JPH0875216A - Human body detecting method of air-conditioning machine - Google Patents
Human body detecting method of air-conditioning machineInfo
- Publication number
- JPH0875216A JPH0875216A JP6206926A JP20692694A JPH0875216A JP H0875216 A JPH0875216 A JP H0875216A JP 6206926 A JP6206926 A JP 6206926A JP 20692694 A JP20692694 A JP 20692694A JP H0875216 A JPH0875216 A JP H0875216A
- Authority
- JP
- Japan
- Prior art keywords
- human body
- amplitude
- pole
- frequency
- output signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
Description
【0001】[0001]
【産業上の利用分野】本発明は、空気調和機に複数の赤
外線センサ等からなる人体検知センサを設け、それらの
人体検知センサの出力信号の取り込みと人体を検知する
方法に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for providing an air conditioner with a human body detecting sensor including a plurality of infrared sensors, capturing the output signals of these human body detecting sensors, and detecting the human body.
【0002】[0002]
【従来の技術】従来、特開平2ー134593号公報に
あるように複数の赤外線センサを設け、互いの検知領域
の一部を重複させることにより赤外線センサの個々の検
知領域に加えて重複領域をもそれぞれ検出し、赤外線セ
ンサの個数を越える領域の被検出体の有無の検出を可能
とするものがあった。2. Description of the Related Art Conventionally, as disclosed in Japanese Patent Application Laid-Open No. 2-134593, a plurality of infrared sensors are provided, and by overlapping a part of the detection areas of each other, an overlapping area is created in addition to the individual detection areas of the infrared sensor. In some cases, it is possible to detect the presence or absence of an object to be detected in an area exceeding the number of infrared sensors.
【0003】また特開平5ー187682号公報にある
ように空気調和機に複数の人体検知センサーを設け、そ
れらの検出範囲を部分的に重合させて検出素子数よりも
多くの検出領域を持つことを可能とし、検出素子の検知
レベルに応じて人数をカウントし、この結果から多人数
の方向に長時間風向を向け風量を上げるように風向と風
量を制御するものがあった。また、所定の期間これらの
データを蓄積してその蓄積データから人の行動予測を行
い、予想時刻に予想する方向に空調を開始するものがあ
る。Further, as disclosed in JP-A-5-187682, a plurality of human body detection sensors are provided in an air conditioner, and the detection ranges thereof are partially overlapped to have a detection area larger than the number of detection elements. In some cases, the number of people is counted according to the detection level of the detection element, and from this result, the wind direction and the air volume are controlled so that the wind direction is directed toward a large number of people for a long time and the air volume is increased. Further, there is a method in which these data are accumulated for a predetermined period of time, the behavior of a person is predicted from the accumulated data, and the air conditioning is started in the expected direction at the expected time.
【0004】[0004]
【発明が解決しようとする課題】これら従来の方法で
は、赤外線センサの増幅回路に工夫をこらして出力信号
が飽和しないようにする必要があり、増幅回路をダイナ
ミックレンジにした場合、出力レベルと人数の対応を推
定しようとすれば増幅回路の状態もデータ処理の条件と
して入力しなければならない。また複数の赤外線センサ
で同一の人体の動きを検出した場合、出力信号の波形の
形状は類似していても位相が異なっているので複数の出
力信号を同一のタイミングでデータ処理することができ
ない。In these conventional methods, it is necessary to devise the amplification circuit of the infrared sensor to prevent the output signal from being saturated. When the amplification circuit is set to the dynamic range, the output level and the number of people are increased. In order to estimate the correspondence of (1), the state of the amplifier circuit must be input as a condition for data processing. When the same human body movement is detected by a plurality of infrared sensors, the output signals cannot be processed at the same timing because the output signals have similar waveforms but different phases.
【0005】そこで本発明は、人体の動き以外の要素を
検出したり各種の電気的ノイズが含まれる出力信号の波
形から精度良く人体を検出するデータ処理の方法を提供
することを目的とする。Therefore, an object of the present invention is to provide a data processing method for detecting an element other than the movement of the human body and detecting the human body accurately from the waveform of an output signal containing various electric noises.
【0006】[0006]
【課題を解決するための手段】本発明による人体検知た
めのデータ処理方法は、複数の赤外線センサを空気調和
機に設け、それぞれの赤外線センサの出力信号をデータ
処理するものであり、極点を求めるための出力信号波形
取得処理と、飽和した出力信号の極点を近似して求める
所定範囲外入力信号処理と、各種のノイズを除去するた
めの外乱誤検知防止処理と、極点から求めた振幅と周波
数を複数の特定の範囲のランクにあてはめる振幅・周波
数ランク判定処理と、判定された結果から複数の赤外線
センサの出力信号を互いに比較する振幅・周波数ランク
比較処理と、それぞれの赤外線センサの検知領域と一部
分重複する重畳検知領域のすべてについて個々に人体検
出するための検知領域別人体検知判定処理との各処理過
程からなる。A data processing method for detecting a human body according to the present invention is to provide a plurality of infrared sensors in an air conditioner and process the output signals of the respective infrared sensors for data processing. Output signal waveform acquisition processing for processing, input signal processing outside the predetermined range that is obtained by approximating the poles of the saturated output signal, disturbance false detection prevention processing to remove various noises, amplitude and frequency obtained from the poles Amplitude / frequency rank determination processing that applies to the ranks of a plurality of specific ranges, amplitude / frequency rank comparison processing that compares the output signals of a plurality of infrared sensors with each other from the determined results, and the detection area of each infrared sensor The process includes a human body detection determination process for each detection region for individually detecting a human body for all overlapping detection regions that partially overlap each other.
【0007】[0007]
【作用】出力信号波形取得処理では、赤外線センサの出
力信号の波形を一定間隔でサンプリングして微分係数を
求め、微分係数の符号が変化するときを波形の極点とし
て極点間の出力値の差を出力レベルとし、極点間の時間
差から周期を算出して周波数としてとらえる。所定範囲
外入力信号処理では、極点を求める際に出力信号の波形
が飽和したときに飽和状態の中間を極点として近似し、
外乱誤検知防止処理では、極点間の時間差が特に小さい
場合は高周波ノイズとしてキャンセルする。In the output signal waveform acquisition processing, the waveform of the output signal of the infrared sensor is sampled at regular intervals to obtain the differential coefficient, and when the sign of the differential coefficient changes, the difference between the output values between the polar points is taken as the polar point of the waveform. The output level is used, and the period is calculated from the time difference between the poles and is taken as the frequency. In the input signal processing outside the predetermined range, when the waveform of the output signal is saturated when finding the pole, the middle of the saturated state is approximated as the pole,
In the disturbance erroneous detection prevention process, if the time difference between the poles is particularly small, it is canceled as high frequency noise.
【0008】さらに、振幅・周波数ランク判定処理では
複数の赤外線センサのそれぞれの出力信号の出力レベル
を人数に対応してランク分けし、出力信号の周波数を人
体の具体的な動きに対応してランク分けし、振幅・周波
数ランク比較処理ではランク分けした複数の赤外線セン
サの出力信号を互いに比較し、検知領域別人体検知判定
処理では、ランク分けされた結果からそれぞれの赤外線
検知領域と一部分重複する重畳領域のいずれにあるか人
体の存在領域とその人数を判定する。Further, in the amplitude / frequency rank determination processing, the output levels of the output signals of the plurality of infrared sensors are classified according to the number of persons, and the frequencies of the output signals are ranked according to the specific movement of the human body. In the amplitude / frequency rank comparison process, the output signals of the infrared sensors that have been divided into ranks are compared with each other, and in the human body detection determination process for each detection area, the overlapping results partially overlap each infrared detection area from the ranked results. The existence area of the human body and the number of people are determined.
【0009】[0009]
【実施例】本発明を図面に示す実施例に基づいて説明す
る。図1は本発明に係る空気調和機1であって、人体を
検出するための2個の赤外線センサ、左側赤外線センサ
2と右側赤外線センサ3が設けられており、それぞれの
センサの検出領域を床に対比すれば左側センサは左側検
知領域4、右側センサは右側検知領域5を検知してお
り、それぞれの領域の一部を重複させて重畳検知領域6
としている。DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described based on the embodiments shown in the drawings. FIG. 1 shows an air conditioner 1 according to the present invention, which is provided with two infrared sensors for detecting a human body, a left infrared sensor 2 and a right infrared sensor 3, and a detection area of each sensor is a floor. In contrast, the left side sensor detects the left side detection area 4, and the right side sensor detects the right side detection area 5.
I am trying.
【0010】図2は空気調和機1から0.9m離れた人
体を検出したときの赤外線センサの信号を図示しない増
幅回路によって増幅したあとの波形であって左側赤外線
センサ2と右側赤外線センサ3のそれぞれの出力信号を
同時に示している。さらに図3は2個の赤外線センサに
より2.7m離れた人体を検出したときの左側赤外線セ
ンサ2と右側赤外線センサ3のそれぞれの出力信号を同
時に示している。FIG. 2 shows waveforms of the left infrared sensor 2 and the right infrared sensor 3 after the signal of the infrared sensor when a human body 0.9 m away from the air conditioner 1 is detected is amplified by an amplifier circuit (not shown). Each output signal is shown at the same time. Further, FIG. 3 simultaneously shows respective output signals of the left infrared sensor 2 and the right infrared sensor 3 when a human body at a distance of 2.7 m is detected by the two infrared sensors.
【0011】図4は人体検知方法の概要を示すブロック
図であって以下に述べるデータ処理を経て人体検知され
る。まず左側赤外線センサ2と右側赤外線センサ3の信
号がそれぞれ図示されない増幅回路で増幅されて出力信
号波形となる。この出力信号波形は出力信号波形取得処
理7によって振幅と周期が算出され、つぎに所定範囲外
入力信号処理8によって信号レベルが大きく飽和した出
力信号波形であっても周期が算出される。さらに外乱誤
検知防止処理9により所定レベル以下の小さい周期の出
力信号はノイズとしてキャンセルされ、振幅・周波数ラ
ンク判定処理10により振幅をランクに分けて人数に対
比して判定し、周波数をランクに分けて人の動きかどう
かすなわち人体かどうかを判定する。FIG. 4 is a block diagram showing an outline of the human body detecting method, and the human body is detected through the data processing described below. First, the signals of the left infrared sensor 2 and the right infrared sensor 3 are respectively amplified by an amplifier circuit (not shown) to form an output signal waveform. The amplitude and period of this output signal waveform are calculated by the output signal waveform acquisition process 7, and then the period is calculated by the out-of-predetermined-range input signal process 8 even if the output signal waveform is highly saturated. Further, the disturbance error detection prevention processing 9 cancels the output signal of a small cycle below a predetermined level as noise, and the amplitude / frequency rank determination processing 10 divides the amplitude into ranks and makes a judgment in comparison with the number of people, and divides the frequencies into ranks. It is determined whether the person is moving or the human body.
【0012】これらの左側センサ2と右側センサ3の出
力信号のデータ処理の結果を振幅・周波数ランク比較処
理11によって比較し、検知領域別人体検知判定処理1
2により人体が左側センサ検知領域4か右側センサ検知
領域5かあるいは重畳検知領域6のいずれにあるか判定
される。The results of the data processing of the output signals of the left sensor 2 and the right sensor 3 are compared by the amplitude / frequency rank comparison processing 11, and the human body detection determination processing 1 for each detection area is performed.
It is determined by 2 whether the human body is in the left side sensor detection area 4, the right side sensor detection area 5, or the superposition detection area 6.
【0013】つぎに、それぞれのデータ処理の過程を詳
細を述べる。図5は出力信号波形取得処理7におけるデ
ータ処理過程の概要を示すフローチャートであり、左側
センサ2と右側センサ3のそれぞれの出力信号から所定
の取得周期でサンプル値を入力し、それらの最新入力信
号S(n)とひとつ前の周期で取得した直前入力信号S
(n‐1)とを順次一時記憶しておき(ステップS1)、
S(n)とS(n−1)の差をとり微分処理して微分値を得
る(ステップS2)。つぎにその微分値の正負の符号を
判別し(ステップS3)、符号が正から負あるいは負か
ら正へと反転するかどうかをみる(ステップS4)。符
号が反転したときには出力信号が極点を生じたとして極
点を検出し(ステップS5)、つぎの極点が検出された
とき前回の極点とのそれぞれの出力信号の値の差から振
幅が求められて最新振幅算出がなされ(ステップS
6)、さらにこれらの極点間の2倍の時間を周期とする
ことによって最新周期算出がなされる(ステップS
7)。Next, the process of each data processing will be described in detail. FIG. 5 is a flow chart showing the outline of the data processing process in the output signal waveform acquisition processing 7. Sample values are input from the respective output signals of the left sensor 2 and the right sensor 3 at a predetermined acquisition cycle, and the latest input signal S (n) and the immediately preceding input signal S acquired in the immediately preceding cycle
and (n-1) are sequentially temporarily stored (step S1),
The difference between S (n) and S (n-1) is taken to obtain a differential value (step S2). Next, the positive / negative sign of the differential value is discriminated (step S3), and it is checked whether the sign is inverted from positive to negative or from negative to positive (step S4). When the sign is inverted, it is determined that the output signal has a pole, and the pole is detected (step S5). When the next pole is detected, the amplitude is obtained from the difference between the values of the respective output signals and the previous pole, and the latest pole is detected. The amplitude is calculated (step S
6) Further, the latest period is calculated by setting a period twice as long as the period between these poles (step S).
7).
【0014】図6は所定範囲外入力信号処理8における
データ処理の概要を示すフローチャートであり、最新入
力信号S(n)を所定の取得周期で入力し(ステップS1
0)、所定の上限レベルよりも大きいかどうかをみて
(ステップS11)、大きいときにはその極値を+極値
として値を上限レベルの値に更新する(ステップS1
2)、同様に所定の下限レベルよりも小さいかどうかを
みて(ステップS13)、小さいときにはその極値を−
極値として値を下限レベル値に更新する(ステップS1
4)。そしてこれらの状態が連続すると(ステップS1
5)始めのときと最後のときの中間を極値の位置としマ
イコン等のレジスタに記憶してレジスタ位置とし(ステ
ップS16)、上限レベル値に関する極値の中間のレジ
スタ位置と下限レベル値に関する極値の中間のレジスタ
位置とからこの間の2倍の時間を周期とすることによっ
て(ステップS17)入力信号が飽和したときも近似的
に最新周期を算出することができる。FIG. 6 is a flow chart showing an outline of data processing in the outside-predetermined-range input signal processing 8. The latest input signal S (n) is input at a predetermined acquisition cycle (step S1).
0), it is checked whether or not it is larger than a predetermined upper limit level (step S11).
2) Similarly, it is checked whether or not it is smaller than a predetermined lower limit level (step S13).
The value is updated to the lower limit level value as the extreme value (step S1)
4). When these states continue (step S1
5) The middle of the beginning and the end is set as the extreme value position and stored in a register such as a microcomputer as a register position (step S16), and the intermediate register position of the extreme value concerning the upper limit level value and the pole concerning the lower limit value are set. By setting the period from the register position in the middle of the value to twice as long as the period (step S17), the latest period can be approximately calculated even when the input signal is saturated.
【0015】図7は外乱誤検知防止処理9であり、S
(n)とS(n-1)の差を取り微分値としてその微分値の符
号反転があったときには(ステップS20)極点を検出
し(ステップS21)、極点間の時間から最新の周期を
算出するが(ステップS33)その周期が所定レベル範
囲よりも小さいときには直前の極値をキャンセルして極
値を更新せずに新たな極点を検出し(ステップS2
4)、所定レベル範囲よりも大きいときには人体検知の
極点として極値を更新することによって(ステップS2
5)小さい周期をノイズとしてキャンセルする。FIG. 7 shows the disturbance erroneous detection prevention processing 9, S
When the difference between (n) and S (n-1) is taken as the differential value and the sign of the differential value is inverted (step S20), the pole is detected (step S21), and the latest cycle is calculated from the time between the poles. However, when the cycle is smaller than the predetermined level range (step S33), the immediately preceding extreme value is canceled and a new extreme point is detected without updating the extreme value (step S2).
4) When it is larger than the predetermined level range, the extreme value is updated as the extreme point of human body detection (step S2).
5) Cancel a small cycle as noise.
【0016】図8は振幅・周波数ランク判定処理10で
あり、出力信号S(n)とS(n−1)から微分値を求めて
極点を検出し(ステップS30)、小さい周期をノイズ
としてキャンセルしながら極値を更新してゆき(ステッ
プS31)極点間のレベルから最新の振幅を算出する
(ステップS32)。赤外線センサの出力信号は検出領
域の人数にほぼ比例するので人数が0の場合、1〜2の
場合、3〜5の場合、6以上の場合に対応するように最
大の振幅を4ランクに分けることによって振幅ランクを
決定する(ステップS33)。FIG. 8 shows an amplitude / frequency rank determination processing 10, in which a differential value is obtained from the output signals S (n) and S (n-1) to detect a pole (step S30), and a small cycle is canceled as noise. While updating the extreme value (step S31), the latest amplitude is calculated from the level between the extreme points (step S32). Since the output signal of the infrared sensor is almost proportional to the number of people in the detection area, the maximum amplitude is divided into four ranks so as to correspond to cases where the number of people is 0, 1 to 2, 3 to 5, and 6 or more. Thus, the amplitude rank is determined (step S33).
【0017】ここで、表1の人体の活動周波数範囲に示
すように、人の動作の状態を周波数でみるとテレビを見
ながらコーヒーを飲む等の人間の無意識な行動のゆっく
りした動きの限界の周波数は0.3Hzであり、日常の
歩行等、普通の行動の胴体の動きの周波数は1Hzが中
心値となり、普通の行動の手足の動きの周波数の中心値
は5Hzとなる。そしてころぶ等の人間の無意識な行動
の最も速い限界は10Hzであり、この表1により周波
数についてもランク分けする。Here, as shown in the activity frequency range of the human body in Table 1, when looking at the state of human motion in terms of frequency, there is a limit of the slow motion of unconscious human actions such as drinking coffee while watching TV. The frequency is 0.3 Hz, and the body movement frequency of normal behavior such as daily walking has a center value of 1 Hz, and the center frequency of limb movement of normal behavior is 5 Hz. The fastest limit of unconscious behavior of humans such as falling is 10 Hz, and the frequencies are also ranked according to Table 1.
【0018】[0018]
【表1】 [Table 1]
【0019】図8に戻ると、極点間の時間から最新の周
期を算出し(ステップS34)、周期の逆数をとって周
波数を得る。表1と同様に周波数が0.1Hz未満のと
きは低周波ノイズとし、0.1〜0.5Hzのとき人体
の無意識なゆっくりした行動、0.5〜3Hzのとき普
通の行動の胴体の動き、3〜8Hzのとき普通行動の手
足の動き、8〜13Hzのとき無意識な行動の最も速い
動き、13Hzを越えると高周波ノイズとして周波数ラ
ンクの範囲を決定する(ステップS35)。そしてこれ
らの結果から振幅ランクと周波数ランクをどの組み合わ
せに出力信号があてはまるか図4の振幅・周波数ランク
比較処理11で比較して人体の動作状況を特定する。Returning to FIG. 8, the latest cycle is calculated from the time between poles (step S34), and the frequency is obtained by taking the reciprocal of the cycle. Similar to Table 1, low frequency noise is used when the frequency is less than 0.1 Hz, unconscious slow action of the human body when the frequency is 0.1 to 0.5 Hz, and normal body movement when the frequency is 0.5 to 3 Hz. When the frequency is 3 to 8 Hz, the movement of the limbs of the normal behavior, when 8 to 13 Hz, the fastest movement of the unconscious behavior, and when it exceeds 13 Hz, the frequency rank range is determined as high frequency noise (step S35). Based on these results, which combination of the amplitude rank and the frequency rank the output signal applies to is compared in the amplitude / frequency rank comparison processing 11 of FIG. 4 to specify the operating condition of the human body.
【0020】つぎに、これまでの処理を左側赤外線セン
サ2と右側赤外線センサ3のそれぞれについて行い、両
者の検知する領域に関する人体の動作状況を判定するた
めに検知領域別人体検知判定処理12を行う。図9は検
知領域別人体検知判定処理12aであり、左右のセンサ
の振幅ランクが共に最小かどうかをみて(ステップS4
0)、共に最小のときは左側赤外線センサ検知領域4と
右側赤外線センサ検知領域および重畳検知領域6すべて
の検知領域に人体が不在と判定する(ステップS4
3)。どちらか一方の振幅ランクが最小のときには重畳
領域6に人体が不在と判定され(ステップS41)、重
畳検知領域6以外の振幅ランクが最小でない領域に人体
が在室すると判定される(ステップS43)。Next, the processing up to this point is performed for each of the left infrared sensor 2 and the right infrared sensor 3, and the human body detection determination processing 12 for each detection area is performed to determine the operating condition of the human body regarding the areas detected by both. . FIG. 9 shows the human body detection determination processing 12a for each detection area, and checks whether the amplitude ranks of the left and right sensors are both the minimum (step S4).
0), when both are minimum, it is determined that the human body is absent in all of the left infrared sensor detection area 4, the right infrared sensor detection area, and the superposition detection area 6 (step S4).
3). When either one of the amplitude ranks is the smallest, it is determined that the human body is absent in the superimposition region 6 (step S41), and it is determined that the human body is present in a region other than the superposition detection region 6 where the amplitude rank is not the smallest (step S43). .
【0021】図10はまた検知領域別人体検知判定処理
12aであり、左右のセンサの振幅ランクが共に最小か
どうかをみて(ステップS50)、共に最小のときは同
様にすべての検知領域に人体が不在と判定し(ステップ
S51)、左右のセンサの振幅ランクが最小以外で同じ
ランクかどうかをみ(ステップS52)、さらに左右の
センサの周波数ランクが同じランクかどうかをみて(ス
テップS53)周波数ランクと振幅ランクが共に同じと
きに限り重畳検知領域6に人体が在室と判定し(ステッ
プS54)、左右いずれかの検知領域に人体があれば出
力信号は互いに異なる波形を示して振幅ランクと周波数
ランクが共に等しくなることがないので左側センサ検知
領域4と右側センサ検知領域5には共に人体が不在と判
定される(ステップS55)。FIG. 10 also shows the human body detection determination processing 12a for each detection area. It is checked whether the amplitude ranks of the left and right sensors are both the minimum (step S50). When both are the minimum, the human body is similarly detected in all the detection areas. It is determined that there is no sensor (step S51), the left and right sensors have the same amplitude rank other than the minimum rank (step S52), and the left and right sensors have the same frequency rank (step S53). And the amplitude rank are both the same, it is determined that a human body is present in the superposition detection area 6 (step S54), and if there is a human body in either the left or right detection area, the output signals show different waveforms and the amplitude rank and the frequency are different. Since the ranks are not the same, it is determined that no human body is present in both the left sensor detection area 4 and the right sensor detection area 5 (step S55).
【0022】以上の説明では赤外線検出センサが2個の
場合について述べたが、3個以上の複数の場合でも同様
である。In the above description, the case where there are two infrared ray detection sensors has been described, but the same applies to the case where there are a plurality of infrared ray detection sensors.
【0023】[0023]
【発明の効果】本発明の人体検知方法によれば、上記の
ように赤外線センサの出力信号から人体の有無を判定す
るときに、あらかじめ実験により求めた人数に対応して
ランク分けした振幅や人体の行動の状態に対応してラン
ク分けした周波数に対して、出力信号から抽出した振幅
と周波数をあてはめて人体の有無を判定するので、赤外
線センサが複数設けられても回路や検知距離、検知領域
に起因すると考えられる複数の赤外線センサの出力信号
の位相差を考慮しなくてもよく、データ処理が簡単にな
る。According to the human body detecting method of the present invention, when determining the presence or absence of the human body from the output signal of the infrared sensor as described above, the amplitude and the human body which are classified into ranks corresponding to the number of people obtained by experiments in advance. Since the presence or absence of the human body is determined by applying the amplitude and frequency extracted from the output signal to the frequencies classified according to the behavior states of the human body, even if multiple infrared sensors are provided, circuits, detection distances, detection areas It is not necessary to consider the phase difference of the output signals of the plurality of infrared sensors, which is considered to be caused by the above, and the data processing is simplified.
【0024】また赤外線センサの出力信号が飽和したと
きには、飽和状態の中間点を極点に近似するので、赤外
線センサの信号の増幅回路は比較的簡単なものでよく、
調節も容易になる。ランク分けした振幅やランク分けし
た周波数にあてはめることによって人体を検出するので
精度が高く、周波数の中心値に示される人体の行動状態
に応じて空気調和機をよりきめ細かく制御することが可
能となる。Further, when the output signal of the infrared sensor is saturated, the intermediate point of the saturated state is approximated to the pole, so that the signal amplifying circuit of the infrared sensor may be relatively simple.
Adjustment is also easy. Since the human body is detected by applying it to the rank-divided amplitude or the rank-divided frequency, the accuracy is high, and the air conditioner can be controlled more finely according to the behavior state of the human body indicated by the center value of the frequency.
【図1】本発明方法に係る2個の赤外線センサを備えた
空気調和機の検知領域を示す図である。FIG. 1 is a diagram showing a detection region of an air conditioner equipped with two infrared sensors according to the method of the present invention.
【図2】本発明方法に係る2個の赤外線センサの0.9
mの距離の人体の出力信号波形図である。FIG. 2 shows 0.9 of two infrared sensors according to the method of the present invention.
It is an output signal waveform diagram of a human body at a distance of m.
【図3】本発明方法に係る2個の赤外線センサの2.7
mの距離の人体の出力信号波形図である。FIG. 3 2.7 of two infrared sensors according to the method of the invention.
It is an output signal waveform diagram of a human body at a distance of m.
【図4】本発明方法に係るデータ処理過程を示す概要ブ
ロック図である。FIG. 4 is a schematic block diagram showing a data processing process according to the method of the present invention.
【図5】本発明方法に係るデータ処理過程の出力信号波
形取得処理のフローチャートである。FIG. 5 is a flowchart of an output signal waveform acquisition process in a data processing process according to the method of the present invention.
【図6】本発明方法に係るデータ処理過程の所定範囲外
入力信号処理のフローチャートである。FIG. 6 is a flowchart of input signal processing outside a predetermined range in a data processing process according to the method of the present invention.
【図7】本発明方法に係るデータ処理過程の外乱誤検知
防止処理のフローチャートである。FIG. 7 is a flowchart of disturbance error detection prevention processing in a data processing process according to the method of the present invention.
【図8】本発明方法に係るデータ処理過程の振幅・周波
数ランク判定処理フローチャートである。FIG. 8 is an amplitude / frequency rank determination processing flowchart of a data processing process according to the method of the present invention.
【図9】本発明方法に係る重畳領域に人がないときの検
知領域別人体検知判定処理のフローチャートである。FIG. 9 is a flowchart of human body detection determination processing for each detection area when there is no person in the overlapping area according to the method of the present invention.
【図10】本発明方法に係る重畳領域に人がいるときの
検知領域別人体検知判定処理のフローチャートである。FIG. 10 is a flowchart of human body detection determination processing for each detection area when a person is present in the overlapping area according to the method of the present invention.
2 左側赤外線センサ 3 右側赤外線センサ 4 左側赤外線センサ検知領域 5 右側赤外線センサ検知領域 6 重畳検知領域 7 出力信号波形取得処理 8 所定範囲外入力信号処理 9 外乱誤検知防止処理 10 振幅・周波数ランク判定処理 11 振幅・周波数ランク比較処理 12 検知領域別人体検知判定処理 2 Left infrared sensor 3 Right infrared sensor 4 Left infrared sensor detection area 5 Right infrared sensor detection area 6 Superimposition detection area 7 Output signal waveform acquisition processing 8 Input signal processing outside predetermined range 9 Disturbance false detection prevention processing 10 Amplitude / frequency rank determination processing 11 Amplitude / frequency rank comparison processing 12 Human body detection judgment processing by detection area
Claims (3)
知センサを備えた空気調和機において、人体検知センサ
の出力信号を所定の周期でサンプリングして微分係数を
求め、該微分係数の符号が変化するところを極点として
極点間のレベルの差を出力レベルとし、かつ前記極点間
の時間差から周波数を求めて入力データとし、出力レベ
ルを人数に対応する範囲ごとにランクに分けし、周波数
を人体の各種の動作に対応する特定の周波数のレベルの
範囲ごとにランクに分けたものと前記入力データを比較
し、前記入力データがそれらのランクのいずれかに共に
含まれるとき人体が存在すると判定することを特徴する
空気調和機の人体検知方法。1. An air conditioner equipped with a human body detection sensor for detecting infrared rays radiated by a human body, the output signal of the human body detection sensor is sampled at a predetermined cycle to obtain a differential coefficient, and the sign of the differential coefficient is changed. Where the pole is the pole and the level difference between the poles is the output level, and the frequency is obtained from the time difference between the poles as the input data, and the output level is divided into ranks for each range corresponding to the number of people, and the frequency of the human body Comparing the input data with those classified into ranks for each level range of a specific frequency corresponding to various operations, and determining that a human body exists when the input data is included in any of those ranks. A human body detection method for an air conditioner.
き、飽和状態にある出力信号の中間点を極点とすること
を特徴とする請求項1記載の空気調和機の人体検知方
法。2. The human body detection method for an air conditioner according to claim 1, wherein, when the output signal of the human body detection sensor is saturated, a midpoint of the output signal in the saturated state is set as a pole point.
作に対応する特定の周波数の中心値を、人体の最もゆっ
くりした行動のとき0.3Hz、普通の行動における胴
体の動きのとき1Hz、普通の行動における手足の動き
のとき5Hz、人体の最も速い行動のとき10Hzとし
て周波数をランク分けしたことを特徴とする請求項1記
載の空気調和機の人体検知方法。3. A center value of a specific frequency corresponding to various movements of the human body in the human body detection sensor is 0.3 Hz for the slowest movement of the human body, 1 Hz for the movement of the body during normal movement, and The human body detection method for an air conditioner according to claim 1, wherein the frequencies are classified into 5 Hz for the movements of the limbs in the action and 10 Hz for the fastest action of the human body.
Priority Applications (1)
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JP20692694A JP3165596B2 (en) | 1994-08-31 | 1994-08-31 | Air conditioner human body detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP20692694A JP3165596B2 (en) | 1994-08-31 | 1994-08-31 | Air conditioner human body detection method |
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JPH0875216A true JPH0875216A (en) | 1996-03-19 |
JP3165596B2 JP3165596B2 (en) | 2001-05-14 |
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ID=16531361
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009087074A (en) * | 2007-09-28 | 2009-04-23 | Panasonic Electric Works Co Ltd | Equipment control system |
JP2010032103A (en) * | 2008-07-29 | 2010-02-12 | Hitachi Appliances Inc | Air conditioner |
WO2010041300A1 (en) * | 2008-10-06 | 2010-04-15 | 日立アプライアンス株式会社 | Air conditioner |
US9909777B2 (en) * | 2015-08-26 | 2018-03-06 | Google Llc | Thermostat with multiple sensing systems including presence detection systems integrated therein |
WO2020096075A1 (en) * | 2018-11-06 | 2020-05-14 | (주)티엔에치넷 | Directional infrared sensor for sensing movement direction by using pinhole phenomenon |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1997047165A1 (en) | 1996-06-07 | 1997-12-11 | Asahi Kasei Kogyo Kabushiki Kaisha | Resin-carrying metal foil for multilayered wiring board, process for manufacturing the same, multilayered wiring board, and electronic device |
CN104089375B (en) * | 2014-07-04 | 2017-04-05 | 四川长虹电器股份有限公司 | A kind of method and air-conditioning of control air-conditioning |
-
1994
- 1994-08-31 JP JP20692694A patent/JP3165596B2/en not_active Expired - Lifetime
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009087074A (en) * | 2007-09-28 | 2009-04-23 | Panasonic Electric Works Co Ltd | Equipment control system |
JP2010032103A (en) * | 2008-07-29 | 2010-02-12 | Hitachi Appliances Inc | Air conditioner |
WO2010041300A1 (en) * | 2008-10-06 | 2010-04-15 | 日立アプライアンス株式会社 | Air conditioner |
JP2010091142A (en) * | 2008-10-06 | 2010-04-22 | Hitachi Appliances Inc | Air conditioner |
US9909777B2 (en) * | 2015-08-26 | 2018-03-06 | Google Llc | Thermostat with multiple sensing systems including presence detection systems integrated therein |
WO2020096075A1 (en) * | 2018-11-06 | 2020-05-14 | (주)티엔에치넷 | Directional infrared sensor for sensing movement direction by using pinhole phenomenon |
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