CN115264221A - Active monitoring system and semi-active control method for pipeline vibration - Google Patents

Active monitoring system and semi-active control method for pipeline vibration Download PDF

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Publication number
CN115264221A
CN115264221A CN202110478672.3A CN202110478672A CN115264221A CN 115264221 A CN115264221 A CN 115264221A CN 202110478672 A CN202110478672 A CN 202110478672A CN 115264221 A CN115264221 A CN 115264221A
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vibration
pipeline
data
control
module
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陈博
何洪阳
张瑶
危安泽
尚宪和
刘强
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CNNC Nuclear Power Operation Management Co Ltd
Nuclear Power Qinshan Joint Venture Co Ltd
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CNNC Nuclear Power Operation Management Co Ltd
Nuclear Power Qinshan Joint Venture Co Ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L55/00—Devices or appurtenances for use in, or in connection with, pipes or pipe systems
    • F16L55/04—Devices damping pulsations or vibrations in fluids
    • F16L55/041—Devices damping pulsations or vibrations in fluids specially adapted for preventing vibrations
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00—Protection or supervision of installations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses an active monitoring system and a semi-active control method for pipeline vibration, and particularly relates to the technical field of pipeline vibration monitoring and control. The system solves the problem of monitoring the vibration of the pipeline, and achieves the purpose of damping the pipeline without changing the pipeline structure or stopping the construction. The optimal control parameters can be searched according to the system operation condition through a big data algorithm, the efficiency of the control system is improved, and meanwhile, the optimal damping initial value participating in the semi-active control algorithm is quickly matched, so that the system achieves the aim of vibration reduction of the pipeline.

Description

Active monitoring system and semi-active control method for pipeline vibration
Technical Field
The invention belongs to the technical field of pipeline vibration monitoring and control, and particularly relates to an active monitoring system and a semi-active control method for pipeline vibration.
Background
In recent years, with the rapid development of industries such as nuclear power, ships, petrochemical industry, aerospace and the like, the development trend is large-scale, integrated and intelligent, and people put higher requirements on structural vibration, safety and stability. Vibration reduction and noise reduction become a hotspot problem of research in various industries. Pipes are widely used in modern industry as important tools for transporting media, and are numerous and intricate in arrangement. The structural fatigue of the pipeline is caused by vibration, the pipeline welding part is cracked due to long-term accumulation, and leakage is induced in severe cases; meanwhile, the vibration can be transmitted to accessory equipment of the pipeline, such as a valve, an instrument tube and the like, along the pipeline, so that the accessory of the pipeline generates violent vibration, the function of the accessory of the pipeline is seriously damaged, and even disastrous accidents are caused. The failure of a conduit due to vibration has long been countless and therefore effective measures must be taken to monitor and control conduit vibration.
The vibration of the pipeline is mainly caused by three aspects: vibrations transmitted by equipment or foundations connected to the pipeline; vibration caused by pressure pulsation of fluid in the pipe; fluid vortices in the pipe and vibrations caused by air column resonance. The method of restraining pipeline vibration is many, and traditional methods such as vibration isolation, vibration absorption are often used to many times, for example increase support, additional bump leveller, add orifice plate behind the valve etc. main problematic is: (1) the structure of the pipeline is changed, so that the pipeline structure is complicated, and even mechanical evaluation needs to be carried out on the key pipeline; (2) the methods are constructed during shutdown, so that the economic benefit is influenced; (3) the traditional method needs to preset frequency, lacks self-regulation function, and has unobvious control effect and even can aggravate pipeline vibration when the system changes working conditions or lifts power. With the progress of science and technology, more and more intelligent semi-active control methods are applied to pipeline vibration control.
At present, many researches on pipeline vibration monitoring have been carried out at home and abroad, and the conventional submarine pipeline suspended vortex-induced vibration active monitoring system and method (patent number: CN 105318964B) provides a submarine pipeline suspended vortex-induced vibration active monitoring system, so that the data transmission frequency and the energy consumption of a monitoring device are reduced, and the suspended span monitoring and governing efficiency is improved. Yang Taibo monitors the dynamic vibration and static position offset of a main pipeline by using a relative displacement sensor in the design of a nuclear power plant main pipeline vibration monitoring system based on a virtual instrument, and realizes online real-time monitoring of the main pipeline vibration based on a virtual instrument technology, an equipment configuration graph technology and a database management technology (24 th volume, 10 th period, 13 th to 15 th pages in 2016 (computer measurement and control)). In the aspect of pipeline vibration control, vibration is transmitted to the controllable damper through external damping for the pipeline system accessory based on semi-active control of the controllable damper, vibration energy is converted into heat energy from mechanical energy and finally consumed in damping materials, and a vibration damping effect is achieved. A pipeline vibration monitoring and control device based on piezoelectric materials (patent number: CN 110715723A) realizes the mutual conversion of mechanical vibration and alternating current by utilizing the piezoelectric materials, can convert the mechanical energy of pipeline vibration into electric energy, realizes the monitoring and control of the pipeline vibration and simultaneously has the vibration damping effect. Zhou Yunmeng (Zhou Yunmeng, experimental study of vibration control of rotor and pipeline based on magneto-rheological damper, master thesis of Beijing university of chemical industry, 2017) designs a magneto-rheological damper, and builds up a magneto-rheological damper and a pipeline vibration test bed to realize intelligent control of pipeline vibration.
However, the practical system often has a quasi-periodic working mode, i.e. power-up-steady operation (-variable condition) -power-down-power-up, and especially vibration monitoring and control during variable condition or power-up and power-down of the system are particularly important. The method is characterized in that the method comprises the steps of processing various information by using a big data analysis method, mining the association in the information and providing support and assistance for a commander to make decisions. Big data has the characteristics of '5V', namely huge data capacity (Volume), fast data processing (Velocity), data diversification (Variety), small Value density (Value) and result accuracy (Veracity). The basic principle is as follows: in the processes of data acquisition, transmission, processing and application, a series of key technologies for obtaining analysis and prediction results along with data processing are realized, and high-efficiency storage and high-speed transmission are realized, so that the aim of data to knowledge is fulfilled, and the conversion of data to decision is promoted.
Disclosure of Invention
The invention aims to provide an active monitoring system and a semi-active control method for pipeline vibration, which are used for intelligently monitoring and evaluating pipeline vibration based on a big data concept aiming at the complex vibration characteristic of a pipeline and performing vibration control by adopting the semi-active control method; especially when the system becomes the operating mode or goes up and down power, realize pipeline damping.
The technical scheme of the invention is as follows: the utility model provides an active monitoring system of pipeline vibration, this system includes pipeline monitoring and control system, system standard sensor and vibration sensor, the vibration sensor transmits the pipeline vibration condition into pipeline monitoring and control system, system standard sensor transmits system's physical quantity data into pipeline monitoring and control system, pipeline monitoring and control system includes actuating mechanism, pipeline monitoring and control system gathers the calculation and exports control power to the pipeline through actuating mechanism with data to restrain the pipeline vibration.
The pipeline monitoring and control system further comprises a vibration monitoring system, a data analysis preprocessing system and a control decision system, wherein the vibration monitoring system is connected with the vibration sensor to calculate vibration data; the data analysis preprocessing system is connected with the system standard sensor to calculate system data; the vibration monitoring system and the data analysis preprocessing system gather calculation results to the control decision system to calculate control data; the control decision system is connected with the execution mechanism to transmit a control signal to the execution mechanism.
The vibration monitoring system comprises a data acquisition module, a limit value calculation module and a vibration evaluation module, wherein the data acquisition module transmits acquired vibration data to the vibration evaluation module through a data processing module so as to finish the acquisition and processing of the vibration data; and the vibration evaluation module collects and processes the data of the limit value calculation module and the data processing module, judges the threshold value and outputs an alarm signal when the threshold value is larger than the threshold value.
And the limit value calculation module of the vibration monitoring system calls a pipeline parameter library and a vibration evaluation method library so that the vibration evaluation module can form a threshold value.
The control decision system comprises a damping initial value matching module, a control algorithm module and a D/A output module, wherein the damping initial value matching module calculates an initial damping value according to the acquired system data; the control algorithm module is used for carrying out real-time iterative calculation on a control signal by collecting vibration data and combining an initial damping value, and outputting the control signal through the D/A output module.
And the control decision system calls a control algorithm library and a damping value library to output a real-time damping value signal.
The actuator comprises a controllable damper, the upper part of the controllable damper is connected to the pipeline through a pipe clamp and a connecting piece, and the lower part of the controllable damper is connected to the base through a support hanger.
The installation direction of the controllable damper is consistent with the vibration direction of the pipeline.
The vibration evaluation method library executes ASME standard, and adopts effective value of vibration speed to evaluate vibration, and limit value thereof
Figure BDA0003048298910000041
The calculation formula is as follows:
Figure BDA0003048298910000042
wherein: sigmaadmTo correspond to 1011Maximum allowable alternating stress of the sub-cycle, λ being the unit transformation coefficient, C1Correction factor for compensating the influence of the quality of the cross-concentration of the characteristics of the pipeline, C2K2For the stress coefficient defined in the ASME specification, C3Correction factor for taking into account the influence of fluid quality and insulation material quality, C4Correction factors for end conditions other than fixed ends and for structural forms other than straight spans, C0Is a constant.
The system further comprises an upper computer, and the upper computer is connected with the pipeline monitoring and control system to display alarm information.
A semi-active control method for pipeline vibration specifically comprises the following steps:
s1: constructing a parameter database;
s2: acquiring system parameters and pipeline parameters;
s3: calculating the evaluation of the vibration condition of the pipeline, judging whether the vibration exceeds a threshold value, and outputting a damping value;
the S3 comprises the following specific steps:
s31: summarizing and calculating the data acquired in the S2 to form the evaluation of the pipeline vibration condition;
s32: judging whether the vibration exceeds a threshold value according to the vibration condition of the pipeline, if not, ending the process, and keeping the upper computer silent; if the threshold value is exceeded, a control signal is sent to the actuating mechanism to restrain the pipeline vibration.
The control signal output by S32 is a damping value calculated in real time
Figure BDA0003048298910000051
The calculation formula is as follows:
Figure BDA0003048298910000052
wherein: cminAnd CmaxThe lower limit value and the upper limit value of the controllable shock absorber,
Figure BDA0003048298910000053
and
Figure BDA0003048298910000054
respectively, a pipeline and a supporting and hanging bracket (if any, if not, the supporting and hanging bracket is arranged on the pipeline
Figure BDA0003048298910000055
) The speed of (d); cskyAnd the optimal damping initial value is matched through a damping value library.
The invention has the following remarkable effects: according to the active monitoring system and the semi-active control method for the pipeline vibration, the control parameters can be optimized according to the system operation condition through the big data algorithm, the control system efficiency is improved, and meanwhile, the optimal damping initial value participating in the semi-active control algorithm is quickly matched, so that the system achieves the purpose of pipeline vibration reduction.
Drawings
FIG. 1 is a schematic block diagram of an active monitoring system for vibration of a pipeline according to the present invention;
FIG. 2 is a block diagram of an active monitoring system for vibration of the pipeline shown in FIG. 1;
FIG. 3 is a schematic diagram of a vibration monitoring system module in the active monitoring system for vibration of a pipeline shown in FIG. 1;
FIG. 4 is a block diagram of a control decision system in the active monitoring system for vibration of a pipeline shown in FIG. 1;
FIG. 5 is a flow chart of a semi-active control method for vibration of a pipeline according to the present invention;
in the figure: 1. a pipeline; 2. a pipe clamp; 3. a connecting member; 4. a controllable damper; 5. a support and hanger frame; 6. a base; 7. a pressure gauge; 8. a flow meter; 9. a thermometer.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
As shown in fig. 1 to 4, an active monitoring system for pipeline vibration comprises a system standard sensor, a vibration sensor, a pipeline monitoring and controlling system and an upper computer, wherein,
the pipeline monitoring and control system comprises a vibration monitoring system, a data analysis preprocessing system, a control decision system, an actuating mechanism and a plurality of databases;
vibration monitoring system and host computerThe machine is in communication connection to send out an alarm signal when the vibration exceeds the standard; the vibration monitoring system comprises a data acquisition module, a data processing module, a limit value calculation module and a vibration evaluation module; the data of the vibration sensor is sent to the data processing module through the data acquisition module so as to obtain a vibration signal, and preferably, the vibration sensor selects an ICP type three-way acceleration sensor; specifically, the data acquisition module comprises an A/D (analog/digital) amplifier and an anti-aliasing filter, and an analog signal acquired by the vibration sensor is subjected to gain amplification after the anti-aliasing filter and is converted into a digital signal; the data processing module is mainly used for carrying out time domain analysis, frequency domain analysis or digital integration and the like on the digital signals to obtain evaluation indexes of pipeline vibration; the limit value calculation module calls a pipeline parameter library and a vibration evaluation method library to calculate the pipeline vibration limit value, calls a pipeline parameter database and a vibration evaluation method library, summarizes calculation results and data of the data processing module to the vibration evaluation module, calculates summarized data and calls the vibration evaluation method library finally, and sends output signals to an upper computer; the vibration evaluation method library executes ASME standard, and adopts effective value of vibration speed to evaluate vibration, and limit value thereof
Figure BDA0003048298910000071
The calculation formula is as follows:
Figure BDA0003048298910000072
wherein: sigmaadmTo correspond to 1011Maximum allowable alternating stress of the sub-cycle, λ being the unit transformation coefficient, C1Correction factor for compensating the influence of the quality of the cross-concentration of the characteristics of the pipeline, C2K2For the stress coefficient defined in the ASME specification, C3Correction factor for taking into account the influence of fluid quality and insulation material quality, C4Correction factors for end conditions other than fixed ends and for structural forms other than straight spans, C0Is a constant.
The data analysis preprocessing system and the system standard sensorThe system standard sensors are connected through a database and comprise a flowmeter 8, a pressure gauge 7 and a thermometer 9 so as to acquire the running parameters of the pipeline system under the current working condition in real time; the system operation parameters comprise flow S, pressure P and temperature T; vibration sensor for acquiring pipeline vibration data
Figure BDA0003048298910000073
And cradle vibration data
Figure BDA0003048298910000074
The data analysis preprocessing system is mainly used for classifying and sorting the acquired data, and carrying out structuring, symbolizing, formatting and normalization processing on the data so as to meet the requirements of subsequent operations on data formats.
The data generated by the vibration monitoring system and the data analysis preprocessing system are gathered to the control decision system, when the pipeline vibration exceeds the standard, the control decision system calls the data of the control algorithm library and the damping value library and outputs a control signal to the executing mechanism, so that the executing mechanism generates a target control acting force; the damping value library provides an optimal damping initial value for calculation, a database is established according to the acquired running parameters of the pipeline system, and the optimal damping initial value C under the running working condition of the system is stored according to a specific ruleskyStoring the original damping value C of the controllable damper for the first timesy0。
The control decision system comprises a damping initial value matching module, a control algorithm and a D/A output module, data acquired by the system standard sensor is transmitted to the control algorithm module through the damping initial value matching module, meanwhile, the control algorithm module also retrieves data of the vibration monitoring module for calculation, and transmits a calculation result to the execution mechanism through the D/A output module; the calculation result comprises a damping value calculated in real time
Figure BDA0003048298910000081
The calculation formula is as follows:
Figure BDA0003048298910000082
wherein: cminAnd CmaxThe lower limit value and the upper limit value of the controllable shock absorber,
Figure BDA0003048298910000083
and
Figure BDA0003048298910000084
respectively, a pipeline and a supporting and hanging bracket (if any, if not, the supporting and hanging bracket is a supporting and hanging bracket
Figure BDA0003048298910000085
) The speed of (d); cskyAnd the optimal damping initial value is matched through a damping value library.
The actuating mechanism comprises a controllable damper 4, the upper part of the controllable damper 4 is connected to the pipeline 1 through a pipe clamp 2 and a connecting piece 3, the lower part of the controllable damper 4 is connected to a base 6 through a support hanger 5, and the installation direction of the controllable damper 4 is preferably consistent with the vibration direction of the pipeline.
As shown in fig. 5, a semi-active control method for pipeline vibration specifically includes the following steps:
s1: constructing a parameter database;
the database in the S1 comprises a pipeline parameter database, a vibration evaluation method database, a damping value database and a control algorithm database, wherein the pipeline parameter database comprises the pipeline size, the fluid in the pipeline, the additional equipment on the pipeline, the situation of a field support hanger 5 and the like; the vibration evaluation method library comprises methods specified by ASME, EDF and other standards; the damping value library comprises an initial damping value of the controllable damper and an optimal damping value obtained by calculation under each working condition; the control algorithm library comprises current classical control algorithms, preferably comprising skyhook damping control, classical PID control, fuzzy control, neural network control, iterative learning control, adaptive control, and combinatorial control algorithms.
S2: acquiring system parameters and pipeline parameters;
the system parameters in the S2 comprise a flow parameter S, a pressure parameter P and a temperature parameter T, which are respectively collected through a flowmeter 8, a pressure gauge 7 and a thermometer 9; the pipeline parameters comprise vibration data of the pipeline and the supporting and hanging bracket 5, and are acquired through a vibration sensor.
S3: calculating the evaluation of the pipeline vibration condition, judging whether the vibration exceeds a threshold value, and outputting a damping value;
s31: summarizing and calculating the data acquired in the S2 to form the evaluation of the pipeline vibration condition;
specifically, the data acquisition module comprises an A/D (analog/digital) module, an amplifier and an anti-aliasing filter, and an analog signal acquired by the vibration sensor is subjected to gain amplification after the anti-aliasing filter and is converted into a digital signal; the data processing module is mainly used for carrying out time domain analysis, frequency domain analysis or digital integration on the digital signals to obtain evaluation indexes of pipeline vibration, and the limit value calculation module calls a pipeline parameter library and a vibration evaluation method library to calculate pipeline vibration limit values.
S32: judging whether the vibration exceeds a threshold value according to the vibration condition of the pipeline, wherein the vibration evaluation mainly comprises the following steps: and evaluating vibration displacement, vibration speed and vibration alternating stress. The effective value of the vibration speed is often adopted for evaluating the pipeline of the nuclear power station, the peak value of the vibration displacement is often adopted for evaluating the vibration of the chemical pipeline, and the indexes of the vibration acceleration level, the vibration intensity and the like are often adopted for evaluating the vibration of the pipeline of the ship. If the vibration is judged not to exceed the threshold value, the process is ended, and the upper computer keeps silent; if the damping value exceeds the threshold value, a control signal is sent to an actuating mechanism to inhibit the pipeline vibration, and preferably, the control signal is a damping value calculated in real time
Figure BDA0003048298910000091
The calculation formula is as follows:
Figure BDA0003048298910000092
wherein: cminAnd CmaxThe lower limit value and the upper limit value of the controllable shock absorber,
Figure BDA0003048298910000093
and
Figure BDA0003048298910000094
respectively, a pipeline and a supporting and hanging bracket (if any, if not, the supporting and hanging bracket is arranged on the pipeline
Figure BDA0003048298910000095
) The speed of (d); cskyAnd the optimal damping initial value is matched through the damping value library.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.

Claims (13)

1. An active monitoring system for pipeline vibration, characterized in that: the system comprises a pipeline monitoring and controlling system, a system standard sensor and a vibration sensor, wherein the vibration sensor transmits the vibration condition of the pipeline into the pipeline monitoring and controlling system, the system standard sensor transmits the physical quantity data of the system into the pipeline monitoring and controlling system, the pipeline monitoring and controlling system comprises an executing mechanism, and the pipeline monitoring and controlling system calculates the data in a gathering mode and outputs control force to the pipeline through the executing mechanism so as to inhibit the vibration of the pipeline.
2. The active monitoring system of pipeline vibration of claim 1, wherein: the pipeline monitoring and control system further comprises a vibration monitoring system, a data analysis preprocessing system and a control decision system, wherein the vibration monitoring system is connected with the vibration sensor to calculate vibration data; the data analysis preprocessing system is connected with the system standard sensor to calculate system data; the vibration monitoring system and the data analysis preprocessing system gather calculation results to the control decision system to calculate control data; the control decision system is connected with the execution mechanism to transmit a control signal to the execution mechanism.
3. The active monitoring system of pipeline vibration of claim 2, wherein: the vibration monitoring system comprises a data acquisition module, a limit value calculation module and a vibration evaluation module, wherein the data acquisition module transmits acquired vibration data to the vibration evaluation module through a data processing module so as to finish the acquisition and processing of the vibration data; and the vibration evaluation module collects and processes the data of the limit value calculation module and the data processing module, judges the threshold value and outputs an alarm signal when the threshold value is larger than the threshold value.
4. The active monitoring system of pipeline vibration of claim 3, wherein: and the limit value calculation module of the vibration monitoring system calls a pipeline parameter library and a vibration evaluation method library so that the vibration evaluation module can form a threshold value.
5. The active monitoring system of pipeline vibration of claim 2, wherein: the control decision system comprises a damping initial value matching module, a control algorithm module and a D/A output module, wherein the damping initial value matching module calculates an initial damping value according to the acquired system data; the control algorithm module is used for carrying out real-time iterative calculation on a control signal by collecting vibration data and combining an initial damping value, and outputting the control signal through the D/A output module.
6. The active monitoring system of pipeline vibration of claim 2, wherein: and the control decision system calls a control algorithm library and a damping value library to output a real-time damping value signal.
7. The active monitoring system of pipeline vibration of claim 1, wherein: the actuating mechanism comprises a controllable damper (4), the upper part of the controllable damper (4) is connected to the pipeline (1) through a pipe clamp (2) and a connecting piece (3), and the lower part of the controllable damper (4) is connected to a base (6) through a supporting and hanging frame (5).
8. The active monitoring system of pipeline vibration of claim 7, wherein: the installation direction of the controllable damper (4) is consistent with the vibration direction of the pipeline.
9. The active monitoring system of pipeline vibration of claim 6, wherein: the vibration evaluation method library executes ASME standard, and adopts effective value of vibration speed to evaluate vibration, and limit value thereof
Figure FDA0003048298900000021
The calculation formula is as follows:
Figure FDA0003048298900000022
wherein: sigmaadmTo correspond to 1011Maximum allowable alternating stress of the sub-cycle, λ being the unit transformation coefficient, C1Correction factor for compensating the influence of the quality of the cross-concentration of the characteristics of the pipeline, C2K2For the stress coefficient defined in the ASME specification, C3Correction factor for taking into account the influence of fluid quality and insulation material quality, C4Correction factors for end conditions other than fixed ends and for structural forms other than straight spans, C0Is a constant.
10. The active monitoring system of pipeline vibration of claim 1, wherein: the system further comprises an upper computer, and the upper computer is connected with the pipeline monitoring and control system to display alarm information.
11. A semi-active control method for pipeline vibration is characterized in that: the method specifically comprises the following steps:
s1: constructing a parameter database;
s2: acquiring system parameters and pipeline parameters;
s3: and calculating the evaluation of the pipeline vibration condition, judging whether the vibration exceeds a threshold value, and outputting a damping value.
12. The method of claim 11 for semi-active control of vibration in a pipe, comprising: the S3 comprises the following specific steps:
s31: summarizing and calculating the data acquired in the S2 to form the evaluation of the pipeline vibration condition;
s32: judging whether the vibration exceeds a threshold value or not according to the vibration condition of the pipeline, if not, ending the process, and keeping the upper computer silent; if the threshold value is exceeded, a control signal is sent to the actuating mechanism to restrain the pipeline vibration.
13. The method of claim 11, wherein the method comprises: the control signal output by S32 is a damping value calculated in real time
Figure FDA0003048298900000031
The calculation formula is as follows:
Figure FDA0003048298900000032
wherein: cminAnd CmaxThe lower limit value and the upper limit value of the controllable shock absorber,
Figure FDA0003048298900000033
and
Figure FDA0003048298900000034
respectively, a pipeline and a supporting and hanging bracket (if any, if not, the supporting and hanging bracket is arranged on the pipeline
Figure FDA0003048298900000035
) The speed of (d); cskyAnd the optimal damping initial value is matched through a damping value library.
CN202110478672.3A 2021-04-30 2021-04-30 Active monitoring system and semi-active control method for pipeline vibration Pending CN115264221A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116069078A (en) * 2023-01-16 2023-05-05 歌尔股份有限公司 Control method and device of VR/AR audio vibration damper and electronic equipment thereof
CN116608419A (en) * 2023-07-20 2023-08-18 山东特检科技有限公司 Pipeline fatigue failure risk assessment method combined with vibration monitoring
CN116902800A (en) * 2023-07-20 2023-10-20 中国科学院空间应用工程与技术中心 Active control system and method for pipeline support and hanger and global cooperative system
CN117531239A (en) * 2024-01-10 2024-02-09 蓝炬生物技术(杭州)有限公司 Bioactive substance extraction control method and system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116069078A (en) * 2023-01-16 2023-05-05 歌尔股份有限公司 Control method and device of VR/AR audio vibration damper and electronic equipment thereof
CN116608419A (en) * 2023-07-20 2023-08-18 山东特检科技有限公司 Pipeline fatigue failure risk assessment method combined with vibration monitoring
CN116902800A (en) * 2023-07-20 2023-10-20 中国科学院空间应用工程与技术中心 Active control system and method for pipeline support and hanger and global cooperative system
CN116608419B (en) * 2023-07-20 2023-11-03 山东特检科技有限公司 Pipeline fatigue failure risk assessment method combined with vibration monitoring
CN117531239A (en) * 2024-01-10 2024-02-09 蓝炬生物技术(杭州)有限公司 Bioactive substance extraction control method and system

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