JP2016113260A - Elevator abnormal sound diagnostic system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an elevator abnormal sound diagnostic system that classifies waveforms of sounds collected by a microphone to extract an abnormal waveform.SOLUTION: An elevator abnormal sound diagnostic system includes: a frequency analysis part 13 for analyzing frequencies of waveforms acquired from a microphone 1; a period analysis part 14 for analyzing periods of the frequencies classified in the frequency analysis part 13; a waveform extraction part 16 for extracting sequential waveforms, periodic waveforms and a single waveform based on analyses of the frequency analysis part 13 and the period analysis part 14; an operation waveform detection part 21 for comparing waveforms according to elevator operation states stored in a measured waveform storage part 19 with the waveform extracted in the waveform extraction part 16 thereby to determine a waveform not stored in the measured waveform storage part 19 to be an abnormal waveform; and an abnormal waveform detection part 23 for determining being abnormal if the abnormal waveform stored in the operation waveform detection part 21 is among a plurality of abnormal waveforms stored in a comparison waveform storage part 24.SELECTED DRAWING: Figure 1

Description

  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.

  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).

JP 2012-166935 A

  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.

  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.

  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.

  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.

  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.

It is a block diagram which shows the principal part structure of one Embodiment of this invention. It is a figure which shows the waveform which the microphone shown in FIG. 1 collected. It is a figure which shows the frequency analysis result of the collected waveform shown in FIG. It is a figure which shows the period analysis result of the frequency analysis part shown in FIG. It is a figure which shows the frequency analysis result of the period analysis part shown in FIG. It is a figure which shows the result which the waveform extraction part shown in FIG. 1 discriminate | determined and extracted.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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).

  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).

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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 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)

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: