EP1344197B1 - Verfahren und anordnung zur bestimmung eines geräuschsignals einer geräuschquelle - Google Patents
Verfahren und anordnung zur bestimmung eines geräuschsignals einer geräuschquelle Download PDFInfo
- Publication number
- EP1344197B1 EP1344197B1 EP01272004A EP01272004A EP1344197B1 EP 1344197 B1 EP1344197 B1 EP 1344197B1 EP 01272004 A EP01272004 A EP 01272004A EP 01272004 A EP01272004 A EP 01272004A EP 1344197 B1 EP1344197 B1 EP 1344197B1
- Authority
- EP
- European Patent Office
- Prior art keywords
- noise
- signal
- noise signal
- source
- noise source
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
Definitions
- the object of the invention is therefore to provide a method for the determination indicate a noise signal of a noise source at the most simple and safe from the noise source detected noise emission or noise emission detected and is determined.
- one is to carry out the Specify method particularly suitable arrangement.
- this is associated with a type of noise source Noise signal for control and / or regulation and / or information / warning used by noise reducing systems.
- the detected and possibly on the basis of detected external parameters corrected noise signals to an external system Control and / or regulation e.g. for noise-reducing load control a vehicle or emergency control of an object in case of identified functional, material or operating errors, fed.
- the external system for Control and / or regulation, information and / or warning are the external system for Control and / or regulation, information and / or warning, in particular the noise reduction in traffic, for example by influencing traffic management.
- Does it come to an increased traffic and thus to a very high noise level in road traffic e.g.
- the second object is achieved by a Arrangement for determining a noise signal of a noise source with a sound detection system for detection the noise signal and a data processing unit for Analysis of the noise signal based on signal properties and for comparing the noise signal with noise patterns, wherein Based on the comparison, the noise signal a noise source type is assigned.
- a sound detection system a plurality of noise sensors provided. Prefers is a network of noise sensors, e.g. of directional Noise sensors, distributed along driveways within localities or distributed in a manufacturing or Machine hall arranged. For areal coverage the noise signal, especially in noise critical areas, e.g.
- a data memory for depositing the noise signal intended.
- the datastore stores the values of the Sound signal chronologically, for example in the form of tables deposited and thus archived.
- the functionality of the data processing unit serve the chronologically stored noise level of the noise signal Analyzes and statistics, in particular on noise statistics. For example can use the stored data representations for temporal and / or local behavior of noises and Noise sources and noise emission display output become.
- Figure 1 shows schematically an arrangement 1 for determining a Noise signal S with a sound detection system 4 for detection of the noise signal S and with a data processing unit 6 for analyzing the noise signal S based on signal properties and to compare the noise signal S with noise patterns M. Based on the comparison, the noise signal S associated with a noise source type T.
- the correction unit 16 is detected by the optical detection system 8 or another external, not shown Systems, e.g. a tracking or navigation system that instantaneous position P of the noise source 10 is supplied. Based the information about the current position P becomes the sound signal S affecting conditions, e.g. absorption and Reflection conditions, in the immediate vicinity of the noise source 10 determined. The relevant absorption and Reflection ratios are used in the determination of the noise signal S considered.
- the noise source type T includes the data processing unit 6 a database 22 with a plurality of noise patterns M. Depending on the nature and extent of the database 22 are different noise patterns M for the noise signal S of the relevant noise source type T deposited. For one thing these noise patterns M of the noise signal S influencing Factors, e.g. from meteorological data W, from transient Absorption and reflection ratios in the environment, the caused by the movement of the noise source 10, adjusted be. On the other hand, the noise pattern M without correction to compare the currently detected and not corrected Noise signal S be deposited with these.
- the data processing unit 6 includes a comparison unit 24.
- the relevant noise signal S is the associated Sound source type T assigned.
- An example becomes in a vehicle as a noise source 10 by means of the detection unit 20 the vehicle model, e.g. the C-Class from Mercedes-Benz, and by means of the comparison unit 24 on the basis of Compare the engine of the identified vehicle model and hence the noise source type T, e.g. the CDI engine from Mercedes-Benz, identified and the noise signal S. assigned.
- the means of the arrangement 1 detected data, such as the noise signal S, the corrected noise signal S, the meteorological data W, the noise source type T, the image B, an external control and / or control system, e.g. a load control system a vehicle for noise-reducing driving, a traffic control system for noise-reduced traffic management or a Control and / or regulating system or alarm system of a rotating Machine in a production hall, fed.
- a load control system e.g. a vehicle for noise-reducing driving, a traffic control system for noise-reduced traffic management or a Control and / or regulating system or alarm system of a rotating Machine in a production hall, fed.
- Figure 2 shows schematically the arrangement 1 according to Figure 1, which is arranged along a roadway 26.
- the sound detection system 4 includes a plurality of along the lane 26 arranged noise sensors 28. serve as noise sensors 28 for example direction sensitive microphones.
- the noise sensors 28 are connected to the central data processing unit 6 by means of a data transmission unit 30, e.g. one Data bus or a wireless connection connected.
- a data transmission unit 30 e.g. one Data bus or a wireless connection connected.
- the optical detection system 8 is arranged below a bridge 32.
- the optical detection system 8, e.g. a video camera, is via the data transmission unit 30 with the central data processing unit 6 connected.
- the speed v of the vehicle 10th e.g. by means of an induction loop system, not shown be determined in the lane 26. Because of the relationship the detected frequencies of the noise signals S to the driven Speed v is a discrete selection criterion generated, which together with the z. B. detected by video analysis Vehicle type information and the known gear ratios the vehicles in circulation have a clear Determination of vehicle engine and consequently of Sound source type T allows.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE10064754A DE10064754A1 (de) | 2000-12-22 | 2000-12-22 | Verfahren und Anordnung zur Bestimmung eines Geräuschsignals einer Geräuschquelle |
DE10064754 | 2000-12-22 | ||
PCT/EP2001/014622 WO2002052542A2 (de) | 2000-12-22 | 2001-12-12 | Verfahren und anordnung zur bestimmung eines geräuschsignals einer geräuschquelle |
Publications (2)
Publication Number | Publication Date |
---|---|
EP1344197A2 EP1344197A2 (de) | 2003-09-17 |
EP1344197B1 true EP1344197B1 (de) | 2005-03-02 |
Family
ID=7668794
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP01272004A Expired - Lifetime EP1344197B1 (de) | 2000-12-22 | 2001-12-12 | Verfahren und anordnung zur bestimmung eines geräuschsignals einer geräuschquelle |
Country Status (8)
Country | Link |
---|---|
US (1) | US20050100172A1 (pt) |
EP (1) | EP1344197B1 (pt) |
JP (1) | JP2004531695A (pt) |
BR (1) | BR0116791A (pt) |
DE (2) | DE10064754A1 (pt) |
ES (1) | ES2236136T3 (pt) |
MX (1) | MXPA03005619A (pt) |
WO (1) | WO2002052542A2 (pt) |
Families Citing this family (50)
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DE10320809A1 (de) * | 2003-05-08 | 2004-11-25 | Conti Temic Microelectronic Gmbh | Verfahren zur Erkennung und Überwachung der Bewegung bei Fahrzeugen |
DE102004006848A1 (de) * | 2004-02-12 | 2005-09-01 | Deere & Company, Moline | Verfahren und Überwachungssystem zur Überwachung des Zustands von Arbeitsmaschinen |
JP4248458B2 (ja) * | 2004-07-29 | 2009-04-02 | 日東紡音響エンジニアリング株式会社 | 音圧測定方法 |
US7071841B2 (en) * | 2004-08-19 | 2006-07-04 | Ut-Battelle, Llc | Truck acoustic data analyzer system |
US7377233B2 (en) * | 2005-01-11 | 2008-05-27 | Pariff Llc | Method and apparatus for the automatic identification of birds by their vocalizations |
US20070256499A1 (en) * | 2006-04-21 | 2007-11-08 | Pelecanos Jason W | Machine and operating environment diagnostics, detection and profiling using sound |
US20070297620A1 (en) * | 2006-06-27 | 2007-12-27 | Choy Daniel S J | Methods and Systems for Producing a Zone of Reduced Background Noise |
US8111174B2 (en) * | 2007-10-03 | 2012-02-07 | University Of Southern California | Acoustic signature recognition of running vehicles using spectro-temporal dynamic neural network |
JP4640463B2 (ja) * | 2008-07-11 | 2011-03-02 | ソニー株式会社 | 再生装置、表示方法および表示プログラム |
JP2010044031A (ja) * | 2008-07-15 | 2010-02-25 | Nittobo Acoustic Engineering Co Ltd | 航空機の識別方法、並びにそれを用いた航空機騒音の測定方法及び信号判定方法 |
US8983677B2 (en) * | 2008-10-01 | 2015-03-17 | Honeywell International Inc. | Acoustic fingerprinting of mechanical devices |
US20100082180A1 (en) * | 2008-10-01 | 2010-04-01 | Honeywell International Inc. | Errant vehicle countermeasures |
JP2011232293A (ja) * | 2010-04-30 | 2011-11-17 | Toyota Motor Corp | 車外音検出装置 |
US8542844B2 (en) * | 2011-04-07 | 2013-09-24 | Visteon Global Technologies, Inc. | Sound modification system and method |
US9357293B2 (en) * | 2012-05-16 | 2016-05-31 | Siemens Aktiengesellschaft | Methods and systems for Doppler recognition aided method (DREAM) for source localization and separation |
KR101471614B1 (ko) * | 2013-06-05 | 2014-12-11 | 김도연 | 소음 차폐 방법 및 장치 |
US9148739B1 (en) * | 2014-03-24 | 2015-09-29 | King Fahd University Of Petroleum And Minerals | System for detecting vehicle noise and method |
DE102014110022A1 (de) | 2014-07-17 | 2016-01-21 | Miele & Cie. Kg | Verfahren und Vorrichtung zum Überwachen einer Funktion eines Haushaltsgeräts, Mobilgerät und Haushaltsgeräteüberwachungssystem |
JP6519653B2 (ja) * | 2015-05-29 | 2019-05-29 | 東芝三菱電機産業システム株式会社 | ノイズ源分析方法 |
WO2017070301A1 (en) * | 2015-10-20 | 2017-04-27 | International Electronic Machines Corp. | Operations monitoring for effect mitigation |
BR112018070565A2 (pt) | 2016-04-07 | 2019-02-12 | Bp Exploration Operating Company Limited | detecção de eventos de fundo de poço usando características de domínio da frequência acústicas |
US11199084B2 (en) | 2016-04-07 | 2021-12-14 | Bp Exploration Operating Company Limited | Detecting downhole events using acoustic frequency domain features |
US10983507B2 (en) | 2016-05-09 | 2021-04-20 | Strong Force Iot Portfolio 2016, Llc | Method for data collection and frequency analysis with self-organization functionality |
KR102255270B1 (ko) | 2016-05-09 | 2021-05-25 | 스트롱 포스 아이오티 포트폴리오 2016, 엘엘씨 | 산업용 사물 인터넷을 위한 방법들 및 시스템들 |
US11327475B2 (en) | 2016-05-09 | 2022-05-10 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for intelligent collection and analysis of vehicle data |
US10712738B2 (en) | 2016-05-09 | 2020-07-14 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for industrial internet of things data collection for vibration sensitive equipment |
US11774944B2 (en) | 2016-05-09 | 2023-10-03 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for the industrial internet of things |
US11237546B2 (en) | 2016-06-15 | 2022-02-01 | Strong Force loT Portfolio 2016, LLC | Method and system of modifying a data collection trajectory for vehicles |
US10353060B2 (en) * | 2016-12-07 | 2019-07-16 | Raytheon Bbn Technologies Corp. | Detection and signal isolation of individual vehicle signatures |
CA3058256C (en) | 2017-03-31 | 2023-09-12 | Bp Exploration Operating Company Limited | Well and overburden monitoring using distributed acoustic sensors |
ES2950232T3 (es) | 2017-05-16 | 2023-10-06 | Signify Holding Bv | Monitoreo de flujo de ruido y localización de sonido mediante iluminación inteligente |
US11131989B2 (en) | 2017-08-02 | 2021-09-28 | Strong Force Iot Portfolio 2016, Llc | Systems and methods for data collection including pattern recognition |
KR20200037816A (ko) | 2017-08-02 | 2020-04-09 | 스트롱 포스 아이오티 포트폴리오 2016, 엘엘씨 | 대규모 데이터 세트들을 갖는 산업 사물 인터넷 데이터 수집 환경에서의 검출을 위한 방법들 및 시스템들 |
WO2019038401A1 (en) | 2017-08-23 | 2019-02-28 | Bp Exploration Operating Company Limited | DETECTION OF SAND INPUT LOCATIONS AT THE BOTTOM OF A HOLE |
EP3695099A2 (en) | 2017-10-11 | 2020-08-19 | BP Exploration Operating Company Limited | Detecting events using acoustic frequency domain features |
DE102018204156A1 (de) * | 2018-03-19 | 2019-09-19 | Robert Bosch Gmbh | Verfahren zum Vermindern von Geräuschemissionen von Schienenfahrzeugen |
AU2019386279A1 (en) | 2018-11-29 | 2021-06-17 | Bp Exploration Operating Company Limited | Event detection using DAS features with machine learning |
GB201820331D0 (en) | 2018-12-13 | 2019-01-30 | Bp Exploration Operating Co Ltd | Distributed acoustic sensing autocalibration |
DE102019205011A1 (de) * | 2019-04-08 | 2020-10-08 | Zf Friedrichshafen Ag | Verarbeitungseinheit, Fahrerassistenzsystem und Verfahren zur Geräuscherkennung von Umfeldgeräuschen |
DE102019110125A1 (de) * | 2019-04-17 | 2020-10-22 | Friedrich Boysen Gmbh & Co. Kg | Verfahren zur modellbasierten Berechnung der zu erwartenden Geräuschimmission durch einen längs einer Bewegungsstrecke selbstangetrieben bewegten Gegenstand |
WO2021073740A1 (en) | 2019-10-17 | 2021-04-22 | Lytt Limited | Inflow detection using dts features |
WO2021073741A1 (en) | 2019-10-17 | 2021-04-22 | Lytt Limited | Fluid inflow characterization using hybrid das/dts measurements |
WO2021093974A1 (en) | 2019-11-15 | 2021-05-20 | Lytt Limited | Systems and methods for draw down improvements across wellbores |
CN110954208A (zh) * | 2019-11-25 | 2020-04-03 | 广西博测检测技术服务有限公司 | 一种噪声巡检方法及设备 |
EP4165284B1 (en) | 2020-06-11 | 2024-08-07 | Lytt Limited | Systems and methods for subterranean fluid flow characterization |
CA3182376A1 (en) | 2020-06-18 | 2021-12-23 | Cagri CERRAHOGLU | Event model training using in situ data |
CN112532941A (zh) * | 2020-11-30 | 2021-03-19 | 南京中科声势智能科技有限公司 | 车辆源强监测方法、装置、电子设备及存储介质 |
DE102021118762A1 (de) | 2021-07-20 | 2023-01-26 | Datacollect Traffic Systems Gmbh | Verfahren und System zum Erkennen eines elektrisch angetriebenen Fahrzeugs |
KR102423293B1 (ko) * | 2022-03-25 | 2022-07-20 | 주식회사 씨엔에스환경기술 | 정온지역 소음 환경 평가를 위한 자동소음측정 방법 |
DE102022134563A1 (de) | 2022-12-22 | 2024-06-27 | Faurecia Emissions Control Technologies, Germany Gmbh | Verfahren sowie Vorrichtung zur Kontrolle der Geräuschemission eines Kraftfahrzeugs im Straßenverkehr |
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JPH03226629A (ja) * | 1990-01-31 | 1991-10-07 | Oki Electric Ind Co Ltd | 発音体の機種判別方法 |
JP2707174B2 (ja) * | 1991-09-19 | 1998-01-28 | 沖電気工業株式会社 | エンジン音からの車種判別方法 |
EP0559962B1 (en) * | 1992-03-11 | 1998-09-16 | Mitsubishi Denki Kabushiki Kaisha | Silencing apparatus |
US5619616A (en) * | 1994-04-25 | 1997-04-08 | Minnesota Mining And Manufacturing Company | Vehicle classification system using a passive audio input to a neural network |
FR2790129B1 (fr) * | 1999-02-19 | 2001-05-11 | Frank Seemuller | Equipement de securite pour des vehicules |
-
2000
- 2000-12-22 DE DE10064754A patent/DE10064754A1/de not_active Withdrawn
-
2001
- 2001-12-12 DE DE50105495T patent/DE50105495D1/de not_active Expired - Fee Related
- 2001-12-12 JP JP2002553757A patent/JP2004531695A/ja active Pending
- 2001-12-12 US US10/451,416 patent/US20050100172A1/en not_active Abandoned
- 2001-12-12 WO PCT/EP2001/014622 patent/WO2002052542A2/de active IP Right Grant
- 2001-12-12 MX MXPA03005619A patent/MXPA03005619A/es active IP Right Grant
- 2001-12-12 EP EP01272004A patent/EP1344197B1/de not_active Expired - Lifetime
- 2001-12-12 BR BR0116791-0A patent/BR0116791A/pt not_active IP Right Cessation
- 2001-12-12 ES ES01272004T patent/ES2236136T3/es not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
WO2002052542A2 (de) | 2002-07-04 |
US20050100172A1 (en) | 2005-05-12 |
WO2002052542A3 (de) | 2002-11-07 |
BR0116791A (pt) | 2004-02-03 |
DE10064754A1 (de) | 2002-07-04 |
DE50105495D1 (de) | 2005-04-07 |
JP2004531695A (ja) | 2004-10-14 |
EP1344197A2 (de) | 2003-09-17 |
ES2236136T3 (es) | 2005-07-16 |
MXPA03005619A (es) | 2004-03-16 |
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