EP0849714B1 - Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder - Google Patents

Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder Download PDF

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Publication number
EP0849714B1
EP0849714B1 EP96120641A EP96120641A EP0849714B1 EP 0849714 B1 EP0849714 B1 EP 0849714B1 EP 96120641 A EP96120641 A EP 96120641A EP 96120641 A EP96120641 A EP 96120641A EP 0849714 B1 EP0849714 B1 EP 0849714B1
Authority
EP
European Patent Office
Prior art keywords
signal
motion detector
frequency
stored
frequency spectra
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
Application number
EP96120641A
Other languages
German (de)
English (en)
French (fr)
Other versions
EP0849714A1 (de
Inventor
Dipl.-Ing. Tomic. Petar
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Siemens AG, Siemens Corp filed Critical Siemens AG
Priority to EP96120641A priority Critical patent/EP0849714B1/de
Priority to AT96120641T priority patent/ATE216524T1/de
Priority to DK96120641T priority patent/DK0849714T3/da
Priority to DE59609097T priority patent/DE59609097D1/de
Publication of EP0849714A1 publication Critical patent/EP0849714A1/de
Application granted granted Critical
Publication of EP0849714B1 publication Critical patent/EP0849714B1/de
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL 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 SYSTEMS, e.g. PERSONAL 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.
  • EP-A-107 042 describes a method and a motion detector known, in which the signal of the detector with stored reference signals is compared.
  • 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.
  • Figure 1 is a standard circuit of optics, sensors, amplifiers and evaluation circuit illustrated.
  • FIG 3 shows the signal curve in a diagram in the manner of FIG 2 shown for disturbances, left for drafts and right for a disturbance in the form of a so-called burst.
  • FIG. 4 shows the implementation of the temporal signal curve in illustrates a frequency spectrum at successive times.
  • FIG. 5 shows an assembly for a motion detector, consisting of a frequency transformer, Signal sampling device and a device for implementation in frequency spectra, with connected comparator, with a memory works in which typical frequency spectra for each typical temporal signal curve stored are.
  • 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.
  • Leave interference suppress each other well because each type of disorder is a special one Has spectral distribution that can be seen and for what you can cancel another evaluation.
  • 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.
  • 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)
  • Color Television Systems (AREA)
  • Details Of Television Scanning (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)
EP96120641A 1996-12-20 1996-12-20 Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder Expired - Lifetime EP0849714B1 (de)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP96120641A EP0849714B1 (de) 1996-12-20 1996-12-20 Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder
AT96120641T ATE216524T1 (de) 1996-12-20 1996-12-20 Verfahren zum auswerten eines signals eines bewegungsmelders und bewegungsmelder
DK96120641T DK0849714T3 (da) 1996-12-20 1996-12-20 Fremgangsmåde til analyse af et signal fra en bevægelsesmelder og bevægelsesmelder
DE59609097T DE59609097D1 (de) 1996-12-20 1996-12-20 Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP96120641A EP0849714B1 (de) 1996-12-20 1996-12-20 Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder

Publications (2)

Publication Number Publication Date
EP0849714A1 EP0849714A1 (de) 1998-06-24
EP0849714B1 true EP0849714B1 (de) 2002-04-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP96120641A Expired - Lifetime EP0849714B1 (de) 1996-12-20 1996-12-20 Verfahren zum Auswerten eines Signals eines Bewegungsmelders und Bewegungsmelder

Country Status (4)

Country Link
EP (1) EP0849714B1 (da)
AT (1) ATE216524T1 (da)
DE (1) DE59609097D1 (da)
DK (1) DK0849714T3 (da)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004048995A1 (de) * 2004-10-04 2006-04-13 Siemens Ag Verfahren zur Erfassung eines in die Erdatmosphäre eingetretenen kosmischen Objektes

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2447940B (en) * 2007-03-28 2012-04-04 Thales Holdings Uk Plc A motion classification device
RU2381522C2 (ru) * 2008-03-25 2010-02-10 Михаил Иванович Голубев Беспороговый способ обнаружения сигнальной информации
CN107067608B (zh) * 2017-05-19 2019-03-05 中国电子科技集团公司第四十一研究所 一种基于三级阈值判定的有效振动波形截取方法
DE102017221656A1 (de) * 2017-12-01 2019-06-06 Zumtobel Ag Bewegungserfassung von Objekten mittels Bewegungsmelder

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0107042B1 (de) * 1982-10-01 1987-01-07 Cerberus Ag Infrarot-Detektor zur Feststellung eines Eindringlings in einen Raum
GB2201770B (en) * 1987-01-15 1990-11-14 Racal Guardall Security sensors
US6310963B1 (en) * 1994-09-30 2001-10-30 Sensormatic Electronics Corp Method and apparatus for detecting an EAS (electronic article surveillance) marker using wavelet transform signal processing

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004048995A1 (de) * 2004-10-04 2006-04-13 Siemens Ag Verfahren zur Erfassung eines in die Erdatmosphäre eingetretenen kosmischen Objektes

Also Published As

Publication number Publication date
DK0849714T3 (da) 2002-08-12
ATE216524T1 (de) 2002-05-15
DE59609097D1 (de) 2002-05-23
EP0849714A1 (de) 1998-06-24

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