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

Method for processing data of human body infrared temperature sensor Download PDF

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CN103263255B
CN103263255B CN 201310197794 CN201310197794A CN103263255B CN 103263255 B CN103263255 B CN 103263255B CN 201310197794 CN201310197794 CN 201310197794 CN 201310197794 A CN201310197794 A CN 201310197794A CN 103263255 B CN103263255 B CN 103263255B
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ti
data
body
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CN103263255A (en )
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刘瑜
方曙光
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慈溪迈思特电子科技有限公司
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Abstract

一种人体红外温度传感器的数据处理方法,所述的人体红外温度传感器设置透镜,像素矩阵以及电子处理电路,所述的像素矩阵中的像素Pi输出数据ti,代表像素对应的成像区域的平均温度,设定所述的像素Pi对应的成像区域的大小为S0,像素数量为n,人体的体温为常数Tr,包括以下步骤:1、计算所述的像素矩阵输出数据的最大值tmax,最小值tmin和环境温度ta=(∑ti-tmax-tmin)/(n-2);2、计算像素投射的人体面积SRi:如果像素Pi输出数据ti=Tr,则判定该区域SRi=S0;如果输出数据ti>Tr或者ti≤ta,则判定该区域SRi=0;如果输出数据ti>ta同时ti<Tr,则SRi=S0*(ti-ta)/(Tr-ta);3、求投射的人体面积和∑SRi;当∑SRi大于阈值参数M,则判定存在人体。 The data processing method of the average human body temperature infrared temperature sensor, the infrared temperature sensor is provided in the lens body, and an electronic processing pixel matrix circuit, an output pixel matrix of the pixel Pi in the data ti, representing the imaging region corresponding to the pixels , setting the size of the imaging region corresponding to pixel Pi is S0, the number of pixels is n, the body's temperature constant Tr, comprising the following steps: 1, the maximum value of tmax is calculated according to the pixel data matrix output, minimum tmin and the ambient temperature ta = (Σti-tmax-tmin) / (n-2); 2, SRi pixels projected area of ​​the body is calculated: if the pixel Pi output data ti = Tr, the region SRi = S0 determination; if the output data ti> Tr or ti≤ta, it is determined that the region SRi = 0; if the output data ti> ta while ti <Tr, the SRi = S0 * (ti-ta) / (Tr-ta); 3, projected demand body area and ΣSRi; ΣSRi when the parameter is greater than the threshold value M, then determining the presence of the human body.

Description

人体红外温度传感器的数据处理方法 The data processing method of human infrared temperature sensor

技术领域 FIELD

[0001] 本发明涉及人体红外温度传感器的数据处理方法,属于传感器数据处理领域。 Data Processing Method [0001] The present invention relates to an infrared temperature sensor body, the sensor belonging to the data processing field.

背景技术 Background technique

[0002] 作为人体感应的器件,红外热释电传感器、微波多普勒传感器是现在进行照明节能控制和楼宇节能控制的标准配置,但是这两种传感器都是只能检测运动中的人体,对于静止不动的人体是没有检测能力的,因此其工作性能和应用范围都受到很大的限制。 [0002] As the human body sensing device, pyroelectric infrared sensor, a microwave Doppler sensor is now standard lighting energy saving control and building control arrangement, but it is only the two sensors detect motion of the body, for the human body is not stationary detection capability, so its performance and range of applications are severely limited.

[0003] 为了解决这个问题,有厂家推出可检测静态人体的人体红外温度传感器。 [0003] In order to solve this problem, manufacturers have introduced an infrared temperature sensor may detect the human body is static. 该传感器是将检测区域内的红外辐射成像在对应的像素上,温度越高,输出数据越大。 The infrared radiation imaging sensor is within the detection region on the corresponding pixel, the higher the temperature, the greater the output data. 从数据矩阵中提取温度数据,如果该数据跟人体温度匹配则可以判断有人存在。 The extraction temperature data from the data matrix, if the data matched with the human body temperature can be judged was present. 但是人体红外温度传感器采用像素矩阵结构,每个像素对应检测区域的一部分。 However, the infrared temperature sensor body structure of a matrix of pixels, each pixel corresponding to a portion of the detection region. 如果人体正好占据了一个完整像素,则该像素输出准确的人体温度值;但是当人体处于多个像素对应的区域块的中间位置,或者由于距离原因,人体的投影只占像素的部分位置,因此输出数据达不到人体的温度值,给人体检测带来困难。 If the body just occupy a full pixel, then the pixel value output accurate body temperature; however, when the body is in the intermediate position of the plurality of pixels corresponding to the block region, or the distance reason, only the body of the projection portion of the pixel position, the output data reach the temperature of the human body, the human body detection difficult.

发明内容 SUMMARY

[0004] 本发明的目的是为了解决上述问题,采用能量守恒的原理,通过数据分析技术将超过环境温度的像素数据进行数据还原,推算引起该温度变化的物体面积大小,从而判断是否有人体存在。 [0004] The object of the present invention is to solve the above problems, using the principle of conservation of energy, the pixel data over the ambient temperature data is reduced by data analysis techniques, estimating the object causing the size of the area of ​​the temperature change, to determine whether a human body is present .

[0005] 本发明解决其技术问题所采用的技术方案是: [0005] aspect of the present invention to solve the technical problem are:

[0006] 人体红外温度传感器的数据处理方法,所述的人体红外温度传感器设置进行光学聚焦的透镜,将红外辐射能量转换成电信号的像素矩阵以及将所述的像素矩阵输出的电信号转换成数字信号并进行输出的电子处理电路,所述的像素矩阵中的像素Pi输出数据ti; 代表所述的像素Pi所对应的成像区域的平均温度,设定所述的像素Pi对应的成像区域的大小为\,所述的像素矩阵的像素数量为n,人体的体温为常数Ί;,包括以下步骤: [0006] The data processing method of human infrared temperature sensor, the body of an infrared temperature sensor provided for the optical focusing lens, converting infrared radiation energy into an electrical signal, and the pixel matrix output from the matrix of pixels is converted into an electrical signal and the digital signal output from the electronic processing circuit, an output pixel matrix of the pixel Pi in the data Ti; average temperature representative of the pixel Pi of the corresponding imaging region is set corresponding to the pixel Pi of the imaging area size \, the number of pixels of the pixel matrix is ​​n, the body's temperature constant Ί ;, comprising the steps of:

[0007] (1)首先,求所述的像素矩阵输出数据的最大值tmax,和最小值tmin,然后计算环境温度ta= ( Σ t「t眶-tmin) / (η - 2); Maximum value tmax [0007] (1) First, find the pixel matrix of the output data, and the minimum value Tmin, and then calculates the ambient temperature ta = (Σ t "t orbital -tmin) / (η - 2);

[0008] (2)计算每个像素投射的人体面积SR,:如果像素Pi输出数据&= Ί;,则判定该区域SRi= S0 ;如果像素Pj输出数据Tr或者\ ( ta,则判定该区域SRi= 0 ;如果像素Pj输出数据W 同时\〈ΤΓ,则SR i = S0* (t「ta) / (Tr-ta); [0008] (2) the area of ​​the human body is calculated for each pixel projected SR ,: If the pixel Pi & = Ί ;, the output data of the region SRi = S0 determination; if the output data of the pixel Pj Tr or \ (ta, it is determined that the region SRi = 0; if the output data of the pixel Pj W while \ <ΤΓ, the SR i = S0 * (t "ta) / (Tr-ta);

[0009] (3)求像素投射的人体面积和,得到Σ SR, SR,大于阈值参数M,则判定存在人体,所述的阈值参数Μ为经验数据。 [0009] (3) Find the projection of the pixel area and the body, to obtain Σ SR, SR, the parameter is greater than the threshold value M, then determining the presence of the human body, the threshold value for the parameter Μ empirical data.

[0010] 实施本发明的积极效果是:1、可以判断静态或者动态的人体是否存在;2、在实际的复杂环境下,可以在"隐蔽的"数据信息中提取人体的温度数据,实现人体的检测。 [0010] embodiment of the present invention, the positive effects are: 1, based on static or dynamic body exists; 2, under actual complex environment, can extract the temperature data of the human body in a "hidden" data information realize the human body detection.

附图说明 BRIEF DESCRIPTION

[0011] 图1是人体红外温度传感器的示意图; [0011] FIG. 1 is a schematic diagram of the infrared temperature sensor body;

[0012] 图2是数据处理方法的流程图。 [0012] FIG 2 is a flowchart of a data processing method.

具体实施方式 detailed description

[0013] 下面结合附图对本发明作进一步描述。 [0013] The following drawings in conjunction with the present invention will be further described.

[0014] 参照图1 一2,人体红外温度传感器的数据处理方法,所述的人体红外温度传感器设置进行光学聚焦的透镜1,将红外辐射能量转换成电信号的像素矩阵2以及将所述的像素矩阵2输出的电信号转换成数字信号并进行输出的电子处理电路。 [0014] Referring to FIG 1 a 2, a data processing method of human infrared temperature sensor, the infrared temperature sensor disposed in the body for an optical focusing lens 1, the pixel converting infrared radiation energy into an electrical signal and to said matrix 2 pixel matrix 2 converts the electrical signal into a digital output from the signal processing circuit and an electronic output. 所述的透镜1将检测区域内的物体发出的红外辐射进行聚焦,并投射到所述的像素矩阵2上;所述的像素矩阵2将输入的红外辐射能量转换成电信号并输出,所述的电信号为模拟信号,其幅值大小与输入的红外辐射能量成正比;所述的电子处理电路将所述的像素矩阵2输出的模拟信号进行放大,并转换成数字信号并进行输出。 The object lens 1 in the infrared radiation emitted from focus detection region, and projected onto the pixel matrix 2; 2 of the pixel matrix of the input infrared radiation energy into an electrical signal and an output, the the electrical signal is an analog signal, proportional to the magnitude of the amplitude of infrared radiant energy to the input thereof; said electronic processing circuit to said second output pixel matrix analog signal is amplified and converted into a digital signal and outputs it.

[0015] 所述的像素矩阵2中的像素Pi输出数据ti;代表所述的像素Pi所对应的成像区域的平均温度,设定所述的像素Pi对应的成像区域的大小为、所述的像素矩阵2的像素数量为n,人体的体温为常数Ί;,包括以下步骤: [0015] The pixel matrix of the output pixel data Pi 2 ti; average temperature representative of the imaging area of ​​the pixel Pi corresponding to the size of the pixel Pi is set corresponding to the imaging area, according to the number of pixels of pixel matrix 2 is n, the body's temperature constant Ί ;, comprising the steps of:

[0016] (1)首先,求所述的像素矩阵2输出数据的最大值tmax,和最小值tmin,然后计算环境温度ta= ( Σ t「tmax- tmin) / (n-2); [0016] (1) First, find the maximum value tmax 2 matrix of pixels of the output data, and the minimum value Tmin, and then calculates the ambient temperature ta = (Σ t "tmax- tmin) / (n-2);

[0017] 该步骤中,将最低温度和最高温度去除的条件下,采用求平均的方法获得环境温度数据ta。 [0017] In this step, under the conditions of minimum and maximum temperature of the removal, a method using the average of the data required to obtain ambient temperature ta. 因为人体红外温度传感器一般安装在屋顶,检测区域为地面范围,照明灯具不会对其产生影响,大部分像素输出的是环境温度数据。 Because the human body infrared temperature sensor is generally installed on the roof, the detection range of the ground area, lighting does not affect it, most of the pixel data output from the ambient temperature.

[0018] (2)计算每个像素投射的人体面积SR,:如果像素Pi输出数据tf Ί;,则判定该区域SRi= S0 ;如果像素Pi输出数据Tr或者\ ( ta,则判定该区域SRi= 0 ;如果像素Pi输出数据W 同时\〈ΤΓ,则SR i = S0* (t「ta) / (Tr-ta); [0018] (2) the area of ​​the human body is calculated for each pixel projected SR ,: If the pixel Pi tf Ί ;, the output data of the region SRi = S0 determination; if the pixel Pi or the output data Tr \ (ta, it is determined that the region SRi = 0; if the pixel Pi simultaneously output data W \ <ΤΓ, the SR i = S0 * (t "ta) / (Tr-ta);

[0019] 该步骤是对所述的像素矩阵2输出数据进行处理。 [0019] This step is a matrix of pixels to said second output data is processed. 分为三种情况:情况1 :像素Pi 输出数据ti= Tr,表示该像素Pi的检测区域正好有人存在,则记该区域SRi= S0 ;情况2 :像素Pi输出数据\ ( ta,表示该像素Pi的检测区域为背景环境,不存在人体,或者当像素Pi输出数据Ί;,表示该像素Pi的检测区域内存在非人体热源,比如壁炉或者取暖器等,因此记该区域SR, 0 ;情况3 :像素Pi输出数据ti>ta同时\〈1;,此时表示该该像素Pi的检测区域有人存在,但是投射的人体面积比较小,温度被平均以后,就处在(ta,I;)之间。为了进行人体检测,通过能量守恒的原理,计算人体的投射面积:SRi* Tr + (s0- SRi) * ta = Sfti,经过变换以后可以得到SR i = S0* (ti-ta) / (Tr-ta)。 Divided into three cases: Case 1: pixel Pi output data ti = Tr, pixel Pi represents the detection zone just was present in the region SRi = S0 are credited; case 2: the output data of the pixel Pi \ (TA, indicating that the pixel Pi context detection region, the body does not exist, or when pixel Pi represents the output data of the pixel Pi Ί ;, detection areas of memory in a non-human source, such as a fireplace or heater, etc., and therefore referred to the region SR, 0; the case 3: the output data of the pixel Pi ti> ta while \ <1 ;, the pixel Pi at this time indicates the detection zone there is a person, but a relatively small projected area of ​​the human body, after the temperature is averaged, it is in (ta, I;) between for human body detection by the principle of conservation of energy, the body's projected area is calculated: SRi * Tr + (s0- SRi) * ta = Sfti, can be obtained through after converting SR i = S0 * (ti-ta) / (Tr-ta).

[0020] (3)求像素投射的人体面积和,得到Σ SRi ;^Σ SR,大于阈值参数M,则判定存在人体,所述的阈值参数Μ为经验数据。 [0020] (3) Find the projection of the pixel area and the body, to obtain Σ SRi; ^ Σ SR, the parameter is greater than the threshold value M, then determining the presence of the human body, the threshold value for the parameter Μ empirical data.

[0021] 该步骤中,阈值参数Μ为经验数据,需要经过试验方法,根据所需的检测灵敏度, 结合人体红外温度传感器的安装位置和角度来确定。 [0021] In this step, the threshold value of the parameter Μ empirical data, need to go through the test methods, depending on the desired detection sensitivity, the human binding mounting position and angle of the infrared temperature sensor is determined.

[0022] 综上所述,本发明针对人体红外温度传感器的数据处理方法,采用能量守恒的原理,通过数据分析技术将超过环境温度的像素数据进行数据还原,推算引起该温度变化的物体面积大小,从而判断是否有人体存在。 [0022] In summary, the present invention is directed to a data processing method of human infrared temperature sensor, using the principle of conservation of energy, the pixel data over the ambient temperature data is reduced by data analysis techniques, causing the estimated temperature change area size object to determine whether the presence of the human body. 实施本发明可以判断静态或者动态的人体是否存在,为照明的节能控制和楼宇的能源管理提供有效的手段。 Analyzing embodiment of the present invention can be static or dynamic body exists to provide an effective means of lighting energy management and energy saving control buildings.

Claims (1)

  1. 1.人体红外温度传感器的数据处理方法,所述的人体红外温度传感器设置进行光学聚焦的透镜,将红外辐射能量转换成电信号的像素矩阵以及将所述的像素矩阵输出的电信号转换成数字信号并进行输出的电子处理电路,所述的像素矩阵中的像素Pi输出数据ti,代表所述的像素Pi所对应的成像区域的平均温度,设定所述的像素Pi对应的成像区域的大小为\,所述的像素矩阵的像素数量为n,人体的体温为常数Ί;,其特征在于:包括以下步骤: (1)首先,求所述的像素矩阵输出数据的最大值tmax,和最小值tmin,然后计算环境温度ta= ( Σ tmax- tmin) / (η - 2); (2)计算每个像素投射的人体面积SRi :如果像素Pi输出数据tf Tr,则判定该区域SRe So ;如果像素Pi输出数据t,> Tr或者ti ( ta,则判定该区域SRi= 0 ;如果像素Pi输出数据ti>ta 同时ti<Tr, Ijlij SRi= S0*(ti-ta)/ (Tr-ta); (3)求像素投射 The data processing method of human infrared temperature sensor, the infrared temperature sensor disposed in the body for the optical focusing lens, converting infrared radiation energy into an electrical signal, and the pixel matrix converts the electrical signal into a digital output of the pixel matrix and magnitude of the signal output from the electronic processing circuit, an output pixel matrix of the pixel Pi in the data ti, representing the average temperature of the pixels Pi of the corresponding imaging region is set corresponding to the pixel Pi of the imaging area is \, the number of pixels of the matrix of pixels is n, the body's temperature constant Ί ;, characterized by: comprising the steps of: (1) first, find the maximum value tmax of the pixel data matrix output, and minimum value tmin, then calculate the ambient temperature ta = (Σ tmax- tmin) / (η - 2); (2) is calculated for each pixel of the projected area of ​​the human body SRi: If the output data of the pixel Pi tf Tr, it is determined that the region SRe So; If the pixel Pi output data t,> Tr or ti (ta, it is determined that the region SRi = 0; if the pixel Pi output data ti> ta while ti <Tr, Ijlij SRi = S0 * (ti-ta) / (Tr-ta ); (3) find the projection pixels 的人体面积和,得到Σ SRi SR,大于阈值参数M,则判定存在人体, 所述的阈值参数Μ为经验数据。 And the body area, to obtain Σ SRi SR, the parameter is greater than the threshold value M, then determining the presence of the human body, the threshold value for the parameter Μ empirical data.
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