JPH1192049A - Elevator abnormality diagnosis device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily specify a part to be inspected when noise or ride feeling is not acceptable. SOLUTION: A device is provided with a frequency analysis part 6 to frequency-analyze a detection output of a noise gauge 4 to detect action sound, and a detection output of an acceleration sensor 5 to detect an acceleration degree, an abnormality diagnosis part 8 to diagnoze abnormality in an elevator based on result of analysis by the frequency analysis part 6, and a communication part 9 to transmit result of diagnosis by the abnormality diagnosis part 8.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator abnormality diagnosis apparatus, and more particularly, to an elevator abnormality diagnosis apparatus that detects an abnormality sign generated in each part of an elevator at an early stage.

[0002]

2. Description of the Related Art Generally, a car of an elevator may generate discomfort or anxiety to a passenger if the car generates noise when the car is operated or the riding comfort is poor.
It is necessary to keep the noise and ride quality in good condition.
The noise and ride comfort are controlled by the car and door opening / closing control technology, the electric motor that operates the car and door, the electrical characteristics of each component that controls the car and door opening, and the installation accuracy and fixing of the rail that guides the car and door. These are recognized as particularly considerations as they largely depend on the state and mechanical properties.

Conventionally, the noise and the riding comfort have been determined by installing a sound level meter or an acceleration sensor at the time of completion of the elevator installation and at the time of periodic inspection, and observing the output waveform by a specialized engineer. However, this determination method has a problem that the accuracy of the determination result is inferior because a slight difference often occurs in the determination result due to the experience and ability of a specialized engineer. In addition, since it is necessary to attach a sensor and bring a measuring device into a car or the like, the burden on maintenance personnel is large.

The elevator abnormality diagnosis apparatus described in Japanese Patent Laid-Open Publication No. Hei 5-306079 has an acceleration sensor mounted in a car, and outputs an output signal from the acceleration sensor and acceleration state instruction information from an elevator operation control device. There has been proposed an apparatus that displays and outputs an abnormal part of an elevator and the contents of an inspection instruction based on the car travel position instruction information. Further, according to Japanese Patent Application Laid-Open No. 7-153475, an acceleration sensor is mounted in a car, and an output signal from the acceleration sensor is subjected to frequency analysis.
Based on the analysis result and the elevator operation control information from the elevator operation control device, a device that specifies an abnormal part, determines the degree of abnormality, and outputs the result is proposed.

[0005]

However, the conventional elevator abnormality diagnosis apparatus can identify an abnormal part of the elevator and display and output the contents of the inspection instruction when abnormal vibration of the car occurs, It was not possible to identify the abnormal position as to which position was abnormal. Furthermore, when vibrations occur in the car, the multiple main ropes that connect the car and the counterweight and the mechanical parts that make up the car vibrate at the resonance frequency, which may cause a difference in the abnormal location of the elevator. It was difficult to grasp the characteristics of the car vibration, and it was difficult to identify abnormal parts. In addition, when frequency analysis of car acceleration is performed, since there is a DC component at the time of acceleration or deceleration in elevator traveling, the frequency analysis result at the time of acceleration or deceleration shows that the low frequency component of 1 Hz or less is affected by the DC component. Accurate amplitude calculations could not be performed. Further, the abnormality diagnosis of the elevator due to the noise is easily affected by the outside, and it is not possible to determine whether the noise is due to the abnormality of the elevator or the noise due to the disturbance unrelated to the elevator.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an elevator abnormality diagnosis apparatus capable of easily specifying a part to be inspected when noise and riding comfort are poor.

[0007]

SUMMARY OF THE INVENTION In order to achieve the above object, the present invention provides an elevator abnormality diagnosis apparatus which includes a sound level meter and an acceleration sensor to specify an abnormal part. A frequency analysis unit for frequency-analyzing the detection output of the meter and the detection output of the acceleration sensor, and an abnormality diagnosis unit for diagnosing the abnormality of the elevator based on the analysis result of the frequency analysis unit and identifying an abnormal part, A communication unit that outputs a diagnosis result of the abnormality diagnosis unit.

As described above, the abnormality diagnosis apparatus for an elevator according to the present invention measures and analyzes the noise and vibration of the car at the same time and makes a diagnosis. The position where the noise or vibration of the car has occurred can be specified by the abnormality diagnosis unit based on the car travel distance or the like calculated based on the output.

[0009]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing an elevator abnormality diagnosis apparatus according to one embodiment of the present invention. A car 1 and a counterweight 3 are connected by a plurality of main ropes 2, and a noise meter 4 for detecting car noise and an acceleration sensor 5 for detecting car vibration are attached to the car 1. . The sound level meter 4 is connected to a frequency analyzer 6 for analyzing the frequency of the detection output, and the acceleration sensor 5 is connected to a frequency analyzer 6 for analyzing the frequency of the detection output.
And a car traveling distance calculation unit 7 for calculating the traveling distance of the car 1. The frequency analyzing unit 6 and the car traveling distance calculating unit 7 are connected to an abnormality diagnosing unit 8 for diagnosing car noise and vibration abnormalities, and the diagnosis result of the abnormal diagnosing unit 8 is sent to the monitoring center 10 via the communication unit 9. It is supposed to fire.

FIG. 2 is a flowchart showing the operation of the elevator abnormality diagnosis apparatus shown in FIG. When the diagnosis is started, the elevator car 1 starts running in step S1.

At this time, the car 1 accelerates for a predetermined time from the start, as shown by the speed characteristic e in FIG. 3, the speed reaches a constant value, and after traveling at the constant speed to near the landing floor, Start deceleration and stop at the landing floor. During this traveling, the noise of the elevator car 1 is detected in step S2, the acceleration of the elevator car 1 is detected in step S3, and the car 1 detected by the sound level meter 4 in step S2 as shown in FIG. A running sound characteristic a, a vertical acceleration characteristic b of the car 1 detected by the acceleration sensor 5 in step S3, a longitudinal acceleration characteristic c, and a lateral acceleration characteristic d are obtained.

If any part of the elevator becomes abnormal and noise or vibration occurs in the car 1 at times T1 to T2, the noise and acceleration detected by the sound level meter 4 and the acceleration sensor 5 are: In step S4, frequency analysis is performed, and noise and vibration amplitude are detected. In step S5, the traveling distance of the car is calculated based on the vertical acceleration characteristic b of the car 1, and the traveling distance characteristic f is obtained. The result of the frequency analysis in step S4 is compared with a judgment value set in advance in step S6. If the result is equal to or less than the judgment value, it is determined that there is no abnormality in the car noise or vibration, and the diagnosis is terminated. In the above case, it is determined to be abnormal, and the process proceeds to step S10. This step S
In step 10, based on the analysis result of step S4, the noise characteristic a
And the frequency components included in the acceleration characteristics b to d are grasped, and based on the frequency characteristics, the abnormal part which causes abnormal noise and vibration of the car is specified, and based on the analysis result of step S5. Identify an abnormal position in the elevator tower.

If it is determined in step S6 that only the noise is equal to or larger than the predetermined determination value, it is determined that the diagnosis is the first diagnosis in step S7 because it is not an abnormality of the elevator but an external influence. If this is the case, the position and frequency characteristic where the noise has become abnormal in step S8 are stored, and the diagnosis is performed again. If there is no abnormality in the noise in the second diagnosis, it is determined that the abnormality in the first diagnosis is not due to the abnormality of the elevator but to noise due to disturbance, and the elevator is determined to have no abnormality. However, if only the noise is abnormal in the second diagnosis, the characteristics stored in the first diagnosis are compared in step S9. If the characteristics are the same, it is determined that the elevator is abnormal. Perform characteristics. However, if the characteristics are different in the comparison in step S9, it is determined that the characteristic may be the influence of disturbance, and the diagnosis is restarted from the beginning.

As described above, since noise and vibration of the car 1 are simultaneously measured, analyzed, and diagnosed, abnormal characteristics can be easily grasped, and characteristics of the abnormal portion can be more accurately performed.
Also, at least when the vibration becomes abnormal, it is determined that the elevator is abnormal. However, when only the noise becomes abnormal, it is determined that there may be an influence of disturbance. Since this is compared with, it is possible to determine whether the noise is due to an abnormality in the elevator or noise due to disturbance.

FIG. 4 is a block diagram showing an elevator abnormality diagnosis apparatus according to another embodiment of the present invention. A sound level meter 4 is mounted around the door 1a of the car 1 to detect noise when the door is opened and closed, and an acceleration sensor 5 is mounted around the door 1a to detect vibration when the door is opened and closed. . The sound level meter 4 is connected to the frequency analysis unit 6, the acceleration sensor 5 is connected to the frequency analysis unit 6 and the door operating distance calculation unit 7, and the frequency analysis unit 6 and the door operation distance calculation unit 7 are connected to the abnormality diagnosis unit 8 and the communication unit. It is connected to a monitoring center 10 and the like via a unit 9.

FIG. 5 is a flowchart showing the operation of the elevator abnormality diagnosis apparatus shown in FIG. At the start of diagnosis, the door 1a is assumed to be closed, and a door opening / closing command is issued in step S11 to open / close the door. At this time, noise and acceleration at the time of opening and closing the door 1a are detected in steps S12 and S13. FIG. 6 shows the noise characteristic a at that time.
And acceleration characteristics b at the time of opening and closing the door. Here, it is assumed that any part constituting the door becomes abnormal and a door stop occurs when the door is closed, causing noise or vibration. At this time, the characteristics detected by the sound level meter 4 and the acceleration sensor 5 are subjected to frequency analysis in step S14, and noise and vibration amplitude are detected. In step S15, the opening / closing operation distance of the door 1a is calculated, and a door opening / closing operation distance characteristic d as shown in FIG. 6 is obtained. The result of the frequency analysis in step S14 is compared with a determination value set in advance in step S16. If the result is equal to or less than the determination value, the noise and vibration of the door opening / closing degree are determined to be normal, and the diagnosis is terminated. However, if at least the vibration is equal to or greater than the determination value in step S16, it is determined that the noise or vibration at the time of opening and closing the door is abnormal, and in step S20, the noise characteristic a and the acceleration characteristic are determined based on the analysis result in step S14. The frequency component contained in b is grasped, and an abnormal part which causes abnormal noise or vibration when the door is opened / closed is characterized based on the frequency characteristic and the opening / closing operation distance d of the door 1a.

In step S16, if only the noise exceeds a predetermined threshold value in advance, the door may not be abnormal but may be an external influence.
If it is determined that this is the second diagnosis, the position and frequency characteristics at which noise has become abnormal in step 18 are stored, and the diagnosis is performed again. If there is no abnormality in the noise at the second diagnosis,
The noise abnormality in the first diagnosis is determined not to be due to the abnormality of the elevator but to the noise due to the disturbance, and the elevator is determined to have no abnormality. However, if only the noise is abnormal in the second diagnosis, the characteristics stored in the first diagnosis are compared in step S19. If the characteristics are the same, it is determined that the door is open or closed, and in step S20, the abnormal portion is determined. Perform characteristics. However, if the characteristics are different in the comparison in step S19, it is determined that the characteristic may be the influence of disturbance, and the diagnosis is restarted from the beginning.

As described above, since the noise and vibration at the time of opening and closing the door are simultaneously measured, analyzed, and diagnosed, the characteristics of the abnormality can be easily grasped, and the characteristics of the abnormal portion can be more accurately performed. If at least the vibration is abnormal, it is determined that the door is opened and closed. If only the noise is abnormal, it is determined that the noise may be due to disturbance.
Since the characteristic is compared with the characteristic in the second diagnosis, it is possible to determine whether the noise is due to an abnormal door opening / closing or noise due to disturbance.

FIG. 7 is a block diagram showing an elevator abnormality diagnosis apparatus according to still another embodiment of the present invention. The sound level meter 4 is attached to the machine room to detect noise in the machine room, the acceleration sensor 5 is attached to the car 1 to detect the acceleration of the car, and the sound level meter 4 is connected to the frequency analyzer 6 to The sensor 5 is connected to the frequency analysis unit 6 and the distance calculation unit 7, respectively. The frequency analysis unit 6 and the distance calculation unit 7 are connected to the monitoring center 10 and the like via the abnormality diagnosis unit 8 and the communication unit 9.

FIG. 8 is a flowchart for explaining the operation of the above-described elevator abnormality diagnosis apparatus. When the diagnosis is started, the car 1 starts running in step S21. The car speed characteristic e at this time is such that the speed reaches a constant value after accelerating for a predetermined time from the start as shown in FIG.
After traveling to the vicinity of the landing floor at this constant speed, deceleration is started and the vehicle stops at the landing floor. During this traveling, step S2
2, the noise of the elevator car 1 is detected, and step S
When the acceleration of the car 1 is detected at 23, the noise characteristics a of the machine room in FIG.
The longitudinal acceleration characteristic c and the lateral acceleration characteristic d are as follows.

Now, it is assumed that one of the plurality of main ropes 2 is damaged, noise is generated in the machine room, and vibration is generated in the car 1. The characteristics detected by the sound level meter 4 and the acceleration sensor 5 are subjected to frequency analysis in step S24, and the noise and vibration amplitude thereof are detected. In step S25, the car traveling distance characteristic f is calculated. The result of the frequency analysis in step S24 is as follows:
In step 6, the magnitude of the noise is compared with a predetermined determination value. If the noise level is equal to or less than the determination value, it is determined that there is no abnormality in the machine room noise, and the diagnosis is terminated.

However, if the value is equal to or larger than the determination value, it may be due to an external influence rather than an abnormality of the elevator. Therefore, if it is determined in step S27 that the first diagnosis is made, the noise becomes abnormal in step S28. The position and frequency characteristics are stored, and the diagnosis is performed again. If there is no abnormality in the noise in the second diagnosis, it is determined that the noise in the first diagnosis is not caused by the abnormality of the elevator but is caused by disturbance, and the noise in the elevator machine room is determined to be normal. However, if only the noise is abnormal in the second diagnosis, the characteristic stored in the first diagnosis is compared in step S29. If the characteristic is the same, it is determined that the machine room noise is abnormal. Perform characteristics. However, if the characteristics are different in the comparison in step S29, it is determined that the characteristic may be the influence of disturbance, and the diagnosis is restarted from the beginning.

As described above, when the noise becomes abnormal,
Since the diagnosis may be caused by disturbance, the diagnosis is performed again and compared with the characteristics of the first diagnosis, so that it is possible to determine whether the noise is caused by an abnormality in the elevator or the noise. In the embodiment of the abnormality diagnosis of the machine room noise, the acceleration sensor 5 is attached to the car 1, but instead of the acceleration sensor 5, the rotational speed of the electric motor attached to control the electric motor that makes noise in the elevator is measured. The distance may be calculated using a speed detector that performs the calculation.

FIG. 10 is a block diagram showing an elevator abnormality diagnosis apparatus according to another embodiment of the present invention. Here, the sound level meter 4 is attached to the car 1 to detect car noise, and the acceleration sensor 5 is attached to the car 1 to detect car vibration. 6, the acceleration sensor 5 is connected to a frequency analysis unit 6, a jerk calculation unit 12 for differentiating the detection output thereof, and a car travel distance calculation unit 7. The frequency analysis unit 6 and the car travel distance calculation unit 7 are connected to the monitoring center 10 and the like via the abnormality diagnosis unit 8 and the communication unit 9.

FIG. 11 is a flowchart showing the operation of the above-described elevator abnormality diagnosis apparatus. When the diagnosis is started, the car 1 starts running in step S31.
The car speed characteristic f at this time is, as shown in FIG. 12, after accelerating for a predetermined time from the start, the speed reaches a constant value, and after the car 1 has traveled to the vicinity of the landing floor at this constant speed, Start deceleration and stop at the landing floor. During this traveling, the noise of the elevator car 1 is detected in step S32, and the acceleration of the elevator car 1 is detected in step S33. At this time, as shown in FIG.
32, and the vertical acceleration characteristic b of the car 1 detected by the acceleration sensor 5.
And the acceleration characteristic c in the front-rear direction and the acceleration characteristic d in the left-right direction are obtained.

Now, if any part of the elevator becomes abnormal and noise or vibration occurs in the car from time T1 to time T2, the noise level meter 4 and the acceleration sensor 5
In step S34, the characteristic detected in step S34 is subjected to frequency analysis. In step S35, the output detected by the acceleration sensor 5 is subjected to jerk calculation in the jerk calculating unit 12, and frequency analysis is performed in step S34 to perform noise analysis. Detect vibration amplitude. In step S36, a car traveling distance characteristic g is calculated based on the vertical acceleration characteristic b of the car 1. The result of the frequency analysis in step S34 is compared with a determination value set in advance in step S37. If the determination value is equal to or less than the determination value, it is determined that there is no abnormality in the car noise and vibration, and the diagnosis is terminated. However, at least when the vibration is equal to or larger than the determination value, it is determined that the vibration is abnormal, and the process proceeds to step S41.
An abnormal position in the elevator tower is specified based on the frequency analysis result of.

If it is determined in step S37 that only the noise is equal to or larger than the predetermined judgment value, the noise may be an external influence rather than an abnormality of the elevator.
If it is determined in step 8 that this is the first diagnosis, step S3
The position and frequency characteristic at which the noise has become abnormal in step 9 are stored, and the diagnosis is performed again. If there is no abnormality in the noise in the second diagnosis, it is determined that the abnormality in the first diagnosis is not due to the abnormality of the elevator but to noise due to disturbance, and the elevator is determined to have no abnormality. However, if only the noise is abnormal in the second diagnosis, the characteristics stored in the first diagnosis are compared in step S40. If the characteristics are the same, it is determined that the elevator is abnormal. Perform identification. However, if the characteristics are different in the comparison in step S40, it is determined that the characteristic may be the influence of disturbance, and the diagnosis is restarted from the beginning.

As described above, since the noise, acceleration, and jerk of the car are simultaneously measured and analyzed for data diagnosis, abnormal characteristics can be easily grasped, and abnormal parts can be specified more accurately. At least when the diagnosis is abnormal, it is determined that the elevator is abnormal. However, when only the noise is abnormal, it is determined that there may be an influence of disturbance. Thus, it is possible to determine whether the noise is caused by an elevator abnormality or a disturbance.

[0029]

As described above, the abnormality diagnosis apparatus for an elevator according to the present invention measures and analyzes the noise and vibration of the car at the same time and diagnoses them. Based on the detection output of the gauge or acceleration sensor, for example, the travel distance of the car can be calculated, and the position where the noise and vibration of the car occurred can be specified. Even a maintenance person who has discovered and has no specialized knowledge can quickly identify an abnormal part causing the problem and take a recovery measure or the like.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating an abnormality diagnosis device for an elevator according to an embodiment of the present invention.

FIG. 2 is a flowchart showing an operation of the elevator abnormality diagnosis device shown in FIG.

FIG. 3 is an operation characteristic diagram of the elevator abnormality diagnostic device shown in FIG. 1;

FIG. 4 is a block diagram showing an elevator abnormality diagnosis apparatus according to another embodiment of the present invention.

FIG. 5 is a flowchart showing the operation of the elevator abnormality diagnosis device shown in FIG.

6 is an operation characteristic diagram of the elevator abnormality diagnosis device shown in FIG.

FIG. 7 is a block diagram showing an elevator abnormality diagnosis apparatus according to still another embodiment of the present invention.

FIG. 8 is a flowchart showing an operation of the elevator abnormality diagnosis device shown in FIG. 7;

FIG. 9 is an operation characteristic diagram of the elevator abnormality diagnosis device shown in FIG. 7;

FIG. 10 is a block diagram showing an elevator abnormality diagnosis apparatus according to still another embodiment of the present invention.

FIG. 11 is a flowchart showing the operation of the elevator abnormality diagnosis device shown in FIG.

12 is an operation characteristic diagram of the elevator abnormality diagnosis device shown in FIG.

[Explanation of symbols]

 Reference Signs List 1 car 1a door 4 sound level meter 5 acceleration sensor 6 frequency analysis unit 7 distance calculation unit 8 abnormality diagnosis unit 9 communication unit 11 jerk speed calculation unit

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Takashi Kaneko 1-6-6 Kandanishikicho, Chiyoda-ku, Tokyo Inside Hitachi Building Systems Co., Ltd.

Claims (9)

[Claims] In an elevator abnormality diagnosis apparatus that includes a sound level meter and an acceleration sensor to specify an abnormal site, a detection output of the sound level meter for detecting an operation sound of the elevator and a detection output of the acceleration sensor are frequency-analyzed. A frequency analysis unit, an abnormality diagnosis unit that diagnoses the abnormality of the elevator based on the analysis result of the frequency analysis unit and specifies an abnormal site, and a communication unit that outputs a diagnosis result of the abnormality diagnosis unit. An abnormality diagnosis device for an elevator. 2. An elevator abnormality diagnosis apparatus according to claim 1, wherein said sound level meter and said acceleration sensor are provided in a car of said elevator. 3. A car mileage calculating unit for calculating a car mileage from a detection output of the acceleration sensor according to claim 1, wherein the abnormality diagnosing unit calculates a car mileage from a result of analysis by the frequency analyzing unit. An abnormality diagnosis apparatus for an elevator, characterized in that the abnormality of the elevator is diagnosed and an abnormal part is specified from the traveling distance by the car traveling distance calculation unit. 4. The apparatus according to claim 1, wherein the abnormality diagnosis unit detects noise and vibration amplitude based on the analysis result of the frequency analysis unit, and compares the frequency analysis result with a predetermined determination value. An abnormality diagnosis apparatus for an elevator, wherein it is determined that an abnormality is present when at least the vibration is equal to or greater than a determination value. 5. The apparatus according to claim 1, wherein the abnormality diagnosis unit detects noise and vibration amplitude based on the analysis result of the frequency analysis unit, and compares the frequency analysis result with a predetermined determination value. If only the noise is equal to or greater than a predetermined determination value, the position and frequency characteristics at which the noise is abnormal are stored, and diagnosis is performed at least twice,
An abnormality diagnosis apparatus for an elevator, characterized in that when only noise is abnormal in the second diagnosis, the characteristic is compared with the characteristic stored in the first diagnosis, and if the characteristic is the same, it is determined that the elevator is abnormal. . 6. An elevator abnormality diagnosis apparatus according to claim 1, wherein said sound level meter and said acceleration sensor are provided near a door of a car of the elevator. 7. A door operating distance calculating section for calculating an operating distance of the door from a detection output of the acceleration sensor, wherein the abnormality diagnosing section includes an analysis result of the frequency analyzing section. An abnormality diagnosis apparatus for an elevator, characterized in that the abnormality of the elevator is diagnosed and an abnormal part is identified from the traveling distance by the car traveling distance calculation unit. 8. An abnormality diagnosis apparatus for an elevator according to claim 1, wherein said sound level meter is arranged in a machine room of said elevator, and said acceleration sensor is provided in a car of said elevator. 9. A car running distance calculating section for calculating a car running distance from a detection output of the acceleration sensor, and a jerk calculating section for differentiating the detection output of the acceleration sensor. Provided, the frequency analysis unit,
The outputs of the sound level meter, the acceleration sensor, and the jerk calculating section are frequency-analyzed, and the abnormality diagnosis section diagnoses the elevator abnormality from the analysis result of the frequency analysis section and calculates the car travel distance. An abnormality diagnosis apparatus for an elevator, characterized in that an abnormal part is specified from a traveling distance by a section.