Pump and fan vibration and noise control system based on intelligent monitoring and self-adaptive adjustment

Abstract

The invention relates to an intelligent self-adaptive vibration and noise control system applied to pump and fan equipment, and aims to realize real-time monitoring and effective control of vibration and noise generated in the operation process of the equipment by integrating an advanced intelligent monitoring technology and a self-adaptive adjustment algorithm. The system core comprises a plurality of high-precision sensors which are used for collecting vibration, noise, temperature and other data of key parts and transmitting information to the central processing unit through the wireless communication technology. The built-in self-adaptive control algorithm of the unit can dynamically adjust the damping coefficient of the vibration isolator, the configuration of the sound absorption material, the angle of the fan blade and other key parameters according to the real-time data analysis result, so that the purpose of reducing vibration and noise is achieved. The system also has a real-time feedback adjustment mechanism, can automatically optimize the control strategy according to the control effect, and ensures that the optimal performance can be maintained under different working conditions. In addition, the user can monitor the system state and the control effect in real time through a friendly user interaction interface, and necessary manual setting or intervention is carried out. According to the intelligent control system, the operation efficiency and the working environment quality of the pump and the fan are improved, the requirements of the modern industry for automatic and intelligent equipment management are met, and remarkable environmental protection and economic benefits are achieved.

Description

TECHNICAL FIELD

[0002] The present invention relates to the field of mechanical engineering, particularly to the vibration and noise control technology of fluid mechanical equipment such as pumps and fans. In industrial production, building environment, energy systems and other related fields, pumps and fans as key power transmission equipment, the vibration and noise generated during operation not only affect the performance and life of the equipment, but also may have adverse effects on the surrounding environment and personnel's work and life. Therefore, developing a system that can effectively monitor and control the vibration and noise generated during the operation of these devices is of great significance to improve the efficiency of equipment operation, ensure operation safety, improve working environment and meet environmental protection requirements. The present invention aims to realize intelligent monitoring and automatic control of the vibration and noise of pump and fan equipment by integrating advanced sensor technology, wireless communication technology, data processing algorithm and adaptive control strategy, so as to provide an efficient, reliable and environmentally friendly vibration and noise solution for industrial and civil fields. BACKGROUND

[0003] In modern industry and civil fields, pumps and fans as common fluid mechanical equipment are widely used in water supply, heating, air conditioning, chemical industry, power and environmental protection and other industries. These devices not only provide necessary power and transport fluid, but also generate vibration and noise during operation. Vibration not only may cause early fatigue and damage of the equipment structure, but also may cause resonance of the pipeline system, causing safety hazards.

[0004] Traditional vibration and noise control methods usually rely on passive vibration isolation and sound absorption measures, which often require a lot of experience and tests in design and implementation, and once installed, the parameters are difficult to adjust according to the actual working conditions. With the development of industrial automation and intelligent technology, real-time monitoring and intelligent control of the running state of the equipment become possible. However, most of the existing intelligent control systems focus on performance monitoring and fault diagnosis of the equipment, and there are still great technical challenges in the comprehensive control of vibration and noise.

[0005] Therefore, the development of a vibration and noise control system integrated with intelligent monitoring, real-time data analysis and adaptive control strategy has important practical significance for improving the running efficiency of pump and fan equipment, reducing maintenance cost, protecting environment and improving personnel working conditions. This system can monitor the vibration and noise level of the equipment in real time, intelligently identify and analyze the source and trend of vibration and noise, and optimize the control effect of vibration and noise by automatically adjusting the control strategy, so as to realize effective management of the vibration and noise of pump and fan equipment. SUMMARY

[0006] The present application provides an intelligent adaptive vibration and noise control system for pumps and fans. Through integrated intelligent monitoring, advanced data processing algorithms, adaptive control strategies, and real-time feedback adjustment mechanisms, the system achieves precise control over the vibrations and noises generated during the operation of pumps and fans, optimizing equipment performance and improving the working environment.

[0007] The intelligent monitoring module of the present application is composed of a series of high-precision sensors designed specifically for monitoring key operating parameters of pumps and fans. Vibration sensors are installed on the support structure of the equipment to capture mechanical vibrations; noise sensors are placed around the equipment to monitor sound levels; temperature sensors are installed near components that may generate heat to monitor the temperature status of the equipment. These sensors are connected to the central processing unit through hardwired or wireless means, ensuring real-time data transmission and high reliability.

[0008] The central processing unit is the core of the system, responsible for receiving data from the intelligent monitoring module and running complex data processing algorithms. This unit uses high-performance processors and is equipped with specially developed software that can analyze vibration, noise, and temperature data in real time, identify abnormal patterns, predict potential fault risks, and develop appropriate control strategies.

[0009] The adaptive control module automatically adjusts the operating parameters of pumps and fans based on the analysis results of the central processing unit. This module can control the damping force of vibration isolators to reduce vibration transmission; adjust the properties of sound-absorbing materials to improve acoustic efficiency; and optimize the angle of fan blades to reduce noise generation. In addition, this module can use machine learning techniques to continuously optimize control strategies based on the operating history of the equipment and environmental changes, improving the adaptability and stability of the system.

[0010] The real-time feedback adjustment mechanism of the present application enables intelligent feedback adjustment based on real-time monitoring data of control effects. For example, if the vibration or noise level exceeds the preset threshold, the system will automatically enhance vibration isolation or sound absorption measures, or adjust the angle of fan blades to reduce noise generation. This mechanism ensures that the system can quickly respond and maintain optimal control effects when facing changes in equipment operating status or external environmental changes.

[0011] To facilitate the monitoring and control of the system by operators, the present application provides a user interaction interface. This interface visually displays device status, monitoring data, control effects, and alarm information. Users can manually set control parameters such as adjusting thresholds or modifying control strategies through this interface. In addition, the interface supports fault diagnosis and maintenance guidelines to help users quickly locate problems and take appropriate measures.

[0012] Implementation process: S1. System installation: Install sensors at designated locations of the pump and fan, and ensure stable connection of all sensors to the central processing unit.

[0013] S2. System initialization: Start the central processing unit, load necessary control algorithms and data processing modules.

[0014] S3. Real-time monitoring: Sensors start collecting data and transmit them to the central processing unit in real time.

[0015] S4. Data analysis: The central processing unit analyzes the collected data to identify abnormal patterns and potential risks.

[0016] S5. Control strategy generation: Based on the results of data analysis, the central processing unit generates control instructions and sends them to the adaptive control module.

[0017] S6. Control execution: The adaptive control module adjusts parameters such as vibration isolators, sound-absorbing materials, and fan blades according to the control instructions.

[0018] S7. Effect monitoring and adjustment: The system monitors the control effect in real time and adjusts necessary parameters through a feedback adjustment mechanism.

[0019] S8. User monitoring: Users monitor the system status through the interactive interface and make necessary manual settings or interventions.

[0020] S9. System optimization: The system continuously optimizes control strategies and performance based on long-term operation data and user feedback.

[0021] Through the above implementation process, the intelligent adaptive vibration and noise control system of the present invention can effectively reduce the vibration and noise of pump and fan equipment, improve the operation efficiency and reliability of the equipment, and provide a more quiet and comfortable environment for operators and the surrounding environment. The implementation of this system will greatly improve the overall performance and work efficiency of pump and fan equipment, and has important practical application value and market prospect.

[0022] The present application aims to solve a series of technical problems in the control of vibration and noise generated by pumps and fans during operation, including but not limited to the following aspects: 1. Precise monitoring of vibration and noise: In traditional methods, vibration and noise monitoring often relies on discrete measurement and manual inspection, which leads to a lack of real-time and comprehensive monitoring data. The present application achieves continuous monitoring of key positions of pumps and fans through the deployment of a series of high-precision sensors, ensuring real-time data acquisition and high-precision analysis. 2. Anti-interference ability in complex environments: There are many interference factors in industrial environments, such as electromagnetic interference and temperature changes, which may affect the accuracy and stability of sensors. The sensor design of the present application takes these environmental factors into account, using anti-interference technology and environmental compensation mechanisms to ensure long-term stable and reliable data collection. 3. Intelligent analysis of vibration and noise: Analysis of vibration and noise data requires complex algorithms and a large amount of computing resources. The central processing unit of the present application uses high-performance computing platforms and advanced data processing algorithms to quickly and accurately identify the characteristics of vibration and noise, and predict potential fault risks. 4. Formulation of adaptive control strategy: Traditional vibration and noise control methods are usually static and lack adaptability to changes in device operating conditions. The adaptive control module of the present application can dynamically adjust control parameters based on real-time data analysis results, achieving precise control of vibration and noise. 5. Implementation of real-time feedback adjustment: In order to maintain the stability and reliability of control effects, the system needs to be able to perform real-time feedback adjustment based on control effects. The real-time feedback adjustment mechanism of the present application compares the difference between actual output and expected target, and automatically corrects control instructions, ensuring continuous optimization of control strategies. 6. Convenience of user interaction and operation: Users need an intuitive and friendly interface to monitor system status and perform operations. The present application provides a multi-platform compatible user interaction interface, allowing users to easily view device status, monitor data and control effects, and perform necessary manual intervention.

[0023] By solving the above technical problems, the intelligent adaptive vibration and noise control system of the present application not only improves the operating efficiency and reliability of pumps and fans, but also provides a quiet and comfortable working environment for operators, having important practical application value and broad market prospects.

[0024] In the intelligent adaptive vibration and noise control system of the present application, the key points to be protected include the following aspects: 1. Configuration and layout of intelligent monitoring module: selection, arrangement position and integration method of sensors to ensure comprehensive and accurate monitoring of key parameters such as vibration, noise and temperature of pumps and fans. 2. Data processing and analysis algorithm: algorithm for processing monitoring data in central processing unit, including but not limited to signal processing, pattern recognition, anomaly detection and prediction model, which is the basis for intelligent analysis and control strategy formulation. 3. Adaptive control strategy: strategy and method for dynamically adjusting the damping of vibration isolators, layout of sound-absorbing materials and angle of fan blades in adaptive control module, which is the core of intelligent and automatic control of the system. 4. Real-time feedback adjustment mechanism: the ability of the system to adjust itself according to the control effect, including collection, processing of feedback signals and real-time updating of control parameters, to ensure that the system can quickly respond and maintain optimal control effect. 5. Design of user interface: layout, function and operation logic of user interface to ensure that users can intuitively and conveniently monitor system status, view monitoring data and control effect, and perform necessary manual intervention. 6. Scalability and upgradeability of the system: scalability and upgradeability in system design to adapt to future technological development and application requirements, maintaining long-term effectiveness and competitiveness of the system. 7. Fault diagnosis and early warning function: fault diagnosis and early warning mechanism in the system, including identification of abnormal states, generation of alarm signals and implementation of emergency control measures to improve system safety and reliability. 8. Environmental adaptability design: environmental adaptability design of sensors and system components, including anti-interference capability, environmental compensation mechanism and long-term stability to ensure effective operation of the system in complex industrial environments.

[0025] The intelligent adaptive vibration and noise control system of the present application realizes accurate control of vibration and noise generated by pumps and fan equipment during operation through its unique monitoring, analysis, control and feedback adjustment mechanism. The implementation of the system significantly improves the operating efficiency and reliability of the equipment, prolongs the service life of the equipment, and creates a quieter and more comfortable working environment for operators. In addition, the adaptive capability of the system enables it to quickly respond to different operating conditions and environmental changes, ensuring the stability and durability of the control effect. The friendly design of the user interface makes monitoring and operation easy and convenient, while the scalability and upgradeability of the system ensure its long-term technological leadership and market adaptability. Overall, the present application not only realizes innovation in technology, but also exhibits significant superiority in environmental protection and economic benefits, with broad application prospects and important industrial value. BRIEF DESCRIPTION OF DRAWINGS: Fig. 1 is a flowchart of the system of the present application. Fig. 2 is a flowchart of data recording and analysis of the present application.

Claims

1. An intelligent adaptive vibration and noise control system for pumps and fans, characterized by, Comprising: - A plurality of high-precision sensors configured at key positions of the pump and the fan for real-time collection of vibration, noise, and temperature data; - A wireless communication module for transmitting the data collected by the sensors to a central processing unit; - The central processing unit has a built-in adaptive control algorithm that dynamically adjusts key parameters such as damper coefficient of the vibration isolator, configuration of sound-absorbing materials, and angle of the fan blades based on real-time data analysis results to control vibration and noise; - A real-time feedback adjustment mechanism that automatically optimizes the control strategy based on the control effect to ensure the stability and effectiveness of the system under different working conditions; - A user interaction interface that provides real-time monitoring and manual intervention functions, allowing users to view the device status, control effect, and make necessary settings or operations.

2. The intelligent adaptive vibration and noise control system according to claim 1, wherein the sensors include but are not limited to vibration sensors, noise sensors, and temperature sensors, all of which have high sensitivity and anti-interference capability to ensure the accuracy and reliability of data collection.

3. The intelligent adaptive vibration and noise control system according to claim 1 or 2, wherein the central processing unit further comprises a data processing module that uses advanced data analysis and machine learning algorithms to conduct in-depth analysis and pattern recognition on the collected data to achieve more accurate control strategy adjustment.

4. The intelligent adaptive vibration and noise control system according to any preceding claim, wherein the real-time feedback adjustment mechanism includes a self-learning algorithm and a performance evaluation module that can automatically adjust control parameters, optimize system performance, and improve the adaptability and stability of control effect based on historical control data and real-time feedback information.

5. The intelligent adaptive vibration and noise control system according to any preceding claim, wherein the user interaction interface is a graphical interface that includes data display, system monitoring, parameter setting, and alarm prompt functions, and supports multi-platform access including but not limited to touch screens, computers, and mobile devices.

6. A control method using the intelligent adaptive vibration and noise control system according to any one of claims 1 to 5, characterized in that, Comprising the following steps: - Real-time collection of vibration, noise, and temperature data using sensors configured at key positions of the pump and the fan; - Transmission of data to the central processing unit through the wireless communication module; - Analysis of data by the central processing unit according to the adaptive control algorithm and dynamic adjustment of the control strategy; - Automatic optimization of control parameters by the real-time feedback adjustment mechanism based on the control effect; - System monitoring and necessary manual intervention by the user through the user interaction interface.

7. The control method according to claim 6, further comprising the step of automatically triggering an alarm prompt and taking corresponding emergency control measures to ensure equipment safety and personnel health when the system detects abnormal vibration or noise levels.

8. The control method according to any preceding claim, wherein the adaptive control algorithm includes but is not limited to genetic algorithms, neural networks, or fuzzy logic control, etc. for intelligent and automated adjustment of vibration and noise control strategies.

9. A data processing module of an intelligent adaptive vibration and noise control system for pumps and fans, characterized by The module can analyze, store and replay the collected data in real time, support various data analysis tools and visualization techniques, so as to enable the user to conduct in-depth analysis and fault diagnosis.

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