimization module comprises an energy storage unit, an energy storage technology is introduced, and the buffering capacity of the system to energy fluctuation is improved; and renewable energy integration, supporting integration with a renewable energy system, and optimizing the overall energy utilization of the system.
FIG. 8 is a network communication and remote control module for providing remote monitoring and control capability to enable a user to manage a valve system via a network; the network communication and remote control module comprises a communication unit for communication between the inside and the outside of the system; and a remote control unit for providing a remote control function, ensuring that a user can remotely access and manage the valve system through a network.
Specifically, the network communication and remote control module comprises a more enhanced safety communication protocol, so that the safety of remote control is ensured; and a remote parameter adjusting function, which provides a function of remotely adjusting control parameters for a user and optimizes the system performance.
FIG. 9 is a diagram of a user interface and data analysis module for providing an intuitive user interface for real-time monitoring of system status and data analysis; the user interface and data analysis module comprises a user interface unit, a data analysis module and a data analysis module, wherein the user interface unit is used for providing an intuitive user interface so that a user can monitor the state of the system and interact with the system; and the data analysis unit is used for helping a user to understand the running condition of the system and making related decisions by using an advanced data visualization tool and an analysis algorithm.
Specifically, the user interface and data analysis module includes real-time data visualization tools that provide more intuitive, interactive real-time data visualization tools; and the introduction of higher-level data analysis algorithms to provide a deeper understanding of system performance.
FIG. 1 is a schematic illustration of a method of applying a feedback system for an intelligent electro-pneumatic valve positioner, comprising the steps of:
S1, installing and configuring, namely installing a sensor module to monitor key parameters such as the position, the speed and the like of a valve, configuring a signal conditioning module, and ensuring that signals output by the sensor are properly processed;
S2, starting and initializing the system, starting a control algorithm module, ensuring the normal operation of a controller, a microprocessor or an embedded system, initializing an actuator module, and ensuring that a motor or a hydraulic device is in a controllable state;
S3, parameter adjustment and calibration are carried out, parameters in the control algorithm module are adjusted to adapt to different working conditions and requirements, calibration is carried out on the sensor module, and accuracy and reliability of acquired data are ensured;
S4, controlling in operation, calculating and determining an ideal position or state of the valve by a control algorithm module according to real-time data fed back by the sensor, and adjusting the position of the valve by an actuator module to realize closed-loop control of the system;
S5, health management and maintenance, wherein an intelligent diagnosis and health management module monitors the running condition of the system, diagnoses the potential problems in real time, performs predictive maintenance according to the information provided by the health management module, and prevents the system from faults;
S6, optimizing the energy efficiency, wherein an energy efficiency optimizing module monitors the energy consumption of the system in real time, operates an energy optimizing algorithm, and adjusts a valve operation strategy to improve the energy utilization efficiency of the system;
S7, remote monitoring and control, a network communication and remote control module is started, the system is ensured to be connected with a cloud or a remote server, and a user can remotely monitor the state of the system, adjust parameters and conduct real-time control through a remote control unit;
s8, data analysis and user interaction are performed, a user interface and a data analysis module provide an intuitive user interface, and a user can analyze system operation data, know performance indexes, make decisions and perform system optimization by using the data analysis unit.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A feedback system for an intelligent electro-pneumatic valve positioner is characterized by comprising,
The sensor module is used for continuously monitoring the position, the speed and other key parameters of the valve;
the signal conditioning module is used for processing, amplifying and filtering the signals output by the sensor;
the control algorithm module is used for calculating and determining an ideal position or state of the valve according to the feedback information of the sensor;
the actuator module is used for controlling the motor or the hydraulic device and adjusting the position or the state of the valve;
the intelligent diagnosis and health management module is used for monitoring the health condition of the system, diagnosing potential problems in real time and providing predictive maintenance information;
the energy efficiency optimizing module is used for optimizing the energy consumption of the system and improving the energy utilization efficiency;
The network communication and remote control module is used for providing remote monitoring and control capability and enabling a user to manage the valve system through a network;
and the user interface and data analysis module is used for providing an intuitive user interface and is used for monitoring the state of the system and analyzing the data in real time.
2. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the sensor module comprises,
And the sensing unit is used for monitoring the position, the speed and other key parameters of the valve.
3. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the signal conditioning module comprises,
And the signal conditioning unit is used for processing and optimizing the signals output by the sensor so as to be suitable for further control and analysis.
4. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the control algorithm module comprises,
A control unit for running advanced control algorithms, such as PID control, adaptive control, model predictive control, etc., to calculate and determine the desired position or state of the valve.
5. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the actuator module comprises,
And the actuator unit adjusts the position or state of the valve according to the output signal of the control algorithm.
6. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the intelligent diagnostic and health management module comprises,
The diagnosis unit is used for monitoring the running condition of the system and detecting potential problems by using a fault diagnosis algorithm and sensor data;
and the health management unit is used for analyzing the system health data, providing predictive maintenance information and supporting the long-term stable operation of the system.
7. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the energy efficiency optimization module comprises,
The energy monitoring unit is used for monitoring the energy consumption of the system in real time by using an energy sensor and a monitoring technology;
And the optimizing algorithm unit is used for running an energy optimizing algorithm, adjusting a valve running strategy and improving the energy utilization efficiency of the system.
8. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the network communication and remote control module comprises,
A communication unit for communication inside and outside the system;
And a remote control unit for providing a remote control function, ensuring that a user can remotely access and manage the valve system through a network.
9. A feedback system for an intelligent electro-pneumatic valve positioner according to claim 1, wherein the user interface and data analysis module comprises,
A user interface unit for providing an intuitive user interface for a user to monitor a system state and to interact;
And the data analysis unit is used for helping a user to understand the running condition of the system and making related decisions by using an advanced data visualization tool and an analysis algorithm.
10. Method for applying a feedback system for an intelligent electric valve positioner according to claims 1-9, characterized in that it comprises the following steps:
S1, installing and configuring, namely installing a sensor module to monitor key parameters such as the position, the speed and the like of a valve, configuring a signal conditioning module, and ensuring that signals output by the sensor are properly processed;
S2, starting and initializing the system, starting a control algorithm module, ensuring the normal operation of a controller, a microprocessor or an embedded system, initializing an actuator module, and ensuring that a motor or a hydraulic device is in a controllable state;
S3, parameter adjustment and calibration are carried out, parameters in the control algorithm module are adjusted to adapt to different working conditions and requirements, calibration is carried out on the sensor module, and accuracy and reliability of acquired data are ensured;
S4, controlling in operation, calculating and determining an ideal position or state of the valve by a control algorithm module according to real-time data fed back by the sensor, and adjusting the position of the valve by an actuator module to realize closed-loop control of the system;
S5, health management and maintenance, wherein an intelligent diagnosis and health management module monitors the running condition of the system, diagnoses the potential problems in real time, performs predictive maintenance according to the information provided by the health management module, and prevents the system from faults;
S6, optimizing the energy efficiency, wherein an energy efficiency optimizing module monitors the energy consumption of the system in real time, operates an energy optimizing algorithm, and adjusts a valve operation strategy to improve the energy utilization efficiency of the system;
S7, remote monitoring and control, a network communication and remote control module is started, the system is ensured to be connected with a cloud or a remote server, and a user can remotely monitor the state of the system, adjust parameters and conduct real-time control through a remote control unit;
s8, data analysis and user interaction are performed, a user interface and a data analysis module provide an intuitive user interface, and a user can analyze system operation data, know performance indexes, make decisions and perform system optimization by using the data analysis unit.
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