Elevator abnormality diagnosis device and elevator abnormality diagnosis method

Abstract

To provide an elevator anomaly diagnostic device that is able to identify which component is anomalous even if there are components of the same type.SOLUTION: An elevator anomaly diagnostic device that diagnoses an anomaly in a component of an elevator, includes: a first measurement unit that measures sound or vibration; a type determination unit that determines a type of an anomalous component, based on a measurement result of the first measurement unit; a second measurement unit that measures respective temperatures of a plurality of components corresponding to the determined type; an individual determination unit that determines an individual of the anomalous component, based on a measurement result of the second measurement unit; and an output unit that outputs the anomalous component determined by the type determination unit and the individual determination unit.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to abnormality diagnosis for elevators. [Background technology]

[0002] As a technology for diagnosing abnormalities due to aging of equipment used in elevators and other lifts, there is known a technology that measures and analyzes the sound generated by the elevator to identify the equipment that is abnormal. In this technology, generally, a correspondence (table) between the characteristics of the sound during an abnormality and the equipment that generates the sound is determined in advance, and the characteristics of the sound extracted during diagnosis are compared with the table. For example, Patent Document 1 discloses a method in which a device equipped with a photographing unit and a sound collecting unit is placed in the car to grasp the location where the sound is generated in the elevator shaft. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2021 / 156962 Summary of the Invention [Problem to be solved by the invention]

[0004] In an elevator, there may be a plurality of parts of the same type, such as pulleys and guide rails. In such a case, even if the type of the part that is the target of the abnormality can be determined with the conventional technology such as the above-mentioned Patent Document 1, it is difficult to determine which individual part is specifically abnormal. Therefore, with the conventional technology, it is necessary to access all parts of the type that are determined to be abnormal and identify which part is truly abnormal, which increases the work time. Furthermore, if the abnormal part cannot be identified even after accessing it, there is a possibility that the cost will increase, such as repairing or replacing all parts.

[0005] An object of the present invention is to provide an elevator abnormality diagnosis device and an elevator abnormality diagnosis method that can identify which part has an abnormality even if there are multiple parts of the same type. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems, the present invention provides an elevator abnormality diagnosis device that diagnoses abnormalities in elevator parts, and includes a first measurement unit that measures sound or vibration, a type determination unit that determines the type of abnormal part based on the measurement results of the first measurement unit, a second measurement unit that measures the temperatures of multiple parts corresponding to the determined type, an individual determination unit that determines individual abnormal parts based on the measurement results of the second measurement unit, and an output unit that outputs the abnormal parts determined by the type determination unit and the individual determination unit.

[0007] The present invention also provides an elevator abnormality diagnosis method for diagnosing abnormalities in elevator parts using an elevator abnormality diagnosis device equipped with a first measurement unit, a type determination unit, a second measurement unit, an individual determination unit, and an output unit, the method comprising the steps of: the first measurement unit measuring sound or vibration; the type determination unit determining the type of abnormal part based on the measured sound or vibration; the second measurement unit measuring temperatures of a plurality of parts corresponding to the determined type; the individual determination unit determining individual abnormal parts based on the measured temperatures; and the output unit outputting the parts determined to be abnormal. Effect of the Invention

[0008] According to the present invention, it is possible to provide an elevator abnormality diagnosis device and an elevator abnormality diagnosis method that can identify which part has an abnormality even if there are multiple parts of the same type. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a schematic diagram showing an installation location of an elevator abnormality diagnosis device according to an embodiment of the present invention. [Diagram 2]FIG. 1 is a functional block diagram showing a hardware configuration of an elevator abnormality diagnosis device according to an embodiment of the present invention. [Diagram 3] FIG. 4 is a diagram showing an example of a data table stored in a part characteristic DB. [Figure 4] 4 is a flowchart showing an elevator abnormality diagnosis method in an embodiment of the present invention. [Diagram 5] 6 is a graph showing an example of temperature data for each pulley (a) and temperature rise data for each pulley (b); DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In this embodiment, an abnormality diagnosis of an elevator will be described as an example of an elevator abnormality diagnosis device that diagnoses abnormalities in elevator components.

[0011] First, Fig. 1 is a schematic diagram showing the installation location of an elevator abnormality diagnosis device according to this embodiment. The elevator to be diagnosed is an elevator without a machine room, and in a hoistway 1, a car 3 and a counterweight 4 are connected by a rope 5 via top pulleys 6a, 6b, car pulleys 8a, 8b, and a counterweight pulley 7. When this rope 5 moves due to the rotation of a motor 2 of a hoisting machine, the counterweight 4 rises and falls along counterweight rails 10a, 10b, and the car 3 rises and falls along car rails 9a, 9b.

[0012] As shown in FIG. 1, the elevator abnormality diagnosis device according to the present embodiment is composed of a lower diagnostic device 11a installed at the bottom of the car 3 and an upper diagnostic device 11b installed at the top of the car 3. For example, in the elevator shown in FIG. 1, since the hoist is at the bottom of the elevator shaft 1, when the motor 2 of the hoist is diagnosed, the periphery of the motor 2 is photographed using the lower diagnostic device 11a when the car 3 is at a predetermined height close to the bottom. Also, although not shown, when diagnosing a buffer disposed at the bottom of the elevator shaft 1, the periphery of the buffer is photographed using the lower diagnostic device 11a. On the other hand, when diagnosing the top pulleys 6a, 6b disposed at the top of the elevator shaft 1, the upper diagnostic device 11b photographs the periphery of the top of the elevator shaft 1. Even in the case of an elevator in which the hoist is at the top of the elevator shaft 1, the motor 2 of the hoist is diagnosed using the upper diagnostic device 11b. However, when diagnosing only the parts present at the top or bottom of the elevator shaft 3, only one diagnostic device may be installed.

[0013] These diagnostic devices are installed in the car 3 by an operator when diagnosing an abnormality in the elevator, and power is supplied to them via the car 3. Note that, if these diagnostic devices have a battery, they may be installed in a location other than the car 3, for example, in the counterweight 4.

[0014] 2 is a functional block diagram showing the hardware configuration of the elevator abnormality diagnosis device according to the present embodiment. Here, the configuration of the lower diagnostic device 11a will be described as an example, but the upper diagnostic device 11b can also have a similar configuration.

[0015] As shown in Figure 2, the elevator abnormality diagnosis device of this embodiment includes a first measurement unit 12, a second measurement unit 13, a CPU 14 (Central Processing Unit), a memory 15, a communication unit 16, an output unit 22, and a storage 17.

[0016] The first measuring unit 12 measures the sound or vibration inside the hoistway 1 when the car 3 reciprocates up and down in order to diagnose any abnormalities in the elevator, and may be a microphone or a vibration sensor such as an acceleration sensor, but a microphone will be used as an example in the following description. The second measuring unit 13 similarly takes images of the inside of the hoistway 1 and measures the temperature when the car 3 reciprocates up and down, and will be used as an example in the following description.

[0017] The CPU 14 executes each function by reading each program stored in the memory 15. In FIG. 2, each function executed by the CPU 14 is conceptually shown as a type determination unit 18 and an individual determination unit 19. The type determination unit 18 determines the type of the abnormal part based on the measurement result of the microphone, and the individual determination unit 19 determines the individual of the abnormal part based on the measurement result of the thermo camera. A specific determination method in the type determination unit 18 and the individual determination unit 19 will be described later. The program may be provided by being incorporated in a ROM or the like in advance, or may be provided or distributed by being recorded in a computer-readable recording medium such as a CD-ROM in the form of an installable or executable file. Furthermore, the program may be stored on a computer connected to a network such as the Internet, and provided or distributed by being downloaded via the network.

[0018] The communication unit 16 is an interface for communicating with a computer other than the elevator abnormality diagnosis device, for example, a terminal device carried by an operator when diagnosing an elevator abnormality. The output unit 22 outputs abnormal parts determined by the type determination unit 18 and the individual determination unit 19. The storage 17 is composed of a non-volatile memory, and has a database (parts characteristic DB 20) that stores part characteristic data, and a database (image recognition DB 21) that stores image recognition data.

[0019] Fig. 3 is a diagram showing an example of a data table stored in the part characteristics DB 20. As shown in Fig. 3, the part characteristics DB 20 stores, for each type of part, for example, the number of parts (number of parts), a pattern (sound pattern) of a waveform (frequency spectrum) of a sound generated in an abnormal state, a temperature judgment value (temperature judgment value) for judging an abnormality, and the like.

[0020] For example, sound pattern (1) is a pattern in which continuous sound signals exist in the low frequency range, and when this sound pattern occurs, it is possible that the pulley bearings are broken. For example, sound pattern (5) is a pattern in which a single sound signal exists in the mid frequency range, and when this sound pattern occurs, it is possible that the guide rail has run out of oil.

[0021] The temperature judgment value also differs for each type of part, with guide rails and brakes having lower values ​​than pulleys and motors. This temperature judgment value may be determined for each season and outside air temperature. The number of reciprocations is the number of reciprocations of the car 3 required to diagnose temperature abnormalities of the part of that type, and will be described in detail later. Furthermore, the part characteristics DB 20 may include position information of each individual part within the elevator shaft 1 and shape information of each individual part.

[0022] On the other hand, the image recognition DB 21 stores a learning model for inputting, for example, shooting conditions such as the position and angle of shooting by a thermo camera and captured image information, and outputting individual parts included in the image information. Note that the learning model is created in advance by taking images from various positions and angles and learning the features of each part included in the captured images.

[0023] In addition, when the desired photographing conditions for photographing individual parts are known, that is, when photographing at a predetermined position or angle increases the accuracy of individual part determination, the photographing conditions may be included in the part characteristics DB 20. For example, when photographing the motor 2 of a hoisting machine, the photographing conditions such as which diagnostic device should be used for the upper or lower part when the car 3 is in a certain position may be included in the part DB. In addition, the part characteristics DB may include only the position information of the parts in the elevator 1 instead of the photographing conditions. In either case, the thermo camera can identify the position and angle at which the judgment accuracy of each part is high by referring to the part characteristics DB 20, and can photograph the image at that position and angle. Note that information such as the position information of the parts and the photographing conditions may be stored in a DB other than the part characteristics DB.

[0024] The elevator abnormality diagnosis method according to this embodiment will be described below. Fig. 4 is a flowchart showing the elevator abnormality diagnosis method according to this embodiment.

[0025] First, an operator installs the elevator abnormality diagnosis device in the car 3 and performs settings such as inputting information for identifying the elevator to be diagnosed into the elevator abnormality diagnosis device via a terminal device or the like (step S101). This setting identifies a data table of part characteristics and an image recognition model corresponding to the elevator to be diagnosed. In this embodiment, an example is described in which the part characteristics DB 20 and image recognition DB 21 are located in the storage 17 of the elevator abnormality diagnosis device, but these DBs may be located in a server connected to the communication unit 16 via a network.

[0026] When the setting is completed, the car 3 moves up and down in the elevator shaft 1, and the microphone measures the sound generated at this time (step S102). The type determination unit 18 refers to the part characteristics DB 20 and determines whether the waveform of the sound measured by the microphone corresponds to a sound pattern (frequency spectrum feature) during an abnormality (step S103).

[0027] Here, the determination in the type determination unit 18 includes the following processes. First, the type determination unit 18 extracts an abnormal waveform (frequency spectrum) from the measurement data of the sound by the microphone. Next, the type determination unit 18 compares the extracted frequency spectrum with the frequency spectrum, which is a sound pattern defined in the part characteristics DB 20, and if there is a part (type) that satisfies a predetermined similarity condition, it determines that the part (type) is abnormal. Note that the frequency spectrum of the sound in an abnormal state may differ depending on the state of the part, even for the same type of part. For example, even for the same pulley, there is a tendency for low frequency components to be generated more when the wear is advanced. For this reason, as shown in FIG. 3, multiple sound patterns are defined in the part characteristics DB 20 even for the same type of part.

[0028] In step S103, if there is no corresponding item, a diagnosis result indicating normality is output as necessary (step S104), and the worker confirms that it is normal (step S107). On the other hand, if there is a corresponding item, the type determination unit 18 determines whether or not there are multiple parts of the type determined to be possibly abnormal in the hoistway 1 based on the part characteristics DB 20 (step S105). This is because, if there are multiple parts of the same type that generate sounds with similar frequency components in the event of an abnormality, it is not possible to identify which part (individual) is abnormal based on the sound alone.

[0029] In step S105, if there is only one possibly abnormal part (individual) with reference to the part characteristics DB 20, the type determination unit 18 outputs the type of the target part to a terminal device or the like carried by the worker (step S106). After checking the output result, the worker performs work such as repairing or replacing the target individual as necessary (step S107).

[0030] On the other hand, if there are multiple parts (individuals) that may be abnormal, a diagnosis is made using a thermal camera to identify which part (individual) is abnormal. The following describes the case where the sound waveform corresponds to pattern (1) in Figure 3 and it is determined that there is a possibility of an abnormality in the pulley.

[0031] In this case, the car 3 again moves up and down, and the image and temperature at this time are measured by the thermo camera (step S108). The image and temperature measurement by the thermo camera may be performed simultaneously with the measurement of the sound by the microphone during the first round trip of the car 3. If the thermo camera is a 360° camera, it may capture the entire area inside the elevator shaft 1, or if the thermo camera is a directional camera, it may capture the entire area inside the elevator shaft 1 by moving the car 3 back and forth multiple times as necessary while changing the angle of view. However, if the type of part that may be abnormal is specified by the type determination unit 18, the thermo camera may capture images only with an angle of view that includes the specified type of part (here, the pulley) in the capture range, instead of capturing the entire area inside the elevator shaft 1.

[0032] When the measurement by the thermo camera is completed, the individual determination unit 19 uses the captured image, the capture conditions, and the learning model stored in the image recognition DB to identify the area of ​​the part (individual) included in the captured image, and outputs the temperature corresponding to the identified area (step S109). Furthermore, the individual determination unit determines whether or not there is any individual whose temperature exceeds the temperature determination value in the part characteristic DB (step S110). If there is no individual whose temperature exceeds the temperature determination value, the output unit 22 outputs the part (type) that is determined by the type determination unit 18 to be possibly abnormal (step S106), and the worker who has confirmed the output result accesses all the individual parts of the part as necessary (step S107). On the other hand, if there is an individual whose temperature exceeds the temperature determination value, the individual determination unit 19 outputs information identifying the type and individual of the target part to a terminal device or the like carried by the worker via the output unit 22 and the communication unit 16 (step S111). The worker who has confirmed the output result performs work such as repairing or replacing the target individual as necessary (step S107). Examples of information output to the screen of a terminal device or the like include "Type of target part: pulley", "Target part: right top pulley", "Part condition: bearing failure", "Action: part replacement", etc. The part condition and action can be determined by the sound pattern shown in Figure 3.

[0033] However, depending on the type of part, the temperature may not rise immediately even if there is an abnormality. For example, if there is an abnormality in the guide rail, the temperature rises immediately due to the reciprocation of the car 3, whereas if there is an abnormality in the pulley, it takes time for heat to appear on the surface. Therefore, for parts that take time to rise in temperature, such as pulleys, the individual determination unit 19 preferably calculates the temperature difference between the temperature of the part (individual) measured initially and the temperature of the part (individual) measured after the car 3 has reciprocated a predetermined number of times or moved for a predetermined time, and compares this with the temperature determination value related to the temperature difference in the part characteristics DB 20. Comparing the temperature difference in this way is also effective when the temperature of the parts is easily affected by the elevator installation environment, such as the outside temperature.

[0034] Fig. 5 is a graph showing temperature data (a) of each pulley and temperature rise data (b) of each pulley. The temperature data (a) is the temperature of each pulley measured initially, and the temperature rise data (b) is the temperature difference between the temperature measured initially and the temperature measured after the car 3 has made a predetermined number of reciprocations since the initial measurement. The number of pulley parts (individuals) is four, as shown in the part characteristic DB20 of Fig. 3, specifically car pulleys 8a, 8b and top pulleys 6a, 6b.

[0035] As shown in Figure 5, when comparing the measurement data (a), it is difficult to find any significant characteristics in the temperature of each pulley, but when comparing the temperature rise data (b), it is clear that the temperature rise of the top pulley 6b is significantly higher. This makes it possible to determine that the part that was generating the abnormal noise was most likely the top pulley 6b, out of the multiple pulleys.

[0036] In addition, the number of reciprocating movements is also predefined for each type of part in the part characteristics DB20, as shown in Fig. 3. The number of reciprocating movements indicates the number of reciprocating movements of the car 3 required to diagnose the temperature abnormality of the part of that type, and for example, a greater number of reciprocating movements is defined for the pulley than for the guide rail (in Fig. 3, three reciprocating movements for the pulley and one reciprocating movement for the guide rail). Instead of the number of reciprocating movements of the car 3, the travel time of the car 3 may be defined.

[0037] Furthermore, the individual judgment unit 19 in this embodiment judges which parts (individuals) have an abnormality by comparing the measured temperature or temperature difference with the temperature judgment value, but it may also judge the individual with the highest temperature or the individual with the largest temperature difference to be abnormal by relative comparison.

[0038] According to the present embodiment described above, even if there are a plurality of parts of the same type, it is possible to identify which part has an abnormality, thereby making it possible to reduce work time and the need for excessive repairs or replacements of parts.

[0039] The present invention is not limited to the above-mentioned embodiment, and various modifications are possible. For example, in the above-mentioned embodiment, the lower diagnostic device 11a and the upper diagnostic device 11b are both provided with the first measurement unit 12 and the second measurement unit 13, but the first measurement unit 12 may be provided in only one of the lower diagnostic device 11a or the upper diagnostic device 11b. Also, the type determination unit 18 and the individual determination unit 19 may be provided in only one of the lower diagnostic device 11a or the upper diagnostic device 11b, or may be provided in a server or the like connected to each diagnostic device via the communication unit 16. [Explanation of symbols]

[0040] Reference Signs List 1...hoistway, 2...motor, 3...car, 4...counterweight, 5...rope, 6...top pulley, 7...counterweight pulley, 8...car pulley, 9...car rail, 10...counterweight rail, 11a...lower diagnostic device, 11b...upper diagnostic device

Claims

1. An elevator abnormality diagnosis device for diagnosing abnormalities in elevator components, A first measurement unit that measures sound or vibration; a type determination unit that determines a type of the abnormal part based on the measurement result of the first measurement unit; A second measurement unit that measures temperatures of a plurality of components corresponding to the determined type; an individual determination unit for determining whether an individual part is abnormal based on the measurement result of the second measurement unit; an output unit that outputs the abnormal part determined by the type determination unit and the individual determination unit; An elevator abnormality diagnosis device comprising:

2. In the elevator abnormality diagnosis device according to claim 1, The second measurement unit is a thermal camera that captures an image including the abnormal part determined by the type determination unit and measures the temperature of the abnormal part in an elevator abnormality diagnosis device.

3. In the elevator abnormality diagnosis device according to claim 1, The temperature determination value storing unit further includes a component characteristic database storing a different temperature determination value for each type of component; The individual determination unit determines, as an abnormal part, a part for which the measurement result of the second measurement unit exceeds the temperature determination value.

4. In the elevator abnormality diagnosis device according to claim 3, The second measurement unit measures the temperature of the part after the elevator car moves up and down, The individual determination unit is an elevator abnormality diagnosis device that determines as an abnormal part any part for which the temperature difference between the temperature of the part measured before the elevator car moves up and down and the temperature of the part measured after the elevator car has moved up and down a predetermined number of times or after operating for a predetermined period of time exceeds the temperature determination value.

5. In the elevator abnormality diagnosis device according to claim 4, An elevator abnormality diagnosis device in which the predetermined number of times or the predetermined time period is determined for each type of part.

6. An elevator abnormality diagnosis method for diagnosing an abnormality of an elevator component using an elevator abnormality diagnosis device including a first measurement unit, a type determination unit, a second measurement unit, an individual determination unit, and an output unit, comprising: A step in which the first measurement unit measures sound or vibration; a step of the type determination unit determining a type of the abnormal part based on the measured sound or vibration; a step of the second measurement unit measuring temperatures of a plurality of components corresponding to the determined type; a step of the individual determination unit determining whether an individual part is abnormal based on the measured temperature; a step of outputting a part determined to be abnormal by the output unit; An elevator abnormality diagnosis method comprising:

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