EP0940789A2 - Verfahren und Sensor zur Brandmeldung - Google Patents
Verfahren und Sensor zur Brandmeldung Download PDFInfo
- Publication number
- EP0940789A2 EP0940789A2 EP99103015A EP99103015A EP0940789A2 EP 0940789 A2 EP0940789 A2 EP 0940789A2 EP 99103015 A EP99103015 A EP 99103015A EP 99103015 A EP99103015 A EP 99103015A EP 0940789 A2 EP0940789 A2 EP 0940789A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- signals
- fire
- microwave
- ultrasound
- output signals
- 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.)
- Granted
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/183—Single detectors using dual technologies
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
- G08B29/186—Fuzzy logic; neural networks
Definitions
- the invention relates to a method and a sensor for Fire alarm, whereby emitted signals between a transmitter unit and a receiving unit the area to be monitored happen and be reflected.
- the aim of meaningful early fire detection is to: Sensitivity to characteristics in the early phase of the Increase fire and at the same time the possibility of one minimize false alarms.
- a combined fire detector based on microwaves and ultrasound, or also in combination with light which emits microwave and ultrasound signals according to the invention and the disturbance of the Doppler frequency - 4, which is normally given, ie in the event of no fire - between the two Microwave received signals and the ultrasonic received signals used as a detection criterion.
- the new procedure can be considered Anti-incidence procedures.
- the combination of the acoustic detector with a microwave sensor has the advantage that microwave signals as Reference can be used because of smoke or smoke Heat effects on the propagation path are hardly touched, while the signals reflected by objects in space, they will be monitored from approximately the same location Emitted space, have coherent Doppler frequencies, i.e. they are reciprocal to the respective wavelength of ultrasound and microwave. So join in the room fluctuations in the ultrasonic signals, which are not observed in the microwave signal, so it is an indication of corresponding fluctuations in the propagation medium, which is typical of an emerging fire are like rising air and combustion gases.
- the exploitation of the microwave-ultrasound coincidence principle sensitive and reliable fire detection.
- CW signals unmodulated continuous wave signals
- CW signals basically only movements can be detected.
- the Doppler shifts may by determining the signal phase or by means of spectral analysis with FFT (F ast F individual Fourier ransformation T) are evaluated. The significance of the statement is increased if the alarm criterion for several successive evaluation areas must be met before a fire is concluded.
- Neural networks or fuzzy logic methods can be used advantageously for classification [8].
- the classification of the signal parameters of the ultrasound and microwave reception signals for decision-making for example signal level, attenuation of propagation, flicker frequency, detected object distances, is often only possible taking into account certain general rules and their processing fuzzy logic or a trained decision-making network possible.
- FMCW signals frequency-modulated continuous wave signals
- a periodically frequency-modulated signal is transmitted reflected on an object and reaches the recipient:
- the frequency of the difference signal from the transmit and receive signals is then proportional to the object distance.
- ultrasonic and microwave signals on a common reflector can be aligned, for example by the distance from the ultrasonic sensor at a different distance the reflector detected by the microwave signal become. So the distance to the respective object must be beforehand not be known.
- a fluctuating interference is present at distance resolution method such as run-time method, FMCW, correlation process with PN code (P seudo- N oise) objects.
- distance resolution method such as run-time method, FMCW, correlation process with PN code (P seudo- N oise) objects.
- PN code P seudo- N oise
- the tools of the described evaluation such as quadrature demodulation, arctangent calculation, phase tracking, threshold evaluation, possibly Hilbert transformation and FFT, are used in the same way for motion detection, so that the two alarm detectors, fire and intrusion alarm, are combined without additional hardware to form a universal, powerful room monitoring system can be.
- the evaluation principle described can advantageously implement with digital signals, preferably igitalen on a microcontroller, or D S ignalvonor (DSP).
- DSP D S ignal revitalizor
- the fire detector described has the character of a distance sensor: the quantities to be sensed influence the emitted signal on the propagation path.
- the sensitivity range of the sensor thus corresponds to its detection range, which results from the range and the opening angle of the radiation.
- An active IR detector could therefore replace the microwave sensor Take control "of the ultrasonic sensor or used in addition to increased security against interference signals.
- the transmission channel SK of the ultrasonic sensor comprises a signal generator G and modules for signal conditioning of the transmission signal sus (t) (transmission amplifier V, adaptation A).
- the receive signal e us (t) is divided into two orthogonal components i us (t) and q us (t) after amplification and bandpass filtering BP by quadrature demodulation QDM.
- the ultrasound transmitter transducers SW and reception transducers EW are preferably ultrasound transducers with high quality and sensitivity, such as piezoceramic bending transducers.
- the microwave Doppler sensor e.g. 2.5; 5.8; 10; 24 GHz
- the microwave Doppler sensor is usually subject to relatively low requirements because the monitored distances and the resolution requirements are moderate.
- the demodulated received signals of the ultrasonic sensor and the microwave sensor are read in 4 channels (2 ultrasonic signals ius , q us , 2 microwave signals i mw , q mw ) alternately in blocks of, for example, 256 points via the internal A / D converter.
- 2 ultrasonic signals ius , q us , 2 microwave signals i mw , q mw are read in 4 channels
- 2 ultrasonic signals ius , q us , 2 microwave signals i mw , q mw ) alternately in blocks of, for example, 256 points via the internal A / D converter.
- Doppler frequencies approximately 5 to 480 Hz for ultrasound and of approximately 3 to 320 Hz for microwave occur.
- the movements caused by fire appear in the range up to approx. 200 Hz. Accordingly, a sampling frequency of approx. 1 kHz can be used.
- the amplitude of the received signals is tracked continuously and performed a Doppler evaluation.
- the phase of the complex Ultrasonic and microwave signals are calculated using an arctangent certainly.
- the Doppler frequency results from the derivation of the phase, the direction of movement from the Sign.
- flicker pendulum
- the extracted features Doppler frequency, flickering movement and intensity profile are used for alarm decision over several consecutive Evaluation intervals followed.
- the Doppler evaluation can only be carried out if a change is registered that is greater than a set tolerance range. Another possibility arises for the detection of Irregularities "to keep the ultrasonic sensor continuously active and to switch the microwave sensor on for control purposes only when significant attenuations and fluctuations are registered on the path of propagation of the sound signal.
- the ultrasound signal S us (t) can be generated by software and output via a D / A converter.
- the ultrasound received signal e us (t) and the downmixed microwave difference signal d mw (t) are read in via an A / D converter board.
- the difference signal d us (t) is formed in the receiver by software multiplication, so that the ultrasound sensor now only consists of the ultrasound transmitter transducer SW and the receiver transducer EW (preferably piezoceramic bending oscillators).
- a sensor with good linearity in frequency modulation is preferably used as the microwave FMCW module.
- the microwave FMCW module Using an FFT over blocks of, for example, 1024 sampling points, the (real) spectrum of both received signals is formed and examined for maxima.
- FIG. 3 is an evaluation feature the phase development of the received signals is plotted, which indicates the sensitivity of the sensor to changes demonstrated the transmission route.
- Fig 3a) are minimal Recognize phase fluctuations due to background noise.
- Fig. 3b) shows the influence of air movements on the Phase of the ultrasound signal.
- smoke causes strong Fluctuations in the ultrasound phase, as shown in Fig. 3c).
- the microwave phase remains almost unaffected.
- Fig. 3d is the evaluation of the received signals shown when moving people.
- the detection capability was then determined under test conditions according to EN 54/7 of the combined sensor based on a test fire TF 1, beech wood fire - small bright particles, examined.
- the sensor was placed under the ceiling, its distance to the source of the fire was 3m.
- 4a) and 4b) are the amplitudes of the received signals over a period of 5 minutes.
- the ultrasound signal shows considerable amplitudes, similar to that caused by movement of people could be. The enables a clear distinction Comparison with the microwave signal together with an evaluation fluctuations in Doppler frequency; see Fig 4c).
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Artificial Intelligence (AREA)
- Analytical Chemistry (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Chemical & Material Sciences (AREA)
- Automation & Control Theory (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Fire-Detection Mechanisms (AREA)
- Fire Alarms (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
Description
Claims (15)
- Verfahren zur Brandmeldung,
bei demvon mindestens einem Sender Ultraschallsignale und von mindestens einem weiteren Sender Mikrowellen- oder Lichtsignale oder eine Kombination von allen drei unterschiedlichen Wellenarten ausgesandt werden,von den Sendern zugeordneten Empfängern von Objekten reflektierte Dopplersignale empfangen werden,die Auswertung von Empfangssignalen einzeln und in Kombination geschieht, so daß ein bei einer Wellenart verändertes Empfangssignal für den Fall, daß ein Empfangssignal bei einer oder mehreren anderen Wellenarten keine Bewegung anzeigt, Rauch, Partikel oder Veränderungen in der Gaszusammensetzung im Detektionsbereich detektiert. - Verfahren nach Anspruch 1,
bei dem Mikrowellen- und Ultraschallsignale mit jeweils mindestens einem Sender und einem zugeordneten Empfänger eingesetzt werden. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem aus der fehlenden Übereinstimmung der Frequenzen der Mikrowellen- und Ultraschall- Ausgangssignale der Empfänger innerhalb eines Toleranzbereiches eine Personen- oder Objektbewegung als Ursache der äußeren Einflüsse ausgeschlossen wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem bei Detektion starker Fluktuationen von Amplitude und Frequenz der Ausgangssignale der Empfänger der Ultraschallsensoren bei gleichzeitig geringer Amplituden- und Frequenzfluktuation der Ausgangssignale der Empfänger der Mikrowellensensoren auf Brand als Ursache geschlossen wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem die Merkmale der Ausgangssignale der Empfänger anhand einer Schwellenauswertung extrahiert werden. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem durch den Einsatz entfernungsselektiver Sendesignale, wie Pulse, frequenzmodulierte Signale, zusätzlich zu Amplitude und Dopplerfrequenz der Abstand zu starken Reflektoren im gemeinsamen Erfassungsbereich der Sensoren bestimmt wird. - Verfahren nach Anspruch 6,
bei dem aus den von einem Ultraschall- oder Lichtsensor unter veränderten Abstand im Vergleich zu einem Mikrowellensensor detektierten Reflektoren auf brandtypische Veränderungen auf dem Signalübertragungsweg geschlossen wird. - Verfahren nach den Ansprüchen 6 oder 7,
bei dem durch Auswertung der Entfernungsinformation in den Ausgangssignalen der Ultraschall- oder Lichtsensoren ein Brandherd lokalisiert wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem durch den zusätzlichen Einsatz von aktiven oder passiven Infrarot-Detektoren mit Strahlenfächer eine laterale Zuordnung des Brandherdes möglich wird, womit seine Lokalisierung verbessert wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem typische Merkmale von Mikrowellen- und Ultraschall-Ausgangssignalen von verschiedenen äußeren Einflüssen als Muster in einer Datenbank abgelegt werden und zur Entscheidung über eine Brandlage mit den Merkmalen der aktuellen Ausgangssignale verglichen werden. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem mit dem Einsatz von aktiven Infrarot-Detektoren durch Abstandsmessungen zu räumlich positionierten Objekten in einer Kalibrierphase berechnet wird, wie die Mikrowellensignale auszusehen haben und auf diese Weise ohne Einsatz von Mikrowellensensoren Mustersignale für die Auswertung der Ausgangssignale der Ultraschallsensoren hinsichtlich eines Brandzustandes zur Verfügung gestellt werden. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem typische Merkmale von äußeren Einflüssen zur Definition von Merkmalsräumen, entsprechenden Zugehörigkeitsfunktionen und Regeln der Zuordnung dienen und aus der Zuordnung die Merkmale der aktuellen Ausgangssignale mit Methoden der Fuzzy Logik über eine Brandlage entschieden wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem die Bewertung der Merkmale der aktuellen Ausgangssignale mit Neuronalen Netzen vorgenommen wird. - Verfahren nach einem der vorhergehenden Ansprüche,
bei dem bei Nutzung der gleichen Hardware und Signalverarbeitungsmethoden durch Umkehrung des Auswerteprinzips die Kombination eines Bewegungs- und Brandmelders und damit ein universelles Raumüberwachungssytem entsteht. - Sensor zur Brandmeldung, der mindestens eine Ultraschall-Sende/Empfangs-Einheit und mindestens eine weitere Sende/Empfangs-Einheit für Mikrowelle oder Licht oder eine Kombination aus allen aufweist, wobei Empfangssignale einer Auswerte-Einheit zuführbar sind.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19809763 | 1998-03-06 | ||
DE19809763A DE19809763A1 (de) | 1998-03-06 | 1998-03-06 | Verfahren und Sensor zur Brandmeldung |
Publications (3)
Publication Number | Publication Date |
---|---|
EP0940789A2 true EP0940789A2 (de) | 1999-09-08 |
EP0940789A3 EP0940789A3 (de) | 2000-08-16 |
EP0940789B1 EP0940789B1 (de) | 2002-10-23 |
Family
ID=7860027
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP99103015A Expired - Lifetime EP0940789B1 (de) | 1998-03-06 | 1999-02-15 | Verfahren zur Brandmeldung |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP0940789B1 (de) |
AT (1) | ATE226747T1 (de) |
DE (2) | DE19809763A1 (de) |
ES (1) | ES2186261T3 (de) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1687787A2 (de) * | 2003-11-21 | 2006-08-09 | Honeywell International, Inc. | Feuerdetektoren mit mehreren sensoren mit audiosensoren und systeme dafür |
US7356438B2 (en) | 2003-12-22 | 2008-04-08 | Airbus Deutschland Gmbh | Method and device for temperature monitoring along a measuring line |
JP2017134611A (ja) * | 2016-01-27 | 2017-08-03 | 国立大学法人弘前大学 | 火炎検出センサ及び火炎検出方法 |
WO2020251733A1 (en) * | 2019-06-14 | 2020-12-17 | Carrier Corporation | Smoke and steam detector |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0103375A1 (de) * | 1982-07-22 | 1984-03-21 | Monicell Limited | Alarmsystem |
US4625199A (en) * | 1985-01-14 | 1986-11-25 | American District Telegraph Company | Combination intrusion detector system having correlated ultrasonic and microwave detection sub-systems |
EP0467388A2 (de) * | 1990-07-20 | 1992-01-22 | Spectronix Ltd. | Verfahren zur Detektierung von Feuer, Explosion und/oder Projektildurchdringung |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE3318974C2 (de) * | 1983-05-25 | 1985-10-17 | Preussag AG Bauwesen, 3005 Hemmingen | Flammenmelder |
-
1998
- 1998-03-06 DE DE19809763A patent/DE19809763A1/de not_active Ceased
-
1999
- 1999-02-15 DE DE59903134T patent/DE59903134D1/de not_active Expired - Fee Related
- 1999-02-15 ES ES99103015T patent/ES2186261T3/es not_active Expired - Lifetime
- 1999-02-15 EP EP99103015A patent/EP0940789B1/de not_active Expired - Lifetime
- 1999-02-15 AT AT99103015T patent/ATE226747T1/de not_active IP Right Cessation
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0103375A1 (de) * | 1982-07-22 | 1984-03-21 | Monicell Limited | Alarmsystem |
US4625199A (en) * | 1985-01-14 | 1986-11-25 | American District Telegraph Company | Combination intrusion detector system having correlated ultrasonic and microwave detection sub-systems |
EP0467388A2 (de) * | 1990-07-20 | 1992-01-22 | Spectronix Ltd. | Verfahren zur Detektierung von Feuer, Explosion und/oder Projektildurchdringung |
Non-Patent Citations (1)
Title |
---|
RUSER, H; MAGORI, V.: "FIRE DETECTION WITH A COMBINED ULTRASONIC-MICROWAVE DOPPLER SENSOR" 4. Oktober 1998 (1998-10-04) , IEEE ULTRASONICS SYMPOSIUM , USA XP002140398 * das ganze Dokument * * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1687787A2 (de) * | 2003-11-21 | 2006-08-09 | Honeywell International, Inc. | Feuerdetektoren mit mehreren sensoren mit audiosensoren und systeme dafür |
EP1687787B1 (de) * | 2003-11-21 | 2015-08-26 | Honeywell International Inc. | Feuerdetektoren mit mehreren sensoren mit audiosensoren und systeme dafür |
US7356438B2 (en) | 2003-12-22 | 2008-04-08 | Airbus Deutschland Gmbh | Method and device for temperature monitoring along a measuring line |
EP1548416B1 (de) * | 2003-12-22 | 2012-04-25 | Airbus Operations GmbH | Verfahren und Vorrichtung zur Temperaturüberwachung entlang einer Messleitung |
JP2017134611A (ja) * | 2016-01-27 | 2017-08-03 | 国立大学法人弘前大学 | 火炎検出センサ及び火炎検出方法 |
WO2020251733A1 (en) * | 2019-06-14 | 2020-12-17 | Carrier Corporation | Smoke and steam detector |
US11132884B2 (en) | 2019-06-14 | 2021-09-28 | Carrier Corporation | Smoke and steam detector |
Also Published As
Publication number | Publication date |
---|---|
ATE226747T1 (de) | 2002-11-15 |
EP0940789A3 (de) | 2000-08-16 |
DE19809763A1 (de) | 1999-12-02 |
EP0940789B1 (de) | 2002-10-23 |
DE59903134D1 (de) | 2002-11-28 |
ES2186261T3 (es) | 2003-05-01 |
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