EP0646901B1 - Procédé de traitement des signaux d'un détecteur passif à infrarouge et détecteur infrarouge pour la mise en oeuvre du procédé - Google Patents

Procédé de traitement des signaux d'un détecteur passif à infrarouge et détecteur infrarouge pour la mise en oeuvre du procédé Download PDF

Info

Publication number
EP0646901B1
EP0646901B1 EP94113876A EP94113876A EP0646901B1 EP 0646901 B1 EP0646901 B1 EP 0646901B1 EP 94113876 A EP94113876 A EP 94113876A EP 94113876 A EP94113876 A EP 94113876A EP 0646901 B1 EP0646901 B1 EP 0646901B1
Authority
EP
European Patent Office
Prior art keywords
pulses
data
fuzzy
signals
pulse
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
EP94113876A
Other languages
German (de)
English (en)
Other versions
EP0646901A1 (fr
Inventor
Peter Stierli
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 Building Technologies AG
Original Assignee
Siemens Building Technologies AG
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 Building Technologies AG filed Critical Siemens Building Technologies AG
Publication of EP0646901A1 publication Critical patent/EP0646901A1/fr
Application granted granted Critical
Publication of EP0646901B1 publication Critical patent/EP0646901B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Classifications

    • 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 present invention relates to a method for processing the signals of a passive Infrared detector, which depends on an incident infrared radiation in the following generates electrical signals referred to as sensor signals and then evaluates them, wherein the sensor signals are digitized and processed in the form of pulses, their evaluation by means of fuzzy logic (7), the data being a series of several Pulses are compared with rules stored in the form of linguistic variables,
  • Detection systems are also known in which the sensor signal is continuous with a Set of stored reference patterns compared and an alarm if there is sufficient correlation is triggered. Although these systems are very reliable and sensitive, they do require a high numerical effort. And that means that in the detector to provide the necessary storage capacity and performance a large and thus expensive processor can be provided got to.
  • JP-A-50 018 827 The signals from an infrared detector are processed with fuzzy logic, the body Presence of a human body is then assumed if that from the infrared detector measured temperature is in the range of a person's body temperature. Not to mention of the fact that it is difficult to absolute temperature at a distance of several meters in a clothed person essentially the temperature of his Clothes and not those of his body, but in the case of a coat the clothes rather Will have room temperature as body temperature. For this reason, this is known device unsuitable for use as intrusion detector.
  • the invention is now to provide a method of the type mentioned at the beginning a good discrimination of the strongly overlapping classes of interference signals on the one hand and intrusion signals on the other hand, with a high detection power and in particular also in the peripheral surveillance area.
  • a simple evaluation possible with little numerical effort and realizable with a simple microcontroller be.
  • this object is achieved in that the pulses are characterized by data are used, with the amplitude and / and / or or duration can be used and that to convert the digitized sensor signals into Pulse the course of the signals is examined, and at a certain distance of the signal from a pulse start is set in its rest position and a pulse end is set on returning to the rest position.
  • the invention further relates to an infrared detector for carrying out the method mentioned, with at least one sensor element for generating the sensor signals and with an evaluation circuit for their processing and evaluation, which contains a fuzzy controller to which the Pulse data are supplied, characterized in that the fuzzy controller has a rule base and contains an inference machine and forms part of a microcontroller which has a pulse processing stage for processing the digitized sensor signals in pulses and for storing the contains the data describing pulses.
  • a pulse begins when the signal is in the positive or negative direction away from the rest position and it ends when it returns to the rest position. They will be the ones Pulse-characterizing data, such as amplitude, duration, polarity, distance and the like, are stored, and there is always a pulse data series for the evaluation, that is the data of one Series of successive pulses.
  • fuzzy logic instead of strict classic logic for signal evaluation has the advantage that the rules for evaluation are based on an empirical Knowledge base that can be used in classic analytical algorithms only would be much more cumbersome and complex to implement.
  • the pulse data series of a number always stands for the examination for alarm plausibility past pulses are available, the criteria for triggering the alarm in Form of fuzzy links of the previously fuzzified, that is, in linguistic Variable transformed, pulse data are formulated.
  • the criteria include in linguistic form a knowledge base about the assignment of a pulse series to the class Burglary or disruption, the content of the knowledge base being the entirety of the observation of countless walking tests obtained and those made with interference signals Represents experiences.
  • fuzzy sets that are by definition out of focus deliver an equally blurred result, whose defuzzification provides a sharp decision for or against an alarm.
  • the rules in linguistic form in the microcontroller of the evaluation circuit need minimal memory requirements.
  • the fuzzification and defuzzification So the conversion of sharp numbers into fuzzy areas, or the Obtaining clear or sharp statements from fuzzy areas, numerically much less demanding than the processing of classic rules.
  • an IR detector contains a sensor element 1, which has an associated optics 2 of a certain focal length with IR radiation from the room to be monitored and depending on the Level of the incident radiation, hereinafter referred to as the sensor signal emits electrical signal.
  • the use of a single sensor element 1 is not to understand restrictively; it can of course also be two or more Sensor elements may be provided.
  • the sensor signal is from an amplifier 3 amplified, and its output signal is fed to an analog / digital converter 4 and after digitization takes place in a pulse processing stage 5, the part a microcontroller 6 forms.
  • the microcontroller 6 also contains one Fuzzy controller 7.
  • the digitized sensor signals are first in the Data rate greatly reduced by storing them as "pulses".
  • pulse By definition, begins when the signal is positive or negative Direction far enough from the rest position, and it ends at the Return to the rest position.
  • Each pulse is characterized by data such as Amplitude, duration, polarity, distance and the like are described and this data are saved.
  • the optics 2 contains a mirror system in a known manner, which is a variety of corresponds to optical bundling means and the IR radiation from a variety of fan-like radiation reception areas focused on sensor 1 (see for example GB-A-2 047 886 or EP-A-0 361 224). These radiation receiving areas are discrete zones, one passing through such a zone Object a positive sensor signal when entering and a negative sensor signal when leaving causes, both together give a characteristic signal. Such a thing The signal can be, for example, small positive, large positive, large negative through the pulses and described as small negative within a certain period of time. In the The pulses derived from the sensor signal are then evaluated examines whether they are of a type and characteristic of the intrusion of a person Have configuration, always a group of several successive Pulse is examined.
  • the digitized Sensor signal generally obtained a maximum of three, a maximum of four, such pulses so that it does not make sense to examine more than four pulses.
  • the procedure in this investigation is such that the last four pulses are always used are stored and examined, the examination being carried out in the fuzzy controller 7 he follows
  • the fuzzy controller 7 contains a rule base 8 in a known manner, an inference engine 9, a process interface 10, and an action interface 11 whose output is monitored when an unwanted intruder is detected in the An alarm signal AS is available in the room.
  • the fuzzy logic the meantime extensive literature on this subject referred to, for example, the Book “Fuzzy Set Theory and its Applications” by H.-J. Carpenter, Kluwer Academic Publishers, 1991.
  • the rule base 8 contains a set of linguistic rules for the in a known manner Evaluation of the pulses. Based on these rules, an algorithm is constructed where the values are defined as so-called fuzzy sets, which are fuzzy sets are. Linguistic variables are words and expressions of everyday language or a natural language. These variables should be the natural language values Expressions (small, medium, large) can take, these expressions There are names for the fuzzy sets mentioned.
  • the rules of fuzzy logic like classic logic, consist of one Condition or premise part and from a conclusion part.
  • the condition part is in Fig. 2 by the process interface 10 and the conclusion part symbolized by the action interface 11.
  • the inference machine 9 links the Direction of influence and the strength of the current states in the fuzzy sets due to of empirical technological knowledge.
  • Rule 3 shows a graphical representation with a typical fuzzy rule Basics of a fuzzy controller.
  • A, B and C are input variables, X are output variables.
  • the sentence beginning with "if” is the condition part, the part that starts with "then” is the conclusion part.
  • fuzzy sets or fuzzy sets are the central concept of fuzzy logic the membership of elements in a fuzzy set by the so-called membership or membership function is defined. While with sharp quantities one One, which means belonging and a zero not belonging, are in the fuzzy sets as values for the membership function not just zero or one, but any Values in between allowed.
  • fuzzification The conversion of sharp numbers to fuzzy amounts is called fuzzification designated.
  • Each has an input variable, which is in practice, for example a sensor signal, at least one function depicted as a matrix. x-scaling this function has a numerical equivalent in the respective sensor signal, and the y-scale corresponds to the truthfulness or degree of approximation the corresponding statement and can take any value from 0 to 1. That degree the approximation is calculated by the membership function.
  • a suitable operator is used for the statements in the condition section searched for a size for the membership values; this size is the minimum value the membership function, then the operator is the minimum operator as in FIG. 3 and this in turn is the average of the two fuzzy sets for the input variables A and B.
  • the result of the conclusion of the two rules 1 and 2 is the average of the fuzzy sets for A and B or B and C.
  • the unsharp one supplied by the inference machine 9 (FIG. 2) then becomes Result a sharp output size is calculated, for example, by The center of gravity of the synthetic membership function is calculated.
  • IR detectors enables good and clean Separation between intrusion and interference signals with high detection performance.
  • very noisy sensor signals and signals from the peripheral monitoring area can be clearly evaluated.
  • By saving of the sensor signals in the form of pulses results in a strong reduction in the Memory requirements, especially those for the rules in linguistic form.
  • the fuzzification and defuzzification are numerically relatively undemanding are and require little effort, even with a simple Microcontroller is realizable.
  • fuzzy logic typical of fuzzy logic makes it unlikely that a signal discarded due to a narrowly missed condition becomes.
  • the processing described corresponds rather to the very different and fuzzy Intrusion signals.
  • the algorithm is based on the fuzzy formulation Simple and transparent core. As soon as it is written, it also applies to itself changing framework conditions, in which case only a few constants are changed must be (so-called parameterization). The constants are due to Trials and simulations optimized.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Feedback Control In General (AREA)
  • Burglar Alarm Systems (AREA)

Claims (6)

  1. Procédé pour le traitement des signaux d'un détecteur passif à infrarouge qui produit en fonction d'un rayonnement infrarouge incident des signaux électriques appelés ci-dessous signaux de capteur et qui les exploite ensuite, les signaux de capteur étant numérisés et traités sous la forme d'impulsions dont l'exploitation s'effectue au moyen d'une logique floue (7), les données d'une série de plusieurs impulsions étant comparées avec des règles mémorisées sous forme de variables linguistiques, caractérisé par le fait qu'on caractérise les impulsions par des données, l'amplitude et/ou la durée des impulsions étant utilisées comme données caractérisantes pour la description de ces impulsions, qu'on examine l'allure des signaux pour la transformation des signaux de capteur numérisés en impulsions et qu'on positionne un début d'impulsion pour un écart déterminé entre le signal et sa position de repos et une fin d'impulsion pour le retour dans la position de repos.
  2. Procédé selon la revendication 1, caractérisé par le fait qu'on utilise comme données caractérisantes pour la description des impulsions la polarité et/ou l'écart mutuel de celles-ci.
  3. Procédé selon la revendication 1 ou 2, caractérisé par le fait qu'on compare à chaque fois les données des n dernières impulsions successives avec les règles mémorisées, la valeur n étant comprise entre 2 et 4 et valant de préférence 3.
  4. Détecteur à infrarouge pour la mise en oeuvre du procédé selon la revendication 1, comportant au moins un élément capteur qui est destiné à la production des signaux de capteur et un circuit d'exploitation qui est destiné au traitement et à l'exploitation de ces signaux de capteur et qui contient un contrôleur flou (7) auquel les données d'impulsions sont envoyées, caractérisé par le fait que le contrôleur flou (7) contient une base de règles (8) et un moteur d'inférence (9) et qu'il fait partie d'un microcontrôleur (6) qui contient un étage de traitement d'impulsions (5) pour le traitement des signaux de capteur numérisés en vue d'obtenir des impulsions et pour la mémorisation des données décrivant l'amplitude et/ou la durée des impulsions.
  5. Détecteur à infrarouge selon la revendication 4, caractérisé par le fait que les règles mémorisées dans la base de règles (8) du contrôleur flou (7) sont telles que leur partie formant condition contient des références au nombre et aux données d'impulsions et à l'intervalle de temps de l'apparition des impulsions.
  6. Détecteur à infrarouge selon la revendication 4 ou 5, caractérisé par le fait que le moteur d'inférence (9) du contrôleur flou comporte comme opérateur une fonction ET-FLOU.
EP94113876A 1993-10-04 1994-09-05 Procédé de traitement des signaux d'un détecteur passif à infrarouge et détecteur infrarouge pour la mise en oeuvre du procédé Expired - Lifetime EP0646901B1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CH297593 1993-10-04
CH2975/93 1993-10-04
CH02975/93A CH686805A5 (de) 1993-10-04 1993-10-04 Verfahren zur Verarbeitung der Signale eines passiven Infrarot-Detektors und Infrarot-Detektor zur Durchfuehrung des Verfahrens.

Publications (2)

Publication Number Publication Date
EP0646901A1 EP0646901A1 (fr) 1995-04-05
EP0646901B1 true EP0646901B1 (fr) 1999-10-27

Family

ID=4245848

Family Applications (1)

Application Number Title Priority Date Filing Date
EP94113876A Expired - Lifetime EP0646901B1 (fr) 1993-10-04 1994-09-05 Procédé de traitement des signaux d'un détecteur passif à infrarouge et détecteur infrarouge pour la mise en oeuvre du procédé

Country Status (7)

Country Link
EP (1) EP0646901B1 (fr)
JP (1) JPH07159238A (fr)
CA (1) CA2130737A1 (fr)
CH (1) CH686805A5 (fr)
DE (1) DE59408859D1 (fr)
ES (1) ES2139696T3 (fr)
IL (1) IL110760A (fr)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ATE203118T1 (de) * 1994-12-19 2001-07-15 Siemens Building Tech Ag Verfahren und anordnung zum detektieren einer flamme
FR2756401B1 (fr) * 1996-11-28 1999-02-19 Valeo Electronique Procede et dispositif de detection d'intrusion dans un vehicule automobile
DE19709805A1 (de) * 1997-03-10 1998-09-24 Stribel Gmbh Raumüberwachungsgerät
EP1308914B1 (fr) 2001-11-05 2004-08-25 Siemens Building Technologies AG Capteur infrarouge passif
NO322340B1 (no) 2005-05-18 2006-09-18 Idtec Pte Ltd System og fremgangsmate for deteksjon av innbrudd
CN107016813A (zh) * 2017-06-16 2017-08-04 合肥讯邦网络科技有限公司 一种智能信息化安防系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0107042B1 (fr) * 1982-10-01 1987-01-07 Cerberus Ag Détecteur infra-rouge pour déterminer un intrus dans une zone
JPH04256130A (ja) * 1991-02-08 1992-09-10 Nissan Motor Co Ltd ファジィ制御用演算回路
JPH0518827A (ja) * 1991-07-10 1993-01-26 Matsushita Electric Ind Co Ltd 人体検出装置
JPH0552963A (ja) * 1991-08-22 1993-03-02 Matsushita Electric Ind Co Ltd 人体検出装置およびこれを備えた空気調和装置

Also Published As

Publication number Publication date
EP0646901A1 (fr) 1995-04-05
DE59408859D1 (de) 1999-12-02
CH686805A5 (de) 1996-06-28
CA2130737A1 (fr) 1995-04-05
ES2139696T3 (es) 2000-02-16
IL110760A0 (en) 1994-11-11
JPH07159238A (ja) 1995-06-23
IL110760A (en) 1997-02-18

Similar Documents

Publication Publication Date Title
DE2938969C2 (de) Ultraschall-Raumüberwachungssystem nach dem Impuls-Echo-Verfahren
DE3505052C2 (fr)
EP0107042B1 (fr) Détecteur infra-rouge pour déterminer un intrus dans une zone
DE3832428C2 (fr)
DE69434352T2 (de) Vorrichtung und Verfahren zur Datenverarbeitung in einem Rauchmeldesystem
EP0654770B1 (fr) Dispositif pour la détection précoce des incendies
EP0939387A1 (fr) Dispositif pour la surveillance de locaux
DE2012024A1 (de) Verfahren und Vorrichtung zum überwachen bzw. Auswerten von Wellenzügen
DE4430016A1 (de) System und Verfahren zur Bildauswertung
EP0646901B1 (fr) Procédé de traitement des signaux d'un détecteur passif à infrarouge et détecteur infrarouge pour la mise en oeuvre du procédé
DE1791065C1 (de) Wellenformdetektor
EP0750764B1 (fr) Procede et dispositif de regulation a logique floue
CH648129A5 (de) Verfahren und vorrichtung zum ueberwachen der aenderung eines signals.
DE2427328C2 (de) Einbruchsalarmanlage
DE4002829A1 (de) Verfahren zum detektieren von metallgegenstaenden
DE3221997A1 (de) Vorrichtung zum ueberwachen von gepanzerten raeumen, insbesondere von tresoren und kassenschraenken, und zum erzeugen eines alarmsignales, wenn ein einbruchversuch unternommen wird
EP0660282B1 (fr) Système pour la détection de débuts d'incendies
DE3622371C2 (fr)
DE60109442T2 (de) System zum zählen von lebewesen
DE2329580A1 (de) Einbruchsalarmanlage
EP0254813B1 (fr) Procédé de détection pour un détecteur de mouvement passif à infrarouge et dispositif pour la mise-en-oeuvre
DE10113296B4 (de) Verfahren zum Ermitteln eines Pulsanstiegs oder -abfalls und Modul zur statistischen Analyse von Daten
DE3445756A1 (de) Verfahren und vorrichtung zur bilderzeugung
EP0939386A1 (fr) Dispositif de surveillance d'un espace
EP0825573B1 (fr) Procédé et dispositif d'analyse d'un signal d'un capteur de mouvements

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): BE DE ES FR GB IT SE

17P Request for examination filed

Effective date: 19950921

17Q First examination report despatched

Effective date: 19980730

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: SIEMENS BUILDING TECHNOLOGIES AG

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): BE DE ES FR GB IT SE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: THE PATENT HAS BEEN ANNULLED BY A DECISION OF A NATIONAL AUTHORITY

Effective date: 19991027

GBT Gb: translation of ep patent filed (gb section 77(6)(a)/1977)

Effective date: 19991027

REF Corresponds to:

Ref document number: 59408859

Country of ref document: DE

Date of ref document: 19991202

ITF It: translation for a ep patent filed

Owner name: JACOBACCI & PERANI S.P.A.

ET Fr: translation filed
REG Reference to a national code

Ref country code: ES

Ref legal event code: FG2A

Ref document number: 2139696

Country of ref document: ES

Kind code of ref document: T3

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

26N No opposition filed
REG Reference to a national code

Ref country code: GB

Ref legal event code: IF02

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: ES

Payment date: 20061024

Year of fee payment: 13

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20070926

Year of fee payment: 14

Ref country code: BE

Payment date: 20070918

Year of fee payment: 14

REG Reference to a national code

Ref country code: FR

Ref legal event code: TP

Ref country code: FR

Ref legal event code: CD

REG Reference to a national code

Ref country code: ES

Ref legal event code: FD2A

Effective date: 20070906

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20070906

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20081121

Year of fee payment: 15

BERE Be: lapsed

Owner name: *SIEMENS BUILDING TECHNOLOGIES A.G.

Effective date: 20080930

REG Reference to a national code

Ref country code: GB

Ref legal event code: 732E

Free format text: REGISTERED BETWEEN 20090514 AND 20090520

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20080930

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20080905

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20090910

Year of fee payment: 16

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: DE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20100401

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20100905

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20110531

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20100930

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20100905

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20091008

Year of fee payment: 16