CN103263255B - Method for processing data of human body infrared temperature sensor - Google Patents

Abstract

Provided is a method for processing data of a human body infrared temperature sensor. The human body infrared temperature sensor is provided with a lens, a pixel matrix and an electronic processing circuit. An output datum ti of a pixel Pi in the pixel matrix represents an average temperature of an imaging area corresponding to the pixel Pi, the size of the imaging area corresponding to the pixel Pi is set to be S0, the number of the pixel is n, and the temperature of a human body is a constant Tr. The method comprises the following steps: 1, calculating a maximum value tmax of the output datum of the pixel matrix, a minimum value tmin of the output datum of the pixel matrix and the environment temperature ta, wherein ta=(sigma t-tmax-tmin)/(n-2); 2, calculating a human body area SRi projected by the pixel, if the output datum ti of the pixel Pi is equal to Tr, judging the area SRi=S0, if the output datum ti > Tr or ti <= ta, judging the area SRi=0, and if the output datum ti > ta and ti < Tr, judging the area SRi=S0*(ti-ta)/(Tr-ta); 3, calculating the sum sigma SRi of the projected human body area, and when the sigma SRi is greater than a threshold value parameter M, judging that a human body exists.

Description

The data processing method of human body infrared temperature sensor

Technical field

The present invention relates to the data processing method of human body infrared temperature sensor, belong to sensing data process field.

Background technology

As the device of human body sensing, pyroelectric infrared sensor, microwave Doppler sensor are the standard configurations of carrying out now lighting energy saving control and building energy saving control, but these two kinds of sensors are all the human bodies that can only detect in motion, there is no power of test for actionless human body, therefore its service behaviour and range of application are all very restricted.

In order to address this problem, there is producer to release the human body infrared temperature sensor that can detect static human.This sensor is that the infra-red radiation in surveyed area is imaged in corresponding pixel, and temperature is higher, and output data are larger.From data matrix, extract temperature data, if these data are with human body temperature coupling, can judge that someone exists.But human body infrared temperature sensor adopts pixel matrix structure, a part for the corresponding surveyed area of each pixel.If human body has just in time occupied a complete pixel, this pixel is exported human body temperature value accurately; But when the centre position of human body in region unit corresponding to multiple pixels, or due to apart from reason, the projection of human body only accounts for the part position of pixel, therefore export data and do not reach the temperature value of human body, bring difficulty to human detection.

Summary of the invention

The object of the invention is in order to address the above problem, adopt the principle of preservation of energy, by data analysis technique, the pixel data that exceedes ambient temperature is carried out to data reduction, calculate and cause the object size of this variations in temperature, thereby judged whether that human body exists.

The technical solution adopted for the present invention to solve the technical problems is:

The data processing method of human body infrared temperature sensor, the lens of optical focus are carried out in described human body infrared temperature sensor setting, infrared energy is converted to the picture element matrix of the signal of telecommunication and converts the signal of telecommunication of described picture element matrix output to the go forward side by side electronic processing circuit of line output of digital signal, the pixel P in described picture element matrix _ioutput data t _i, the pixel P that representative is described _ithe mean temperature of corresponding imaging region, sets described pixel P _ithe size of corresponding imaging region is S ₀, the pixel quantity of described picture element matrix is n, the body temperature of human body is constant T _r, comprise the following steps:

(1) first, ask described picture element matrix to export the maximum t of data _max, and minima t _min, then computing environment temperature t _a=(∑ t _i-t _max-t _min)/(n-2);

(2) calculate people's bulk area SR that each pixel projects _iif: pixel P _ioutput data t _i=T _r, judge this region SR _i=S ₀; If pixel P _ioutput data t _i> T _ror t _i≤ t _a, judge this region SR _i=0; If pixel P _ioutput data t _i>t _at simultaneously _i<T _r, SR _i=S ₀* (t _i-t _a)/(T _r-t _a);

(3) ask pixel projection people's bulk area and, obtain ∑ SR _i; As ∑ SR _ibe greater than threshold parameter M, judge and have human body, described threshold parameter M is empirical data.

Implementing good effect of the present invention is: 1, can judge whether static state or dynamic human body exist; 2, under actual complex environment, can in " hidden " data message, extract the temperature data of human body, realize the detection of human body.

Brief description of the drawings

Fig. 1 is the schematic diagram of human body infrared temperature sensor;

Fig. 2 is the flow chart of data processing method.

Detailed description of the invention

Below in conjunction with accompanying drawing, the invention will be further described.

With reference to Fig. 1-2, the data processing method of human body infrared temperature sensor, the lens 1 of optical focus are carried out in described human body infrared temperature sensor setting, convert infrared energy the picture element matrix 2 of the signal of telecommunication to and the signal of telecommunication that described picture element matrix 2 is exported converts the go forward side by side electronic processing circuit of line output of digital signal to.The infra-red radiation that described lens 1 send the object in surveyed area focuses on, and projects on described picture element matrix 2; Described picture element matrix 2 converts the infrared energy of input to the signal of telecommunication output, and the described signal of telecommunication is analogue signal, and its amplitude size is directly proportional to the infrared energy of input; The analogue signal that described electronic processing circuit is exported described picture element matrix 2 is amplified, and converts the digital signal line output of going forward side by side to.

Pixel P in described picture element matrix 2 _ioutput data t _i, the pixel P that representative is described _ithe mean temperature of corresponding imaging region, sets described pixel P _ithe size of corresponding imaging region is S ₀, the pixel quantity of described picture element matrix 2 is n, the body temperature of human body is constant T _r, comprise the following steps:

(1) first, ask described picture element matrix 2 to export the maximum t of data _max, and minima t _min, then computing environment temperature t _a=(∑ t _i-t _max-t _min)/(n-2);

In this step, by under the condition of minimum temperature and maximum temperature removal, adopt the method being averaging to obtain ambient temperature data t _a.Because human body infrared temperature sensor is generally arranged on roof, surveyed area is ground scope, and lighting can not exert an influence to it, and what most of pixel was exported is ambient temperature data.

(2) calculate people's bulk area SR that each pixel projects _iif: pixel P _ioutput data t _i=T _r, judge this region SR _i=S ₀; If pixel P _ioutput data t _i> T _ror t _i≤ t _a, judge this region SR _i=0; If pixel P _ioutput data t _i>t _at simultaneously _i<T _r, SR _i=S ₀* (t _i-t _a)/(T _r-t _a);

This step is described picture element matrix 2 to be exported to data process.Be divided into three kinds of situations: situation 1: pixel P _ioutput data t _i=T _r, represent this pixel P _isurveyed area just in time someone exists, remember this region SR _i=S ₀; Situation 2: pixel P _ioutput data t _i≤ t _a, represent this pixel P _isurveyed area be background environment, there is not human body, or as pixel P _ioutput data t _i> T _r, represent this pixel P _isurveyed area in there is non-human thermal source, such as fireplace or warmer etc., therefore remember this region SR _i=0; Situation 3: pixel P _ioutput data t _i>t _at simultaneously _i<T _r, now represent this this pixel P _isurveyed area have people to exist, but the human body Area comparison of projection is little, temperature, by after average, is just in (t _a, T _r) between.In order to carry out human detection, by the principle of preservation of energy, calculate the projected area of human body: SR _i* T _r+ (S ₀-SR _i) * t _a=S ₀* t _i, after conversion, can obtain SR _i=S ₀* (t _i-t _a)/(T _r-t _a).

(3) ask pixel projection people's bulk area and, obtain ∑ SR _i; As ∑ SR _ibe greater than threshold parameter M, judge and have human body, described threshold parameter M is empirical data.

In this step, threshold parameter M is empirical data, need to pass through test method, according to required detection sensitivity, determines in conjunction with installation site and the angle of human body infrared temperature sensor.

In sum, the present invention is directed to the data processing method of human body infrared temperature sensor, adopt the principle of preservation of energy, by data analysis technique, the pixel data that exceedes ambient temperature is carried out to data reduction, reckoning causes the object size of this variations in temperature, thereby has judged whether that human body exists.Implement the present invention and can judge whether static state or dynamic human body exist, for the Energy Saving Control of illumination and the energy conservation of building provide effective means.

Claims (1)

1. the data processing method of human body infrared temperature sensor, the lens of optical focus are carried out in described human body infrared temperature sensor setting, infrared energy is converted to the picture element matrix of the signal of telecommunication and converts the signal of telecommunication of described picture element matrix output to the go forward side by side electronic processing circuit of line output of digital signal, the pixel P in described picture element matrix _ioutput data t _i, the pixel P that representative is described _ithe mean temperature of corresponding imaging region, sets described pixel P _ithe size of corresponding imaging region is S ₀, the pixel quantity of described picture element matrix is n, the body temperature of human body is constant T _r, it is characterized in that: comprise the following steps:

(1) first, ask described picture element matrix to export the maximum t of data _max, and minima t _min, then computing environment temperature t _a=(∑ t _i-t _max-t _min)/(n-2);

(2) calculate people's bulk area SR that each pixel projects _iif: pixel P _ioutput data t _i=T _r, judge this region SR _i=S ₀; If pixel P _ioutput data t _i> T _ror t _i≤ t _a, judge this region SR _i=0; If pixel P _ioutput data t _i>t _at simultaneously _i<T _r, SR _i=S ₀* (t _i-t _a)/(T _r-t _a);

(3) ask pixel projection people's bulk area and, obtain ∑ SR _i; As ∑ SR _ibe greater than threshold parameter M, judge and have human body, described threshold parameter M is empirical data.