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CN-121994301-A - Intelligent vibration reduction pipe bracket on-line monitoring system and method

CN121994301ACN 121994301 ACN121994301 ACN 121994301ACN-121994301-A

Abstract

The invention discloses an intelligent vibration reduction pipe bracket on-line monitoring system and method, and belongs to the technical field of pipeline vibration reduction. The system comprises a pipe bracket body, a magnetorheological vibration absorber integrated on the pipe bracket body, a monitoring module and a control module. The monitoring module collects pipeline vibration and strain data and vibration absorber working current and temperature data. The control module extracts characteristics based on the data, determines state levels of multiple dimensions such as vibration threat, structural stress and vibration absorber load, queries a predefined strategy mapping relation according to the combination of the state levels, determines a target control mode and calculates target control parameters, and then performs self-adaptive smooth track planning based on the structural stress state in the switching process of the control parameters to generate a smoothly-changed control instruction so as to drive the magnetorheological vibration absorber to adjust damping force. The invention avoids secondary impact damage to the pipeline caused by abrupt change of damping force instructions in the traditional control, and realizes multi-objective collaborative optimization of vibration suppression, structural protection and equipment health management.

Inventors

  • CHEN CHANGLIN
  • WEI YANG
  • FENG HAITAO
  • WEI XIAOPING
  • LIU CONGCONG

Assignees

  • 南京中特化工动力设备有限公司

Dates

Publication Date
20260508
Application Date
20260127

Claims (10)

  1. 1. The utility model provides an intelligence damping pipe support on-line monitoring system, includes the pipe support body, and integrate in magnetorheological vibration absorber on the pipe support body, its characterized in that still includes: The monitoring module is connected with the pipe bracket body and the magnetorheological vibration absorber and is used for collecting pipeline vibration data, pipeline structure strain data and working current and temperature data of the magnetorheological vibration absorber; the control module is respectively and electrically connected with the monitoring module and the magnetorheological vibration absorber; wherein the control module is configured to: Determining state grade information of at least two dimensions representing the current state of the system based on the data collected by the monitoring module; Selecting or generating a corresponding current control mode and target control parameters from a predefined control mode library according to the combination of the at least two dimensional state grade information; generating a control instruction for driving the magnetorheological vibration absorber based on the target control parameter, and planning a smooth track of the change process of the control instruction; and outputting the planned control instruction to the magnetorheological vibration absorber so as to adjust the damping force of the magnetorheological vibration absorber.
  2. 2. An intelligent vibration reduction pipe bracket on-line monitoring method applied to the system as claimed in claim 1, comprising: collecting pipeline vibration data, pipeline structure strain data and working current and temperature data of the magnetorheological vibration absorber through the monitoring module; processing the collected pipeline vibration data, and extracting vibration intensity and dominant frequency characteristics; processing the acquired strain data of the pipeline structure, and extracting dynamic stress amplitude characteristics; processing the collected working current and temperature data, and extracting the load characteristics of the magnetorheological vibration absorber; Determining a vibration threat level, a structural stress level and a vibration absorber load level based on the extracted vibration intensity feature, the dynamic stress amplitude feature and the load feature, respectively; Inquiring a predefined control strategy mapping relation according to the combination of the vibration threat level, the structural stress level and the vibration absorber load level which are currently determined, and determining a target control mode which is suitable for the current working condition; Calculating target control parameters of the magnetorheological absorber based on the target control mode and the dominant frequency characteristic; Performing smooth track planning on a switching process from a current control parameter to the target control parameter to generate a smoothly-changing control instruction sequence; And driving the magnetorheological vibration absorber to work according to the control instruction sequence.
  3. 3. The method according to claim 2, wherein said determining vibration threat level, structural stress level and absorber load level, in particular comprises: Comparing the vibration intensity with a first intensity threshold value and a second intensity threshold value, marking the vibration intensity as a low threat level if the vibration intensity is lower than the first intensity threshold value, marking the vibration intensity as a medium threat level if the vibration intensity is between the first intensity threshold value and the second intensity threshold value, marking the vibration intensity as a high threat level if the vibration intensity is higher than the second intensity threshold value, and marking the vibration intensity as an impact threat level if the change rate of the vibration acceleration or the strain detected exceeds a third intensity threshold value; Comparing the dynamic stress amplitude with the percentage of the material fatigue limit, marking the dynamic stress amplitude as a safety stress level if the dynamic stress amplitude is lower than a first percentage threshold value, marking the dynamic stress amplitude as a concerned stress level if the dynamic stress amplitude is between the first percentage threshold value and a second percentage threshold value, and marking the dynamic stress amplitude as a risk stress level if the dynamic stress amplitude is higher than a second percentage threshold value; And comparing the working current and the temperature with a rated current value and a temperature alarm threshold respectively, marking the working current and the temperature as idle load grades if the current and the temperature are lower than low proportion values of the corresponding thresholds, marking the working current and the temperature as normal load grades if the current and the temperature are in a normal range, marking the working current and the temperature as high load grades if any parameter continuously exceeds the normal range but does not reach the alarm value, and marking the working current and the temperature as overload grades if any parameter reaches or exceeds the alarm value.
  4. 4. A method according to claim 3, wherein the predefined control strategy mapping comprises at least: Mapping to a transient daemon mode when the vibration threat level is an impact threat level, wherein a control instruction is programmed to boost the damping force of the magnetorheological absorber to a preset maximum protective force in a preset very short time and to smoothly drop after an impact event; Mapping to a vibration suppressing shape preserving mode when the vibration threat level is a high or medium threat level and the structural stress level is a risk or attention stress level, wherein vibration suppression is the dominant target, but simultaneously limiting the calculated target control parameters to be within an upper limit determined based on the dynamic stress amplitude feedback; And mapping to a life priority mode when the vibration threat level is a medium or low threat level and the vibration absorber load level is a high load or overload level, wherein the calculated value of the target control parameter is actively reduced or an intermittent power-off strategy is introduced to reduce the heating of the magnetorheological vibration absorber.
  5. 5. The method of claim 2, wherein processing the collected pipeline vibration data to extract vibration intensity and dominant frequency features comprises: Calculating the root mean square value of the vibration acceleration signal in the time domain as the vibration intensity; And carrying out spectrum analysis on the vibration acceleration signal, and identifying the frequency component with the highest energy in the frequency spectrum as the dominant frequency characteristic.
  6. 6. The method according to claim 4, wherein the performing smooth trajectory planning for the handover process specifically comprises: Acquiring the current structural stress level; Selecting a preset smooth time constant according to the stress level of the structure, wherein the smooth time constant corresponding to the risk stress level is larger than the concerned stress level, and the smooth time constant corresponding to the concerned stress level is larger than the safety stress level; and processing the target control parameter by using the selected smooth time constant through a first-order low-pass filtering algorithm to generate the smoothly-changing control instruction sequence.
  7. 7. The method of claim 2, further comprising a lifetime prediction and adaptation management step of: carrying out stress cycle statistics based on historical pipeline structure strain data, and calculating the accumulated fatigue damage degree of the pipeline based on a Miner accumulated damage rule; Calculating the performance health index of the magnetorheological fluid through a preset aging model based on the historical working temperature data of the magnetorheological shock absorber and the historical shear rate data estimated according to the working current and the piston speed of the magnetorheological shock absorber; comparing the accumulated fatigue damage degree with a preset first damage threshold value and a preset second damage threshold value, and comparing the performance health index with a preset first health threshold value and a preset second health threshold value; Based on the comparison result, at least one of the following operations is performed: If the accumulated fatigue damage exceeds the first damage threshold, reducing a first percentage threshold and/or a second percentage threshold used in determining the structural stress level; If the accumulated fatigue damage degree exceeds the second damage threshold value, increasing the mapping weight pointing to the vibration suppression and shape retention mode or a more conservative control mode for the working condition combination containing the current structural stress level in the predefined control strategy mapping relation; If the performance health index is lower than the first health threshold, increasing a mapping weight pointing to the life priority mode for a working condition combination comprising the current absorber load level in the predefined control strategy mapping relation; If the performance health index is lower than the second health threshold, the shock absorber load level is directly forced to be marked as an overload level, and the life priority mode is triggered.
  8. 8. The method according to claim 7, wherein said reducing a first percentage threshold and/or a second percentage threshold used in determining said structural stress level, in particular comprises: Linearly or non-linearly decreasing the first and/or second percentage threshold according to the magnitude of the accumulated fatigue damage exceeding the first damage threshold, and/or The step of increasing the mapping weight comprises the step of introducing a priority gain coefficient to a pattern matching result meeting the weight increasing condition when inquiring the mapping relation of the control strategy, so that the pattern is preferentially selected under the same condition.
  9. 9. The method of claim 2, wherein preprocessing the data after the data is acquired includes bandpass filtering the vibration and strain data to remove noise and DC components and time synchronizing alignment of all sensor data.
  10. 10. The method of claim 2, further comprising the step of fault-tolerant operation of switching to a predefined fault-tolerant control mode when critical sensor data anomalies or losses are detected, the fault-tolerant control mode employing fixed, conservative current commands to drive the magnetorheological absorber, or to simplified PID control logic based on remaining valid sensor data.

Description

Intelligent vibration reduction pipe bracket on-line monitoring system and method Technical Field The invention relates to an intelligent vibration reduction pipe bracket on-line monitoring system and method, and belongs to the technical field of vibration reduction pipe brackets. Background The fluid conveying pipeline is used as a key infrastructure in the fields of energy, chemical industry, aerospace, ocean engineering and the like, and the safe and stable operation of the fluid conveying pipeline is important. However, in actual operation, the piping system is coupled by various factors such as internal fluid pressure pulsation, flow rate variation, external device vibration, environmental excitation, and the like, and complex vibration is inevitably generated. The long-term or severe pipeline vibration can not only cause structural fatigue damage and loose leakage of connecting pieces, generate noise pollution, but also can even cause disastrous accidents when serious, and directly threaten personnel safety and production continuity. Therefore, effective control of pipe vibration has been an important issue in the engineering field. In the vibration control theory, control strategies can be classified into passive control, active control, and semi-active control, depending on whether external energy input is required. The passive control technology, such as installing a dynamic vibration absorber, a viscoelastic vibration absorber or utilizing a nonlinear energy sink, has simple structure, high reliability and no need of external energy sources, and is widely applied to engineering. However, the parameters of the passive control device are usually fixed, and their optimal vibration suppression effect is achieved only at specific frequencies or conditions. As Ding Hu is reviewed in the study of passive control of vibration of a flow transmission pipeline, the passive device with fixed parameters has the problem of insufficient adaptability in the face of the characteristics of various excitation sources and complex and variable working conditions of a pipeline system in actual engineering, and is difficult to cope with broadband excitation and transient impact. In order to overcome the limitation of passive control, the magnetorheological vibration absorber with the advantages of quick response, low power consumption and continuous adjustable output is used as a semi-active control device and is introduced into the field of pipeline vibration reduction. Researchers have conducted intensive research into the theory and performance of their design and have attempted to apply them to piping systems. The existing typical application mode is to monitor the vibration signal of the pipeline, calculate a target damping force or target current through a control algorithm (such as PID), and directly drive the magnetorheological absorber to output corresponding damping. The core assumption of this control logic is that the output of the absorber can track the command quickly and accurately to achieve vibration suppression. However, deep analysis of the dynamics and control process of the piping system may find a potential key technical problem. The conduit is an elastic structure whose vibrational response has specific modal and frequency characteristics. Magnetorheological vibration absorbers change their output damping force by changing the current, essentially rapidly changing their "equivalent stiffness" or "constrained impedance" to the pipeline system. If the control algorithm is to change the output state of the absorber instantaneously and substantially (e.g., the current is changed in a step-like manner) in order to pursue a rapid vibration suppression effect, abrupt changes in the force applied to the pipe will occur. This abrupt force corresponds to an additional transient impact excitation for the pipe structure. This impact may have the adverse effects of, firstly, exciting higher order modes of vibration of the pipe that were not primarily excited, complicating the vibration pattern, and, secondly, transient excessive forces may create excessive stress concentrations locally in the pipe, accelerating fatigue damage to the structure, and even directly leading to structural damage. This means that a control action aimed at protecting the pipeline may itself be a new source of damage to the pipeline if mishandled. Therefore, how to design the control strategy, while effectively inhibiting the original vibration, ensure that the output of the control action is smooth and controlled, and avoid secondary impact damage to the pipeline due to the dynamic characteristics of the control strategy, and the control strategy is one of the core problems which must be solved in order to realize intelligent and safe vibration reduction of the pipeline. In summary, in the current pipe vibration reduction method based on the magnetorheological vibration absorber, when the control response speed and effect are pursued,