EP0849714A1 - Method for evaluating a signal of a motion detector - Google Patents

Method for evaluating a signal of a motion detector Download PDF

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Publication number
EP0849714A1
EP0849714A1 EP96120641A EP96120641A EP0849714A1 EP 0849714 A1 EP0849714 A1 EP 0849714A1 EP 96120641 A EP96120641 A EP 96120641A EP 96120641 A EP96120641 A EP 96120641A EP 0849714 A1 EP0849714 A1 EP 0849714A1
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Prior art keywords
signal
motion detector
frequency
frequency spectrum
signal curve
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EP96120641A
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German (de)
French (fr)
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EP0849714B1 (en
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Dipl.-Ing. Tomic. Petar
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Siemens AG
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Siemens AG
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Priority to DK96120641T priority patent/DK0849714T3/en
Priority to DE59609097T priority patent/DE59609097D1/en
Priority to EP96120641A priority patent/EP0849714B1/en
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    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/19—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using infrared-radiation detection systems

Definitions

  • the invention relates to a method for evaluation a signal from a motion detector, in particular a passive infrared motion detector. With such motion detectors usually results for a recorded change characteristic signal curve.
  • the invention relates continue to a motion detector that works according to the procedure.
  • Motion detectors of the type described are usually in hazard detection technology and control technology of moving objects in an indoor or outdoor space used. This is done by a human body or infrared radiation emitted by another heat source bundled by optics and fed to a sensor.
  • a motion detector is for capturing and evaluating dynamic changes designed. Even the smallest can be in its measuring range Changes in the beam flow or changes in temperature over time between the ambient temperature and the respective Surface temperature of the object can be detected.
  • the invention has for its object a method and to develop a motion detector that is particularly immune to interference is and at the same time can be interpreted highly sensitive.
  • the described task is solved with the method according to claim 1.
  • the solution is also provided by a Motion detector according to claim 4.
  • This is the Frequency spectrum from the temporal signal curve with stored, frequency spectrum typical of certain changes compared. Common false triggers are based on this principle avoided, even if fundamentally a sensitive one Tripping is set. In this way, one avoids the usual wrong switching due to drafts where the sensor would otherwise be dynamic Interpret temperature difference images with streaks as movement can. Such security against false tripping is particularly advantageous when a Sensor in the door area instead of an installation switch should be used to turn on lights when one Person enters the room.
  • the amplitude normalizer being a comparator can be connected downstream with memory.
  • the frequency spectra can be formed in a frequency transformer, which is set up to receive an analog signal via its temporal waveform at successive times the Form frequency spectrum at the respective signal time.
  • the invention is based on the finding that the different Occurring events characteristic waveforms can be assigned.
  • the device for carrying out the method according to FIG. 1 works with an optic 1, a sensor 2, an amplifier 3 and an evaluation device 4.
  • the optics 1 detects processes in a certain angular space 5.
  • the evaluation device 4 comes to detected changes a signal with a characteristic Waveform on.
  • the temporal signal curve becomes a frequency spectrum at successive times won that with saved, for certain changes typical frequency spectra is compared.
  • the frequency spectrum at a time of the waveform can be in each case undergo amplitude normalization in a known manner to be able to compare to scale.
  • the respective Result of the comparison for agreement with the saved one Frequency spectrum can be used as a result signal for Display or for further processing at the output of the evaluation device 4 are provided.
  • the components according to FIG. 1 can be accommodated in a motion detector.
  • time range 6 is the temporal signal curve for a normal movement and in time range 7 for a quick movement, especially for a fast movement at close range.
  • the voltage of the signal can be in the variation range 8. It an additional voltage limitation can be provided.
  • FIG 3 shows typical diagrams in the manner of FIG Faults reproduced.
  • the signal curve 9 is for detected Typical changes due to drafts.
  • the signal course 10 is characteristic of a particular burst-type disturbance.
  • Motion detectors are commonly used for their performance assigned to different classes.
  • For devices in the class 1 is required that the amplified signals from outgoing or crawling people over a distance of 2 m with a Velocity between 0.2 m / s and 2 m / s can be detected.
  • the values are 1.5 m / s and 0.5 m / s to 5 m / s.
  • the speed limits are dependent signals differing in distance and focal length of the optics on sensor 2. Nevertheless, the signal curve points in time Dependency and what can be gained at any time Frequency spectrum a particularly characteristic course on. It has been shown that the frequency spectrum is special is characteristic.
  • FIG 4 is a diagram with the coordinates for the Time t and for the frequency spectrum over the frequency f and for the amplitude of the voltage u the transformation of a temporal signal curve in the respective frequency spectrum illustrated in a time grid R1 to R101.
  • the sampling rate to obtain the temporal grid points lies after an example at 50 ms.
  • the focal length of the optics 1 is in this example at 6 mm.
  • the frequency spectra were after FIG 4 achieved.
  • the frequency transformer 11 has a signal sampling device 12 and a device 13 for implementation in Frequency spectra.
  • the frequency spectra become a comparator 14 supplied, in its memory at typical time Typical waveforms for disturbance, movement and burst Frequency spectra are stored.
  • the received signal is compared with the stored signal and one Type assigned.
  • the method is based on the evaluation of the spectrum of a amplified signal from a sensor 2.
  • spectral distributions become from the time domain to the frequency domain achieved, for example according to FIG 4, which one Can undergo amplitude normalization.
  • the spectral distribution can then with typical stored spectral distributions be compared. It has a sufficient similarity shown with typical spectral distributions.
  • General one can say that air movements in their waveform are emphasized low frequency and that a burst is a special one has a uniform spectrum. For example, generate Fluorescent bursts, being fluorescent of fluorescent Run out of disturbances.
  • Assigned interference signals according to the regulations on electromagnetic compatibility, for example EMC standard IEC801 part 4, not to Lead to impairments. On the other hand, according to the provisions the emission of. via EMC compatibility Disruptions can be avoided.
  • sampling rate A variation in the sampling rate and the number of considered values to be drawn allows the method and a motion detector to adapt to the given optics.
  • the sampling rate should be in reasonable proportion to the bandwidth of the Amplifier.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)
  • Color Television Systems (AREA)
  • Details Of Television Scanning (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The method involves generating a signal variation characteristic of a detected change. The frequency spectrum of the time variation of the signal is compared with stored frequency spectra for typical changes. The frequency spectrum is submitted to amplitude normalisation at a time point during a signal record and then compared with stored spectra. The comparison result is prepared for indication or further processing.

Description

Die Erfindung bezieht sich auf ein Verfahren zum Auswerten eines Signals eines Bewegungsmelders, insbesondere eines Passiv-Infrarot-Bewegungsmelders. Bei derartigen Bewegungsmeldern ergibt sich in der Regel für eine erfaßte Änderung ein charakteristischer Signalverlauf. Die Erfindung bezieht sich weiter auf einen Bewegungsmelder, der nach dem Verfahren arbeitet.The invention relates to a method for evaluation a signal from a motion detector, in particular a passive infrared motion detector. With such motion detectors usually results for a recorded change characteristic signal curve. The invention relates continue to a motion detector that works according to the procedure.

Bewegungsmelder der geschilderten Art werden üblicherweise in der Gefahrenmeldetechnik und in der Steuerungstechnik zum erfassen von bewegten Objekten in einem Innen- oder Außenraum eingesetzt. Dabei wird die von einem menschlichen Körper oder von einer anderen Wärmequelle abgegebene Infrarotstrahlung von einer Optik gebündelt und einem Sensor zugeführt. Ein Bewegungsmelder ist zum Erfassen und Auswerten dynamischer Änderungen ausgelegt. In seinen Meßbereich können auch kleinste Strahlenflußänderungen oder zeitliche Änderungen der Temperaturdifferenz zwischen der Umgebungstemperatur und der jeweiligen Oberflächentemperatur des Objektes detektiert werden.Motion detectors of the type described are usually in hazard detection technology and control technology of moving objects in an indoor or outdoor space used. This is done by a human body or infrared radiation emitted by another heat source bundled by optics and fed to a sensor. A motion detector is for capturing and evaluating dynamic changes designed. Even the smallest can be in its measuring range Changes in the beam flow or changes in temperature over time between the ambient temperature and the respective Surface temperature of the object can be detected.

Üblicherweise werden bei Bewegungsmeldern die am Sensor durch einen sich bewegenden thermisch strahlenden Körper erzeugten Potentialänderungen, die sehr gering sind, hoch verstärkt und auf Überschreiten einer oberen und bzw. oder einer unteren Auflösegrenze überwacht.In the case of motion detectors, they are usually checked on the sensor generated a moving thermally radiating body Potential changes that are very small, highly amplified and if an upper and / or a lower one is exceeded Resolution limit monitored.

In der Praxis erscheinen jedoch am Ausgang eines üblicherweise eingesetzten Niederfrequenz-Schmalbandverstärkers Signalanteile von Störungen, die beispielsweise durch Schaltvorgänge im angeschlossenen Stromnetz erzeugt und über den Sensor des Bewegungsmelders eingekoppelt werden. Derartige Störentkopplungen können zu unerwünschten Fehlauslösungen des Bewegungsmelders führen.In practice, however, one usually appears at the exit low-frequency narrowband amplifier used Signal components from disturbances, for example due to switching operations generated in the connected power grid and via the Sensor of the motion detector can be coupled. Such Interference decoupling can lead to unwanted false tripping of the Lead motion detector.

Der Erfindung liegt die Aufgabe zugrunde, ein Verfahren und einen Bewegungsmelder zu entwickeln, der besonders störfest ist und zugleich hoch sensibel ausgelegt werden kann.The invention has for its object a method and to develop a motion detector that is particularly immune to interference is and at the same time can be interpreted highly sensitive.

Die Lösung der geschilderten Aufgabe erfolgt mit dem Verfahren nach Patentanspruch 1. Die Lösung erfolgt auch durch einen Bewegungsmelder nach Patentanspruch 4. Hierbei wird das Frequenzspektrum aus dem zeitlichen Signalverlauf mit abgespeicherten, für bestimmte Änderungen typischen Frequenzspektrum verglichen. Nach diesem Prinzip werden übliche Fehlauslösungen vermieden, auch wenn dem Grunde nach eine sensible Auslösung eingestellt ist. So vermeidet man übliche Fehlschaltungen durch Luftzug, bei denen sonst der Sensor dynamische Temperaturdifferenzbilder bei Schlieren als Bewegung interpretieren kann. Eine derartige Sicherheit gegen Fehlauslösungen ist insbesondere dann besonders vorteilhaft, wenn ein Sensor im Türbereich anstelle eines Installationsschalters eingesetzt werden soll, um Leuchten einzuschalten, wenn eine Person den Raum betritt.The described task is solved with the method according to claim 1. The solution is also provided by a Motion detector according to claim 4. This is the Frequency spectrum from the temporal signal curve with stored, frequency spectrum typical of certain changes compared. Common false triggers are based on this principle avoided, even if fundamentally a sensitive one Tripping is set. In this way, one avoids the usual wrong switching due to drafts where the sensor would otherwise be dynamic Interpret temperature difference images with streaks as movement can. Such security against false tripping is particularly advantageous when a Sensor in the door area instead of an installation switch should be used to turn on lights when one Person enters the room.

Beim erfindungsgemäßen Verfahren kann man die zu jeweiligen Zeitpunkten gewonnenen Frequenzspektren in ihrem Signalverlauf in üblicher Weise einer Amplitudennormierung unterziehen. Es lassen sich dann typische Signalverläufe besonders gut vergleichen. Ein danach arbeitender Bewegungsmelder ist besonders vorteilhaft, wobei dem Amplitudennormierer ein Vergleicher mit Speicher nachgeschaltet sein kann. Die Frequenzspektren lassen sich in einem Frequenztransformator bilden, der dafür eingerichtet ist, ein analoges Signal über seinen zeitlichen Signalverlauf zu nacheinanderfolgenden Zeiten das Frequenzspektrum zum jeweiligen Signalzeitpunkt zu bilden. In the method according to the invention, the respective Frequency spectra obtained in their signal curve at times subject to an amplitude normalization in the usual way. Typical signal profiles can then be identified compare well. A motion detector working after this is particularly advantageous, the amplitude normalizer being a comparator can be connected downstream with memory. The frequency spectra can be formed in a frequency transformer, which is set up to receive an analog signal via its temporal waveform at successive times the Form frequency spectrum at the respective signal time.

Der Erfindung liegt die Erkenntnis zugrunde, daß den verschiedenartig vorkommenden Ereignissen charakteristische Signalverläufe zugeordnet werden können.The invention is based on the finding that the different Occurring events characteristic waveforms can be assigned.

Vorteilhafte Ausgestaltungen sind Gegenstand der Unteransprüche.Advantageous refinements are the subject of the dependent claims.

Die Erfindung soll nun anhand von in der Zeichnung grob schematisch wiedergegebenen Ausführungsbeispielen näher erläutert werden:

  • In FIG 1 ist eine Standardschaltung aus Optik, Sensor, Verstärker und Auswerteschaltung veranschaulicht.
  • In FIG 2 ist der Signalverlauf in einem Zeit-Spannungs-Diagramm für zwei Bewegungsarten wiedergegeben: einer normalen Bewegung und einer schnellen Bewegung, insbesondere im Nahbereich.
  • In FIG 3 ist der Signalverlauf in einem Diagramm nach Art von FIG 2 für Störungen dargestellt, links für Luftzug und rechts für eine Störung in Form eines sogenannten Bursts.
  • In FIG 4 ist die Umsetzung des zeitlichen Signalverlaufs in ein Frequenzspektrum zu aufeinanderfolgenden Zeiten veranschaulicht.
  • In FIG 5 ist eine Baugruppe für einen Bewegungsmelder veranschaulicht, bestehend aus einem Frequenztransformator, aus Signalabtasteinrichtung und einer Einrichtung zur Umsetzung in Frequenzspektren, mit angeschlossenem Vergleicher, der mit einem Speicher arbeitet, in dem typische Frequenzspektren zum jeweils typischen zeitlichen Signalverlauf abgespeichert sind.
    • The invention will now be explained in more detail with reference to exemplary embodiments shown roughly schematically in the drawing:
  • A standard circuit comprising optics, sensor, amplifier and evaluation circuit is illustrated in FIG.
  • 2 shows the signal curve in a time-voltage diagram for two types of movement: a normal movement and a fast movement, in particular in the close range.
  • 3 shows the signal curve in a diagram like FIG. 2 for disturbances, left for drafts and right for a disturbance in the form of a so-called burst.
  • FIG. 4 illustrates the conversion of the temporal signal curve into a frequency spectrum at successive times.
  • 5 shows a module for a motion detector, consisting of a frequency transformer, a signal sampling device and a device for converting into frequency spectra, with a connected comparator, which works with a memory in which typical frequency spectra for the respective typical temporal signal curve are stored.

    • Die Einrichtung zur Durchfuhrung des Verfahrens nach FIG 1 arbeitet mit eine Optik 1, einem Sensor 2, einem Verstärker 3 und einer Auswerteeinrichtung 4. Die Optik 1 erfaßt Vorgänge in einem bestimmten Winkelraum 5. In der Auswerteeinrichtung 4 kommt zu erfaßten Änderungen ein Signal mit charakteristischem Signalverlauf an. Aus dem zeitlichen Signalverlauf wird zu aufeinanderfolgenden Zeiten jeweils ein Frequenzspektrum gewonnen, das mit abgespeicherten, für bestimmte Änderungen typischen Frequenzspektren verglichen wird. Das Frequenzspektrum zu einem Zeitpunkt des Signalverlaufs kann jeweils in an sich bekannter Weise einer Amplitudennormierung unterzogen werden, um maßstabsgerecht vergleichen zu können. Das jeweilige Ergebnis des Vergleichs auf Übereinstimmung mit dem abgespeicherten Frequenzspektrum kann als Ergebnissignal für Anzeigen oder für Weiterverarbeitung am Ausgang der Auswerteeinrichtung 4 bereitgestellt werden. Die Bauteile nach FIG 1 können in einem Bewegungsmelder untergebracht sein.The device for carrying out the method according to FIG. 1 works with an optic 1, a sensor 2, an amplifier 3 and an evaluation device 4. The optics 1 detects processes in a certain angular space 5. In the evaluation device 4 comes to detected changes a signal with a characteristic Waveform on. The temporal signal curve becomes a frequency spectrum at successive times won that with saved, for certain changes typical frequency spectra is compared. The frequency spectrum at a time of the waveform can be in each case undergo amplitude normalization in a known manner to be able to compare to scale. The respective Result of the comparison for agreement with the saved one Frequency spectrum can be used as a result signal for Display or for further processing at the output of the evaluation device 4 are provided. The components according to FIG. 1 can be accommodated in a motion detector.

    Im Diagramm nach FIG 2 ist auf der Abszisse die Zeit t und auf der Ordinate die Spannung u abgetragen. Im Zeitbereich 6 ist der zeitliche Signalverlauf für eine normale Bewegung und im Zeitbereich 7 für eine schnelle Bewegung, insbesondere für eine schnelle Bewegung im Nahbereich, veranschaulicht. Die Spannung des Signals kann im Variationsbereich 8 liegen. Es kann eine zusätzliche Spannungsbegrenzung vorgesehen sein.In the diagram according to FIG. 2, the time t and is on the abscissa the voltage u is plotted on the ordinate. In time range 6 is the temporal signal curve for a normal movement and in time range 7 for a quick movement, especially for a fast movement at close range. The The voltage of the signal can be in the variation range 8. It an additional voltage limitation can be provided.

    In FIG 3 sind in einem Diagramm nach Art von FIG 2 typische Störungen wiedergegeben. Der Signalverlauf 9 ist für erfaßte Änderungen infolge von Luftzug typisch. Der Signalverlauf 10 ist für eine bestimmte Störung nach Art eines Bursts charakteristisch.3 shows typical diagrams in the manner of FIG Faults reproduced. The signal curve 9 is for detected Typical changes due to drafts. The signal course 10 is characteristic of a particular burst-type disturbance.

    Bewegungsmelder werden üblicherweise hinsichtlich ihrer Leistung verschiedenen Klassen zugeordnet. Bei Geräten der Klasse 1 wird verlangt, daß die verstärkten Signale von gehenden oder kriechenden Personen über einen Weg von 2 m mit einer Geschwindigkeit zwischen 0,2 m/s und 2 m/s detektiert werden. In der Klasse 2 liegen die Werte bei 1,5 m/s und 0,5 m/s bis 5 m/s. Die Geschwindigkeitsgrenzen bewirken in Abhängigkeit von Entfernung und Brennweite der Optik verschiedenartige Signale am Sensor 2. Dennoch weist der Signalverlauf in zeitlicher Abhängigkeit und das zu jedem Zeitpunkt zu gewinnende Frequenzspektrum einen besonders charakteristischen Verlauf auf. Es hat sich gezeigt, daß das Frequenzspektrum besonders charakteristisch ist.Motion detectors are commonly used for their performance assigned to different classes. For devices in the class 1 is required that the amplified signals from outgoing or crawling people over a distance of 2 m with a Velocity between 0.2 m / s and 2 m / s can be detected. In class 2, the values are 1.5 m / s and 0.5 m / s to 5 m / s. The speed limits are dependent signals differing in distance and focal length of the optics on sensor 2. Nevertheless, the signal curve points in time Dependency and what can be gained at any time Frequency spectrum a particularly characteristic course on. It has been shown that the frequency spectrum is special is characteristic.

    In FIG 4 ist in einem Diagramm mit den Koordinaten für die Zeit t und für das Frequenzspektrum über die Frequenz f und für die Amplitude der Spannung u die Transformation eines zeitlichen Signalverlaufs in das jeweilige Frequenzspektrum in einem Zeitraster R1 bis R101 veranschaulicht. Die Abtastrate zur Gewinnung der zeitlichen Rasterpunkte liegt nach einem Beispiel bei 50 ms. Die Brennweite der Optik 1 liegt in diesem Beispiel bei 6 mm. Es wurden die Frequenzspektren nach FIG 4 erzielt.4 is a diagram with the coordinates for the Time t and for the frequency spectrum over the frequency f and for the amplitude of the voltage u the transformation of a temporal signal curve in the respective frequency spectrum illustrated in a time grid R1 to R101. The sampling rate to obtain the temporal grid points lies after an example at 50 ms. The focal length of the optics 1 is in this example at 6 mm. The frequency spectra were after FIG 4 achieved.

    Nach FIG 5 weist der Frequenztransformator 11 eine Signalabtasteinrichtung 12 und eine Einrichtung 13 zur Umsetzung in Frequenzspektren auf. Die Frequenzspektren werden einem Vergleicher 14 zugeführt, in dessen Speicher zu typischen zeitlichen Signalverlaufen für Störung, Bewegung und Burst typische Frequenzspektren abgespeichert sind. Das empfangene Signal wird mit dem abgespeicherten Signal verglichen und einem Typ zugeordnet.According to FIG. 5, the frequency transformer 11 has a signal sampling device 12 and a device 13 for implementation in Frequency spectra. The frequency spectra become a comparator 14 supplied, in its memory at typical time Typical waveforms for disturbance, movement and burst Frequency spectra are stored. The received signal is compared with the stored signal and one Type assigned.

    Das Verfahren beruht auf der Auswertung des Spektrums eines verstärkten Signals eines Sensors 2. Durch die Transformation vom Zeitbereich in den Frequenzbereich werden Spektralverteilungen erzielt, beispielsweise nach FIG 4, die man einer Amplitudennormierung unterziehen kann. Die Spektralverteilung kann dann mit typischen gespeicherten Spektralverteilungen verglichen werden. Es hat sich eine ausreichende Ähnlichkeit mit typischen Spektralverteilungen gezeigt. Störungen lassen sich gut unterdrucken, da jeder Typ von Störung eine besondere Spektralverteilung aufweist, die man erkennen kann und wofür man eine weitere Auswertung abbrechen kann. Allgemein kann man sagen, daß Luftbewegungen in ihrem Signalverlauf niederfrequent betont sind und daß ein Burst ein besonders gleichförmiges Spektrum aufweist. So erzeugen beispielsweise Leuchtstofflampen Bursts, wobei von Leuchtstofflampen elektromagnetische Störungen ausgehen. Zugeordnete Störsignale sollen nach den Vorschriften über die elektromagnetische Verträglichkeit, beispielsweise EMV-Norm IEC801 Teil 4, nicht zu Beeinträchtigungen führen. Andererseits soll nach den Bestimmungen über die EMV-Verträglichkeit auch das Aussenden von Störungen vermieden werden.The method is based on the evaluation of the spectrum of a amplified signal from a sensor 2. Through the transformation spectral distributions become from the time domain to the frequency domain achieved, for example according to FIG 4, which one Can undergo amplitude normalization. The spectral distribution can then with typical stored spectral distributions be compared. It has a sufficient similarity shown with typical spectral distributions. Leave interference suppress yourself well, as each type of disturbance is a special one Has spectral distribution that can be seen and for what you can cancel another evaluation. General one can say that air movements in their waveform are emphasized low frequency and that a burst is a special one has a uniform spectrum. For example, generate Fluorescent bursts, being fluorescent of fluorescent Run out of disturbances. Assigned interference signals according to the regulations on electromagnetic compatibility, for example EMC standard IEC801 part 4, not to Lead to impairments. On the other hand, according to the provisions the emission of. via EMC compatibility Disruptions can be avoided.

    Eine Variation der Abtastrate und der Anzahl der in Betracht zu ziehenden Werte ermöglicht es, das Verfahren und einen Bewegungsmelder an die gegebene Optik anzupassen. Die Abtastrate sollte in einem vernünftigen Verhältnis zur Bandbreite des Verstärkers liegen.A variation in the sampling rate and the number of considered values to be drawn allows the method and a motion detector to adapt to the given optics. The sampling rate should be in reasonable proportion to the bandwidth of the Amplifier.

    Claims (7)

    Verfahren zum Auswerten eines Signals eines Bewegungsmelders (16), insbesondere eines Passiv-Infrarot-Bewegungsmelders, bei dem ein für eine erfaßte Änderung charakteristischer Signalverlauf erzeugt wird, wobei das Frequenzspektrum (15) aus dem zeitlichen Signalverlauf mit abgespeicherten, für bestimmte Änderungen typischen Frequenzspektren verglichen wird.Method for evaluating a signal from a motion detector (16), in particular a passive infrared motion detector, where a characteristic of a detected change Signal waveform is generated, the frequency spectrum (15) from the temporal signal curve with stored, frequency spectra typical for certain changes becomes. Verfahren nach Anspruch 1,
    dadurch gekennzeichnet,
    daß das Frequenzspektrum (15) zu einem Zeitpunkt eines Signalverlaufs einer Amplitudennormierung unterzogen wird und danach mit abgespeicherten Frequenzspektren verglichen wird.    Method according to claim 1,
    characterized by
    that the frequency spectrum (15) is subjected to an amplitude normalization at a point in time of a signal curve and is then compared with stored frequency spectra.         Verfahren nach Anspruch 1 oder 2,
    dadurch gekennzeichnet,
    daß das jeweilige Ergebnis des Vergleichs auf Übereinstimmung mit den abgespeicherten Frequenzspektren als Ergebnissignal für Anzeige oder Weiterverarbeitung bereitgestellt wird.    The method of claim 1 or 2,
    characterized by
    that the respective result of the comparison on agreement with the stored frequency spectra is provided as a result signal for display or further processing.         Bewegungsmelder, der zur Bewegung von erfaßbaren Objekten einen charakteristischen Signalverlauf erzeugt,
    dadurch gekennzeichnet,
    daß einem Frequenztransformator (11) zur Bildung von Frequenzspektren über den zeitlichen Signalverlauf mit angeschlossenem Amplitudennormierer ein Vergleicher (14) mit Speicher nachgeschaltet ist.    Motion detector that generates a characteristic signal curve for the movement of detectable objects,
    characterized by
    that a frequency transformer (11) for forming frequency spectra over the temporal signal curve with connected amplitude normalizer is followed by a comparator (14) with memory.         Bewegungsmelder nach Anspruch 4,
    dadurch gekennzeichnet,
    daß am Ergebnisausgang des Vergleichers Ergebnissignale für Anzeige- oder zur Weiterverarbeitung bereitgestellt sind.     Motion detector according to claim 4,
    characterized by
    that result signals for display or for further processing are provided at the result output of the comparator.         Bewegungsmelder nach Anspruch 4,
    dadurch gekennzeichnet,
    daß der Frequenztransformator (11) dafür eingerichtet ist, ein analoges Signal über einen zeitlichen Signalverlauf zu nacheinanderfolgenden Zeiten das Frequenzspektrum (15) zum jeweiligen Signalzeitpunkt zu bilden.    Motion detector according to claim 4,
    characterized by
    that the frequency transformer (11) is set up to form an analog signal over a temporal signal curve at successive times, the frequency spectrum (15) at the respective signal instant.         Bewegungsmelder nach Anspruch 6,
    dadurch gekennzeichnet,
    daß der Frequenztransformator (11) eine Signalabtasteinrichtung (12) und eine Einrichtung (13) zur Umwandlung in Frequenzspektren aufweist.    Motion detector according to claim 6,
    characterized by
    that the frequency transformer (11) has a signal sampling device (12) and a device (13) for conversion into frequency spectra.
    EP96120641A 1996-12-20 1996-12-20 Method for evaluating a signal of a motion detector Expired - Lifetime EP0849714B1 (en)

    Priority Applications (4)

    Application Number Priority Date Filing Date Title
    AT96120641T ATE216524T1 (en) 1996-12-20 1996-12-20 METHOD FOR EVALUating A SIGNAL FROM A MOTION DETECTOR AND MOTION DETECTOR
    DK96120641T DK0849714T3 (en) 1996-12-20 1996-12-20 Method for analyzing a signal from a motion detector and motion detector
    DE59609097T DE59609097D1 (en) 1996-12-20 1996-12-20 Method for evaluating a signal from a motion detector and motion detector
    EP96120641A EP0849714B1 (en) 1996-12-20 1996-12-20 Method for evaluating a signal of a motion detector

    Applications Claiming Priority (1)

    Application Number Priority Date Filing Date Title
    EP96120641A EP0849714B1 (en) 1996-12-20 1996-12-20 Method for evaluating a signal of a motion detector

    Publications (2)

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    EP0849714A1 true EP0849714A1 (en) 1998-06-24
    EP0849714B1 EP0849714B1 (en) 2002-04-17

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    EP96120641A Expired - Lifetime EP0849714B1 (en) 1996-12-20 1996-12-20 Method for evaluating a signal of a motion detector

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    EP (1) EP0849714B1 (en)
    AT (1) ATE216524T1 (en)
    DE (1) DE59609097D1 (en)
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    Cited By (3)

    * Cited by examiner, † Cited by third party
    Publication number Priority date Publication date Assignee Title
    WO2008116767A3 (en) * 2007-03-28 2009-02-12 Thales Holdings Uk Plc A motion classification device
    CN107067608A (en) * 2017-05-19 2017-08-18 中国电子科技集团公司第四十研究所 A kind of effective vibrational waveform intercept method based on three-level threshold determination
    WO2019105891A1 (en) * 2017-12-01 2019-06-06 Zumtobel Lighting Gmbh Motion detection of objects by means of motion sensors

    Families Citing this family (1)

    * Cited by examiner, † Cited by third party
    Publication number Priority date Publication date Assignee Title
    DE102004048995A1 (en) * 2004-10-04 2006-04-13 Siemens Ag Earth atmosphere penetrating cosmic object detection procedure compares infrared sensor temperature images with and without cosmic object

    Citations (3)

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    Publication number Priority date Publication date Assignee Title
    EP0107042A1 (en) * 1982-10-01 1984-05-02 Cerberus Ag Infrared detector for spotting an intruder in an area
    GB2201770A (en) * 1987-01-15 1988-09-07 Racal Guardall Security sensors
    EP0706142A2 (en) * 1994-09-30 1996-04-10 Sensormatic Electronics Corporation Method and apparatus for detecting an EAS marker using wavelet transform signal processing

    Patent Citations (3)

    * Cited by examiner, † Cited by third party
    Publication number Priority date Publication date Assignee Title
    EP0107042A1 (en) * 1982-10-01 1984-05-02 Cerberus Ag Infrared detector for spotting an intruder in an area
    GB2201770A (en) * 1987-01-15 1988-09-07 Racal Guardall Security sensors
    EP0706142A2 (en) * 1994-09-30 1996-04-10 Sensormatic Electronics Corporation Method and apparatus for detecting an EAS marker using wavelet transform signal processing

    Cited By (4)

    * Cited by examiner, † Cited by third party
    Publication number Priority date Publication date Assignee Title
    WO2008116767A3 (en) * 2007-03-28 2009-02-12 Thales Holdings Uk Plc A motion classification device
    GB2447940B (en) * 2007-03-28 2012-04-04 Thales Holdings Uk Plc A motion classification device
    CN107067608A (en) * 2017-05-19 2017-08-18 中国电子科技集团公司第四十研究所 A kind of effective vibrational waveform intercept method based on three-level threshold determination
    WO2019105891A1 (en) * 2017-12-01 2019-06-06 Zumtobel Lighting Gmbh Motion detection of objects by means of motion sensors

    Also Published As

    Publication number Publication date
    ATE216524T1 (en) 2002-05-15
    EP0849714B1 (en) 2002-04-17
    DK0849714T3 (en) 2002-08-12
    DE59609097D1 (en) 2002-05-23

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