CN114047552A - Human body existence sensor - Google Patents
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- CN114047552A CN114047552A CN202111334799.4A CN202111334799A CN114047552A CN 114047552 A CN114047552 A CN 114047552A CN 202111334799 A CN202111334799 A CN 202111334799A CN 114047552 A CN114047552 A CN 114047552A
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
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- 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
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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 respectively detect target environment information through a microwave sensing signal and an infrared temperature signal, the detected data are transmitted into an operation unit to be processed by a statistical algorithm, and the microwave sensing signal and the infrared temperature signal are classified; judging according to the microwave sensing data and the temperature value, and when the data are stored in a high-temperature register, sending the human body presence sensing to be true by a control unit; when the data is stored in the low temperature register, the control unit sends a human presence sense as 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; and jointly judging whether a person exists in the detected environment or not based on the microwave sensor and the infrared sensor.
Description
Technical Field
The invention relates to the technical field of intelligent induction, in particular to a human body presence sensor.
Background
With the rapid progress and development of society, the power load is increased, and energy conservation and emission reduction become problems facing people together. Nowadays, emerging intelligent technology develops rapidly, and various control systems increasingly embody intelligent characteristics, very big improvement the power consumption efficiency, brought the facility for people's life.
In the intelligent sensing technology, a sensor for sensing and judging whether a human body is in a certain closed space is in accordance with the requirements of the current market, and the sensor is called as a human body existence sensor. The human body presence sensor has an important role as a judger of intelligent control subsystems such as intelligent lighting, intelligent temperature control, intelligent ventilation and the like in an intelligent control system.
The main existing human body presence sensors in the current market are microwave sensors, pyroelectric sensors, thermocouple sensors and the like. The microwave sensor has strong perception to radial movement, the pyroelectric sensor has strong perception to tangential heat body movement, and the thermocouple sensor has perception to temperature change greatly. One problem that is urgently needed to be solved at present is the perception of a human body with little or no movement in an enclosed space at low cost.
It is for the above reasons that the present invention provides a human presence sensor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a human body existence sensor which senses a moving thermal body and records a heat value, wherein the heat value can be used for judging whether the moving/static thermal body exists or not and finally outputting whether the thermal body exists in a closed space or not. The system jointly judges whether a person exists in the detected environment or not based on the microwave sensor and the infrared sensor. The system comprises intelligent hardware and a corresponding algorithm, and judges whether a human body exists in a detected space based on microwave perception and infrared heat value perception in a combined manner.
In order to realize the purpose of the invention, the invention adopts the technical scheme that:
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-temperature register and a low-temperature register, the microwave sensor and the infrared sensor respectively detect target environment information through a microwave sensing signal and an infrared temperature signal, the detected data are transmitted into an arithmetic unit for arithmetic processing, and the microwave sensing signal and the infrared temperature signal are classified; judging according to the microwave sensing data and the temperature value, temporarily storing the data into a high-temperature register or a low-temperature register, and sending the human body existence sensing to be true by the control unit when the data is stored into the high-temperature register; when the data is stored in the low-temperature register, the control unit sends the human body presence sensing as no; and 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 the microwave sensing signal is true, the temperature sensing data is stored in a high-temperature register by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the high-temperature register and has no significant difference with the array signal in the low-temperature register, the temperature sensing data is stored in the low-temperature register;
s2, when the microwave sensing signal is negative, the temperature sensing data is stored in the low-temperature register by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the low-temperature register and has no significant difference with the array signal in the high-temperature register, the temperature sensing data is stored in the high-temperature register;
s3, when the data is stored in the high temperature register, the control unit sends the human body presence sensing as true; when the data is stored in the low temperature register, the control unit sends a human presence sense as no.
The algorithm for judging the difference between the temperature value and the temperature data in the register is as follows:
the measured temperature is set to be mu,the expectation of data in the high temperature register and the low temperature register is mu respectively1And mu2Standard deviation is respectively sigma1And σ2;
1) Assume as H0:μ=μ1Alternative hypothesis is H1;μ≠μ1(ii) a Constructing statistics Is the sample mean value, and n is the sample size; giving a significance level p of 0.05, wherein the significance level is 5%, the value at 95% of percentile is a critical value, and if the calculated t value is greater than the critical value, the original hypothesis is rejected, namely that mu has significant difference with the data of the high-temperature register array;
2) assume as H0’:μ=μ2Alternative hypothesis is H1’;μ≠μ2(ii) a Constructing statistics Is the sample mean value, and n is the sample size; given a significance level p of 0.05, if the calculated t value is greater than the threshold, the original assumption is rejected, i.e., μ is significantly different from the low temperature register array data, since the significance level is 5%.
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 judges whether a person exists in the detected environment or not based on the microwave sensor and the infrared sensor. The system comprises intelligent hardware and a corresponding algorithm, and judges whether a human body exists in a detected space based on microwave perception and infrared heat value perception in a combined manner.
Drawings
FIG. 1 is a schematic diagram of the 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 illustrating the influence of the infrared temperature signal and the detection distance in the present invention.
In the figure: 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.
Detailed Description
The invention is further illustrated below:
referring to figures 1-3 of the drawings,
in practical application, the sensor related to the invention can be loaded to systems such as intelligent lighting, intelligent home and the like, and the devices are always at a certain distance from the detected environment. According to the measured data, the infrared temperature signal value can be influenced by the detection distance. The detection value has obvious numerical attenuation along with the increase of the detection distance, and when the detection distance reaches more than three meters, the numerical value gradually approaches the ambient temperature, and the judgment is difficult to be carried out 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, the misjudgment condition can occur, and the algorithm provided by the invention can effectively solve the problem.
Example (b):
at a certain time, the array in the high temperature register 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. when a person walks into the detection area, the human presence sensor detects a signal array of [1024, 29.45 ]](the microwave sensor detection value is 0-4 and represents no moving target, 1020-1024 and represents moving target), the microwave sensor detects moving objects, the moving objects are placed into the high-temperature register by default, whether the moving objects are human bodies cannot be judged, and at the moment, the infrared heat value and the median value of the high-temperature register are subjected to significance test: calculated to obtain tHigh temperature=1.654<t0.052.365, when the calorific value is not significantly different from the high-temperature register, the human body presence sensor judges that a person is present; the person then remains stationary at some point, with the signal array being [0,28.41]And at the moment, the microwave sensor detects that no moving object exists, the microwave sensor is placed into the low-temperature register by default, and the infrared heat value and the median value of the low-temperature register are subjected to significance test: calculated to obtain tLow temperature=21.075>t0.052.365, when the heat value is different from the low-temperature register in significance, the infrared heat value and the median value of the high-temperature register are continuously checked for significance: calculated to obtain tHigh temperature=1.986<t0.05When the calorific value is not significantly different from the high-temperature register, 2.365, the human presence sensor judges that a person is present.
2. When other moving objects (small animals, non-heat source moving objects and the like) enter the detection area, the human body presence sensor detects signal arrays [1023, 24.02%]At the moment, the microwave sensor detects that a moving object exists, the moving object is placed into the high-temperature register by default, whether the moving object is a human body cannot be judged, and at the moment, the infrared heat value and the median value of the high-temperature register are subjected to significance test: calculated to obtain tHigh temperature=17.349>t0.05When the calorific value is different from the high-temperature register in significance, the significance test is continuously carried out on the calorific value and the median value of the low-temperature register, wherein the value is 2.365: calculated to obtain tLow temperature=1.409<t0.05When 2.365, there is no significant difference in the heating value from the high temperature register, so the human presence sensor determines no human.
Therefore, the invention can sense the human body which does or does not move in a micro-motion or motionless space at low cost, and can distinguish the small animal or the non-heat source moving body from the human body.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent modifications made by the present invention and the contents of the drawings or directly or indirectly applied to the related technical fields are included in the scope of the present invention.
Claims (3)
1. A human presence sensor, characterized by: the microwave sensing and infrared temperature detecting 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-temperature register and a low-temperature register, the microwave sensor (1) and the infrared sensor (2) respectively detect target environment information through a microwave sensing signal and an infrared temperature signal, detected data are transmitted into an operation unit to be processed through a statistical algorithm, and the microwave sensing signal and the infrared temperature signal are classified; judging according to the microwave sensing data and the temperature value, temporarily storing the data into a high-temperature register or a low-temperature register, and when the data is stored into the high-temperature register, sending the human body existence sensing to be true by a control unit (4); when the data is stored in the low-temperature register, the control unit (4) sends the human body presence sensing as no; and the power supply unit (5) is respectively connected with the control unit (4), the microwave sensor (1) and the infrared sensor (2).
2. The human presence sensor according to claim 1, characterized in that: the method for classifying the microwave sensing signal and the infrared temperature signal comprises the following steps:
s1, when the microwave sensing signal is true, the temperature sensing data is stored in a high-temperature register by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the high-temperature register and has no significant difference with the array signal in the low-temperature register, the temperature sensing data is stored in the low-temperature register;
s2, when the microwave sensing signal is negative, the temperature sensing data is stored in the low-temperature register by default, and when and only when the signal detected by the infrared sensor has significant difference with the array signal in the low-temperature register and has no significant difference with the array signal in the high-temperature register, the temperature sensing data is stored in the high-temperature register;
s3, when the data is stored in the high temperature register, the control unit sends the human body presence sensing as true; when the data is stored in the low temperature register, the control unit sends a human presence sense as no.
3. A human presence sensor according to claim 2, wherein: the algorithm for judging the difference between the temperature value and the temperature data in the register unit is as follows:
let the measured temperature be mu, and the expectation of the data in the high temperature register and the low temperature register be mu respectively1And mu2Standard deviation is respectively sigma1And σ2;
1) Assume as H0:μ=μ1Alternative hypothesis is H1;μ≠μ1(ii) a Constructing statistics Is the sample mean value, and n is the sample size; giving a significance level p of 0.05, wherein the significance level is 5%, the value at 95% of percentile is a critical value, and if the calculated t value is greater than the critical value, the original hypothesis is rejected, namely that mu has significant difference with the data of the high-temperature register array;
2) assume as H0’:μ=μ2Alternative hypothesis is H1’;μ≠μ2(ii) a Constructing statistics Is the sample mean value, and n is the sample size; given a significance level p of 0.05, if the calculated t value is greater than the threshold, the original assumption is rejected, i.e., μ is significantly different from the low temperature register array data, since the significance level is 5%.
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CN114537283A (en) * | 2022-03-15 | 2022-05-27 | 江铃汽车股份有限公司 | Telescopic automobile side pedal based on pressure sensor |
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