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 PDFInfo
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- 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
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- 238000000926 separation method Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 238000005070 sampling Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 2
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- 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
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- G01J2005/0048—
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- Spectroscopy & Molecular Physics (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
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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
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
The PIR
As an embodiment, the PIR
The
As an embodiment, the
The
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
In another embodiment, the
Hereinafter, a specific embodiment of the PIR
2 is a block diagram showing a specific embodiment of the PIR signal collecting unit described in FIG.
2, the PIR
The
The signal acquisition (ADC)
In addition, the
3 is a flowchart showing an embodiment of a signal separation method according to the present invention.
Referring to FIG. 3, the PIR
As an embodiment, the PIR
Subsequently, the
As an embodiment, the
Next, the
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
Subsequently, the signal acquisition (ADC)
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
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)
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 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 RV calculation unit may calculate,
Wherein the number of ripples is calculated during an RCP (Ripple Count Period) which is a preset time interval.
Wherein the signal separator comprises:
And if the number of calculated ripples is smaller than the threshold value, separates into the human movement signal.
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.
(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 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 step (b)
And calculating the number of ripples during RCP (Ripple Count Period), which is a predetermined time interval, by the RV calculation unit.
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.
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.
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Cited By (2)
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)
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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 |
-
2015
- 2015-03-31 KR KR1020150045444A patent/KR101616790B1/en active IP Right Grant
Patent Citations (2)
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)
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 |
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