JP2005315564A - Air-conditioner malfunction detecting device and its method - Google Patents

Air-conditioner malfunction detecting device and its method Download PDF

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JP2005315564A
JP2005315564A JP2005090488A JP2005090488A JP2005315564A JP 2005315564 A JP2005315564 A JP 2005315564A JP 2005090488 A JP2005090488 A JP 2005090488A JP 2005090488 A JP2005090488 A JP 2005090488A JP 2005315564 A JP2005315564 A JP 2005315564A
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Ken Yasuda
田 研 安
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Tokyo Gas Co Ltd
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Abstract

<P>PROBLEM TO BE SOLVED: To provide an air-conditioner malfunction detecting device and its method for determining the existence of a sign of capacity degradation or a sign of malfunction without erroneously determining the sign of capacity degradation or the sign of malfunction even when an air-conditioner itself is normal and the temperature of outside air is abnormally high or a set temperature is abnormally low, while eliminating the need for measuring an operating elapsed time from switching on a thermometer. <P>SOLUTION: The device comprises a storage means 61 for storing a representative value for the temperature of outside air, a representative value for the temperature of air sucked into an indoor unit, and a representative value for a set temperature for the indoor unit, a means 62 for computing an average value for the temperature of the outside air, a means 63 for computing an average value for the temperature of air sucked into the indoor unit, a means 64 for computing an average value for a difference between the temperature of air sucked into the indoor unit and the set temperature for the indoor unit, and a control means 65. The control means determines the sign of the failure if days when the average value for the temperature of outside air is lower than a preset temperature, the average value for the difference between the temperature of air sucked into the indoor unit and the set temperature for the indoor unit is a preset temperature or higher, and the average value for the temperature of air sucked into the indoor unit is a preset temperature or higher are a preset number of days or more in a preset period. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

本発明は、空調機の空調能力の低下等を検知・診断する異常検知装置及び異常検知方法に関する。   The present invention relates to an abnormality detection device and an abnormality detection method for detecting and diagnosing a decrease in air conditioning capability of an air conditioner.

空調機(例えば、ガスエンジンヒートポンプ:GHP)において、情報ネットワークや専用回線を介して遠隔監視用コンピュータに接続されて、当該遠隔監視用コンピュータを用いて始動不良その他の異常を検知する技術が、既に、提案されている(特許文献1参照)。   In an air conditioner (for example, a gas engine heat pump: GHP), a technology that is connected to a remote monitoring computer via an information network or a dedicated line and uses the remote monitoring computer to detect a start failure or other abnormality has already been established. Have been proposed (see Patent Document 1).

また、遠隔監視されている空調機において、室内機の設定温度と室内機への吸込温度、即ち室温との温度差を計測し、その温度差が閾値を超えた場合には、異常ありと判断する技術も提案されている(例えば、特許文献2)。但し、判定のタイミングは、室内機のサーモON(例えば、冷房の場合、室温が設定温度よりも所定温度以上高温になると、冷房機が作動する現象)からの運転経過時間が所定の時間に達した時点としている。   In a remotely monitored air conditioner, the temperature difference between the set temperature of the indoor unit and the suction temperature into the indoor unit, that is, the room temperature is measured, and if the temperature difference exceeds the threshold, it is determined that there is an abnormality. Techniques to do this have also been proposed (for example, Patent Document 2). However, the timing of the determination is that the elapsed time of operation from the thermo-ON of the indoor unit (for example, in the case of cooling, when the room temperature becomes higher than the set temperature by a predetermined temperature or more) At that time.

しかし、外気温が異常に高い場合や、室内機の設定温度が異常に低い場合には、空調機自体が正常であっても、室内機の設定温度と吸込温度の温度差が大きくなりやすい。そのため、上述した従来技術においては、空調機自体が正常であるにもかかわらず、温度差が閾値を超え、誤判断する可能性がある。
特開2002−277032号公報 特開2002−115891号公報
However, when the outside air temperature is abnormally high or the set temperature of the indoor unit is abnormally low, even if the air conditioner itself is normal, the temperature difference between the set temperature of the indoor unit and the suction temperature tends to increase. Therefore, in the above-described conventional technology, the temperature difference exceeds the threshold value even though the air conditioner itself is normal, and there is a possibility of erroneous determination.
JP 2002-277032 A JP 2002-115891 A

本発明は上述した従来技術の問題点に鑑みて提案されたものであり、空調機自体が正常である場合に、外気温度が異常に高い場合(いわゆる「猛暑」の場合)や、室内機の設定温度が異常に低い場合であっても、空調機の能力低下の兆候或いは異常の兆候がある旨の誤判断をすることが無く、しかも、空調機の能力低下の兆候或いは異常の兆候の有無を判断するに際して、室内機の「サーモON」からの運転経過時間を計測する必要がない様な空調機の異常診断装置及び方法の提供を目的としている。   The present invention has been proposed in view of the above-described problems of the prior art. When the air conditioner itself is normal, the outside air temperature is abnormally high (so-called “hot heat”), Even if the set temperature is abnormally low, there is no misjudgment that there is a sign of air conditioner capacity decline or abnormality, and there is no sign of air conditioner capacity decline or abnormality. It is an object of the present invention to provide an air conditioner abnormality diagnosis apparatus and method that does not require measurement of the elapsed operation time from the “thermo ON” of an indoor unit.

本発明の空調機の異常診断装置(1)は、外気温の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の外気温)、室内機空気吸込温度の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の室内機空気吸込温度)、室内機設定温度の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の室内機設定温度)を記憶する記憶手段(データベース61)と、一定期間の外気温の平均値を演算する手段(外気温移動平均値演算手段62)と、一定期間の室内機空気吸込温度の平均値を演算する手段(室内機空気吸込温度移動平均値演算手段63)と、一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する手段(設定温度との差異の移動平均値を演算する手段64)と、制御手段(空調能力低下判断手段65)とを備え、該制御手段(65)は、外気温の平均値が所定温度よりも低温であり、且つ、室内機空気吸込温度と室内機設定温度との差異の平均値が所定温度以上であり、且つ、室内機空気吸込温度の平均値が所定温度以上である日が、所定期間内に所定日数以上ある場合には(当該空調機2に)異常の兆候があると判断する制御を行う様に構成されていることを特徴としている(図1)。   The air conditioner abnormality diagnosis device (1) according to the present invention has a representative value of the outside air temperature (for example, the outside temperature when the load of the air conditioner becomes highest within one day) and the representative value of the indoor unit air intake temperature. (For example, the indoor unit air intake temperature when the load on the air conditioner becomes highest in one day), the representative value of the indoor unit set temperature (for example, the load on the air conditioner becomes highest in one day) Storage means (database 61) for storing the indoor unit set temperature at the time), means for calculating the average value of the outside air temperature for a certain period (outside air temperature moving average value computing means 62), and the indoor unit air suction temperature for a certain period Means for calculating the average value of the indoor unit (indoor unit air suction temperature movement average value calculating unit 63) and means for calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period (of the set temperature) Means 64 for calculating the moving average of the difference, and control means (low air conditioning capacity) Determining means 65), wherein the control means (65) has an average value of the outside air temperature lower than a predetermined temperature, and an average value of a difference between the indoor unit air suction temperature and the indoor unit set temperature is predetermined. When the temperature is equal to or higher than the temperature, and the average value of the indoor unit air intake temperature is equal to or higher than the predetermined temperature, it is determined that there is a sign of abnormality (in the air conditioner 2) within a predetermined period of time. It is characterized by being configured to perform control (FIG. 1).

また、本発明の空調機の異常診断方法は、外気温の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の外気温)から(外気温移動平均値演算手段62を用いて)一定期間の外気温の平均値を演算する工程(ステップS3のa)と、室内機空気吸込温度の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の室内機空気吸込温度)から(室内機空気吸込温度移動平均値演算手段63を用いて)一定期間の室内機空気吸込温度の平均値を演算する工程(ステップS3のc)と、室内機空気吸込温度の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の室内機空気吸込温度)及び室内機設定温度の代表値(例えば、1日の内で空調機の負荷が最も高くなった時の室内機設定温度)を用いて(設定温度との差異の移動平均値を演算する手段64により)一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する工程(ステップS3のb)と、(制御手段(空調能力低下判断手段65)により)外気温の平均値が所定温度よりも低温であり、且つ、室内機空気吸込温度と室内機設定温度との差異の平均値が所定温度以上であり、且つ、室内機空気吸込温度の平均値が所定温度以上である日が所定期間内に何日あるかを演算する工程(S4)と、演算された日数が所定日数を下回っている場合には(当該空調機に)異常の兆候が無いと判断(S5)し、演算された日数が所定日数以上ある場合には(当該空調機に)異常の兆候がある(S6)と判断する工程(S5、S6)、とを有することを特徴としている(図2)。   The abnormality diagnosis method for an air conditioner according to the present invention is based on the representative value of the outside air temperature (for example, the outside air temperature when the load on the air conditioner becomes highest within one day) (outside air temperature moving average value calculating means 62. And calculating the average value of the outside air temperature over a certain period (a in step S3) and the representative value of the indoor unit air intake temperature (for example, when the load on the air conditioner becomes highest in one day) Of the indoor unit air suction temperature) (using the indoor unit air suction temperature moving average value calculation means 63) (step c of step S3), and the step of calculating the average value of the indoor unit air suction temperature for a certain period, and the indoor unit air Typical value of suction temperature (for example, indoor unit air suction temperature when load of air conditioner becomes highest in one day) and typical value of indoor unit set temperature (for example, load of air conditioner within one day) (The indoor unit set temperature when the temperature becomes the highest) A step of calculating an average value of differences between the indoor unit air suction temperature and the indoor unit set temperature for a certain period (by means 64 for calculating the dynamic average value); 65)) The average value of the outside air temperature is lower than the predetermined temperature, the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature is equal to or higher than the predetermined temperature, and the indoor unit air suction temperature A step (S4) of calculating the number of days within the predetermined period when the average value of the temperature is equal to or higher than the predetermined temperature, and if the calculated number of days is less than the predetermined number of days (in the air conditioner) Determining that there is no sign (S5), and determining that there is a sign of abnormality (S6) when the calculated number of days is equal to or greater than a predetermined number of days (in the air conditioner) (S5, S6). (Fig. 2).

本発明の空調機の異常診断装置において、前記空調機(2)は情報ネットワーク(N)を介して遠隔監視システム(監視用コンピュータ6)に接続されており、該遠隔監視システムは、前記記憶手段(データベース61)と、一定期間の外気温の平均値を演算する手段(外気温移動平均値演算手段62)と、一定期間の室内機空気吸込温度の平均値を演算する手段(室内機空気吸込温度移動平均値演算手段63)と、一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する手段(設定温度との差異の移動平均値を演算する手段64)と、前記制御手段(空調能力低下判断手段65)、とを有しており、(且つ、前記遠隔監視システム6は)情報ネットワーク(N)を介して、外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値を取得する様に構成されているのが好ましい。   In the abnormality diagnosis device for an air conditioner according to the present invention, the air conditioner (2) is connected to a remote monitoring system (monitoring computer 6) via an information network (N), and the remote monitoring system includes the storage means. (Database 61), means for calculating an average value of outside air temperature for a certain period (outside air temperature moving average value calculating means 62), and means for calculating an average value of indoor unit air suction temperature for a certain period (indoor air intake) Temperature moving average value calculating means 63), means for calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period (means 64 for calculating the moving average value of the difference from the set temperature), , The control means (air-conditioning capacity decrease judging means 65), and (and the remote monitoring system 6) via the information network (N), the representative value of the outside air temperature, the indoor unit air suction temperature Representative of , Preferably configured so as to obtain a representative value of the indoor unit set temperature.

ここで、本明細書において、「情報ネットワーク」なる文言は、インターネット、ローカルエリアネットワーク(LAN)、専用回線を用いたシステム、その他、情報の授受が可能なネットワーク全般を包含する意味の文言として、用いられている。   Here, in this specification, the term “information network” is a term including the Internet, a local area network (LAN), a system using a dedicated line, and other networks that can exchange information. It is used.

また、本発明の空調機の異常診断方法において、外気温の平均値を演算する前記工程(ステップS3のa)と、室内機空気吸込温度の平均値を演算する前記工程(ステップS3のc)と、室内機空気吸込温度と室内機設定温度との差異の平均値を演算する前記工程(ステップS3のb)は、情報ネットワーク(N)を介して空調機(2)に接続された遠隔監視システム(監視用コンピュータ6)で行われ、外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値は、情報ネットワーク(N)を介して取得されるのが好ましい。   In the air conditioner abnormality diagnosis method of the present invention, the step of calculating the average value of the outside air temperature (a in step S3) and the step of calculating the average value of the indoor unit air intake temperature (c in step S3). And the step of calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature (step S3 b) is a remote monitoring connected to the air conditioner (2) via the information network (N). It is preferably carried out by the system (monitoring computer 6), and the representative value of the outside air temperature, the representative value of the indoor unit air suction temperature, and the representative value of the indoor unit set temperature are preferably acquired via the information network (N).

また、本発明の空調機の異常診断装置(1A)は、外気温(例えば、1日の内で空調機の負荷が最も高くなった時の外気温)、室温(例えば、1日の内で空調機の負荷が最も高くなった時の室温)、設定温度(例えば、1日の内で空調機の負荷が最も高くなった時の室内の設定温度)を記憶する記憶手段(データベース61A)と、標準偏差演算手段(66)と、一定期間の室温の平均値を演算する手段(室温平均値演算手段63)と、一定期間の室温と設定温度との差異の平均値を演算する手段(差異演算手段64)と、制御手段(空調能力低下判断手段65A)とを備え、該制御手段(65A)は、(判断するべき日における)外気温が第1の所定温度(例えば30℃)よりも低温であり、且つ、(判断するべき日における)室温が第2の所定温度(式A2で示す所定温度)以上であり、且つ、(判断するべき日における)室温と設定温度との差異が第3の所定温度(式A3で示す室温と設定温度の差異の所定温度)以上である場合には(当該空調機2に)異常の兆候があると判断し、前記第2の所定値(式A2で示す所定温度)は所定期間の室温の平均値に特定乗数を乗じた標準偏差値を加算した数値であり、前記第3の所定温度(式A3で示す室温と設定温度の差異の所定温度)は所定期間の室温と設定温度の差異の平均値に特定乗数を乗じた標準偏差値を加算した数値である制御を行う様に構成されていることを特徴としている(図6)。   In addition, the air conditioner abnormality diagnosis apparatus (1A) according to the present invention has an outside air temperature (for example, the outside air temperature when the load of the air conditioner becomes highest within one day), a room temperature (for example, within one day). Storage means (database 61A) for storing the room temperature when the load on the air conditioner is highest) and the set temperature (for example, the set temperature in the room when the load on the air conditioner is highest within a day). , Standard deviation calculating means (66), means for calculating an average value of room temperature for a certain period (room temperature average value calculating means 63), means for calculating an average value of differences between room temperature and a set temperature for a certain period (difference) Calculation means 64) and control means (air-conditioning capacity reduction judgment means 65A), the control means (65A) is such that the outside air temperature (on the day to be judged) is higher than the first predetermined temperature (for example, 30 ° C.). Low temperature and the room temperature (on the day to be judged) is the second The difference between the room temperature and the set temperature (on the day to be judged) is equal to or higher than the predetermined temperature (the predetermined temperature shown in Formula A2), and the predetermined temperature is the difference between the room temperature and the set temperature shown in Formula A3. ) If this is the case, it is determined that there is a sign of abnormality (in the air conditioner 2), and the second predetermined value (predetermined temperature shown in Formula A2) is multiplied by a specific multiplier to the average value of room temperature over a predetermined period. The third predetermined temperature (predetermined temperature of the difference between the room temperature and the set temperature shown in Formula A3) is obtained by multiplying the average value of the difference between the room temperature and the set temperature for a predetermined period by a specific multiplier. It is characterized by performing control that is a numerical value obtained by adding the standard deviation values (FIG. 6).

また、係る空調機の異常診断装置(1A)を用いた本発明の空調機の異常診断方法は、外気温(例えば、1日の内で空調機の負荷が最も高くなった時の外気温)を計測する工程と、室温(例えば、1日の内で空調機の負荷が最も高くなった時の室温)を計測する工程と、一定期間の室温の平均値を演算する工程と、室温の標準偏差を演算する工程と、一定期間の室温と設定温度との差異の平均値を演算する工程と、室温と設定温度との差異の標準偏差を演算する工程と、(判断するべき日における)外気温が第1の所定温度(例えば30℃)よりも低温であり、且つ、(判断するべき日における)室温が第2の所定温度(式A2で示す所定温度)以上であり、且つ、(判断するべき日における)室温と設定温度との差異が第3の所定温度(式A3で示す室温と設定温度の差異の所定温度)以上である場合には(当該空調機2に)異常の兆候があると判断する工程、とを有し、前記第2の所定値(式A2で示す所定温度)は、所定期間の室温の平均値に特定乗数を乗じた標準偏差値を加算した数値であり、前記第3の所定温度(式A3で示す室温と設定温度の差異の所定温度)は所定期間の室温と設定温度の差異の平均値に特定乗数を乗じた標準偏差値を加算した数値であることを特徴としている(図7)。   In addition, the air conditioner abnormality diagnosis method of the present invention using the air conditioner abnormality diagnosis apparatus (1A) is based on the outside air temperature (for example, the outside air temperature when the load on the air conditioner becomes highest within one day). Measuring the room temperature, measuring the room temperature (for example, the room temperature when the load of the air conditioner is highest in one day), calculating the average value of the room temperature over a certain period, and the room temperature standard A step of calculating the deviation, a step of calculating an average value of the difference between the room temperature and the set temperature for a certain period, a step of calculating a standard deviation of the difference between the room temperature and the set temperature, and (on the day to be judged) The temperature is lower than a first predetermined temperature (for example, 30 ° C.), and the room temperature (on the day to be determined) is equal to or higher than a second predetermined temperature (predetermined temperature indicated by Formula A2), and (determination The difference between the room temperature on the day to be performed and the set temperature is the third predetermined temperature (formula A And a step of determining that there is a sign of abnormality (in the air conditioner 2) when the temperature is equal to or higher than the predetermined temperature of the room temperature and the set temperature shown in FIG. 3, and the second predetermined value (formula A2) Is a numerical value obtained by adding a standard deviation value obtained by multiplying the average value of room temperature over a predetermined period by a specific multiplier, and the third predetermined temperature (predetermined temperature of the difference between the room temperature and the set temperature shown in Formula A3) ) Is a numerical value obtained by adding a standard deviation value obtained by multiplying the average value of the difference between the room temperature and the set temperature for a predetermined period by a specific multiplier (FIG. 7).

ここで、所定期間としては、空調機の使用開始から一定の期間(図7、図8の符号L:例えば、365日)が経過している場合には、当該一定期間(図7、図8の符号L:例えば、365日)であるのが好ましい。一方、空調機の使用開始から一定期間(図7、図8の符号L:例えば、365日)が経過していない場合には、前記一定期間は、空調機の使用開始から診断を行う日(診断日)よりも所定日数(図7、図8の符号D:例えば、10日間)以前までの期間とするのが好ましい。
さらに、標準偏差値に乗じる前記特定乗数として複数種類の数値(例えば、「3」及び「1.6」)を選択し、空調能力の低下の度合い(緊急レベル)を高レベル(ステップS36)と低レベル(ステップS42)の2段階に分けて夫々のレベルで判定する様に構成することが可能である(図8、図9)。
ここで、診断日と前記所定期間の双方において、「室温」及び「室温と設定温度の温度差」は外気温が30℃未満の時に収集したデータだけを抽出する。
Here, as a predetermined period, when a certain period (symbol L in FIGS. 7 and 8: for example, 365 days) has elapsed since the start of use of the air conditioner, the certain period (FIGS. 7 and 8). The code L is preferably 365 days, for example. On the other hand, if a certain period of time (symbol L in FIGS. 7 and 8, for example, 365 days) has not elapsed since the start of use of the air conditioner, the certain period is the day of diagnosis from the start of use of the air conditioner ( It is preferable to set the period up to a predetermined number of days (symbol D in FIGS. 7 and 8, for example, 10 days) before the diagnosis date.
Further, a plurality of types of numerical values (for example, “3” and “1.6”) are selected as the specific multipliers to be multiplied by the standard deviation value, and the degree of air conditioning capability reduction (emergency level) is set to a high level (step S36). It is possible to configure so that the determination is made at each level divided into two stages of low level (step S42) (FIGS. 8 and 9).
Here, in both the diagnosis date and the predetermined period, “room temperature” and “temperature difference between room temperature and set temperature” extract only data collected when the outside air temperature is less than 30 ° C.

係る構成の空調機の異常診断装置(1)及び診断方法(図2のフローチャート)を有する本発明によれば、外気温度の一定期間における平均温度(例えば、外気温度の直近A日間移動平均値)が閾値を下回っていなければ、異常とは判断されないので、外気温度が異常に高く(いわゆる「猛暑」の場合)室内温度(室内機の空気吸込温度)が下がらない場合であっても、空調機の能力低下の兆候或いは異常の兆候がある旨の誤判断はしない。   According to the present invention having the air conditioner abnormality diagnosis device (1) and the diagnosis method (flowchart in FIG. 2) having such a configuration, the average temperature of the outside air temperature over a certain period (for example, the moving average value of the outside air temperature for the most recent A day) If the air temperature is not below the threshold value, it is not judged as abnormal, so the outside air temperature is abnormally high (so-called “hot heat”), even if the indoor temperature (the air suction temperature of the indoor unit) does not decrease, the air conditioner There is no misjudgment that there is a sign of a decline in capacity or a sign of abnormality.

設定温度が異様に低温に設定されてしまった場合、室内機の空気吸込温度が高温ではないにもかかわらず、「室内機の吸込温度−室内機設定温度」が大きくなってしまう(設定温度と室温との差が大きくなってしまう)恐れが有る。その場合でも、「室内機の吸込温度」(すなわち室温)が高くなければ、異常とは判断されない。そのため、設定温度が異様に低温に設定されてしまったことにより、「故障の予兆有り」と誤判断してしまうことが防止される。   If the set temperature is set to an unusually low temperature, the "indoor unit suction temperature-the indoor unit set temperature" will increase even though the air suction temperature of the indoor unit is not high (the set temperature and The difference from room temperature becomes large). Even in such a case, if the “indoor unit suction temperature” (that is, room temperature) is not high, it is not determined to be abnormal. Therefore, it is possible to prevent erroneous determination that “there is a sign of failure” because the set temperature is abnormally set to a low temperature.

判定に必要なデータは、サーモONのタイミングとは無関係に取得される代表値(例えば、空調機の負荷が最も高くなった時の数値)を用いている。従って、サーモONからの時間経過を計測する必要も無い。   As the data necessary for the determination, a representative value (for example, a numerical value when the load of the air conditioner becomes the highest) obtained regardless of the thermo-ON timing is used. Therefore, there is no need to measure the time elapsed from the thermo-ON.

さらに空調機と情報ネットワークを介して(情報的に)接続された遠隔監視システム(監視用コンピュータ6)で異常診断を行う様に構成することにより、サーバーによる遠隔監視を行っている空調機に本発明を適用することが可能となる。   In addition, the remote monitoring system (monitoring computer 6) connected (informatively) to the air conditioner via the information network is configured to perform abnormality diagnosis, so that the air conditioner performing remote monitoring by the server can be used. The invention can be applied.

或いは、時点での「外気温度」、時点での「室内吸込温度」及び、時点での「室内吸込温度」−「設定温度」を測定対象としているので、一定期間のデータの平均値を用いる方法で生じるデータの悪化の影響による感度の低下が防止出来る。即ち、1回でも所定温度を下回るデータが認められれば、故障の兆候として捉えることが出来る。
換言すれば、異常判断の精度が上がる。
Alternatively, since the “outside air temperature” at the time point, the “indoor suction temperature” at the time point, and the “indoor suction temperature” at the time point—the “set temperature” are the measurement targets, a method using the average value of the data for a certain period Can prevent a decrease in sensitivity due to the effect of data deterioration. That is, if data that falls below the predetermined temperature is recognized even once, it can be taken as a sign of failure.
In other words, the accuracy of abnormality determination increases.

更に、第2及び第3の所定値を2段階に分けることで、異常の兆候を高レベルと低レベルで判断でき、警報が発せられた場合の対処方法が明確となる。   Furthermore, by dividing the second and third predetermined values into two stages, the signs of abnormality can be determined at a high level and a low level, and a countermeasure when an alarm is issued becomes clear.

以下、添付図面を参照して、本発明の実施形態について説明する。   Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

先ず、図1のブロック図を参照して、第1実施形態の構成を説明する。
図1において、全体を符号1で示す空調機の異常検知装置は、大きなユニット単位としては空調機2と、その空調機2からの情報を、ネットワークNを介して受信する監視用コンピュータ6と、その監視用コンピュータ6と接続された表示手段7及び警告手段8とから構成されている。
First, the configuration of the first embodiment will be described with reference to the block diagram of FIG.
In FIG. 1, an air conditioner abnormality detection apparatus generally indicated by reference numeral 1 includes an air conditioner 2 as a large unit, and a monitoring computer 6 that receives information from the air conditioner 2 via a network N. It comprises display means 7 and warning means 8 connected to the monitoring computer 6.

前記空調機2には、図示しない室内機に吸込まれる空気の温度を計測する室内温度センサ3と外気温を計測する外気温センサ4と空調機操作用のリモートコントローラ5が接続され、室内温度センサ3と外気温センサ4とリモートコントローラ5からの情報がネットワークNを介して監視用コンピュータ6に伝送される。   Connected to the air conditioner 2 are an indoor temperature sensor 3 for measuring the temperature of air sucked into an indoor unit (not shown), an outside air temperature sensor 4 for measuring outside air temperature, and a remote controller 5 for operating the air conditioner. Information from the sensor 3, the outside air temperature sensor 4, and the remote controller 5 is transmitted to the monitoring computer 6 via the network N.

前記監視用コンピュータ6は、設定温度、及び制御の際の閾値(後述のB℃、D℃、E℃)等を記憶する記憶手段であるデータベース61と、外気温の移動平均値を演算する外気温移動平均値演算手段(略して、外気温平均値演算手段)62と、室内機空気吸込温度の移動平均値を演算する室内空気吸込温度移動平均値演算手段(略して、室内空気温度平均値演算手段)63と、室内機空気吸込温度と室内機設定温度の差の平均値を演算する差異平均値演算手段64と、前記外気温平均値演算手段62で演算した外気温の平均値と、前記室内空気温度平均値演算手段63で演算した室内温度の平均値と、前記差異平均値演算手段64で演算した室内機空気吸込温度と室内機設定温度の差の平均値とから、当該空調機2の能力が低下しているか否かを判断し、表示手段7に判断結果を表示させると共に、空調機2の能力が低下している場合には、能力低下を警告手段8に警告させるように構成されている。   The monitoring computer 6 includes a database 61 that is a storage means for storing a set temperature, threshold values for control (B ° C., D ° C., E ° C., which will be described later), etc. Air temperature moving average value calculating means (abbreviated as outside air temperature average value calculating means) 62 and indoor air suction temperature moving average value calculating means (abbreviated as indoor air temperature average value) for calculating the moving average value of indoor unit air suction temperature. Calculation means) 63, difference average value calculation means 64 for calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature, the average value of the outside air temperature calculated by the outside air temperature average value calculating means 62, From the average value of the indoor temperature calculated by the indoor air temperature average value calculating means 63 and the average value of the difference between the indoor unit air suction temperature calculated by the difference average value calculating means 64 and the indoor unit set temperature, the air conditioner Is the ability of 2 decreasing? Determine, with displays the determination result on the display unit 7, when the capacity of the air conditioner 2 is lowered is configured so as to warn the reduced ability to warning means 8.

次に、図2のフローチャートを参照して、第1実施形態における異常診断の方法を説明する。   Next, an abnormality diagnosis method according to the first embodiment will be described with reference to the flowchart of FIG.

先ず、ステップS1では、室内温度センサ3(図1参照)で室内温度を計測し、外気温センサ4(図1参照)で外気温を計測し、空調機操作用リモートコントロール5(図1参照)によって設定された室内機設定温度を参照する。   First, in step S1, the indoor temperature sensor 3 (see FIG. 1) measures the room temperature, the outside air temperature sensor 4 (see FIG. 1) measures the outside air temperature, and the air conditioner operation remote control 5 (see FIG. 1). The indoor unit set temperature set by is referred to.

次のステップS2では、ステップS1で計測した室内温度、外気温度及び空調機操作用リモートコントロール5で設定された設定温度がネットワークNを介して遠隔監視用コンピュータ6に伝送されてきて、遠隔監視用コンピュータ6のデータベース61に一旦読込まれ、次のステップS3に進む。   In the next step S2, the room temperature, the outside temperature measured in step S1, and the set temperature set by the remote control 5 for operating the air conditioner are transmitted to the remote monitoring computer 6 via the network N for remote monitoring. Once read into the database 61 of the computer 6, the process proceeds to the next step S3.

ステップS3では、先ず、前記外気温平均値演算手段62によって、「外気温度」の直近A日間の移動平均値を演算する。
次に、前記差異平均値演算手段64で「室内吸込温度」−「設定温度」の直近A日間の移動平均値を演算する。ここで、「設定温度」は、室内温度の制御目標値である。
さらに、前記室内吸込温度平均値演算手段63によって、「室内吸込温度」の直近A日間の移動平均値を室内機1台毎に演算する。ここで、「室内吸込温度」は、空調機2の負荷が最も高くなったときの値である。
但し、「室内吸込温度」の直近A日間の移動平均値の演算における平均値の母数及び「室内吸込温度」から「設定温度」を差し引いた値の演算における平均値の母数には、当該空調機2の停止中のデータは含まない。
In step S3, first, the moving average value of the “outside air temperature” for the latest A days is calculated by the outside air temperature average value calculating means 62.
Next, the moving average value of “indoor suction temperature” − “set temperature” for the latest A days is calculated by the difference average value calculating means 64. Here, the “set temperature” is a control target value of the room temperature.
Furthermore, the indoor suction temperature average value calculation means 63 calculates the moving average value of the “indoor suction temperature” for the most recent A day for each indoor unit. Here, the “indoor suction temperature” is a value when the load of the air conditioner 2 becomes the highest.
However, the parameter of the average value in the calculation of the moving average value of the “room suction temperature” for the most recent A day and the parameter of the average value in the calculation of the value obtained by subtracting the “set temperature” from the “room suction temperature” Data during stoppage of the air conditioner 2 is not included.

ステップS3において、外気温度の直近A日間移動平均値は、直近A日間において、空調機2の負荷が最も高くなった時における外気温度を加算して、Aで除算した数値である。
ここで、移動平均値を求めるに当たっては、「空調機の負荷が最も高くなった時の数値」をその日の「代表値」と定め、A日間の当該代表値を加算して「A」で割算しているが、「代表値」は、「空調機の負荷が最も高くなった時の数値」に限定されるものではない。
In step S3, the most recent A day moving average value of the outside air temperature is a numerical value obtained by adding the outside air temperature when the load on the air conditioner 2 becomes the highest during the most recent A day and dividing by A.
Here, in calculating the moving average value, “the numerical value when the load on the air conditioner is highest” is defined as the “representative value” of the day, and the representative value for A day is added and divided by “A”. However, the “representative value” is not limited to “a numerical value when the load on the air conditioner is highest”.

次に、ステップS4において遠隔監視用コンピュータ(図1参照)6は、所定の期間、(例えば10日間)において、以下の条件を同時に満たす日が所定回数以上あるか否かを判定する。
即ち、条件1として、
外気温の直近A日間移動平均値がB℃(閾値Bは例えば30)未満である。
条件2として、
室内機の空気吸込温度−室内機設定温度の直近A日間移動平均値がD℃(閾値Dは例えば5)以上である。
条件3として、
室内機の空気吸込温度がE℃(閾値Eは例えば24)以上である。
Next, in step S4, the remote monitoring computer (see FIG. 1) 6 determines whether there are more than a predetermined number of days that simultaneously satisfy the following conditions in a predetermined period (for example, 10 days).
That is, as condition 1,
The moving average value of the outside air temperature for the latest A day is less than B ° C. (threshold value B is, for example, 30).
As condition 2,
The moving average value of the indoor unit air suction temperature minus the indoor unit set temperature for the most recent A day is D ° C. (threshold D is 5) or more.
As condition 3,
The air suction temperature of the indoor unit is E ° C (threshold E is 24, for example) or higher.

上記3つの条件を同時に満たす日が所定回数(例えば、1日)以上なければ、ステップS5に進み、空調機2の能力低下の兆候は無いと判断して、ステップS8まで進む。
一方、上記3つの条件を同時に満たす日が所定回数(例えば、1日)以上あれば、ステップS6に進み、空調機2の能力低下の兆候があると判断して、ステップS7において、予防・保全を促すために、前記表示手段7(図1参照)に空調機能力低下を表示させ、さらに前記警告手段8(図1参照)に警告を発するように指示し、ステップS8まで進む。
If the number of days that satisfy the above three conditions is not more than a predetermined number of times (for example, one day), the process proceeds to step S5, and it is determined that there is no sign of a reduction in the capacity of the air conditioner 2, and the process proceeds to step S8.
On the other hand, if the number of days that simultaneously satisfy the above three conditions is equal to or greater than a predetermined number of times (for example, one day), the process proceeds to step S6, where it is determined that there is a sign of a reduction in the capacity of the air conditioner 2, and prevention / maintenance is performed in step S7. Is displayed on the display means 7 (see FIG. 1), and the warning means 8 (see FIG. 1) is instructed to issue a warning, and the process proceeds to step S8.

ステップS8では、監視用コンピュータ6は、制御を終了するか否かを判断し、終了するのであれば(ステップS8のYES)、そのまま制御を終了し、終了しないのであれば(ステップS8のNO)、ステップS1に戻り、再びステップS1以降を繰り返す。   In step S8, the monitoring computer 6 determines whether or not to end the control. If the control is to be ended (YES in step S8), the control is ended as it is, and if the control is not ended (NO in step S8). Returning to step S1, step S1 and the subsequent steps are repeated again.

図2のフローチャートにおいて、ステップS4の条件1は、猛暑の時に誤判断を防止するために設けられた条件である。すなわち、猛暑の時は、条件1が成立しないので、条件1〜条件3を同時に満たすことにはならない。従って、条件1により、猛暑に起因する誤判断を防止できる。
条件1で、猛暑による「室内機の吸込温度」が上昇して(条件1を満たさない)、条件2を充足し、「室内機の吸込温度−室内機設定温度」が大きくなって条件3を充足してしまっても、故障の予兆と判断されることが無くなる。
以下の条件2、3について判断する必要が無くなるため、その分だけ、制御が楽になる(制御が迅速に進められる)。
換言すれば、この条件を設けることにより、外気温が閾値B(例えば30℃)℃未満の日が所定回数以上なければ、故障の予兆と判断されることは無くなるので、猛暑の際のデータを次の段階で判断する必要がなくなり、制御が簡単になる。
In the flowchart of FIG. 2, condition 1 in step S4 is a condition provided to prevent misjudgment during extreme heat. That is, since the condition 1 is not satisfied when the heat is extremely high, the conditions 1 to 3 are not satisfied at the same time. Therefore, by the condition 1, it is possible to prevent misjudgment caused by extreme heat.
Under condition 1, “indoor unit suction temperature” due to extreme heat increases (does not satisfy condition 1), satisfies condition 2, and increases “indoor unit suction temperature−indoor unit set temperature” to satisfy condition 3. Even if it is satisfied, it will not be judged as a sign of failure.
Since it is not necessary to determine the following conditions 2 and 3, the control is facilitated by that amount (the control is advanced rapidly).
In other words, by providing this condition, if the number of days when the outside air temperature is less than the threshold B (for example, 30 ° C.) ° C. is not more than a predetermined number of times, it will not be determined as a sign of failure. It is not necessary to make a decision at the next stage, and the control is simplified.

設定温度が異様に低温に設定されてしまった場合、室内機の空気吸込温度が高温ではないにもかかわらず、条件2を充足してしまう恐れが有る。その場合には、条件3を充足しないので、設定温度が異様に低温に設定されてしまったことにより、「故障の予兆有り」と誤判断してしまうことが防止される。   If the set temperature is unusually low, the condition 2 may be satisfied although the air suction temperature of the indoor unit is not high. In this case, since the condition 3 is not satisfied, it is possible to prevent the erroneous determination that “there is a sign of failure” because the set temperature has been set to an unusually low temperature.

条件1、2、3を同時に満たす場合とは、
1.猛暑ではなく(条件1を充足)、
2.「室内機の吸込温度−室内機設定温度」が大きく(設定温度と室温との差が大きく)(条件2を充足)、
3.「室内機の吸込温度」(すなわち室温)が高い(条件3を充足)(条件3、2の何れかに該当しなければ、室内機設定温度が異様に低温に設定されている訳ではない)、
場合である。
この場合は、空調機がその性能を発揮していないので、室内の温度が下がらない、と判断されるので、「故障の予兆」である蓋然性が高い。
従って、条件1、2、3を同時に満たす日が、所定期間(例えば10日間)に所定の回数(例えば、1回或いは1日)以上あれば、「空調能力低下の兆候有り」と判断する。
When the conditions 1, 2, and 3 are satisfied at the same time,
1. It is not intense heat (satisfies condition 1)
2. "Indoor unit suction temperature-Indoor unit set temperature" is large (the difference between the set temperature and room temperature is large) (condition 2 is satisfied)
3. “Indoor unit suction temperature” (ie, room temperature) is high (satisfies condition 3) (If either of conditions 3 and 2 is not met, the indoor unit set temperature is not unusually low) ,
Is the case.
In this case, since the air conditioner does not exhibit its performance, it is determined that the temperature in the room does not drop, so there is a high probability that it is a “predictor of failure”.
Therefore, if there are more than a predetermined number of times (for example, one time or one day) in a predetermined period (for example, 10 days) that satisfy the conditions 1, 2, and 3 at the same time, it is determined that “there is a sign of a decrease in air conditioning capacity”.

その場合は、例えば予防保全ルーチン(図示せず)を実行する。例えば、メンテナンスマンに連絡をとり、メンテナンスマンが現地で点検、必要によっては修理を行うこととなる。   In that case, for example, a preventive maintenance routine (not shown) is executed. For example, a maintenance man is contacted, and the maintenance man performs on-site inspections and repairs as necessary.

図3から図5は、空調機の一種であるガスヒートポンプにおいて、遠隔監視システムを用いて、略1日1回、外気温度、室内機の空気吸込温度、室内機の設定温度を取得し、空調能力の低下を判定した例である。   FIGS. 3 to 5 show a gas heat pump, which is a type of air conditioner, which acquires the outside air temperature, the air intake temperature of the indoor unit, and the set temperature of the indoor unit approximately once a day by using a remote monitoring system. This is an example of determining a decrease in ability.

図3は「外気温度」の変化を示すグラフ、図4は「室内機の吸込温度−室内機設定温度」の移動平均値の変動を示すグラフ、図5は「室内機の吸込温度」の直近A日間移動平均値の変動を示すグラフを夫々示している。
これら3種類のグラフを個別に見ても、空調機の能力低下の兆候或いは異常の兆候が存在することは、容易には理解出来ない。
しかし、図示の実施形態によれば、誰でもが分かる形態で、空調機2の能力低下の兆候、或いは異常の兆候の有無が判定できる。
FIG. 3 is a graph showing changes in “outside air temperature”, FIG. 4 is a graph showing fluctuations in the moving average value of “indoor unit suction temperature−indoor unit set temperature”, and FIG. 5 is the closest to “indoor unit suction temperature”. The graph which shows the fluctuation | variation of the A-day moving average value is shown, respectively.
Looking at these three types of graphs individually, it is not easy to understand that there is a sign of a decline in the capacity of the air conditioner or a sign of abnormality.
However, according to the illustrated embodiment, it is possible to determine whether there is a sign of a decrease in the capacity of the air conditioner 2 or a sign of abnormality in a form that anyone can understand.

次に、図6〜図9を参照して、本発明の第2実施形態を説明する。   Next, a second embodiment of the present invention will be described with reference to FIGS.

図1及び図2の第1実施形態は、故障兆候の判定基準として、「一定期間の」外気温度「の平均値」が所定温度未満で、且つ、「一定期間の」室内空気温度「の平均値」が所定温度以上で、且つ、「一定期間の」室内空気温度と設定温度の差異「の平均値」が所定値以上である日が、所定期間内に所定日数以上有る場合を「故障の前兆有り」と判定する実施形態であった。そして、それら所定温度は何れも一律の値が与えられていた。この方法では、一定期間のデータの平均値を用いて故障予知を判定している。   In the first embodiment of FIG. 1 and FIG. 2, the average of the “outside air temperature” of “a certain period” is less than a predetermined temperature and the “indoor air temperature” of “a certain period” is used as a criterion for determining failure signs. When the value is equal to or higher than the predetermined temperature and the difference between the indoor air temperature and the set temperature for a certain period of time is greater than or equal to the predetermined value, there are more than a predetermined number of days within the predetermined period. In this embodiment, it is determined that “there is a sign”. All of these predetermined temperatures are given uniform values. In this method, failure prediction is determined using an average value of data over a certain period.

これに対して、図6から図8の第2実施形態では、故障兆候の判定基準として、「診断対象日の」外気温度「そのもの」が所定温度未満で、且つ、「診断対象日の」室内空気温度「そのもの」が所定温度以上で、且つ、「診断対象日の」室内空気温度と設定温度の差異「そのもの」が所定温度差(温度差の所定温度)以上である日が、所定期間内に所定日数以上有る場合を「故障の前兆有り」と判定する実施形態である。
ここで、それら所定温度は一律ではなく、収集した運転状態のデータを下に、項目毎に以下のように求めている。
所定温度=所定期間の室温の平均値+標準偏差×A ・・・(A1)
室温と設定温度の差異の所定温度=所定期間の室温と設定温度の差異の平均値+標準偏差×A ・・・(A2)
上述した2つの式における所定期間は、空調機の使用開始から一定期間(図7、図8の符号L:例えば、365日)が経過している場合には、当該一定期間(図7、図8の符号L:例えば、365日)である。
一方、空調機の使用開始から一定期間(図7、図8の符号L:例えば、365日)が経過していない場合には、前記一定期間は、空調機の使用開始から診断を行う日(診断日)よりも所定日数(図7、図8の符号D:例えば、10日間)以前までの期間となる。
On the other hand, in the second embodiment shown in FIGS. 6 to 8, the “diagnostic day” outside air temperature “itself” is lower than a predetermined temperature and the “diagnosis target day” The day when the air temperature “itself” is equal to or higher than the predetermined temperature and the difference “in itself” between the room air temperature and the set temperature on the “day of diagnosis” is equal to or higher than the predetermined temperature difference (predetermined temperature difference) within the predetermined period. This is an embodiment in which a case where there is a predetermined number of days or more is determined as “there is a sign of failure”.
Here, these predetermined temperatures are not uniform, and are obtained for each item as follows, based on the collected data of the operating state.
Predetermined temperature = average value of room temperature over a predetermined period + standard deviation × A (A1)
Predetermined temperature of difference between room temperature and set temperature = Average value of difference between room temperature and set temperature for a predetermined period + standard deviation × A (A2)
The predetermined period in the above-described two formulas is a certain period (see FIG. 7, FIG. 7) when a certain period has passed since the start of the use of the air conditioner (L in FIG. 7, FIG. 8, for example, 365 days). 8 L: For example, 365 days).
On the other hand, if a certain period of time (symbol L in FIGS. 7 and 8, for example, 365 days) has not elapsed since the start of use of the air conditioner, the certain period is the day of diagnosis from the start of use of the air conditioner ( It is a period before a predetermined number of days (symbol D in FIGS. 7 and 8: for example, 10 days) before the diagnosis date).

先ず、図6を参照して、第2実施形態の構成を、図1の第1実施形態と異なる点を中心に説明する。なお、図6において、異常診断装置は全体を符号1Aで示す。
異常診断装置1Aのコントロールユニット6Aは、外気温、室温、設定温度のデータを記憶するデータベース61Aと、室温の平均値を演算する室温平均値演算手段63と、室温と設定温度との差異を演算する差異演算手段64と、標準偏差を演算する標準偏差演算手段66と、空調能力が低下しているか否かを判断する空調能力低下判断手段65Aとを有している。
ここで標準偏差演算手段66は、室温の標準偏差と、室温と設定温度との差異における標準偏差の双方を演算する様に構成されている。
その他の構成については、第1実施形態と実質的に同じである。
First, with reference to FIG. 6, the configuration of the second embodiment will be described focusing on differences from the first embodiment of FIG. In FIG. 6, the entire abnormality diagnosis apparatus is denoted by reference numeral 1A.
The control unit 6A of the abnormality diagnosis apparatus 1A calculates the difference between the room temperature and the set temperature, the database 61A for storing data of the outside air temperature, the room temperature, and the set temperature, the room temperature average value calculating means 63 for calculating the average value of the room temperature. Difference calculating means 64, standard deviation calculating means 66 for calculating a standard deviation, and air conditioning capacity decrease determining means 65A for determining whether or not the air conditioning capacity is decreasing.
Here, the standard deviation calculating means 66 is configured to calculate both the standard deviation of the room temperature and the standard deviation in the difference between the room temperature and the set temperature.
About another structure, it is substantially the same as 1st Embodiment.

ここで、「室温」及び「室温と設定温度の温度差」は、空調機に与えられる負荷(特に外気温度)に大きく影響される。そのため、診断日と前記所定期間において、「室温」及び「室温と設定温度の温度差」は外気温が30℃未満の時に収集したデータだけを抽出する。   Here, “room temperature” and “temperature difference between room temperature and set temperature” are greatly influenced by the load (particularly the outside air temperature) applied to the air conditioner. Therefore, only the data collected when the outside air temperature is less than 30 ° C. are extracted for “room temperature” and “temperature difference between room temperature and set temperature” between the diagnosis date and the predetermined period.

次に、図7を参照して第2実施形態の制御方法の一例を説明する。
先ず、ステップS11では、室内温度センサ3(図6参照)で室温を計測し、外気温センサ4(図6参照)で外気温を計測し、空調機操作用リモートコントロール5(図6参照)によって設定された室内機設定温度を参照する。
Next, an example of the control method of the second embodiment will be described with reference to FIG.
First, in step S11, the room temperature sensor 3 (see FIG. 6) measures the room temperature, the outside air temperature sensor 4 (see FIG. 6) measures the outside air temperature, and the air conditioner operation remote control 5 (see FIG. 6). Refer to the set indoor unit temperature.

次のステップS12では、ステップS11で計測した室内温度及び空調機操作用リモートコントロール5で設定された設定温度がネットワークNを介して遠隔監視用コンピュータ(サーバコンピュータ)6に伝送されて、遠隔監視用コンピュータ6Aのデータベース61Aに一旦読込まれ、次のステップS13に進む。   In the next step S12, the room temperature measured in step S11 and the set temperature set by the remote control 5 for operating the air conditioner are transmitted to the remote monitoring computer (server computer) 6 via the network N for remote monitoring. Once read into the database 61A of the computer 6A, the process proceeds to the next step S13.

ステップS13では、空調機の使用開始から診断を行っている日までが所定期間L(例えば365日)以上経過しているか否かを判定し、経過している場合(ステップS13がYES)にはステップS14へ進み、経過していない場合には(ステップS13がNO)にはステップS17へ進む。   In step S13, it is determined whether or not the period from the start of use of the air conditioner to the date of diagnosis has passed for a predetermined period L (for example, 365 days) or more, and if it has passed (YES in step S13). The process proceeds to step S14. If it has not elapsed (NO in step S13), the process proceeds to step S17.

ステップS14では、上記式(A1)において、「所定期間の室温の平均値」を前記所定期間Lの間に収集した室温の平均値とし、「A=3」として、式(A1)における「所定温度」を演算する。
そして、式(A2)における「所定期間の室温と設定温度の差異の平均値」を前記所定期間Lの間に収集した室温と設定温度との差(温度差)における平均値とし、「A=3」として、式(A2)における「室温と設定温度の差異の所定温度」を演算する(ステップS15)。
式(A1)の「所定温度」、式(A2)の「室温と設定温度の差異の所定温度」を演算したならば、ステップS16に進む。
In step S14, in the above formula (A1), “the average value of the room temperature during the predetermined period” is set as the average value of the room temperature collected during the predetermined period L, and “A = 3”. "Temperature" is calculated.
Then, the “average value of the difference between the room temperature and the set temperature during the predetermined period” in the formula (A2) is set as the average value of the difference (temperature difference) between the room temperature and the set temperature collected during the predetermined period L, and “A = 3 ”is calculated as“ predetermined temperature of difference between room temperature and set temperature ”in equation (A2) (step S15).
If the “predetermined temperature” of the formula (A1) and the “predetermined temperature of the difference between the room temperature and the set temperature” of the formula (A2) are calculated, the process proceeds to step S16.

一方、ステップS17では、上記式(A1)において、「所定期間の室温の平均値」を、空調機の使用開始から診断日(空調機の能力が低下したか否かを診断する日)のD日前(例えば、10日前)までの期間に収集した室温の平均値とする。そして、「A=3」として、式(A1)における「所定温度」を演算する。
式(A2)における「所定期間の室温と設定温度の差異の平均値」については、同様に、「空調機の使用開始から診断日のD日前(例えば、10日前)までの期間」を式(A2)の「所定期間」として、その間における室温と設定温度との差(温度差)の平均値を求める。そして、「A=3」として、式(A2)における「室温と設定温度の差異の所定温度」を演算する(ステップS18)。
ステップS13がNOの場合においても、式(A1)の「所定温度」、式(A2)の「室温と設定温度の差異の所定温度」を演算したならば、ステップS16に進む。
On the other hand, in step S17, in the above formula (A1), the “average value of the room temperature for a predetermined period” is set to D on the diagnosis date (the date on which the ability of the air conditioner has been reduced) from the start of use of the air conditioner. The average value of the room temperature collected during the period up to the previous day (for example, 10 days ago) is used. Then, “predetermined temperature” in equation (A1) is calculated as “A = 3”.
Similarly, for “the average value of the difference between the room temperature and the set temperature for a predetermined period” in the formula (A2), “the period from the start of use of the air conditioner to D days before the diagnosis date (for example, 10 days before)” As the “predetermined period” of A2), an average value of the difference (temperature difference) between the room temperature and the set temperature during that period is obtained. Then, “A = 3” is calculated, and “predetermined temperature of difference between room temperature and set temperature” in equation (A2) is calculated (step S18).
Even when step S13 is NO, if “predetermined temperature” in equation (A1) and “predetermined temperature of difference between room temperature and set temperature” in equation (A2) are calculated, the process proceeds to step S16.

ステップS16では、コントロールユニット6Aの空調能力低下判断手段65Aによって、診断日において、以下の条件1〜3を同時に満たすか否かを判断する。
条件1:外気温度は第1の所定温度(例えば30℃)未満であること、すなわち、
外気温度<B℃ (例えば、B=30)。
条件2:室温は所定温度(式A1参照)以上であること、すなわち、
室温≧所定温度(℃)。
条件3:室温度と設定温度との差異は「室温と設定温度の差異の所定温度」(式A2参照)以上であること、すなわち
室温と設定温度との差異≧室温と設定温度の差異の所定温度(℃)。
In step S16, it is determined by the air conditioning capability decrease determination means 65A of the control unit 6A whether the following conditions 1 to 3 are simultaneously satisfied on the diagnosis date.
Condition 1: the outside air temperature is lower than a first predetermined temperature (for example, 30 ° C.), that is,
Outside air temperature <B ° C. (for example, B = 30).
Condition 2: The room temperature is equal to or higher than a predetermined temperature (see Formula A1).
Room temperature ≧ predetermined temperature (° C.).
Condition 3: The difference between the room temperature and the set temperature is not less than “a predetermined temperature difference between the room temperature and the set temperature” (see Formula A2), that is, a difference between the room temperature and the set temperature ≧ a predetermined difference between the room temperature and the set temperature. Temperature (° C).

診断日において、上記条件を一項目でも満足しなければ(上記条件1〜3の内、1つ以上を満足しないのであれば)(ステップS16がNO)、空調能力の低下の兆候は無いと判断して(ステップS19)、ステップS22に進む。
一方、診断日において上記条件1〜3を全て充足するのであればステップS16がYES)、空調能力低下の兆候があると判断して(ステップS20)、表示手段7及び警告手段8によって表示・警告(ステップS21)を行い、ステップS22に進む。
If even one item is not satisfied on the date of diagnosis (if one or more of the above conditions 1 to 3 is not satisfied) (NO in step S16), it is determined that there is no sign of a decrease in air conditioning capacity. (Step S19), the process proceeds to Step S22.
On the other hand, if all of the above conditions 1 to 3 are satisfied on the diagnosis date, step S16 is YES), and it is determined that there is a sign of a decrease in air conditioning capacity (step S20), and display / warning is performed by the display means 7 and warning means 8. (Step S21) is performed, and the process proceeds to Step S22.

ステップS22では、コントロールユニット6Aは、制御を終了するか否かを判断する。終了するのであれば(ステップS22がYES)、そのまま終了し、制御を続けるのであれば(ステップS22がNO)、ステップS11まで戻り、再びステップS11以降を繰り返す。   In step S22, the control unit 6A determines whether or not to end the control. If completed (YES in step S22), the process is terminated as it is, and if the control is continued (NO in step S22), the process returns to step S11, and steps S11 and after are repeated again.

次に、図8及び図9を参照して、第2実施形態の変形例に係る制御について説明する。
図7の制御では、式(A1)の「所定温度」、式(A2)の「室温と設定温度の差異の所定温度」を求める際に、標準偏差に乗じる乗数Aを一つの値(A=3)のみを選択している。
これに対して、図8及び図9で示す制御では、Aについて、「3」と「1.6」の二つの数値を選択している。そして、「A」を2つ選択することにより、空調能力の低下の兆候を、「緊急レベルの高いもの」と、「緊急レベルの低いもの」とに分けるようにしている。
Next, control according to a modification of the second embodiment will be described with reference to FIGS. 8 and 9.
In the control of FIG. 7, when the “predetermined temperature” in the equation (A1) and the “predetermined temperature of the difference between the room temperature and the set temperature” in the equation (A2) are obtained, a multiplier A that multiplies the standard deviation by one value (A = Only 3) is selected.
On the other hand, in the control shown in FIGS. 8 and 9, two numerical values “3” and “1.6” are selected for A. Then, by selecting two “A”, signs of a decrease in air conditioning capacity are classified into “high emergency level” and “low emergency level”.

以下、図8及び図9に基づいて制御方法を説明する。
ここで、図8及び図9は、同一の制御を2つの部分に分けて表現しているが、これは、単一の図面で表現した場合の見難さを考慮したものである。
図8において、ステップS31〜ステップS38は、図7で示す制御におけるステップステップS21〜ステップS28と同様である。
Hereinafter, the control method will be described with reference to FIGS.
Here, FIG. 8 and FIG. 9 represent the same control divided into two parts, but this takes into account the difficulty of viewing in a single drawing.
8, step S31 to step S38 are the same as step S21 to step S28 in the control shown in FIG.

ステップS36において、空調能力低下と判定するための条件1〜3(図7のステップS16で説明したのと同様)を全て充足する場合には(ステップS36がYES)、空調能力低下の兆候があり、且つ、緊急レベルが高いと判断する(ステップS39)。
ここで、ステップS39で緊急性が高いと判断するのは、上記式A1、A2において、「所定温度」、「室温と設定温度の差異の所定温度」を求める際に、室温の平均値或いは室温と設定温度との差に加算する数値が、標準偏差の3倍という比較的大きな数値に設定しているため、「所定温度」、「室温と設定温度の差異の所定温度」も比較的高い温度が演算される。そして、「所定温度」、「室温と設定温度の差異の所定温度」を比較的高い温度に設定しても、なお、ステップS36における条件2、3を充足するということは、当該診断日における室温と、室温と設定温度との温度差が、通常の数値からかけ離れてしまっていることに他ならないからである。
In Step S36, when all of the conditions 1 to 3 for determining that the air conditioning capacity is reduced (similar to that described in Step S16 of FIG. 7) are satisfied (YES in Step S36), there is an indication that the air conditioning capacity is reduced. It is determined that the emergency level is high (step S39).
Here, it is determined in step S39 that the urgency is high because the average value of the room temperature or the room temperature is obtained when the “predetermined temperature” and the “predetermined temperature of the difference between the room temperature and the set temperature” are obtained in the above formulas A1 and A2. Since the value added to the difference between the temperature and the set temperature is set to a relatively large value of three times the standard deviation, the “predetermined temperature” and the “predetermined temperature of the difference between room temperature and set temperature” are also relatively high temperatures. Is calculated. Even if “predetermined temperature” and “predetermined temperature of difference between room temperature and set temperature” are set to a relatively high temperature, satisfying the conditions 2 and 3 in step S36 means that the room temperature on the diagnosis date is satisfied. This is because the temperature difference between the room temperature and the set temperature is far from the normal value.

ステップS39で、「空調能力低下の兆候があり、且つ、緊急レベルが高い」と判断されたならば、図9のステップS45に進み、その旨を表示し、警告する。   If it is determined in step S39 that “there is a sign that the air conditioning capacity is reduced and the emergency level is high”, the process proceeds to step S45 in FIG.

一方、ステップS36において、条件1〜3の内、1つ以上を満足しないのであれば(ステップS36がNO)、図9のステップS40に進む。
ここで、図7で示す制御のように、条件1〜3の内、1つ以上を満足しない場合に、直ちに「空調能力の低下の兆候は無し」と判断していない。
On the other hand, if one or more of the conditions 1 to 3 are not satisfied in step S36 (NO in step S36), the process proceeds to step S40 in FIG.
Here, as in the control shown in FIG. 7, when one or more of the conditions 1 to 3 are not satisfied, it is not immediately determined that “there is no sign of a decrease in the air conditioning capacity”.

ステップS40では、上述した式A1において、「室温の平均値」に加算する「標準偏差×A」における「A」を例えば「1.6」に設定して、「室温の所定温度」を演算する。
そして、上述した式A2において、「所定期間の室温と設定温度の差異の平均値」に加算する「標準偏差×A」における「A」を例えば「1.6」に設定して、「室温と設定温度の差異の所定温度」を演算する(ステップS41)。
「所定温度」、「室温と設定温度の差異の所定温度」を求める際に、室温の平均値或いは室温と設定温度との差に加算する数値を、標準偏差の1.6倍にすることにより、ステップS36で用いられた閾値(「所定温度」、「室温と設定温度の差異の所定温度」)よりも低い温度の閾値(「所定温度」、「室温と設定温度の差異の所定温度」)を採用することが可能である。これにより、緊急性は低いけれども、異常の兆候を認められる状況にあるか否かを判断することを可能なら閉めるのである。
In step S40, “A” in “standard deviation × A” to be added to “average value of room temperature” in the above-described formula A1 is set to “1.6”, for example, and “predetermined temperature of room temperature” is calculated. .
In the above-described formula A2, “A” in “standard deviation × A” to be added to “average value of difference between room temperature and set temperature for a predetermined period” is set to “1.6”, for example. “Predetermined temperature of difference in set temperature” is calculated (step S41).
When calculating “predetermined temperature” and “predetermined temperature of difference between room temperature and set temperature”, the numerical value added to the average value of room temperature or the difference between room temperature and set temperature is multiplied by 1.6 times the standard deviation. , Lower threshold values ("predetermined temperature", "predetermined temperature difference between room temperature and set temperature") than the threshold values used in step S36 ("predetermined temperature", "predetermined temperature difference between room temperature and set temperature") Can be adopted. This closes down if it is possible to determine whether or not the situation is acceptable, although it is less urgent.

そして、ステップS36と同様に、空調能力低下の判定条件1〜3を全て充足するか否かを判断する(ステップS42)。
但し、条件2(室温≧所定温度(A1参照):℃)、条件3(室温と設定温度との差異≧室温と設定温度の差異の所定温度(A2参照):℃)における「所定温度」及び「室温と設定温度の差異の所定温度」は、それぞれ、ステップS36における数値よりも低温となっている。
Then, similarly to step S36, it is determined whether or not all of the determination conditions 1 to 3 for the decrease in air conditioning capability are satisfied (step S42).
However, “predetermined temperature” under condition 2 (room temperature ≧ predetermined temperature (see A1): ° C.), condition 3 (difference between room temperature and set temperature ≧ predetermined temperature between room temperature and set temperature (see A2): ° C.) and The “predetermined temperature of the difference between the room temperature and the set temperature” is lower than the numerical value in step S36.

診断日において、上記条件を一項目でも満足しなければ(ステップS42の上記条件1〜3の内、1つ以上を満足しないのであれば)(ステップS42がNO)、空調能力の低下の兆候は無し、と判断し(ステップS43)、ステップS46に進む。
診断日において上記条件1〜3を全て充足するのであれば(ステップS42がYES)、空調能力低下の兆候があると判断する(ステップS44)。但し、この場合は、ステップS42における閾値である「所定温度」及び「室温と設定温度の差異の所定温度」は、それぞれ、ステップS36における数値よりも低温となっているため、空調能力低下の兆候があるが、その緊急性は低い、と判定する。
If even one item is not satisfied on the date of diagnosis (if one or more of the above conditions 1 to 3 in step S42 is not satisfied) (NO in step S42), there is no indication of a decrease in air conditioning capacity. It is determined that there is none (step S43), and the process proceeds to step S46.
If all of the above conditions 1 to 3 are satisfied on the diagnosis date (YES in step S42), it is determined that there is an indication of a decrease in air conditioning capability (step S44). However, in this case, the “predetermined temperature” and the “predetermined temperature that is the difference between the room temperature and the set temperature” that are the threshold values in step S42 are lower than the values in step S36, respectively. However, it is determined that the urgency is low.

「空調能力低下の兆候がある」と判定された場合(ステップS36のYESの場合と、ステップS42がYESの場合)は、表示手段7及び警告手段8によって表示・警告(ステップS45)を行い、ステップS46に進む。   When it is determined that “there is a sign of a decrease in air conditioning capacity” (YES in step S36 and YES in step S42), display / warning (step S45) is performed by the display means 7 and the warning means 8. Proceed to step S46.

ステップS46では、コントロールユニット6Aは、制御を終了するか否かを判断する。終了するのであれば(ステップS46がYES)、そのまま終了し、制御を続けるのであれば(ステップS46がNO)、図8のステップS31まで戻り、再びステップS31以降を繰り返す。   In step S46, the control unit 6A determines whether or not to end the control. If completed (YES in step S46), the process is terminated as it is, and if the control is continued (NO in step S46), the process returns to step S31 in FIG. 8, and step S31 and subsequent steps are repeated again.

図示の実施形態はあくまでも例示であり、本発明の技術的範囲を限定する趣旨の記述ではない。   The illustrated embodiment is merely an example, and is not intended to limit the technical scope of the present invention.

第1実施形態の構成を示すブロック図。The block diagram which shows the structure of 1st Embodiment. 第1実施形態における異常検知方法を示したフローチャート。The flowchart which showed the abnormality detection method in 1st Embodiment. 「外気温度」の変化を示すグラフ。The graph which shows the change of "outside temperature". 「室内機の吸込温度−室内機設定温度」の移動平均値の変動を示すグラフ。The graph which shows the fluctuation | variation of the moving average value of "suction temperature of indoor unit-indoor unit set temperature". 「室内機の吸込温度」の直近A日間移動平均値の変動を示すグラフ。The graph which shows the fluctuation | variation of the moving average value of the "indoor unit suction temperature" for the latest A day. 第2実施形態の構成を示すブロック図。The block diagram which shows the structure of 2nd Embodiment. 第2実施形態における制御の一例を示したフローチャート。The flowchart which showed an example of control in 2nd Embodiment. 第2実施形態の変形例に係る制御の一部を示したフローチャート。The flowchart which showed a part of control which concerns on the modification of 2nd Embodiment. 図8で示す制御の他の部分を示すフローチャート。The flowchart which shows the other part of the control shown in FIG.

符号の説明Explanation of symbols

1・・・異常診断装置
2・・・空調装置
3・・・室内温度センサ
4・・・室外温度センサ
5・・・リモートコントローラ
6・・・監視用コンピュータ
7・・・表示手段
8・・・警告手段
61・・・記憶手段/データベース
62・・・外気温移動平均値演算手段
63・・・室内吸込温度移動平均値演算手段
64・・・差異平均値演算手段
65・・・空調能力低下判断手段
N・・・ネットワーク
DESCRIPTION OF SYMBOLS 1 ... Abnormality diagnosis apparatus 2 ... Air conditioner 3 ... Indoor temperature sensor 4 ... Outdoor temperature sensor 5 ... Remote controller 6 ... Monitoring computer 7 ... Display means 8 ... Warning means 61 ... Storage means / database 62 ... Outside air temperature moving average value calculating means 63 ... Indoor suction temperature moving average value calculating means 64 ... Difference average value calculating means 65 ... Air conditioning capacity reduction judgment Mean N ... Network

Claims (7)

外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値を記憶する記憶手段と、一定期間の外気温の平均値を演算する手段と、一定期間の室内機空気吸込温度の平均値を演算する手段と、一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する手段と、制御手段とを備え、該制御手段は、外気温の平均値が所定温度よりも低温であり、且つ、室内機空気吸込温度と室内機設定温度との差異の平均値が所定温度以上であり、且つ、室内機空気吸込温度の平均値が所定温度以上である日が、所定期間内に所定日数以上ある場合には異常の兆候があると判断する制御を行う様に構成されていることを特徴とする空調機の異常診断装置。   Storage means for storing a representative value of the outside air temperature, a representative value of the indoor unit air suction temperature, a representative value of the indoor unit set temperature, a means for calculating an average value of the outside air temperature for a certain period, and an indoor unit air suction for a certain period Means for calculating an average value of the temperature, means for calculating an average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period, and a control unit, the control unit comprising an average of the outside air temperature The value is lower than the predetermined temperature, the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature is equal to or higher than the predetermined temperature, and the average value of the indoor unit air suction temperature is equal to or higher than the predetermined temperature. An air conditioner abnormality diagnosis apparatus configured to perform control to determine that there is an abnormality sign when a certain day is equal to or greater than a predetermined number of days within a predetermined period. 前記空調機は情報ネットワークを介して遠隔監視システムに接続されており、該遠隔監視システムは、前記記憶手段と、一定期間の外気温の平均値を演算する手段と、一定期間の室内機空気吸込温度の平均値を演算する手段と、一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する手段と、前記制御手段、とを有しており、情報ネットワークを介して、外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値を取得する様に構成されている請求項1の空調機の異常診断装置。   The air conditioner is connected to a remote monitoring system via an information network, and the remote monitoring system includes the storage means, a means for calculating an average value of outside air temperature for a certain period, and indoor unit air suction for a certain period. Means for calculating the average value of the temperature, means for calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period, and the control means, and via the information network The air conditioner abnormality diagnosis device according to claim 1, configured to acquire a representative value of the outside air temperature, a representative value of the indoor unit air suction temperature, and a representative value of the indoor unit set temperature. 外気温の代表値から一定期間の外気温の平均値を演算する工程と、室内機空気吸込温度の代表値から一定期間の室内機空気吸込温度の平均値を演算する工程と、室内機空気吸込温度の代表値及び室内機設定温度の代表値を用いて一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する工程と、外気温の平均値が所定温度よりも低温であり、且つ、室内機空気吸込温度と室内機設定温度との差異の平均値が所定温度以上であり、且つ、室内機空気吸込温度の平均値が所定温度以上である日が所定期間内に何日あるかを演算する工程と、演算された日数が所定日数を下回っている場合には異常の兆候が無いと判断し、演算された日数が所定日数以上ある場合には異常の兆候があると判断する工程、とを有することを特徴とする空調機の異常診断方法。   The step of calculating the average value of the outside air temperature for a certain period from the representative value of the outside air temperature, the step of calculating the average value of the indoor unit air suction temperature for a certain period from the representative value of the indoor unit air suction temperature, and the indoor unit air suction The step of calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period using the representative value of the temperature and the representative value of the indoor unit set temperature, and the average value of the outside air temperature is lower than the predetermined temperature A day when the average value of the difference between the indoor unit air intake temperature and the indoor unit set temperature is equal to or higher than the predetermined temperature and the average value of the indoor unit air intake temperature is equal to or higher than the predetermined temperature is within a predetermined period. And calculating the number of days, and if the calculated number of days is less than the predetermined number of days, it is determined that there is no sign of abnormality, and if the calculated number of days is greater than or equal to the predetermined number of days, there is a sign of abnormality. And a step of determining that there is Abnormality diagnosis method of the air conditioner. 外気温の平均値を演算する前記工程と、室内機空気吸込温度の平均値を演算する前記工程と、室内機空気吸込温度と室内機設定温度との差異の平均値を演算する前記工程は、情報ネットワークを介して空調機に接続された遠隔監視システムで行われ、外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値は、情報ネットワークを介して取得される請求項3の空調機の異常診断方法。   The step of calculating the average value of the outside air temperature, the step of calculating the average value of the indoor unit air suction temperature, and the step of calculating the average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature are: It is performed by a remote monitoring system connected to the air conditioner via the information network, and the representative value of the outside air temperature, the representative value of the indoor unit air suction temperature, and the representative value of the indoor unit set temperature are acquired via the information network. The abnormality diagnosis method for an air conditioner according to claim 3. 外気温の代表値、室内機空気吸込温度の代表値、室内機設定温度の代表値を記憶する記憶手段と、標準偏差演算手段と一定期間の室内機空気吸込温度の平均値を演算する手段と、一定期間の室内機空気吸込温度と室内機設定温度との差異の平均値を演算する手段と、制御手段とを備え、該制御手段は、時点での外気温が第1の所定温度よりも低温であり、且つ、時点での室内機空気吸込温度と室内機設定温度との差異の値が第2の所定温度以上であり、且つ、時点での室内機空気吸込温度が第3の所定温度以上である日が、所定期間内に所定日数以上ある場合には異常の兆候があると判断する制御を行う様に構成されていることを特徴とする空調機の異常診断装置。   Storage means for storing a representative value of the outside air temperature, a representative value of the indoor unit air suction temperature, a representative value of the indoor unit set temperature, a standard deviation calculating means, and a means for calculating an average value of the indoor unit air suction temperature for a certain period; A means for calculating an average value of the difference between the indoor unit air suction temperature and the indoor unit set temperature for a certain period, and a control unit, wherein the control unit has an outside air temperature at a time point higher than the first predetermined temperature. The value of the difference between the indoor unit air suction temperature and the indoor unit set temperature at the time is lower than the second predetermined temperature, and the indoor unit air suction temperature at the time is the third predetermined temperature. An abnormality diagnosis device for an air conditioner configured to perform control to determine that there is an abnormality sign when the number of days is equal to or greater than a predetermined number of days within a predetermined period. 外気温、室温、設定温度を記憶する記憶手段と、標準偏差演算手段と、一定期間の室温の平均値を演算する手段と、一定期間の室温と設定温度との差異の平均値を演算する手段と、制御手段とを備え、該制御手段は、外気温が第1の所定温度よりも低温であり、且つ、室温が第2の所定温度以上であり、且つ、室温と設定温度との差異が第3の所定温度以上である場合には異常の兆候があると判断し、前記第2の所定値は所定期間の室温の平均値に特定乗数を乗じた標準偏差値を加算した数値であり、前記第3の所定温度は所定期間の室温と設定温度の差異の平均値に特定乗数を乗じた標準偏差値を加算した数値である制御を行う様に構成されていることを特徴とする空調機の異常診断装置。   Storage means for storing outside air temperature, room temperature, and set temperature; standard deviation calculating means; means for calculating an average value of room temperature for a fixed period; and means for calculating an average value of a difference between room temperature and set temperature for a fixed period And control means, wherein the control means is such that the outside air temperature is lower than the first predetermined temperature, the room temperature is equal to or higher than the second predetermined temperature, and the difference between the room temperature and the set temperature is When the temperature is equal to or higher than the third predetermined temperature, it is determined that there is an abnormality sign, and the second predetermined value is a numerical value obtained by adding a standard deviation value obtained by multiplying an average value of room temperature for a predetermined period by a specific multiplier, The third predetermined temperature is configured to perform control that is a numerical value obtained by adding a standard deviation value obtained by multiplying an average value of a difference between room temperature and a set temperature for a predetermined period by a specific multiplier. Abnormality diagnosis device. 請求項6の異常診断装置を用いた空調機の異常診断方法において、外気温を計測する工程と、室温を計測する工程と、一定期間の室温の平均値を演算する工程と、室温の標準偏差を演算する工程と、一定期間の室温と設定温度との差異の平均値を演算する工程と、室温と設定温度との差異の標準偏差を演算する工程と、外気温が第1の所定温度よりも低温であり、且つ、室温が第2の所定温度以上であり、且つ、室温と設定温度との差異が第3の所定温度以上である場合には異常の兆候があると判断する工程、とを有し、前記第2の所定値は、所定期間の室温の平均値に特定乗数を乗じた標準偏差値を加算した数値であり、前記第3の所定温度は所定期間の室温と設定温度の差異の平均値に特定乗数を乗じた標準偏差値を加算した数値であることを特徴とする空調機の異常診断方法。   7. An abnormality diagnosis method for an air conditioner using the abnormality diagnosis apparatus according to claim 6, wherein a step of measuring an outside temperature, a step of measuring a room temperature, a step of calculating an average value of the room temperature for a certain period, and a standard deviation of the room temperature Calculating the average difference between the room temperature and the set temperature for a certain period, calculating the standard deviation of the difference between the room temperature and the set temperature, and the outside air temperature from the first predetermined temperature Determining that there is a sign of abnormality when the temperature is low temperature, the room temperature is equal to or higher than the second predetermined temperature, and the difference between the room temperature and the set temperature is equal to or higher than the third predetermined temperature; The second predetermined value is a numerical value obtained by adding a standard deviation value obtained by multiplying an average value of room temperature over a predetermined period by a specific multiplier, and the third predetermined temperature is a room temperature and a set temperature of the predetermined period. It is a numerical value obtained by adding the standard deviation value obtained by multiplying the average value of the difference by a specific multiplier. An air conditioner abnormality diagnosis method characterized by:
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