JP2016113260A - Elevator abnormal sound diagnostic system - Google Patents
Elevator abnormal sound diagnostic system Download PDFInfo
- Publication number
- JP2016113260A JP2016113260A JP2014253363A JP2014253363A JP2016113260A JP 2016113260 A JP2016113260 A JP 2016113260A JP 2014253363 A JP2014253363 A JP 2014253363A JP 2014253363 A JP2014253363 A JP 2014253363A JP 2016113260 A JP2016113260 A JP 2016113260A
- Authority
- JP
- Japan
- Prior art keywords
- waveform
- abnormal
- elevator
- storage unit
- unit
- 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
Links
Landscapes
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
Description
本発明は、エレベーターの異常音診断装置に係り、特にエレベーターの走行時に発する異常音を検出するのに好適なエレベーターの異常音診断装置に関する。 The present invention relates to an abnormal sound diagnosis apparatus for an elevator, and more particularly to an abnormal sound diagnosis apparatus for an elevator suitable for detecting an abnormal sound generated when the elevator travels.
エレベーターの運行中に発生するエレベーターの異常音を診断する技術として、マイクで集音した波形に対し、周波数解析して周波数スペクトルを求め、正常音の周波数帯域以外の周波数帯域が存在するとき異常音が発生していると診断する技術が開示されている（特許文献１参照）。 As a technology for diagnosing abnormal noise of an elevator that occurs during elevator operation, the frequency spectrum is obtained by analyzing the frequency of the waveform collected by the microphone, and when there is a frequency band other than the normal frequency band, A technique for diagnosing the occurrence of this has been disclosed (see Patent Document 1).
上記特許文献１の技術は、正常音と異常音が同一周波数帯域に存在する場合、異常音と正常音との弁別ができず、異常音を診断できないという問題があった。 The technique of Patent Document 1 has a problem that when normal sound and abnormal sound exist in the same frequency band, the abnormal sound cannot be distinguished from the normal sound, and the abnormal sound cannot be diagnosed.
本発明の目的は、マイクで集音した音の波形に対し、波形を弁別して異常波形を抽出するエレベーターの異常音診断装置を提供することにある。 An object of the present invention is to provide an abnormal sound diagnosis apparatus for an elevator that discriminates a waveform from a sound waveform collected by a microphone and extracts an abnormal waveform.
上記目的を達成するために、本発明は、エレベーターの設備に設けたマイクより音を収集し、収集した音とエレベーター稼働状況に基づいて当該エレベーターの稼働時に発生する異常音を検出するエレベーターの異常音診断装置において、前記マイクから取得した音の波形を周波数に幅を持たせた解析周波数毎の周波数解析を行なう周波数解析部と、この周波数解析部で弁別した複数の周波数に対し、周期解析を行う周期解析部と、前記周波数解析部と前記周期解析部の解析にて、連続波形と周期波形と単一波形とを抽出する波形抽出部と、この波形抽出部で抽出した波形をエレベーター稼働状況に応じて記憶する測定波形格納部と、前記連続波形と前記周期波形と前記単一波形とを前記測定波形格納部に記憶された波形と比較し、これら記憶されている波形に存在しない波形の抽出単一波形を、エレベーターの稼働時に発生した異常波形とする稼働波形検出部と、この稼働波形検出部が検出した異常波形を格納する稼働時異常波形格納部と、少なくとも複数の異常時波形を予め格納する比較波形格納部と、前記稼働時異常波形格納部に格納された前記抽出単一波形の異常波形が、前記比較波形格納部に格納される複数の前記異常時波形に存在するか否かを判定するとともに、前記異常時波形の存在を判定すると、インターネット回線を介し、エレベーターの異常発生を遠隔的に監視する監視センクヘの異常発生通報を指令する異常波形検出部と、を備えたものである。 In order to achieve the above object, the present invention collects sound from a microphone provided in an elevator facility, and detects an abnormal sound of the elevator that detects an abnormal sound generated during operation of the elevator based on the collected sound and the operating condition of the elevator. In the sound diagnosis apparatus, a frequency analysis unit that performs frequency analysis for each analysis frequency having a frequency range for the sound waveform acquired from the microphone, and a periodic analysis for a plurality of frequencies discriminated by the frequency analysis unit. The period analysis unit to be performed, the waveform extraction unit that extracts the continuous waveform, the periodic waveform, and the single waveform in the analysis of the frequency analysis unit and the period analysis unit, and the elevator operation status of the waveform extracted by the waveform extraction unit The measured waveform storage unit stored in response to the waveform, the continuous waveform, the periodic waveform, and the single waveform are compared with the waveforms stored in the measured waveform storage unit. Extracting a waveform that does not exist in the operating waveform An operating waveform detector that converts a single waveform into an abnormal waveform that occurs during elevator operation, and an operating abnormal waveform storage that stores the abnormal waveform detected by this operating waveform detector A comparison waveform storage unit that stores at least a plurality of abnormal waveforms in advance, and a plurality of abnormal waveforms of the extracted single waveform stored in the operating abnormal waveform storage unit are stored in the comparison waveform storage unit. When determining whether or not the abnormal waveform exists, and determining the presence of the abnormal waveform, an abnormality commanding an abnormality occurrence notification to a monitoring center that remotely monitors the occurrence of an abnormality in the elevator via the Internet line A waveform detection unit.
本発明は、上記のようにしたので、マイクで取得した音の波形を、周波数解析部と周期解析部で周波数と周期を波形抽出部で特徴付けた波形を、測定波形格納部にてエレベーターの稼働時とドア稼働時及び停止時に発生する波形に区別して格納するとともに、測定波形格納部に格納される波形に存在しない波形を異常波形として稼働時異常波形格納部へ格納し、異常波形検出部は、測定波形格納部が判断した異常波形を、比較波形格納部に予め格納される異常時波形に存在するか否かで、異常波形を検出することができる。 Since the present invention is configured as described above, the waveform of the sound acquired by the microphone, the waveform characterized by the frequency extraction unit and the frequency extraction unit by the frequency analysis unit and the period extraction unit, and the waveform of the elevator in the measurement waveform storage unit. The waveform that is generated during operation, door operation, and stop is stored separately, and the waveform that does not exist in the waveform stored in the measurement waveform storage unit is stored as an abnormal waveform in the abnormal waveform storage unit during operation. Can detect an abnormal waveform based on whether or not the abnormal waveform determined by the measurement waveform storage unit exists in the abnormal waveform stored in advance in the comparison waveform storage unit.
本発明によれば、周波数解析部と周期解析部で周波数と周期を波形抽出部で弁別し、稼働波形検出部で稼働時の異常波形を判定するようにしたので、エレベーターの異常音に対する是非の判断の精度が向上する。 According to the present invention, the frequency analysis unit and the period analysis unit discriminate the frequency and period by the waveform extraction unit, and the operation waveform detection unit determines the abnormal waveform during operation. The accuracy of judgment is improved.
以下、本発明のエレベーターの異常音診断装置に関する実施形態を図１〜図６を用いて説明する。 Hereinafter, an embodiment relating to an abnormal sound diagnosis apparatus for an elevator according to the present invention will be described with reference to FIGS.
図１において、マイク１はかご２の上部に設置され、エレベーターの周辺で発生する音とエレベーターの運転音を常時集音している。 In FIG. 1, a microphone 1 is installed at the upper part of a car 2 and always collects sounds generated around the elevator and operation sounds of the elevator.
マイク１で集音した音は、増幅部１１で増幅し、ＡＤ変換部１２でデジタル信号に変換され、このデジタル信号を周波数解析部１３でフーリエ変換して周波数解析を行う。 The sound collected by the microphone 1 is amplified by the amplifying unit 11, converted into a digital signal by the AD converting unit 12, and subjected to frequency analysis by Fourier transforming the digital signal by the frequency analyzing unit 13.
また、周波数解析部１３で周波数解析した結果の一部を抽出した波形を、周期解析部１４で再度フーリエ変換して周波数解析を行う。 Further, a waveform obtained by extracting a part of the result of frequency analysis by the frequency analysis unit 13 is subjected to frequency analysis by performing Fourier transform again on the period analysis unit 14.
周期解析部１４の解析結果より、周期検出部１５で連続波形や周期波形の有無の存在を検出し、周波数解析部１３の解析結果と周期検出部１５の検出結果より、波形抽出部１６は、連続で発生する音と、所定の周期を有して発生する音と、物体が衝突したとき発生する連続性や周期性もなく直ぐに終息する音に弁別する。 From the analysis result of the period analysis unit 14, the period detection unit 15 detects the presence or absence of a continuous waveform or a periodic waveform. From the analysis result of the frequency analysis unit 13 and the detection result of the period detection unit 15, the waveform extraction unit 16 A distinction is made between a sound that occurs continuously, a sound that occurs with a predetermined period, and a sound that ends immediately without any continuity or periodicity that occurs when an object collides.
また、エレベーターの制御指令を行なう制御盤３から特定の信号を取得し、エレベーターの稼働状況を確認して稼働状況信号を出力する稼働確認部１８を設け、稼働確認部１８からの出力信号にて、マイク１で収録して波形抽出部１６で弁別した波形を、例えば、走行時、ドア開閉時、停止時毎に、測定波形格納部１９の走行時波形格納部１９ａ、ドア稼働時格納部１９ｂ、停止時波形格納部１９ｃへ、それぞれ格納する。 Further, a specific signal is obtained from the control panel 3 for giving an elevator control command, an operation confirmation unit 18 for confirming the operation state of the elevator and outputting an operation state signal is provided, and an output signal from the operation confirmation unit 18 is provided. The waveform recorded by the microphone 1 and discriminated by the waveform extraction unit 16 is, for example, a traveling waveform storage unit 19a of the measurement waveform storage unit 19 and a door operation storage unit 19b for each time of traveling, door opening / closing, and stopping. And stored in the waveform storage unit 19c at the time of stop.
また、稼働波形検出部２１は、波形抽出部１６で弁別した波形に対し、測定波形格納部１９の走行時波形格納部１９ａに格納される走行時波形、ドア稼働時波形格納部１９ｂに格納されるドア稼働時波形、停止時波形格納部１９ｃに格納される停止時波形を比較し、これらの波形に存在しない波形を、エレベーターの稼働時に発生した異常検出波形として稼働時異常波形格納部２２へ格納する。 Further, the operating waveform detection unit 21 stores the travel waveform stored in the travel waveform storage unit 19a of the measurement waveform storage unit 19 and the door operation waveform storage unit 19b with respect to the waveform discriminated by the waveform extraction unit 16. The door operating waveform and the stopping waveform storage unit 19c are compared, and the waveforms that do not exist in these waveforms are compared to the operating abnormal waveform storage unit 22 as an abnormality detection waveform generated when the elevator is operating. Store.
また、エレベーター稼働時における波形を格納する比較波形格納部２４は、正常波形を格納する正常時波形格納部２４ａと、異常と判定された波形を格納する異常時波形格納部２４ｂと、正常か異常か判断付かない波形を格納する要判定波形格納部２４ｃと、を少なくとも有している。 In addition, the comparison waveform storage unit 24 that stores waveforms during elevator operation includes a normal waveform storage unit 24a that stores normal waveforms, an abnormal waveform storage unit 24b that stores waveforms determined to be abnormal, and normal or abnormal A determination-needed waveform storage unit 24c that stores a waveform that cannot be determined.
また、異常波形検出部２３は、稼働時異常波形格納部２２へ格納した異常検出波形を、比較波形格納部２４の正常時波形格納部２４ａと異常時波形格納部２４ｂと要判定波形格納部２４ｃに格納される波形と、それぞれ比較して該当の格納部へ格納するとともに、当該波形が異常時波形格納部２４ｂに格納される波形の中に一致する波形が存在する場合、発報部２５を起動し、インターネット回線２６を介し、エレベーターの異常発生を遠隔的に監視する監視センタ２７へ通報する。 In addition, the abnormal waveform detection unit 23 converts the abnormality detection waveform stored in the operating abnormal waveform storage unit 22 into the normal waveform storage unit 24a, the abnormal waveform storage unit 24b, and the determination required waveform storage unit 24c of the comparison waveform storage unit 24. If the corresponding waveform exists in the waveforms stored in the abnormal waveform storage unit 24b, the alarm unit 25 is set to the alarm unit 25. It starts up and reports via the Internet line 26 to the monitoring center 27 that remotely monitors the occurrence of an abnormality in the elevator.
また、異常波形検出部２３は、当該波形が正常時波形格納部２４ａと異常時波形格納部２４ｂに格納される波形の中に一致する波形が存在しない波形を、要判定波形格納部２４ｃへ格納し、この要判定波形格納部２４ｃの波形格納件数が所定数となると、発報部２５を起動し、インターネット回線２６を介して監視センタ２７へ、要判定波形格納部２４ｃに格納している波形情報を送信する。 In addition, the abnormal waveform detection unit 23 stores, in the determination required waveform storage unit 24c, a waveform in which there is no matching waveform among the waveforms stored in the normal waveform storage unit 24a and the abnormal waveform storage unit 24b. When the number of stored waveforms in the required waveform storage unit 24c reaches a predetermined number, the reporting unit 25 is activated, and the waveform stored in the required waveform storage unit 24c is transmitted to the monitoring center 27 via the Internet line 26. Send information.
また、監視センタ２７は、受信した波形情報に対してそれぞれ正常か異常かの検証を行うとともに、正常か異常かが判明した波形を正常時波形格納部２４ａ或は異常時波形格納部２４ｂへ格納し、異常波形検出部２３が行なう正常及び異常の判定精度を向上させる。 In addition, the monitoring center 27 verifies whether the received waveform information is normal or abnormal, and stores the waveform that is determined to be normal or abnormal in the normal waveform storage unit 24a or the abnormal waveform storage unit 24b. Thus, the accuracy of normality / abnormality determination performed by the abnormal waveform detector 23 is improved.
次に、本実施形態の動作の説明を、エレベーターが走行したときにマイク１が取得した図２に示す音（波形）を用いて説明する。 Next, the operation of the present embodiment will be described using the sound (waveform) shown in FIG. 2 acquired by the microphone 1 when the elevator travels.
図２に示す波形は、例えば、モーター回転等により発生する連続波形Ａと、例えば、図示しないサイレンから発せられる所定の周期を持った周期波形Ｂと、例えば、物がぶつかったときに発生し、直ぐに終息する単一波形Ｃと、が合成された波形となっている。 The waveform shown in FIG. 2 is generated when, for example, an object collides with a continuous waveform A generated by motor rotation or the like, a periodic waveform B having a predetermined period generated from a siren (not shown), for example, A single waveform C that ends immediately is a synthesized waveform.
ここで、単一波形Ｃを取り去った場合、モーター回転等により発生する連続波形Ａと、外部からのサイレン音である周期波形Ｂと、で構成される波形となり、エレベーターに異常が無い通常状態のときにマイク１により取得した波形であり、外部からのサイレン音である周期波形Ｂのみで構成される波形が、エレベーターが停止時にマイク１により取得した波形である。 Here, when the single waveform C is removed, it becomes a waveform composed of a continuous waveform A generated by motor rotation or the like and a periodic waveform B which is a siren sound from the outside, and in a normal state in which there is no abnormality in the elevator A waveform that is sometimes acquired by the microphone 1 and is composed only of the periodic waveform B that is an external siren sound is a waveform acquired by the microphone 1 when the elevator stops.
次に、マイク１が取得した図２に示す波形は、増幅部１１とＡＤ変換部１２を介し周波数解析部１３へ入力され、周波数解析部１３は入力されたデジタル信号化された波形に対し、フーリエ変換にて周波数解析を実施する。 Next, the waveform shown in FIG. 2 acquired by the microphone 1 is input to the frequency analysis unit 13 via the amplification unit 11 and the AD conversion unit 12, and the frequency analysis unit 13 Perform frequency analysis by Fourier transform.
次に、周波数解析部１３が行った周波数解析を、図３（ａ）及び図３（ｂ）にて説明する。ここで、縦軸は複数の周波数で構成される所定の周波数幅を有する解析周波数ｆ（１）〜ｆ（７）で、横軸は時間を示し、解析周波数ｆ（１）〜ｆ（７）毎に信号強度（音の大きさ）が高いもの程、黒く表示している。 Next, frequency analysis performed by the frequency analysis unit 13 will be described with reference to FIGS. 3 (a) and 3 (b). Here, the vertical axis represents analysis frequencies f (1) to f (7) having a predetermined frequency width composed of a plurality of frequencies, the horizontal axis represents time, and the analysis frequencies f (1) to f (7). The higher the signal intensity (sound volume) is, the more black it is displayed.
まず、上述したエレベーターに異常が無い通常状態である連続波形Ａと周期波形Ｂの場合、周波数解析部１３によって、連続波形Ａは、解析周波数ｆ（７），ｆ（８）に存在する周波数と強度が殆ど変化しない連続波形と、周期波形Ｂは、解析周波数ｆ（４），ｆ（５）に存在する周波数と強度が周期的に変化する周期波形と、で構成される図３（ａ）に示す正常時波形３０ａが得られる。 First, in the case of the continuous waveform A and the periodic waveform B that are normal states in which the elevator has no abnormality, the frequency analysis unit 13 determines that the continuous waveform A is a frequency existing at the analysis frequencies f (7) and f (8). FIG. 3A shows a continuous waveform in which the intensity hardly changes and a periodic waveform B composed of a frequency existing in the analysis frequencies f (4) and f (5) and a periodic waveform in which the intensity changes periodically. The normal waveform 30a shown in FIG.
次に、図２に示す連続波形Ａと周期波形Ｂと単一波形Ｃとで合成された波形の場合、図３（ｂ）に示すように、周波数解析部１３によって、正常時波形３０ａにおける解析周波数ｆ（７），ｆ（８）に存在する周波数と強度が殆ど変化しない連続波形と、解析周波数ｆ（４），ｆ（５）に存在する周波数と強度が周期的に変化する周期波形とに加え、単一波形Ｃは、解析周波数ｆ（１），ｆ（２）に存在する稼働波形３０ｃと、で構成される稼動時波形３０ｂが得られる。 Next, in the case of the waveform synthesized by the continuous waveform A, the periodic waveform B, and the single waveform C shown in FIG. 2, as shown in FIG. 3B, the frequency analysis unit 13 analyzes the normal waveform 30a. A continuous waveform in which the frequencies and intensities existing at the frequencies f (7) and f (8) hardly change, and a periodic waveform in which the frequencies and intensities existing at the analysis frequencies f (4) and f (5) change periodically. In addition, a single waveform C is obtained as an operating waveform 30b composed of an operating waveform 30c existing at the analysis frequencies f (1) and f (2).
また、周波数解析部１３にて周波数解析した一部の結果より、図４に示すように、解析周波数ｆ（７）、ｆ（８）のように周波数、強度が殆ど変化しない連続信号３１ａと、解析周波数ｆ（４）、ｆ（５）のように、周期Ｔを有するパルス波形である周期信号３１ｂが抽出される。 Further, from a part of the result of frequency analysis by the frequency analysis unit 13, as shown in FIG. 4, a continuous signal 31a in which the frequency and intensity hardly change like the analysis frequencies f (7) and f (8), A periodic signal 31b, which is a pulse waveform having a period T, is extracted as in the analysis frequencies f (4) and f (5).
次に、図４に示す連続信号３１ａと周期信号３１ｂを、周期解析部１４にて再度フーリエ変換すると、図５に示すように、解析周波数ｆ（７）、ｆ（８）のような連続信号３１ａは、連続検出位置３１ｅである強度のピークが当初に発生する連続検出３１ｃが得られ、解析周波数ｆ（４）、ｆ（５）のような周期信号３１ｂは、強度のピークが周期検出位置３１ｆに現れる周期検出３１ｄが得られる。 Next, when the continuous signal 31a and the periodic signal 31b shown in FIG. 4 are Fourier-transformed again by the periodic analysis unit 14, continuous signals such as analysis frequencies f (7) and f (8) are obtained as shown in FIG. 31a is a continuous detection position 31e in which a continuous detection position 31e in which an intensity peak initially occurs is obtained, and a periodic signal 31b such as the analysis frequencies f (4) and f (5) has an intensity peak at a periodic detection position. A period detection 31d appearing at 31f is obtained.
次に、周期解析部１４にてフーリエ変換の結果である図５に示す連続検出位置３１ｅと周期信号３１ｂを周期検出部１５へ入力すると、周期検出部１５は周波数の低い位置に強度のピークが現れる連続検出位置３１ｅを連続波形と判断し、強度のピークが周期検出位置３１ｆに存在する周期信号３１ｂを周期波形と判断し、波形抽出部１６へ出力する。 Next, when the period analysis unit 14 inputs the continuous detection position 31e and the period signal 31b shown in FIG. 5 which are the results of the Fourier transform to the period detection unit 15, the period detection unit 15 has an intensity peak at a low frequency position. The appearing continuous detection position 31e is determined as a continuous waveform, and the periodic signal 31b having an intensity peak at the periodic detection position 31f is determined as a periodic waveform, and is output to the waveform extraction unit 16.
また、周波数解析部１３と周期検出部１５から入力される情報によって、波形抽出部１６は図６に示すように、周期検出部１５にて連続波形と判断した稼動時波形３０ｂの解析周波数ｆ（７），ｆ（８）を、抽出連続波形３２ａとして抽出し、周期検出部１５にて周期波形と判断した稼動時波形３０ｂの解析周波数ｆ（４）、ｆ（５）を抽出周期波形３２ｂとして抽出し、稼動時波形３０ｂから抽出連続波形３２ａと抽出周期波形３２ｂを引いて、残りの波形である稼働波形３０ｃを抽出単一波形３２ｃとして取得する。 Further, as shown in FIG. 6, the waveform extraction unit 16 based on the information input from the frequency analysis unit 13 and the period detection unit 15 analyzes the analysis frequency f ( 7) and f (8) are extracted as the extracted continuous waveform 32a, and the analysis frequencies f (4) and f (5) of the operating waveform 30b determined by the period detection unit 15 as the periodic waveform are used as the extracted periodic waveform 32b. The extracted continuous waveform 32a and the extracted periodic waveform 32b are subtracted from the operating waveform 30b, and the remaining operating waveform 30c is acquired as the extracted single waveform 32c.
ここで、図２に示すマイク１が取得した単一波形Ｃは、図３（ｂ）に示す解析周波数ｆ（１）、ｆ（２）に存在する稼働波形３０ｃ、及び図６に示す抽出単一波形３２ｃとなる。 Here, the single waveform C acquired by the microphone 1 shown in FIG. 2 is the operating waveform 30c existing in the analysis frequencies f (1) and f (2) shown in FIG. One waveform 32c is obtained.
次に、波形抽出部１６にて弁別・抽出した抽出連続波形３２ａと抽出周期波形３２ｂと抽出単一波形３２ｃは、稼働確認部１８からの出力信号が走行時であるので、測定波形格納部１９の走行時波形格納部１９ａへそれぞれ格納される。 Next, the extracted continuous waveform 32a, the extracted periodic waveform 32b, and the extracted single waveform 32c discriminated / extracted by the waveform extracting unit 16 are the measured waveform storage unit 19 because the output signal from the operation confirming unit 18 is during travel. Are stored in the running waveform storage unit 19a.
また、稼働波形検出部２１は、抽出連続波形３２ａと抽出周期波形３２ｂと抽出単一波形３２ｃを、走行時波形格納部１９ａとドア稼働時格納部１９ｂと停止時波形格納部１９ｃに格納される波形と比較し、これらの波形に存在しない波形である抽出単一波形３２ｃを、エレベーターの稼働時に発生した異常検出波形として稼働時異常波形格納部２２へ格納する。 The operating waveform detector 21 stores the extracted continuous waveform 32a, the extracted periodic waveform 32b, and the extracted single waveform 32c in the traveling waveform storage unit 19a, the door operating storage unit 19b, and the stopped waveform storage unit 19c. Compared with the waveform, the extracted single waveform 32c, which is a waveform that does not exist in these waveforms, is stored in the operating abnormality waveform storage unit 22 as an abnormality detection waveform generated when the elevator is operating.
次に、異常波形検出部２３は、稼働時異常波形格納部２２へ格納した抽出単一波形３２ｃを、比較波形格納部２４の正常時波形格納部２４ａと異常時波形格納部２４ｂと要判定波形格納部２４ｃに格納される波形と、それぞれ比較して該当の格納部へ格納するとともに、当該波形が異常時波形格納部２４ｂに格納される波形の中に一致する波形が存在する場合、発報部２５を起動し、インターネット回線２６を介し、エレベーターの異常発生を遠隔的に監視する監視センタ２７へ通報する。 Next, the abnormal waveform detection unit 23 extracts the extracted single waveform 32c stored in the operating abnormal waveform storage unit 22 from the normal waveform storage unit 24a, the abnormal waveform storage unit 24b, and the determination required waveform of the comparison waveform storage unit 24. When the waveform stored in the storage unit 24c is compared with the waveform stored in the corresponding storage unit and the corresponding waveform exists in the waveform stored in the abnormal waveform storage unit 24b, the alarm is issued. The unit 25 is activated, and a notification is sent to the monitoring center 27 that remotely monitors the occurrence of an elevator abnormality via the Internet line 26.
本実施形態によれば、マイク１で取得した音の波形を、周波数解析部１３と周期解析部１４で周波数と周期を波形抽出部で特徴付け、この特徴付けた波形を、測定波形格納部１９は、エレベーターの稼働時とドア稼働時及び停止時に発生する波形に区別して格納するとともに、測定波形格納部１９に格納される波形に存在しない波形を異常波形として稼働時異常波形格納部２２へ格納し、異常波形検出部２３は、測定波形格納部１９が判断した異常波形を、予め格納される比較波形格納部２４の正常時波形格納部２４ａと異常時波形格納部２４ｂと要判定波形格納部２４ｃに格納される波形と、それぞれ比較して良否の判断を行う。 According to the present embodiment, the waveform of the sound acquired by the microphone 1 is characterized by the frequency extracting unit 13 and the period analyzing unit 14, and the waveform and the period are characterized by the waveform extracting unit. Stores the waveforms that are generated when the elevator is operating, when the door is operating, and when the door is stopped, and stores waveforms that do not exist in the waveform stored in the measured waveform storage unit 19 as abnormal waveforms in the operating abnormal waveform storage unit 22. Then, the abnormal waveform detection unit 23 converts the abnormal waveform determined by the measurement waveform storage unit 19 into the normal waveform storage unit 24a, the abnormal waveform storage unit 24b, and the determination required waveform storage unit of the comparison waveform storage unit 24 stored in advance. A pass / fail judgment is made by comparing with the waveform stored in 24c.
このようにしたので、エレベーターの稼働による音の波形と、エレベーターの周辺で発生する音の波形と、エレベーター稼働時の異常波形とを弁別することができるので、エレベーターの異常音の検出精度が向上する。 As a result, it is possible to discriminate between the waveform of the sound due to the operation of the elevator, the waveform of the sound generated around the elevator, and the abnormal waveform during the operation of the elevator, thus improving the detection accuracy of the abnormal sound of the elevator To do.
Ａ 連続波形
Ｂ 周期波形
Ｃ 単一波形
１ マイク
３ 制御盤
１１ 増幅部
１２ ＡＤ変換部
１３ 周波数解析部
１４ 周期解析部
１５ 周期検出部
１６ 波形抽出部
１８ 稼働確認部
１９ 測定波形格納部
１９ａ 走行時波形格納部
１９ｂ ドア稼働時波形格納部
１９ｃ 停止時波形格納部
２１ 稼働波形検出部
２２ 稼働時異常波形格納部
２３ 異常波形検出部
２４ 比較波形格納部
２４ａ 正常時波形格納部
２４ｂ 異常時波形格納部
２４ｃ 要判定波形格納部
３０ａ 正常時波形
３０ｂ 稼動時波形
３０ｃ 稼働波形
３２ａ 抽出連続波形
３２ｂ 抽出周期波形
３２ｃ 抽出単一波形
A continuous waveform B periodic waveform C single waveform 1 microphone 3 control panel 11 amplification unit 12 AD conversion unit 13 frequency analysis unit 14 period analysis unit 15 period detection unit 16 waveform extraction unit 18 operation confirmation unit 19 measurement waveform storage unit 19a during travel Waveform storage unit 19b Door operating waveform storage unit 19c Stopped waveform storage unit 21 Operating waveform detection unit 22 Operating abnormal waveform storage unit 23 Abnormal waveform detection unit 24 Comparison waveform storage unit 24a Normal waveform storage unit 24b Abnormal waveform storage unit 24c Required waveform storage unit 30a Normal waveform 30b Operating waveform 30c Operating waveform 32a Extraction continuous waveform 32b Extraction period waveform 32c Extraction single waveform
Claims (1)
前記マイクから取得した音の波形を周波数に幅を持たせた解析周波数毎の周波数解析を行なう周波数解析部と、
この周波数解析部で弁別した複数の周波数に対し、周期解析を行う周期解析部と、
前記周波数解析部と前記周期解析部の解析にて、連続波形と周期波形と単一波形を抽出する波形抽出部と、
この波形抽出部で抽出した波形をエレベーター稼働状況に応じて記憶する測定波形格納部と、
前記連続波形と前記周期波形と前記単一波形を前記測定波形格納部に記憶される波形と比較し、これら記憶されている波形に存在しない波形の抽出単一波形を、エレベーターの稼働時に発生した異常波形とする稼働波形検出部と、
この稼働波形検出部が検出した異常波形を格納する稼働時異常波形格納部と、
少なくとも複数の異常時波形を予め格納する比較波形格納部と、
前記稼働時異常波形格納部に格納された前記抽出単一波形の異常波形が、前記比較波形格納部に格納される複数の前記異常時波形に存在するか否かを判定するとともに、前記異常時波形の存在を判定すると、インターネット回線を介し、エレベーターの異常発生を遠隔的に監視する監視センクヘの異常発生通報を指令する異常波形検出部と、
を備えたことを特徴とするエレベーターの異常音診断装置。 In the elevator abnormal sound diagnostic device that collects sound from the microphone provided in the elevator equipment and detects the abnormal sound generated when the elevator is operating based on the collected sound and the elevator operating status,
A frequency analysis unit that performs frequency analysis for each analysis frequency having a frequency range for the waveform of the sound acquired from the microphone;
For a plurality of frequencies discriminated by this frequency analysis unit, a cycle analysis unit that performs cycle analysis,
In the analysis of the frequency analysis unit and the period analysis unit, a waveform extraction unit that extracts a continuous waveform, a periodic waveform, and a single waveform;
A measurement waveform storage unit that stores the waveform extracted by the waveform extraction unit according to the elevator operating status;
The continuous waveform, the periodic waveform, and the single waveform were compared with the waveforms stored in the measurement waveform storage unit, and an extracted single waveform that did not exist in the stored waveforms was generated during operation of the elevator An operating waveform detector for making an abnormal waveform;
An abnormal waveform storage unit during operation for storing the abnormal waveform detected by the operational waveform detector;
A comparison waveform storage unit that stores at least a plurality of abnormal waveforms in advance;
It is determined whether the abnormal waveform of the extracted single waveform stored in the operating abnormal waveform storage unit exists in the plurality of abnormal waveforms stored in the comparison waveform storage unit, and the abnormal time When determining the presence of the waveform, via the Internet line, an abnormal waveform detection unit for instructing an abnormality occurrence report to the monitoring center for remotely monitoring the occurrence of an abnormality in the elevator,
An abnormal sound diagnosis apparatus for an elevator, comprising:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014253363A JP2016113260A (en) | 2014-12-15 | 2014-12-15 | Elevator abnormal sound diagnostic system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014253363A JP2016113260A (en) | 2014-12-15 | 2014-12-15 | Elevator abnormal sound diagnostic system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JP2016113260A true JP2016113260A (en) | 2016-06-23 |
Family
ID=56140870
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2014253363A Pending JP2016113260A (en) | 2014-12-15 | 2014-12-15 | Elevator abnormal sound diagnostic system |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2016113260A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106379780A (en) * | 2016-08-31 | 2017-02-08 | 刘哲 | Intelligent elevator running safety system based on internet of things |
| CN106429689A (en) * | 2016-12-22 | 2017-02-22 | 深圳大图科创技术开发有限公司 | Elevator maintenance system based on Internet-of-things big data support |
| JP2018048886A (en) * | 2016-09-21 | 2018-03-29 | 富士ゼロックス株式会社 | Diagnostic device, diagnostic system, and program |
-
2014
- 2014-12-15 JP JP2014253363A patent/JP2016113260A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106379780A (en) * | 2016-08-31 | 2017-02-08 | 刘哲 | Intelligent elevator running safety system based on internet of things |
| JP2018048886A (en) * | 2016-09-21 | 2018-03-29 | 富士ゼロックス株式会社 | Diagnostic device, diagnostic system, and program |
| CN106429689A (en) * | 2016-12-22 | 2017-02-22 | 深圳大图科创技术开发有限公司 | Elevator maintenance system based on Internet-of-things big data support |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103303758B (en) | The abnormal sound diagnostic method of elevator, its device used and there is the elevator of this device | |
| JP5513456B2 (en) | Elevator abnormality diagnosis apparatus and method | |
| EP2268565B1 (en) | Remotely observable analysis for an elevator system | |
| JP6038347B2 (en) | Abnormal sound diagnosis device | |
| JP5783551B2 (en) | Elevator abnormal sound detection device | |
| CN105819295A (en) | Elevator fault diagnosing device and method and controller | |
| JP5199553B2 (en) | Elevator abnormality diagnosis system | |
| JP5197853B2 (en) | Monitoring device | |
| JPH11118592A (en) | Equipment abnormality diagnosis device and plant device mounting the same | |
| JP6429195B2 (en) | Abnormality diagnosis apparatus for passenger conveyor and abnormality diagnosis method for passenger conveyor | |
| KR101167918B1 (en) | Diagnosis Apparatus for Partial Discharge of Highvoltage Facility Using Ultrasonic Sensor | |
| KR20130112306A (en) | System and method for diagnosing sound of power device | |
| JP2016113260A (en) | Elevator abnormal sound diagnostic system | |
| JP5397075B2 (en) | Elevator abnormal sound detection device | |
| US20140058615A1 (en) | Fleet anomaly detection system and method | |
| US20120130607A1 (en) | Method for early detection of damage in a motor vehicle transmission | |
| JP2010266327A (en) | Facility diagnosis device and facility diagnosis method | |
| JP2012184115A (en) | Fault diagnosis system of elevator | |
| CN113516023B (en) | Method and system for diagnosing equipment vibration abnormality | |
| JPH0943105A (en) | Method for diagnosing bearing section of rotary equipment, method for estimating remaining service life of it, and system for diagnosing it | |
| KR20160074022A (en) | Partial discharge diagnostic system using emf sensor and acoustic sensor | |
| KR20090011448A (en) | Abnormal state sensing system of cable | |
| JP5351219B2 (en) | VEHICLE STATE DIAGNOSIS DEVICE, DIAGNOSIS METHOD, AND PROGRAM USING RAILWAY VEHICLE | |
| JP2017058286A (en) | Method for specifying fault part of semiconductor power converter, device and program for specifying fault part, and semiconductor power converter including fault part specification function | |
| WO2015178820A1 (en) | A method and device for determining properties of a bearing |