CN114047552B - Human body presence sensor - Google Patents

Human body presence sensor Download PDF

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Publication number
CN114047552B
CN114047552B CN202111334799.4A CN202111334799A CN114047552B CN 114047552 B CN114047552 B CN 114047552B CN 202111334799 A CN202111334799 A CN 202111334799A CN 114047552 B CN114047552 B CN 114047552B
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temperature
jicun
data
wen
microwave
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CN114047552A (en
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周培聪
黄梦鑫
康念铅
梅佳磊
邹俊华
饶志豪
龚华杰
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Jiangxi Agricultural University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0022Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
    • G01J5/0025Living bodies

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention relates to the technical field of intelligent induction, in particular to a human body presence sensor, which comprises a microwave sensor, an infrared sensor, a register unit, a control unit and a power supply unit, wherein the microwave sensor and the infrared sensor detect target environment information through a microwave sensing signal and an infrared temperature signal respectively, and detected data are transmitted into an operation unit to be processed by a statistical algorithm to classify the microwave sensing signal and the infrared temperature signal; judging according to the microwave sensing data and the temperature value, and when the data is stored in the high-temperature register, the control unit sends the human existence sensing to be true; when data is stored in the low Wen Jicun device, the control unit sends a human presence perception of no. The invention can sense the moving heat body and record the heat value, and the heat value can be used for judging whether the moving/static heat body exists or not and finally outputting whether the heat body exists in the closed space or not; based on the microwave sensor and the infrared sensor, it is jointly determined whether a person exists in the detected environment.

Description

Human body presence sensor
Technical Field
The invention relates to the technical field of intelligent induction, in particular to a human body presence sensor.
Background
Along with the rapid progress and development of society, the power load is aggravated, and the energy conservation and emission reduction become the common facing problems of people. Nowadays, the emerging intelligent technology is rapidly developed, various control systems increasingly show the characteristic of intellectualization, greatly improve the electricity utilization efficiency and bring convenience to the life of people.
In the intelligent sensing technology, a sensor for sensing and judging whether a human body is in a certain closed space meets the current market requirement is called a human body existence sensor. The human body presence sensor plays an important role as a judging device of an intelligent control subsystem such as intelligent lighting, intelligent temperature control, intelligent ventilation and the like in the intelligent control system.
Human body presence sensors mainly existing in the current market include microwave sensors, pyroelectric sensors, thermocouple sensors and the like. The microwave sensor has strong sensing force on radial movement, the pyroelectric sensor has strong sensing force on the movement of the tangential heat body, and the thermocouple sensor senses the great change of temperature. One of the problems that is currently in urgent need to be solved is the low cost perception of micro-or non-moving human bodies within an enclosed space.
It is for this reason that the present invention provides a human presence sensor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a human body presence sensor which senses a moving heat body and records a heat value, wherein the heat value can be used for judging whether the moving/static heat body exists or not and finally outputting whether the heat body exists in a closed space or not. The system jointly determines whether a person exists in a detected environment based on a microwave sensor and an infrared sensor. The system comprises intelligent hardware and a corresponding algorithm, and based on microwave perception and infrared heat value perception, whether a human body exists in a detected space or not is judged in a combined mode.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows:
the invention discloses a human body presence sensor, which comprises a microwave sensor, an infrared sensor, a register unit, a control unit and a power supply unit, wherein the register unit comprises a high Wen Jicun device and a low Wen Jicun device, the microwave sensor and the infrared sensor detect target environment information through a microwave sensing signal and an infrared temperature signal respectively, and detected data are transmitted into an arithmetic unit for algorithm processing to classify the microwave sensing signal and the infrared temperature signal; judging according to the microwave sensing data and the temperature value, temporarily storing the microwave sensing data and the temperature value into a high Wen Jicun device or a low-temperature register, and transmitting human existence sensing to be true by a control unit when the data are stored in the high-temperature register; when the data is stored in the low Wen Jicun device, the control unit sends human existence perception to be no; the power supply unit is respectively connected with the control unit, the microwave sensor and the infrared sensor.
The method for classifying the microwave sensing signal and the infrared temperature signal comprises the following steps:
s1, when a microwave sensing signal is true, temperature sensing data is stored in a high Wen Jicun device by default, and if and only if a signal detected by an infrared sensor has a significant difference with a plurality of group signals in a high Wen Jicun device and has no significant difference with the plurality of group signals in a low Wen Jicun device, the temperature sensing data is stored in a low Wen Jicun device;
s2, when the microwave sensing signal is NO, the temperature sensing data is stored in the low Wen Jicun device by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the low Wen Jicun device and has no significant difference with the array signal in the high Wen Jicun device, the temperature sensing data is stored in the high Wen Jicun device;
s3, when the data are stored in the high-temperature register, the control unit sends human existence perception to be true; when data is stored in the low Wen Jicun device, the control unit sends a human presence perception of no.
The algorithm for performing difference judgment between the temperature value and the temperature data in the register is as follows:
let the measured temperature be μ, the expectations of the data in the high Wen Jicun and low temperature registers be μ respectively 1 Sum mu 2 Standard deviation is sigma respectively 1 Sum sigma 2
1) Let the original assumption be H 0 :μ=μ 1 The alternative hypothesis is H 1 ;μ≠μ 1 The method comprises the steps of carrying out a first treatment on the surface of the Building statistics The average value of the samples is given, and n is the sample size; given a significance level p=0.05, due to significanceThe level is 5%, then the value at 95% of the percentile is the critical value, if the calculated t value is larger than the critical value, the original assumption is refused, namely mu is obviously different from the high-temperature register array data;
2) Let the original assumption be H 0 ’:μ=μ 2 The alternative hypothesis is H 1 ’;μ≠μ 2 The method comprises the steps of carrying out a first treatment on the surface of the Building statistics The average value of the samples is given, and n is the sample size; given a significance level p=0.05, since the significance level is 5%, if the calculated t value is greater than the critical value, the original assumption is rejected, i.e. μ differs significantly from the low Wen Jicun array data.
The invention has the beneficial effects that:
(1) The invention can sense the moving heat body and record the heat value, and the heat value can be used for judging whether the moving/static heat body exists or not and finally outputting whether the heat body exists in the closed space or not. The system jointly determines whether a person exists in a detected environment based on a microwave sensor and an infrared sensor. The system comprises intelligent hardware and a corresponding algorithm, and based on microwave perception and infrared heat value perception, whether a human body exists in a detected space or not is judged in a combined mode.
Drawings
FIG. 1 is a schematic diagram of a system of the present invention;
FIG. 2 is a schematic diagram of a method for classifying microwave sensing signals and infrared temperature signals according to the present invention;
FIG. 3 is a schematic diagram showing the influence of the infrared temperature signal and the detection distance in the present invention.
In the figure: 1 microwave sensor, 2 infrared sensor, 3 register unit, 4 control unit, 5 power supply unit.
Detailed Description
The invention is further described below:
referring to figures 1-3 of the drawings,
in practical applications, the sensor according to the present invention may be installed in intelligent lighting, intelligent home systems, etc., where there is often a distance between the device and the environment to be detected. According to the measured data, the infrared temperature signal value can be influenced by the detection distance. The detected value has obvious value attenuation along with the increase of the detected distance, and when the detected distance reaches more than three meters, the value gradually approaches to the ambient temperature, and the detection is difficult to judge by using the heat sensor alone (as shown in fig. 3).
Therefore, the infrared temperature detection value is simply compared with the set threshold value, and misjudgment can occur.
Examples:
at a certain time, the array in the high Wen Jicun device is [27.79, 28.11, 28.51, 28.97, 29.17, 29.31, 29.85, 30.11], and the array in the low-temperature register is [22.95, 23.17, 23.47, 23.65, 23.71, 24.17, 24.51, 24.69]. The following two cases were analyzed:
1. a person walks into the detection area, and the human body presence sensor detects the signal array as [1024, 29.45 ]](the detection value of the microwave sensor is 0-4, which indicates no moving target, 1020-1024 indicates moving target), at this time, the microwave sensor detects moving objects, and the moving objects are placed in the high Wen Jicun device by default, but whether the moving objects are human bodies cannot be judged, at this time, the significance test is carried out on the infrared heat value and the median value of the high-temperature register: calculate the available t High temperature =1.654<t 0.05 = 2.365, at this time, there is no significant difference between the heat value and the high-temperature register, and the human presence sensor determines that there is a person; the person then remains stationary somewhere while the signal array is [0,28.41 ]]At this time, the microwave sensor detects no moving object, and the microwave sensor defaults to a low Wen Jicun device, and at this time, the infrared heat value and the median value of the low Wen Jicun device are subjected to significance test: calculate the available t Low temperature =21.075>t 0.05 = 2.365, where there was a significant difference between the heating value and the low Wen Jicun, the infrared heating value was continuously checked for significance with the high temperature register median: calculate the available t High temperature =1.986<t 0.05 2.365 when there is no significant difference between the heat value and the high temperature register, there is a transmission to the human bodyThe sensor determines that a person is present.
2. When other moving objects (small animals, non-heat source moving objects, etc.) enter the detection area, the human body presence sensor detects that the signal array is [1023, 24.02]At this time, the microwave sensor detects that a moving object exists, and the microwave sensor defaults to be placed in the high Wen Jicun device, but can not judge whether the moving object is a human body, and at this time, the infrared heat value and the median value of the high-temperature register are subjected to significance test: calculate the available t High temperature =17.349>t 0.05 = 2.365, where there was a significant difference between the heating value and the high temperature register, and the significance test was continued with the low Wen Jicun median: calculate the available t Low temperature =1.409<t 0.05 = 2.365, at this time, there is no significant difference between the heat value and the high-temperature register, and thus the human presence sensor determines that no person is present.
From the above, the invention can sense micro-moving or non-moving human bodies in the closed space with low cost, and can distinguish small animals or non-heat source moving bodies from human bodies.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes or direct or indirect application in the relevant art utilizing the present specification and drawings are included in the scope of the present invention.

Claims (2)

1. A human presence sensor, characterized by: the device comprises a microwave sensor (1), an infrared sensor (2), a register unit (3), a control unit (4) and a power supply unit (5), wherein the register unit (3) comprises a high Wen Jicun device and a low Wen Jicun device, the microwave sensor (1) and the infrared sensor (2) detect target environment information through a microwave sensing signal and an infrared temperature signal respectively, and detected data are transmitted into an operation unit to be processed through a statistical algorithm to classify the microwave sensing signal and the infrared temperature signal; judging according to the microwave sensing data and the temperature value, temporarily storing the microwave sensing data and the temperature value into a high Wen Jicun device or a low-temperature register, and when the data is stored in the high-temperature register, sending human existence sensing by the control unit (4) to be true; when the data is stored in the low Wen Jicun device, the control unit (4) sends human existence perception to judge whether the human existence perception exists; the power supply unit (5) is respectively connected with the control unit (4), the microwave sensor (1) and the infrared sensor (2); the method for classifying the microwave sensing signal and the infrared temperature signal comprises the following steps:
s1, when a microwave sensing signal is true, temperature sensing data is stored in a high Wen Jicun device by default, and if and only if a signal detected by an infrared sensor has a significant difference with a plurality of group signals in a high Wen Jicun device and has no significant difference with the plurality of group signals in a low Wen Jicun device, the temperature sensing data is stored in a low Wen Jicun device;
s2, when the microwave sensing signal is NO, the temperature sensing data is stored in the low Wen Jicun device by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the low Wen Jicun device and has no significant difference with the array signal in the high Wen Jicun device, the temperature sensing data is stored in the high Wen Jicun device;
s3, when the data are stored in the high-temperature register, the control unit sends human existence perception to be true; when data is stored in the low Wen Jicun device, the control unit sends a human presence perception of no.
2. A human presence sensor according to claim 1, characterized in that: the algorithm for performing difference judgment between the temperature value and the temperature data in the register unit is as follows:
let the measured temperature be μ, the expectations of the data in the high Wen Jicun and low temperature registers be μ respectively 1 Sum mu 2 Standard deviation is sigma respectively 1 Sum sigma 2
Let the original assumption be H 0 :μ=μ 1 The alternative hypothesis is H 1 ;μ≠μ 1 The method comprises the steps of carrying out a first treatment on the surface of the Building statistics,/>The average value of the samples is given, and n is the sample size; given a significance level p=0.05, since the significance level is 5%, then the value at 95% of the percentile is the faceIf the calculated t value is larger than the critical value, rejecting the original assumption, namely that mu has obvious difference with the high-temperature register array data;
let the original assumption be H 0 :μ=μ 2 The alternative hypothesis is H 1 ;μ≠μ 2 The method comprises the steps of carrying out a first treatment on the surface of the Building statistics,/>The average value of the samples is given, and n is the sample size; given a significance level p=0.05, since the significance level is 5%, if the calculated t value is greater than the critical value, the original assumption is rejected, i.e. μ differs significantly from the low Wen Jicun array data.
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