KR101616790B1 - Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal - Google Patents

Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal Download PDF

Info

Publication number
KR101616790B1
KR101616790B1 KR1020150045444A KR20150045444A KR101616790B1 KR 101616790 B1 KR101616790 B1 KR 101616790B1 KR 1020150045444 A KR1020150045444 A KR 1020150045444A KR 20150045444 A KR20150045444 A KR 20150045444A KR 101616790 B1 KR101616790 B1 KR 101616790B1
Authority
KR
South Korea
Prior art keywords
signal
pir
ripples
unit
calculated
Prior art date
Application number
KR1020150045444A
Other languages
Korean (ko)
Inventor
김이형
김주엽
안미림
임병욱
오원석
Original Assignee
국방과학연구소
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 국방과학연구소 filed Critical 국방과학연구소
Priority to KR1020150045444A priority Critical patent/KR101616790B1/en
Application granted granted Critical
Publication of KR101616790B1 publication Critical patent/KR101616790B1/en

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02—Constructional details
    • G01J5/026—Control of working procedures of a pyrometer, other than calibration; Bandwidth calculation; Gain control
    • G01J2005/0048—

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The present invention relates to a sensor system capable of separating a background noise and a human movement signal from a PIR sensor signal and a signal separation method thereof. According to an embodiment of the present invention, there is provided a sensor system including: a PIR signal collecting unit for collecting a passive infrared (PIR) signal from infrared rays input from the outside; An RV calculation unit for calculating, from the collected PIR signals, a number of ripples (RVs) defined as a shake of a signal; And a signal separator for comparing a number of the calculated ripples with a threshold value for a predetermined number of ripples and separating a human movement signal from the collected PIR signal.

Description

TECHNICAL FIELD [0001] The present invention relates to a sensor system for separating a background noise and a human movement signal from a PIR sensor signal, and a method of separating the background noise and a human movement signal from the PIR sensor signal.

The present invention relates to a sensor system capable of separating a background noise and a human movement signal from a PIR sensor signal and a signal separation method thereof.

Unattended Ground Sensor (UGS) has been continuously studied in Korea and abroad for monitoring surveillance in the area of interest. Studies on the sensor network configuration and identification of targets have been underway.

PIR (Passive Infrared) sensor, which is used in Surveillance Reconnaissance Sensor Network (SRSN) using UGS, is a sensor that detects the temperature change of the area of interest. . With these sensors, you can remotely monitor an area of interest in an area that is difficult for a person to directly observe for a long time. Accordingly, the monitoring personnel can be efficiently operated.

However, when the PIR sensor is operated in the outdoors, the fluctuation of the surrounding environment due to the wind causes the temperature change, and this temperature change is a main cause of the false detection result due to the background noise. The false detection message increases the traffic of the sensor network and causes a problem of lowering the detection reliability.

An object of the present invention is to provide a sensor system and a signal separation method thereof that can reduce the false detection result of human movement by separating the background noise and the human movement signal from the PIR sensor signal.

According to an aspect of the present invention, there is provided a PIR signal collecting unit for collecting a passive infrared (PIR) signal from infrared rays input from the outside; An RV calculation unit for calculating, from the collected PIR signals, a number of ripples (RVs) defined as a shake of a signal; And a signal separator for comparing a number of the calculated ripples with a threshold value for a predetermined number of ripples and separating a human movement signal from the collected PIR signal. System.

In an exemplary embodiment, the PIR signal collecting unit may include: a PIR sensor unit for collecting the infrared signal; A signal acquisition (ADC) board for converting the collected infrared signals into digital signals; And a signal storage unit for storing the PIR signal converted into the digital signal.

In an embodiment, the RV calculation unit may calculate the number of the ripples during an RCP (Ripple Count Period) which is a preset time interval.

In an embodiment, the signal separator may separate the human movement signal when the number of calculated ripples is smaller than the threshold value.

In an embodiment, the signal separator may separate the background noise signal if the number of calculated ripples is greater than or equal to the threshold value.

According to another aspect of the present invention, there is provided a method of generating a PIR signal, comprising the steps of: (a) collecting a passive infrared (PIR) signal from infrared rays input from the outside by a PIR signal collector; (b) calculating a number of ripples (RVs) defined as a shake of the signal from the collected PIR signal by the RV calculating unit; And (c) separating a human movement signal from the collected PIR signal by comparing a number of the calculated ripples with a threshold value of a predetermined number of ripples by a signal separation unit, and And a signal separation method.

In one embodiment of the present invention, the step (a) includes: collecting the infrared signal by a PIR sensor unit; Converting the collected infrared signal into a digital signal by a signal acquisition (ADC) board; And a PIR signal converted into the digital signal is stored in a signal storage unit.

In an embodiment, the step (b) may include calculating the number of ripples during an RCP (Ripple Count Period), which is a preset time interval, by the RV calculation unit.

In the embodiment, the step (c) may include separating the human movement signal by the signal separation unit if the calculated number of ripples is smaller than the threshold value.

In the embodiment, the step (c) may include separating the background noise signal into a background noise signal if the calculated number of ripples is greater than or equal to the threshold value.

According to the present invention, it is possible to reduce the false detection result on the human movement detection through the PIR sensor in the presence of background noise, and it is expected that traffic reduction and detection reliability of the sensor network can be improved.

1 is a block diagram showing an embodiment of a sensor system according to the present invention.
2 is a block diagram showing a specific embodiment of the PIR signal collecting unit described in FIG.
3 is a flowchart showing an embodiment of a signal separation method according to the present invention.
FIG. 4 is a flowchart showing a specific embodiment of the PIR signal collection step described in FIG.
5 is a graph showing an embodiment in which signals are separated by the signal separation method according to the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings so that those skilled in the art can easily carry out the technical idea of the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly explain the present invention, parts not related to the description are omitted, and like parts are denoted by similar reference numerals throughout the specification.

1 is a block diagram showing an embodiment of a sensor system according to the present invention.

Referring to FIG. 1, a sensor system 100 according to the present invention includes a PIR signal collecting unit 110, an RV calculating unit 120, and a signal separating unit 130.

The PIR signal collecting unit 110 can collect a PIR (Passive Infrared) signal from infrared rays input from the outside.

As an embodiment, the PIR signal acquisition unit 110 can set the sampling frequency of the PIR signal acquisition and the accuracy of the signal level. Specifically, a sampling frequency of 50 Hz or more and a precision higher than a specific V value can be used.

The RV calculation unit 120 may calculate a number of Ripple Values (RVs) defined as a shake of a signal from the collected PIR signals.

As an embodiment, the RV calculation unit 120 may calculate the number of ripples RV during RCP (Ripple Count Period), which is a preset time interval. That is, it is possible to analyze the shaking of the signal in the signal of the predetermined time interval. Specifically, the ripple number of the signal can be measured in a time interval of 0.1 second or more. As described above, the method of measuring the number of signal ripples in the RCP time interval can be defined as Ripple Count.

The signal separator 130 may separate the human movement signal from the collected PIR signal by comparing the calculated number of ripples with a threshold value for the number of preset ripples.

Specifically, since the number of ripples in the human movement becomes smaller than the number of ripples in the background noise, the number of ripples based on the number of ripples can be set in advance as a threshold value.

As an example, the signal separator 130 may separate the human movement signal if the number of calculated ripples is smaller than the threshold value.

In another embodiment, the signal separator 130 may separate the background noise signal if the number of calculated ripples is greater than or equal to the threshold value.

Hereinafter, a specific embodiment of the PIR signal collecting unit 110 will be described.

2 is a block diagram showing a specific embodiment of the PIR signal collecting unit described in FIG.

2, the PIR signal collecting unit 110 includes a PIR sensor unit 210, a signal collecting (ADC) board 220, and a signal storing unit 230.

The PIR sensor unit 210 can collect an infrared signal input from the outside.

The signal acquisition (ADC) board 220 may convert the collected infrared signal into a digital signal.

In addition, the signal storage unit 230 may store the PIR signal converted into the digital signal. As an example, the signal storage unit 230 may be implemented as a PC in which signals can be stored.

3 is a flowchart showing an embodiment of a signal separation method according to the present invention.

Referring to FIG. 3, the PIR signal collecting unit 110 collects a PIR (Passive Infrared) signal from an infrared ray input from the outside (S310).

As an embodiment, the PIR signal acquisition unit 110 can set the sampling frequency of the PIR signal acquisition and the accuracy of the signal level. Specifically, a sampling frequency of 50 Hz or more and a precision higher than a specific V value can be used.

Subsequently, the RV calculation unit 120 proceeds to step S320 of calculating the number of ripples (RVs) defined as the shaking of the signal from the collected PIR signals.

As an embodiment, the RV calculation unit 120 can calculate the number of ripples RV during RCP (Ripple Count Period) which is a preset time interval.

Next, the signal separator 130 compares the calculated number of ripples with a threshold value for the number of preset ripples, and separates the human movement signal from the collected PIR signal The step proceeds.

More specifically, the step S330 of determining whether the number of calculated ripples is smaller than the threshold value is performed.

Accordingly, if the calculated number of ripples RV is smaller than the threshold, step S340 of separating the signal into a human movement signal is performed.

If it is determined in step S330 that the number of calculated ripples is not less than the threshold value, the flow returns to step S310 to collect the PIR signal.

As another embodiment, if the number of calculated ripples is not smaller than the threshold value in step S330, a step of separating the signal into background noise signals may be performed.

Hereinafter, a specific embodiment of step S310 will be described.

FIG. 4 is a flowchart showing a specific embodiment of the PIR signal collection step described in FIG.

Referring to FIG. 4, first, the PIR sensor unit 210 collects the infrared signal (S410).

Subsequently, the signal acquisition (ADC) board 220 converts the collected infrared signal into a digital signal (S420).

Next, the PIR signal converted into the digital signal is stored in the signal storage unit 230 (S430).

Hereinafter, the results of the signal separation method according to the present invention will be described.

5 is a graph showing an embodiment in which signals are separated by the signal separation method according to the present invention.

Referring to FIG. 5, the first time interval may be a background noise signal interval, and the second time interval may be a human movement signal interval.

Specifically, when the threshold value is set to 5, since the Ripple Count (RV) of the first time interval is larger than the threshold value 7, it can be confirmed as the background noise signal interval. Since the Ripple Count (RV) of the second time interval is 1 smaller than the threshold value, it can be confirmed as the human movement signal interval.

As a result, according to the present invention, it is possible to reduce the false detection result of the human movement detection through the PIR sensor in the presence of background noise, thereby reducing the traffic of the sensor network and improving the detection reliability.

As described above, the sensor system and the signal separation method for separating the background noise and the human movement signal from the PIR sensor signal are not limited to the configuration and method of the embodiments described above, All or some of the embodiments may be selectively combined.

110 - PIR signal collecting unit
120 - RV calculating section
130 -
210 - PIR sensor unit
220 - Signal Acquisition (ADC) Board
230 - Signal storage unit

Claims (10)

A PIR signal collecting unit for collecting a PIR (Passive Infrared) signal from an infrared ray inputted from the outside;
An RV calculation unit for calculating, from the collected PIR signals, a number of ripples (RVs) defined as a shake of a signal; And
And a signal separator for comparing a number of the calculated ripples with a threshold value for a predetermined number of ripples and separating a human movement signal from the collected PIR signal. . The method according to claim 1,
The PIR signal collecting unit,
A PIR sensor unit for collecting the PIR signal;
A signal acquisition (ADC) board for converting the collected PIR signal into a digital signal; And
And a signal storage unit for storing the PIR signal converted into the digital signal. The method according to claim 1,
The RV calculation unit may calculate,
Wherein the number of ripples is calculated during an RCP (Ripple Count Period) which is a preset time interval. The method according to claim 1 or 3,
Wherein the signal separator comprises:
And if the number of calculated ripples is smaller than the threshold value, separates into the human movement signal. 5. The method of claim 4,
Wherein the signal separator comprises:
And separates the background noise signal into a background noise signal when the number of calculated ripples is greater than or equal to the threshold value. (a) collecting a PIR (Passive Infrared) signal from an infrared ray inputted from the outside by a PIR signal collecting unit;
(b) calculating a number of ripples (RVs) defined as a shake of the signal from the collected PIR signal by the RV calculating unit; And
(c) separating a human movement signal from the collected PIR signal by comparing a number of the calculated ripples with a threshold value for the number of predetermined ripples by a signal separation unit, and And the signal is separated. The method according to claim 6,
The step (a)
Collecting the PIR signal by a PIR sensor unit;
Converting the collected PIR signal into a digital signal by a signal acquisition (ADC) board; And
And storing the PIR signal converted into the digital signal in a signal storage unit. The method according to claim 6,
The step (b)
And calculating the number of ripples during RCP (Ripple Count Period), which is a predetermined time interval, by the RV calculation unit. 9. The method according to claim 6 or 8,
The step (c)
And separating the signal into the human movement signal when the number of the calculated ripples is smaller than the threshold value by the signal separation unit. 10. The method of claim 9,
The step (c)
And dividing the signal into a background noise signal if the number of calculated ripples is greater than or equal to the threshold value by the signal separation unit.
KR1020150045444A 2015-03-31 2015-03-31 Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal KR101616790B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150045444A KR101616790B1 (en) 2015-03-31 2015-03-31 Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150045444A KR101616790B1 (en) 2015-03-31 2015-03-31 Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal

Publications (1)

Publication Number Publication Date
KR101616790B1 true KR101616790B1 (en) 2016-04-29

Family

ID=55915968

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150045444A KR101616790B1 (en) 2015-03-31 2015-03-31 Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal

Country Status (1)

Country Link
KR (1) KR101616790B1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210070763A (en) 2019-12-05 2021-06-15 부산대학교 산학협력단 System and Method for Deep Learning Based Object Detection Using PIR Sensor
KR20240023745A (en) 2022-08-16 2024-02-23 주식회사 호서텔넷 Microcontroller unit for reducing malfunction by adjusting sensing thresholds, and passive infrared sensing device having the same

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0990055A (en) * 1995-09-27 1997-04-04 Matsushita Electric Works Ltd Infrared type human body detector
KR20090117555A (en) * 2008-05-09 2009-11-12 옥은호 Pyroelectric infrared sensor

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0990055A (en) * 1995-09-27 1997-04-04 Matsushita Electric Works Ltd Infrared type human body detector
KR20090117555A (en) * 2008-05-09 2009-11-12 옥은호 Pyroelectric infrared sensor

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210070763A (en) 2019-12-05 2021-06-15 부산대학교 산학협력단 System and Method for Deep Learning Based Object Detection Using PIR Sensor
KR20240023745A (en) 2022-08-16 2024-02-23 주식회사 호서텔넷 Microcontroller unit for reducing malfunction by adjusting sensing thresholds, and passive infrared sensing device having the same

Similar Documents

Publication Publication Date Title
JP6676077B2 (en) Cross-domain time-series data conversion apparatus, method, and system
US9799194B2 (en) Method for detecting drowning and device for detecting drowning
CN203931100U (en) The terminal that human body is fallen
WO2012170953A3 (en) Systems and methods for intelligent monitoring of thoroughfares using thermal imaging
KR101345603B1 (en) Management system of information for noises between stairs using the analyzing apparatus for sensing vibrational noises between stairs and generating method of update information for noises between stairs using the same
KR101687477B1 (en) A Method for Providing Event Occurrence Information Using Big Data and A System for the Same
KR101616790B1 (en) Sensor system and signal separation method for separating pir sensor signal into the person moving signal and the background noise signal
WO2016203078A3 (en) Ir or thermal image enhancement method based on background information for video analysis
US9811739B2 (en) Surveillance system and surveillance method
EP3140823A1 (en) Dual-detector capacity intrusion detection systems and methods and systems and methods for configuration thereof
US20130236056A1 (en) Event detection system and method using image analysis
EP2587462A1 (en) Image monitoring system and method with false alarm rate reduction
WO2019076954A1 (en) Intrusion detection methods and devices
JP5679760B2 (en) Intruder detection device
KR20080071770A (en) System for sensing abnormal phenomenon on realtime and method for controlling the same
JP6856168B2 (en) Abnormal sound detection device and abnormal sound detection method
KR100956124B1 (en) Intergration monitoring system of river or water reservoir disaster management and method thereof
KR101396987B1 (en) System for monitoring state and diagnosing safety of structure plant
US11216957B2 (en) Method and apparatus for detecting motion deviation in a video
US20190188864A1 (en) Method and apparatus for detecting deviation from a motion pattern in a video
EP2690523A3 (en) Method and system for monitoring state of an object
DE102018221754B4 (en) Food monitoring in a household refrigeration appliance
KR101240924B1 (en) Apparatus and method for motion detecting sensor using camera
JP2011203048A (en) Apparatus and method of locating sound source
JP2010211763A (en) Image monitoring device

Legal Events

Date Code Title Description
E701 Decision to grant or registration of patent right
GRNT Written decision to grant