JPH0413026A - Air conditioner - Google Patents

Air conditioner

Info

Publication number
JPH0413026A
JPH0413026A JP2113311A JP11331190A JPH0413026A JP H0413026 A JPH0413026 A JP H0413026A JP 2113311 A JP2113311 A JP 2113311A JP 11331190 A JP11331190 A JP 11331190A JP H0413026 A JPH0413026 A JP H0413026A
Authority
JP
Japan
Prior art keywords
temperature
human body
amount
sensor
air
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.)
Pending
Application number
JP2113311A
Other languages
Japanese (ja)
Inventor
Sachio Nagamitsu
左千男 長光
Yoichi Nagata
陽一 永田
Nobuhiro Hattori
宜弘 服部
Hisashi Kodama
久 児玉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Panasonic Holdings Corp
Original Assignee
Matsushita Electric Industrial Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Matsushita Electric Industrial Co Ltd filed Critical Matsushita Electric Industrial Co Ltd
Priority to JP2113311A priority Critical patent/JPH0413026A/en
Publication of JPH0413026A publication Critical patent/JPH0413026A/en
Pending legal-status Critical Current

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  • Air Conditioning Control Device (AREA)

Abstract

PURPOSE:To obtain predetermined comfortable feeling by a resident in a real time by estimating a wearing amount from presence or absence, position, acting amount of a human body, and temperature distribution of a human body surface by an infrared ray sensor, and accurately calculating to predict a comfortable index near the body. CONSTITUTION:A plurality of temperature image informations obtained by an infrared ray sensor 3 are once stored in a temperature image memory 8, and a surface temperature of a resident, an interior, etc., in a room is calculated from the informations stored at each time by a temperature image calculator 9. On the other hand, a human body detection sensor 4 senses a behavior in the room by a solid state imaging tube, and recorded in a human body image sensor 10 at each time. If an active amount and a wearing amount are obtained by the sensors 3, 4, a comfortable index such as PMV(Predicted Mean Vote), etc., can be sufficiently predicted by a comfortable controller 12. Further, since the position information of the resident is obtained, if diffusing amount and direction are fed back to a diffuser 1, a suitable comfortable value (PMV=+ or -0.5) can be applied to the resident.

Description

【発明の詳細な説明】 産業上の利用分野 本発明は空調用の吹出口や輻射パネルを有する空気調和
装置に関する。
DETAILED DESCRIPTION OF THE INVENTION Field of the Invention The present invention relates to an air conditioner having an air conditioning outlet and a radiant panel.

従来の技術 従来 吹出口を室内に向は壁近傍に据え付けられる空気
調和装置としては 例えは第3図に示すよう(ミ 熱交
換され所定の温度、流速を有する空気を供給するため室
内に面して設置された吸込口10から室内空気を吸引し
 吹出口11から空気を送り出していj島  この空気
調和装置において(よ吸込口10における温度と吹出口
11での温度・風速から室内の平均的な快適指標を予測
し その結果吹出口11の温度・風速を制御するように
なっていt、:。
Conventional Technology Conventional An air conditioner installed near a wall with its outlet facing indoors is, for example, shown in Figure 3. In this air conditioner, indoor air is sucked in through the suction port 10 installed at The comfort index is predicted and, as a result, the temperature and wind speed of the air outlet 11 are controlled.

発明が解決しようとする課題 しかし 吸込口10における温度と吹出口11における
温度と風速とからのみによる室内の快適指標の予測はか
なり不確実なものであっ?、  室内形状、広さや在室
者の人数、年舷 活動量 さらに着衣量まで考慮するこ
とはほとんど不可能であつ九 そのため番ミ  在室者
に十分な快適感を提供することは・できなかっf、:。
Problems to be Solved by the Invention However, isn't it quite uncertain to predict the indoor comfort index based only on the temperature at the inlet 10, the temperature at the outlet 11, and the wind speed? It is almost impossible to take into account the shape and size of the room, the number of people in the room, the age of the ship, the amount of activity, and even the amount of clothing worn. , :.

また 赤外線センサを用いて人体の有無・活動量と同時
に人体皮膚温度を測定して人の快適感を予測するものも
あった力(人体皮膚温度の変化が非常に小さいためにコ
スト高になったり、十分な快適性を予測することか困難
であった このように従来の空気調和装置は まだまだ改善の余地
があり、最適ではなかっ九 本発明は上述の問題点を解消し 快適な空調が行える空
気調和装置を提供することを目的とする。
In addition, there is a method that uses an infrared sensor to measure the presence or absence of a human body and the level of activity as well as the human skin temperature to predict a person's sense of comfort. However, it was difficult to predict sufficient comfort.As such, there is still room for improvement in conventional air conditioners, and they are not optimal. The purpose is to provide a harmonization device.

課題を解決するための手段 本発明(よ 赤外線センサから得られる複数個の温度画
像情報を記憶する複数個の温度画像メモリと、前記温度
画像情報をデジタル処理して人体の有無・位置・活動量
と人体表面の温度分布から着衣量を推算可能な温度画像
演算装置とを設け、その他のセンサからの情報と前記画
像演算装置とをリンクして人体近傍における快適指標を
予測算出することにより所定の快適値となるよう吹出口
あるいは輻射パネルを制御することを特徴とする。
Means for Solving the Problems The present invention includes a plurality of temperature image memories that store a plurality of pieces of temperature image information obtained from an infrared sensor, and digitally processing the temperature image information to determine the presence/absence, position, and activity level of a human body. and a temperature image calculation device capable of estimating the amount of clothing worn from the temperature distribution on the surface of the human body, and link information from other sensors with the image calculation device to predict and calculate a comfort index near the human body. It is characterized by controlling the air outlet or the radiation panel to achieve a comfortable value.

また さらに人体検出センサと、人体検出センサから得
られる複数個の人体画像情報を記憶する複数個の人体画
像メモリと、人体画像情報をデジタル処理して人体の有
無・位置・活動量を推算可能な人体画像演算装置を設け
、人体近傍における快適指標を予測算比することにより
所定の快適値となるよう吹畠は  輻射パネルを制御す
ることを特徴とする。
In addition, there is a human body detection sensor, multiple human body image memories that store multiple pieces of human body image information obtained from the human body detection sensor, and a human body image information that can be digitally processed to estimate the presence/absence, location, and amount of activity of a human body. Fukihata's feature is that it is equipped with a human body image calculation device and controls the radiation panel so that a predetermined comfort value is achieved by predicting and comparing the comfort index near the human body.

作用 本発明において(よ 赤外線センサから得られる複数個
の温度画像情報から人体の有無・位置・活動量のみなら
ずミ 人体表面の温度分布から着衣量を推算して人体近
傍における快適指標を正確に予測算出することにより、
 リアルタイムに在室者か所定の快適感を得ることがで
きる。
Function: In the present invention, the comfort index near the human body can be accurately determined by estimating the amount of clothing not only from the presence/absence, position, and activity level of the human body but also from the temperature distribution on the surface of the human body from multiple temperature image information obtained from infrared sensors. By calculating the prediction,
It is possible to provide a predetermined sense of comfort to the occupants in the room in real time.

また 赤外線センサに加えて、人体検出センサから得ら
れる複数個の人体画像情報をデジタル処理して人体の有
無・位置・活動量をより正確に推算可能とすることによ
って、暖房・冷房、または気流空調・輻射空調に係わら
慣 在室者−人一人に対して省エネルギや快適性の観点
から非常に優れた空調手段を提供することができる。
In addition to infrared sensors, digital processing of multiple human body image information obtained from human body detection sensors makes it possible to more accurately estimate the presence, location, and activity level of a human body.・Even though radiant air conditioning is used, it is possible to provide an air conditioning method that is extremely superior in terms of energy saving and comfort for each occupant.

実施例 次へ 本発明の一実施例を図面に基ついて説明する。第
1図は本発明の一実施例の空気調和装置の概略の構成図
を示している。第3図(a>(b)は上記実施例におけ
る着衣量の演算方法に関する説明医 第2図は制御フロ
ー図であム 図において、 1は吹出[112は輻射パネル、 3は
赤外線センサ、 4は人体検出センサである。5は吹出
口1に設けられた温度湿度センサ、 6は輻射パネル2
の表面温度センサで、 7は室内における壁等の固体か
らの輻射温度を測定するための輻射センサである。
Embodiment Next An embodiment of the present invention will be described based on the drawings. FIG. 1 shows a schematic configuration diagram of an air conditioner according to an embodiment of the present invention. FIG. 3 (a>(b) is an explanation about the method of calculating the amount of clothing in the above embodiment. FIG. 2 is a control flow diagram. In the diagram, 1 is a blowout [112 is a radiation panel, 3 is an infrared sensor, 4 is a control flow diagram. is a human body detection sensor; 5 is a temperature and humidity sensor provided at the air outlet 1; 6 is a radiation panel 2;
A surface temperature sensor 7 is a radiation sensor for measuring the radiation temperature from a solid object such as a wall in the room.

第2図において、赤外線センサ3により得られた複数個
の温度画像情報は 温度画像メモリ8に一旦蓄えられる
。毎時間蓄えられる温度画像情報は温度画像演算装置9
により室内の居住者やインテリア等の表面温度が算出さ
れる。−人 人体検出センサ4は室内の挙動を固体撮像
管によってとらえ 人体画像メモリ10に時間毎に記録
される。
In FIG. 2, a plurality of pieces of temperature image information obtained by the infrared sensor 3 are temporarily stored in a temperature image memory 8. The temperature image information stored every hour is stored in the temperature image calculation device 9.
The surface temperature of the occupants in the room, the interior, etc. is calculated. -Human The human body detection sensor 4 captures the behavior in the room using a solid-state image pickup tube, and records it in the human body image memory 10 every hour.

その人体画像情報は人体画像演算装置11によりデジタ
ル処理され 特に居住者の有無・位置・活動量を算出す
る。この人体画像演算結果から判断される人間の輪郭に
関する情報は 同時刻の温度画像演算結果にフィードバ
ックすることによって、人間の表面温度分布をかなり正
確に捕らえることができる。特へ 居住域の快適指標の
計算に必須の居住者の着衣状況に関してζ友 腕と足の
露出による差異が分かれば十分予測可能であム 第3図
(a)(b)のよう凶 着衣量の判断する際には頭部の
温度画像情報は除去する方が良(〜 なぜならば人の表
裏により顔のみが表面温度が最も大きく異なるからであ
a なお第3図において斜線部分は着衣部を示していも このよう&へ 気流空調の場合においては吹出口1にお
ける空気の温度湿度センサ5と送風量 送風方向が既知
である。そして、居住域の平均輻射温度は輻射センサ7
により得られる輻射温度とほぼ等しいとして求めること
ができる。これに赤外線センサ3と人体検出センサ4に
よる活動量と着衣量が分かれは 快適制御装置12によ
りPMV(Predicted Mean Vote)
等の快適指標は十分予測できも しかk 居住者の位置
情報もあるので、吹き出し量と方向を吹出口1にフィー
ドバックしてやれは 適切な快適値(PMV=±0.5
以内)を居住者に与えることが可能となるのである。
The human body image information is digitally processed by the human body image calculation device 11, and in particular, the presence/absence, location, and amount of activity of residents are calculated. By feeding back information about the human contour determined from the human body image calculation results to the temperature image calculation results at the same time, it is possible to capture the human surface temperature distribution fairly accurately. In particular, regarding the clothing status of the occupants, which is essential for calculating the comfort index of the living area, it is possible to predict the amount of clothing worn by the occupants if the differences due to exposure of the arms and legs are known. When making judgments, it is better to remove the temperature image information of the head (~ because the surface temperature of the face varies the most depending on the front and back of the person.a In Figure 3, the shaded area indicates the clothing In the case of airflow air conditioning, the temperature and humidity sensor 5 of the air at the outlet 1, the air flow rate, and the direction of air flow are known.Then, the average radiant temperature of the living area is determined by the radiation sensor 7.
It can be determined that the radiation temperature is approximately equal to the radiation temperature obtained by In addition, the infrared sensor 3 and human body detection sensor 4 separate the amount of activity and amount of clothing, and the comfort control device 12 gives a PMV (Predicted Mean Vote).
Although the comfort index such as K can be predicted sufficiently, since the position information of the occupant is also available, it is necessary to feed back the air volume and direction to the air outlet 1 to obtain an appropriate comfort value (PMV = ±0.5
This makes it possible to provide residents with the following:

また 輻射空調の場合には輻射パネル2を使用する力丈
 この際には輻射センサ7の室内取り付は位置に注意が
必要である。居住者造像 あるいは少なくとも輻射パネ
ルに対面する壁近傍が適切である。ただし この時の制
御フローは気流空調と同じである。もちろん 気流と輻
射の併用も可能である。
In addition, in the case of radiant air conditioning, the power required to use the radiant panel 2 is high.In this case, it is necessary to pay attention to the position when installing the radiant sensor 7 indoors. An image of a resident or at least near a wall facing the radiant panel is appropriate. However, the control flow at this time is the same as airflow air conditioning. Of course, a combination of airflow and radiation is also possible.

ここで、人体画像センサ4、人体画像メモリ10、人体
画像演算装置11 L  居住者の有無・位置・活動量
、さらに着衣量算出にとって、必ずしも必要であるとは
限らないのである。赤外線センサ3により得られる時間
毎の温度画像情報を高速デジタル処理することからも人
体画像センサ4はど信頼性は高くはない力(比較的精度
良く人体の挙動を把握できる。従って、着衣量も予測す
ることは可能である。つまり、人体画像情報を扱わなく
とL 温度画像情報のみによってL 本実施例と同様の
効果を低コストにより実現できるのである。
Here, the human body image sensor 4, the human body image memory 10, and the human body image arithmetic unit 11L are not necessarily necessary for calculating the presence/absence, position, and amount of activity of a resident, as well as the amount of clothing. The human body image sensor 4 is not very reliable due to the high-speed digital processing of the hourly temperature image information obtained by the infrared sensor 3 (it can grasp the behavior of the human body with relatively high accuracy. It is possible to predict this.In other words, without handling human body image information, it is possible to achieve the same effects as in this embodiment at low cost using only temperature image information.

もちろん 夏期冷房における輻射パネル2の表面での結
露防止には潜熱ユニットの使用が望まれる。この場合に
k 温度湿度センサ5を動作させて相対湿度の変化に追
従して制御することが必要である。
Of course, it is desirable to use a latent heat unit to prevent dew condensation on the surface of the radiant panel 2 during summer cooling. In this case, it is necessary to operate the k temperature and humidity sensor 5 to follow and control changes in relative humidity.

さらに 居住者の着衣量、活動量等の値は当初は既成値
としての平均的な値を用いる力\ あるいは居住者によ
る直接のインプット方式を採用しておくことも適切な制
御には大切なポイントであムそして、生活行動パターン
のファジィ予測システムを組み詰んだオールシーズン対
応の制御方法の採用などにより構成することもより高い
精度と信頼性のある空気調和装置を提供するには必要で
ある。
Furthermore, it is important for appropriate control to initially use average values as ready-made values for the amount of clothing and activity of the resident, or to adopt a method of direct input from the resident. In order to provide an air conditioner with higher accuracy and reliability, it is also necessary to adopt a control method that is compatible with all seasons and incorporates a fuzzy prediction system for lifestyle behavior patterns.

ここで、快適指標にはPMV以外の評価方法でも使用可
能である。ま?=PMV評価においては輻射利用の空調
では省エネルギー効果も得られもさらに 本発明のよう
に赤外線センサ3や人体検出センサ4を使用するシステ
ムの場合、室内に空気清浄機を設置して、室内の廖挨等
を完全除去することも信頼性向上には役立つ。
Here, evaluation methods other than PMV can be used as the comfort index. Ma? = In the PMV evaluation, air conditioning using radiation can also provide an energy saving effect, but in the case of a system that uses an infrared sensor 3 and a human body detection sensor 4 as in the present invention, an air purifier is installed indoors and the air conditioning inside the room is Completely removing dust, etc. also helps improve reliability.

発明の効果 本発明によれば 赤外線センサから人体の有無・位置・
活動量のみならず、人体表面の温度分布から着衣量を推
算して人体近傍における快適指標を正確に予測算出する
ことにより、リアルタイムに在室者が所定の快適感を得
ることが可能である。
Effects of the Invention According to the present invention, the presence, location, and presence of a human body can be determined from an infrared sensor.
By estimating the amount of clothing not only from the amount of activity but also from the temperature distribution on the surface of the human body and accurately predicting and calculating the comfort index near the human body, it is possible for the occupants of the room to obtain a predetermined sense of comfort in real time.

さらく 赤外線センサに加えて、人体検出センサを用い
ることにより人体の有無・位置・活動量をより正確に推
算可能とすることによって、暖房・冷態 または気流空
調・輻射空調に係わらず、在室者−人一人に対して省エ
ネルギや快適性の観点から非常に優れた空調手段を提供
することができも
Furthermore, by using human body detection sensors in addition to infrared sensors, it is possible to more accurately estimate the presence, location, and amount of human activity, regardless of whether a room is occupied, regardless of heating or cooling conditions, airflow air conditioning, or radiant air conditioning. It is possible to provide each person with an air conditioning method that is extremely superior in terms of energy savings and comfort.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は本発明の一実施例の空気調和装置の概念構成医
 第2図は同装置の制御フロー皿 第3図は着衣量の演
算方法の説明医 第4図は従来例の空気調和装置の概念
図である。 3・・赤外線センサ、 4・・人体検出センサ、 12
・・快適制御装置
Fig. 1 shows the conceptual structure of an air conditioner according to an embodiment of the present invention. Fig. 2 shows the control flow diagram of the same device. Fig. 3 shows an explanation of the method of calculating the amount of clothing. Fig. 4 shows a conventional air conditioner. It is a conceptual diagram. 3...Infrared sensor, 4...Human body detection sensor, 12
・Comfort control device

Claims (5)

【特許請求の範囲】[Claims] (1)所定の温度の空気を所定の風速・方向で送風でき
る吹出口、は所定の温度に設定される輻射パネルと、赤
外線センサと、前記赤外線センサから得られる複数個の
温度画像情報を記憶する複数個の温度画像メモリと、前
記温度画像情報をデジタル処理して人体の有無・位置・
活動量と人体表面の温度分布から着衣量を推算可能な温
度画像演算装置と、前記吹出口における空気の温度・風
速・方向のうち少なくとも一つをセンシングできる気流
センサと、前記輻射パネルの表面温度センサを具備し、
前記センサの情報と前記温度画像演算装置とをリンクし
て人体近傍における快適指標を予測算出することにより
所定の快適値となるように前記吹出口、あるいは輻射パ
ネルを制御することを特徴とする空気調和装置。
(1) The outlet that can blow air at a predetermined temperature at a predetermined speed and direction has a radiant panel set to a predetermined temperature, an infrared sensor, and a plurality of temperature image information obtained from the infrared sensor. The temperature image information is digitally processed to determine the presence, location, and presence of a human body.
a temperature image calculation device capable of estimating the amount of clothing from the amount of activity and temperature distribution on the surface of the human body; an airflow sensor capable of sensing at least one of the temperature, wind speed, and direction of the air at the air outlet; and the surface temperature of the radiant panel. Equipped with a sensor,
The air outlet or the radiant panel is controlled to achieve a predetermined comfort value by linking information from the sensor and the temperature image calculation device to predict and calculate a comfort index near the human body. harmonization device.
(2)所定の温度の空気を所定の風速・方向で送風でき
る吹出口と、所定の温度に設定される輻射パネルと、赤
外線センサと、前記赤外線センサから得られる複数個の
温度画像情報を記憶する複数個の温度画像メモリと、前
記温度画像情報をデジタル処理して人体表面の温度分布
から着衣量を推算可能な温度画像演算装置と、人体検出
センサと、前記人体検出センサから得られる複数個の人
体画像情報を記憶する複数個の人体画像メモリと、前記
人体画像情報をデジタル処理して人体の有無・位置・活
動量を推算可能な人体画像演算装置と、前記吹出口にお
ける空気の温度、風速、方向のうち少なくとも一つをセ
ンシングできる気流センサと、前記輻射パネルの表面温
度センサを具備し、前記温度画像演算装置および前記人
体画像演算装置とをリンクして人体近傍における快適指
標を予測算出することにより所定の快適値となるよう前
記吹出口あるいは輻射パネルを制御することを特徴とす
る空気調和装置。
(2) An outlet that can blow air at a predetermined temperature at a predetermined speed and direction, a radiant panel that is set to a predetermined temperature, an infrared sensor, and a plurality of temperature image information obtained from the infrared sensor. a plurality of temperature image memories, a temperature image calculation device capable of digitally processing the temperature image information to estimate the amount of clothing from the temperature distribution on the human body surface, a human body detection sensor, and a plurality of temperature image memories obtained from the human body detection sensor. a plurality of human body image memories that store human body image information; a human body image processing device capable of digitally processing the human body image information to estimate the presence/absence, position, and amount of activity of a human body; and the temperature of the air at the air outlet; An airflow sensor capable of sensing at least one of wind speed and direction and a surface temperature sensor of the radiation panel are provided, and the temperature image calculation device and the human body image calculation device are linked to predict and calculate a comfort index near the human body. An air conditioner characterized in that the air outlet or the radiant panel is controlled so as to achieve a predetermined comfort value.
(3)請求項1あるいは2における制御において、さら
に設けた輻射温度センサの情報とリンクさせることによ
り、室内での壁からの輻射温度を推定して人体近傍にお
ける快適指標を予測することを特徴とする請求項1また
は2記載の空気調和装置。
(3) The control according to claim 1 or 2 is characterized in that the radiant temperature from the walls in the room is estimated and the comfort index near the human body is predicted by linking with information from a radiant temperature sensor further provided. The air conditioner according to claim 1 or 2.
(4)人体表面の温度分布の測定値から、皮膚温度部分
とそれ以外の温度部分とを区別し、各々皮膚面積と着衣
面積を算出することから着衣量を推算するように構成し
たことを特徴とする請求項1または2記載の空気調和装
置。
(4) A feature is that the amount of clothing is estimated by distinguishing between the skin temperature area and other temperature areas from the measured value of the temperature distribution on the surface of the human body, and calculating the skin area and clothing area for each. The air conditioner according to claim 1 or 2.
(5)人体表面の温度分布の測定値から人間頭部に相当
するデータを除外して、着衣量を推算するように構成し
た請求項1〜4のいずれかに記載の空気調和装置。
(5) The air conditioner according to any one of claims 1 to 4, wherein the air conditioner is configured to estimate the amount of clothing by excluding data corresponding to the human head from the measured values of the temperature distribution on the surface of the human body.
JP2113311A 1990-04-27 1990-04-27 Air conditioner Pending JPH0413026A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2113311A JPH0413026A (en) 1990-04-27 1990-04-27 Air conditioner

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2113311A JPH0413026A (en) 1990-04-27 1990-04-27 Air conditioner

Publications (1)

Publication Number Publication Date
JPH0413026A true JPH0413026A (en) 1992-01-17

Family

ID=14609018

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2113311A Pending JPH0413026A (en) 1990-04-27 1990-04-27 Air conditioner

Country Status (1)

Country Link
JP (1) JPH0413026A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0589448A1 (en) * 1992-09-24 1994-03-30 Matsushita Electric Industrial Co., Ltd. An occupant condition determining apparatus
US6699999B2 (en) 2001-08-08 2004-03-02 Nippon Shokubai Co., Ltd. Process for producing pyromellitic anhydride
JP2011106724A (en) * 2009-11-17 2011-06-02 Mitsubishi Electric Corp Air-conditioning control system, air conditioning device, air-conditioning control method, temperature measuring system and temperature measuring method
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0589448A1 (en) * 1992-09-24 1994-03-30 Matsushita Electric Industrial Co., Ltd. An occupant condition determining apparatus
US5384716A (en) * 1992-09-24 1995-01-24 Matsushita Electric Industrial Co., Ltd. Occupant condition determining apparatus
US6699999B2 (en) 2001-08-08 2004-03-02 Nippon Shokubai Co., Ltd. Process for producing pyromellitic anhydride
JP2011106724A (en) * 2009-11-17 2011-06-02 Mitsubishi Electric Corp Air-conditioning control system, air conditioning device, air-conditioning control method, temperature measuring system and temperature measuring method
JP2012083105A (en) * 2012-01-31 2012-04-26 Mitsubishi Electric Corp Energy saving device and air conditioner
JP2017075731A (en) * 2015-10-14 2017-04-20 パナソニックIpマネジメント株式会社 Air conditioner
CN107860096A (en) * 2017-09-20 2018-03-30 珠海格力电器股份有限公司 A kind of air supply velocity determines method, apparatus, storage medium and air-conditioning
CN109405228A (en) * 2018-10-26 2019-03-01 美的集团武汉制冷设备有限公司 Air conditioner and its control method, control device, readable storage medium storing program for executing
CN109405228B (en) * 2018-10-26 2021-08-13 美的集团武汉制冷设备有限公司 Air conditioner, control method and device thereof and readable storage medium
WO2021240604A1 (en) * 2020-05-25 2021-12-02 三菱電機株式会社 Air conditioning control device, air conditioning system, air conditioning method, and program
CN112344530A (en) * 2020-10-20 2021-02-09 青岛海信电子产业控股股份有限公司 Terminal and indoor environment adjusting method
CN112344530B (en) * 2020-10-20 2022-05-27 青岛海信电子产业控股股份有限公司 Terminal and indoor environment adjusting method

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