WO2020024334A1 - Système de réponse au bruit de vibration intelligent et procédé de réponse au bruit de vibration intelligent - Google Patents

Système de réponse au bruit de vibration intelligent et procédé de réponse au bruit de vibration intelligent Download PDF

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Publication number
WO2020024334A1
WO2020024334A1 PCT/CN2018/100756 CN2018100756W WO2020024334A1 WO 2020024334 A1 WO2020024334 A1 WO 2020024334A1 CN 2018100756 W CN2018100756 W CN 2018100756W WO 2020024334 A1 WO2020024334 A1 WO 2020024334A1
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vibration
noise
control
software
active
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PCT/CN2018/100756
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English (en)
Chinese (zh)
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王国辉
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中科振声（苏州）电子科技有限公司
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Publication of WO2020024334A1 publication Critical patent/WO2020024334A1/fr

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    • 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
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output

Definitions

  • the invention relates to the field of vibration and noise, in particular to an intelligent response system for vibration and noise and an intelligent response method for vibration and noise.
  • Noise and vibration are often unfavorable factors for precision instruments, cutting-edge manufacturing, transportation, environmental protection, and human factors engineering. They involve all aspects of modern industrial society and have a harmful effect. For large and complex structures, the vibration and noise conditions are complex and should not be controlled. How to comprehensively solve the problem is recognized in the industry.
  • the structure is large and complicated, and the vibration and noise problems are everywhere in the vehicle, such as air-conditioning pipe system noise, cab noise, pantograph vibration loss, walking mechanism vibration loss and noise, inverter howling noise Wait.
  • These vibration and noise problems will not only affect the passengers and passengers, reduce the comfort of passenger travel, interfere with the driver's attention and reduce work efficiency, but also cause damage to the vehicle structure, affect operational safety and increase maintenance costs.
  • Low noise performance has become an important aspect of the advanced nature of China's high-speed rail technology.
  • the invention provides an intelligent response system for vibration and noise, and an intelligent response method for vibration and noise. It provides a comprehensive and intelligent solution to the complex vibration and noise problems of large and complex structures in an artificial intelligence manner, and improves the vibration and noise response to people. Interference with the environment, reduce equipment wear and tear caused by vibration and noise, and reduce the economic loss of offline fault diagnosis.
  • the technical solution of the present invention is:
  • An intelligent response system for vibration noise includes a hardware part and a software part, wherein the hardware part includes a control center, a distributed sensor network, an execution mechanism, and a display unit, and the software part includes a central control software, a fault diagnosis software, an active Vibration and noise control software and multi-channel digital signal synchronous acquisition software.
  • the control center includes an arithmetic control unit and a DSP-based control and processing unit.
  • the distributed sensor network is composed of multiple vibration sensors and / or noise sensors, and multiple multi-channel data acquisition nodes, and the vibration sensors and / or noise sensors are distributed in large and complex structures (that is, the objects served by the present invention).
  • the vibration sensors and / or noise sensors adjacent to each part are connected to the same multi-channel data acquisition node, and all the multi-channel data acquisition nodes are connected to the DSP-based control and processing unit.
  • the actuator includes a plurality of secondary sound sources and / or secondary vibration sources.
  • the control center performs central control, real-time monitoring of vibration and noise signals of various parts of large and complex structures through the distributed sensor network, and analysis and processing by the control center's active vibration and noise control software to form control signals that are fed back to the actuator. Active control.
  • the fault diagnosis software of the control center analyzes the global vibration and noise signals in real time to obtain fault information.
  • the control center presents the global vibration and noise distribution, active control effects, and fault information on the display unit.
  • the central control software is built into the operation control unit, controls communication, data flow and data storage between the operation control unit and the DSP-based control and processing unit and the display unit, and controls the fault Input and output data between diagnostic software, the active vibration and noise control software, and the multi-channel digital signal synchronous acquisition software.
  • the fault diagnosis software is built into the operation control unit and includes algorithms such as spectrum peak search, spectrum analysis, threshold judgment, and pattern recognition, and performs real-time analysis and processing on global vibration and noise signals uploaded by the DSP-based control and processing unit, A fault diagnosis function is implemented, and the result is fed back to the central control software.
  • the active vibration and noise control software is built into the DSP-based control and processing unit, and has functions such as channel identification, parameter configuration, frequency tracking, signal generation, control linkage, communication, and failure alarm, etc., for synchronizing the multi-channel digital signals
  • the real-time vibration noise signal transmitted by the acquisition software generates an active control signal that can reverse the original vibration noise, and then sends it to the actuator to implement active control of vibration noise and feedback the control effect to the central control software.
  • the multi-channel digital signal synchronous acquisition software is built into the DSP-based control and processing unit, and has functions such as multi-channel networked digital signal clock synchronization, transmission, storage, and control, etc., for each of the multi-channel data acquisition nodes. Control, transmitting the vibration noise signal collected by the distributed sensor network to the central control software and the active vibration noise control software.
  • the hardware part of the DSP-based control and processing unit is composed of a DSP chip and peripheral circuits such as ARM and FPGA, including a digital signal central processing module, a multi-channel AD / DA module, a multi-channel digital signal input / output module, Hardware modules such as digital signal storage and communication modules.
  • the vibration and noise signals collected by the distributed sensor network are input by a multi-channel digital signal input / output module, and after being analyzed and processed by the digital signal central processing module, they are sent to a multi-channel AD / DA module or digital signal storage and storage according to different task requirements.
  • Communication module is used to communicated.
  • the DSP chip uses a multi-core fixed-point and floating-point digital signal processor of TI company model TMS320C6678, and the peripheral circuit uses an FPGA chip of Xilinx company model XC6SLX16-2CSG324 as a core chip.
  • the secondary sound source uses a sound source of an energy conversion structure such as an electromagnetic type and / or a piezoelectric type
  • the secondary vibration source uses a vibration source of a energy conversion structure such as an electromagnetic type and / or a piezoelectric type.
  • the secondary vibration source adopts an active-passive composite structure combining electromagnetic energy conversion and hydraulic suspension.
  • the invention also provides an intelligent response method for vibration noise, which is suitable for complex vibration noise problems of large and complex structures, and includes the following steps:
  • Step A The multi-channel digital signal synchronous acquisition software of the control center controls the vibration and noise sensor network distributed in large and complex structures to perform real-time global vibration and noise signal collection.
  • the global vibration and noise signal is transmitted to the control after clock synchronization and analog-to-digital conversion. center;
  • Step B The fault diagnosis software of the control center analyzes and processes according to the global vibration noise signal, determines the abnormal position of the vibration noise signal, and analyzes the fault information such as the type and degree of the fault through a pattern recognition algorithm and presents it through the display unit;
  • Step C The active vibration and noise control software of the control center analyzes the excessive parts of the vibration noise according to the global vibration noise signal, and performs channel identification, frequency tracking, adaptive calculation, signal generation and other operations on the excessive vibration noise signal to form an active control signal. Then send the active control signal to the actuator of the vibration and noise exceeding the standard, and output the active control signal that can reverse the original vibration noise in reverse, to realize the active control of vibration and noise, and feedback the control effect to the control center and display unit.
  • the compensation method of the clock frequency offset is used to solve the frequency compensation problem, change the safety and cost problems caused by relying on the global satellite positioning system and the precision clock source, so as to realize the global vibration noise signal Clock synchronization.
  • step B the frequency domain characteristic parameters and kernel function parameters that are sensitive to the degree of equipment failure are optimized and selected through experimental analysis.
  • the data samples of different degrees of failure of the equipment are separately trained to obtain corresponding independent closed ultra-high-level descriptions of the degree of equipment failure.
  • Sphere and introduce the relative distance between the sample point to be measured and the center of each hypersphere to determine the degree of failure to which the sample belongs. Based on this, an acoustic failure assessment model of the equipment is established to diagnose the degree of failure.
  • the vibration and noise intelligent response system according to the present invention provides a comprehensive and intelligent solution to the complex vibration and noise problems of large complex structures in an artificial intelligence manner, and improves vibration
  • the interference of noise on people and the environment reduces equipment wear caused by vibration and noise, and reduces the economic loss of offline fault diagnosis.
  • FIG. 1 is a schematic diagram of a hardware structure of the present invention
  • FIG. 2 is a schematic diagram of a software structure of the present invention.
  • FIG. 3 is a schematic structural diagram of a high-speed train vibration and noise intelligent response system according to a specific embodiment of the present invention.
  • a vibration and noise intelligent response system includes a hardware part and a software part.
  • the hardware part includes a control center 1, a distributed sensor network 2, an execution mechanism 3, and a display unit 4.
  • the software part includes a central control software 13, a fault diagnosis software 14, an active vibration and noise control software 15, and a multi-channel digital signal synchronization acquisition software 16.
  • the control center includes an arithmetic control unit 11 and a DSP-based control and processing unit 12.
  • the distributed sensor network includes a plurality of vibration sensors 21 and / or noise sensors 22, and a plurality of multi-channel data acquisition nodes 23.
  • the vibration sensors 21 and / or noise sensors 22 are distributed in a large and complex structure (i.e., the present invention (Served objects), the vibration sensors 21 and / or noise sensors 22 adjacent to each other are connected to the same multi-channel data acquisition node 23, and all the multi-channel data acquisition nodes 23 and the DSP-based control And the processing unit 12 is connected.
  • the actuator includes a plurality of secondary sound sources 31 and / or secondary vibration sources 32, and further includes an amplifier 33 matching the secondary sound sources 31 and / or the secondary vibration sources 32.
  • the secondary sound source 31 is a sound source of a transducing structure such as an electromagnetic type and / or a piezoelectric type, such as a speaker and an actuator.
  • the secondary vibration source 32 uses a vibration source such as an electromagnetic type and / or a piezoelectric type, such as a speaker and an actuator.
  • the secondary vibration source 32 adopts an active-passive composite structure combining electromagnetic energy conversion and hydraulic suspension.
  • a Chinese patent CN201621040934.9 applied for an electromagnetic active-passive integrated isolation unit applied on September 7, 2016 is used.
  • the control center 1 performs central control, and monitors the vibration and noise signals of various parts of large and complex structures in real time through the distributed sensor network 2.
  • the active vibration and noise control software 15 of the control center 1 performs analysis and processing to form control signal feedback.
  • the fault diagnosis software 14 of the control center 1 analyzes global vibration noise signals in real time to obtain fault information.
  • the control center 1 analyzes global vibration noise distribution, active control effects, and The fault information is presented on the display unit 4.
  • the hardware part of the DSP-based control and processing unit 12 is composed of a DSP chip and peripheral circuits such as ARM and FPGA, and includes a digital signal central processing module, a multi-channel AD / DA module, and a multi-channel digital signal input. / Output modules, digital signal storage and communication modules and other hardware modules.
  • the vibration and noise signals collected by the distributed sensor network 2 are input by a multi-channel digital signal input / output module, and after being analyzed and processed by the digital signal central processing module, they are sent to a multi-channel AD / DA module or digital signal storage according to different task requirements. And communication module.
  • the DSP chip uses a multi-core fixed-point and floating-point digital signal processor of TI company model TMS320C6678, and the peripheral circuit uses an FPGA chip of Xilinx company model XC6SLX16-2CSG324 as a core chip.
  • the central control software 13 is built in the arithmetic control unit 11 and controls communication, data flow and data storage between the arithmetic control unit 11 and the DSP-based control and processing unit 12 and the display unit 4, And control input and output data between the fault diagnosis software 14, the active vibration and noise control software 15, and the multi-channel digital signal synchronous acquisition software 16.
  • the fault diagnosis software 14 is built into the operation control unit 11 and includes algorithms such as spectrum peak search, spectrum analysis, threshold judgment, and pattern recognition, and performs real-time processing on the global vibration and noise signals uploaded by the DSP-based control and processing unit 12 Analyze and process, realize the fault diagnosis function, and feed back the result to the central control software 13.
  • the active vibration and noise control software 15 is built into the DSP-based control and processing unit 12 and has functions such as channel identification, parameter configuration, frequency tracking, signal generation, control linkage, communication, and failure alarm.
  • the real-time vibration noise signal transmitted by the signal synchronization acquisition software 16 generates an active control signal that can reverse the original vibration noise, and then sends it to the actuator 3 to implement active control of vibration noise and feedback the control effect to the central control.
  • Software 13 The multi-channel digital signal synchronization acquisition software 16 is built into the DSP-based control and processing unit 12 and has functions such as clock synchronization, transmission, storage, and control of multi-channel networked digital signals, and acquires data for each of the multi-channels.
  • the node 23 performs control, and transmits the vibration and noise signals collected by the distributed sensor network 2 to the central control software 13 and the active vibration and noise control software 15.
  • the vibration and noise intelligent response method of the vibration and noise intelligent response system is suitable for complex vibration noise problems of large complex structures, and includes the following steps:
  • Step A The multi-channel digital signal synchronization acquisition software 16 of the control center 1 controls the vibration and noise sensor network distributed in large and complex structures to perform real-time global vibration and noise signal collection, and the global vibration and noise signals are synchronized by clock and analog-to-digital conversion. After transmitting to the control center 1.
  • Step B The fault diagnosis software 14 of the control center 1 performs analysis and processing according to the global vibration noise signal, determines the abnormal position of the vibration noise signal, and analyzes the fault information such as the type and degree of the fault through algorithms such as pattern recognition.
  • the display unit 4 is presented.
  • Step C The active vibration and noise control software 15 of the control center 1 analyzes the excessive vibration noise parts according to the global vibration noise signal, and performs operations such as channel identification, frequency tracking, adaptive calculation, and signal generation on the excessive vibration noise signals to form Active control signal, and then send the active control signal to the actuator 3 where the vibration and noise exceeds the standard, and output an active control signal that can reverse the original vibration and noise to achieve the active control of vibration and noise, and feedback the control effect to the control center 1 And the display unit 4.
  • step A the method of calculating compensation of clock frequency offset is used to solve the problem of frequency compensation, and change the safety and cost problems caused by relying on global satellite positioning system and high-precision clock source, thereby realizing clock synchronization of global vibration noise signals. .
  • step B the frequency domain characteristic parameters and kernel function parameters that are sensitive to the degree of equipment failure are optimized and selected through experimental analysis.
  • the data samples of different degrees of failure of the equipment are separately trained to obtain corresponding independent closed ultra-high-level descriptions of the degree of equipment failure.
  • Sphere and introduce the relative distance between the sample point to be measured and the center of each hypersphere to determine the degree of failure to which the sample belongs. Based on this, an acoustic failure assessment model of the equipment is established to diagnose the degree of failure.
  • the control center 1 realizes intelligent control. The entire process from vibration and noise data monitoring and collection to active control and status evaluation runs automatically. Adaptive algorithms are used for active control and pattern recognition. The algorithm performs state assessment. The system uses artificial intelligence to provide a comprehensive and intelligent response to the complex vibration and noise problems of large and complex structures, improves the interference of vibration noise on people and the environment, and reduces the impact of vibration noise. Equipment wear and tear, reducing the economic loss of offline fault diagnosis.
  • FIG. 3 an application of an intelligent response system for vibration and noise on high-speed trains.
  • the vibration and noise are collected by a distributed sensor network 2 spreading over high-speed rail vehicles (driver's cab, passenger compartment, walking mechanism, air conditioning system, power system, etc.)
  • the signals are transmitted back to the control center 1 for storage and visualization;
  • the central control software 13 of the control center 1 transmits vibration noise signals to active vibration noise control software 15 and fault diagnosis software 14;
  • active vibration noise control software 15 forms a control signal through an adaptive algorithm and sends it back to the central control software 13.
  • the central control software 13 sends the control signal to the actuator 3 to generate an offset signal to achieve active control;
  • the fault diagnosis software 14 uses spectrum analysis, spectrum
  • the diagnostic algorithms such as peak search, threshold judgment, and pattern recognition perform analysis and return the analysis result to the central control software 13, and the control center 1 displays and outputs the analysis result.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

L'invention concerne un système de réponse au bruit de vibration intelligent et un procédé de réponse au bruit de vibration intelligent. Dans le système de réponse au bruit de vibration intelligent, un centre de commande (1) effectue une commande centrale et surveille des signaux de bruit de vibration de diverses parties d'un grand corps de structure complexe en temps réel au moyen d'un réseau de capteurs distribué (2) ; les signaux de bruit de vibration sont analysés et traités au moyen d'un logiciel de commande de bruit de vibration active (15) du centre de commande (1), de manière à former un signal de commande à renvoyer à un mécanisme d'exécution (3) pour une commande active ; en outre, un logiciel de diagnostic de défaillance (14) du centre de commande (1) réalise une analyse en temps réel sur des signaux de bruit de vibration globaux afin d'obtenir un résultat de diagnostic de défaillance ; et enfin le centre de commande (1) affiche la distribution de bruit de vibration globale, l'effet de commande actif et le résultat de diagnostic de défaillance sur une unité d'affichage (4). Selon le système de réponse au bruit de vibration intelligent, l'interférence des bruits de vibration vers les êtres humains et les environnements est améliorée, l'usure du dispositif résultant des bruits de vibration est réduite, la perte économique de diagnostic de défaillance hors ligne est réduite et l'avancement technique d'industries de fabrication avancées telles que les chemins de fer à grande vitesse et les grands avions est amélioré.
PCT/CN2018/100756 2018-08-01 2018-08-16 Système de réponse au bruit de vibration intelligent et procédé de réponse au bruit de vibration intelligent WO2020024334A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111596602A (zh) * 2020-05-14 2020-08-28 北京工业大学 一种多自由度人因工程振动平台远程智能监控系统

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110376984A (zh) * 2019-07-15 2019-10-25 中国船舶科学研究中心（中国船舶重工集团公司第七0二研究所） 自适应振动噪声控制管理系统
CN110986264B (zh) * 2019-11-21 2020-11-24 珠海格力电器股份有限公司 一种空调低频共振噪声识别控制方法及空调
CN112540586B (zh) * 2020-12-07 2022-02-15 青岛理工大学 一种基于星型网络的分布式声振主动控制系统
CN114167842B (zh) * 2021-12-08 2023-06-09 中国船舶科学研究中心 一种基于振动主动控制系统的故障预测与健康管理方法
CN114279557B (zh) * 2022-03-02 2022-05-17 山东卓朗检测股份有限公司 一种分布式声学检测设备及其检测方法
CN114942040B (zh) * 2022-03-21 2023-08-01 重庆医科大学附属第二医院 一种用于医院内的噪声采集及管理系统

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101293529A (zh) * 2007-04-29 2008-10-29 余亚莉 车载式轨道交通客流运能及运行安全智能监控和预警系统
EP2378513A1 (fr) * 2010-04-08 2011-10-19 Helmut-Schmidt-Universität Procédé et système de réduction de bruit active
WO2016083513A1 (fr) * 2014-11-28 2016-06-02 Helmut-Schmidt-Universität Procédé et système de suppression active de son
CN106094654A (zh) * 2016-08-16 2016-11-09 武汉大学 一种基于扰动观测法的电力变压器有源噪声控制系统
CN106328117A (zh) * 2015-06-30 2017-01-11 芋头科技（杭州）有限公司 一种有源噪声控制系统
CN106662483A (zh) * 2014-08-18 2017-05-10 光学感应器控股有限公司 铁轨轮组中的异常检测
CN107768119A (zh) * 2017-11-01 2018-03-06 国网山西省电力公司电力科学研究院 一种特高压电力变压器有源降噪系统

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106158301A (zh) * 2015-04-10 2016-11-23 刘会灯 配电变压器运行噪声有源降噪系统
CN105137238A (zh) * 2015-08-27 2015-12-09 刘利强 一种气体绝缘组合电器故障诊断系统
CN105449934A (zh) * 2015-11-23 2016-03-30 珠海格力电器股份有限公司 电机降噪系统和降噪方法、吸油烟机
CN105679305B (zh) * 2016-01-29 2019-10-18 南京大学 数字多通道有源噪声控制系统
CN108156555B (zh) * 2016-12-02 2020-05-05 中车株洲电力机车研究所有限公司 一种列车主动降噪系统及方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101293529A (zh) * 2007-04-29 2008-10-29 余亚莉 车载式轨道交通客流运能及运行安全智能监控和预警系统
EP2378513A1 (fr) * 2010-04-08 2011-10-19 Helmut-Schmidt-Universität Procédé et système de réduction de bruit active
CN106662483A (zh) * 2014-08-18 2017-05-10 光学感应器控股有限公司 铁轨轮组中的异常检测
WO2016083513A1 (fr) * 2014-11-28 2016-06-02 Helmut-Schmidt-Universität Procédé et système de suppression active de son
CN106328117A (zh) * 2015-06-30 2017-01-11 芋头科技（杭州）有限公司 一种有源噪声控制系统
CN106094654A (zh) * 2016-08-16 2016-11-09 武汉大学 一种基于扰动观测法的电力变压器有源噪声控制系统
CN107768119A (zh) * 2017-11-01 2018-03-06 国网山西省电力公司电力科学研究院 一种特高压电力变压器有源降噪系统

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111596602A (zh) * 2020-05-14 2020-08-28 北京工业大学 一种多自由度人因工程振动平台远程智能监控系统

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