JP7261325B2 - Monitoring device, abnormality diagnosis device, monitoring method and abnormality diagnosis method - Google Patents

Description

The present disclosure relates to a monitoring device and monitoring method.

2. Description of the Related Art It is known to acquire sound generated from a device with a microphone or the like, and to specify the position and intensity of a sound source based on the acquired acoustic data.

Patent Literature 1 describes acquisition of acoustic data of sound generated from an object to be measured by a microphone array, and generation of an acoustic map showing the relationship between the position and intensity of a sound source from the acoustic data. In addition, Patent Document 1 discloses an imaging device that associates and displays the above-described acoustic map and a reference image (camera image or the like) of the object to be measured.

Japanese Patent No. 4424752

Based on the position and intensity of the sound source specified by the acoustic map described above for the sound generated from the device, it is considered possible to diagnose and monitor the device for abnormalities. On the other hand, when multiple devices are targeted, the sound pressure level data obtained by microphones or the like is a mixture of sounds from multiple devices. becomes complicated. Therefore, it is difficult to efficiently monitor multiple devices using acoustic maps.

In view of the circumstances described above, at least one embodiment of the present invention aims to provide a monitoring apparatus and a monitoring method capable of efficiently monitoring a plurality of devices.

A monitoring device according to at least one embodiment of the present invention comprises:
A monitoring device for monitoring a plurality of devices placed in a monitored area,
a sound collecting unit for collecting sound in the monitoring target area;
an acoustic map generation unit for generating an acoustic map indicating the relationship between the positions of a plurality of sound sources contained in the monitoring target area and the sound pressure level of each sound source, based on the sound collected by the sound collection unit; ,
an abnormality diagnosis unit configured to diagnose an abnormality in at least one diagnosis target device among the plurality of devices;
receiving the acoustic map generated by the acoustic map generation unit and the diagnosis result of the diagnosis target device by the abnormality diagnosis unit, and creating the diagnosis on the acoustic map in association with the position of the diagnosis target device on the acoustic map; a data generation unit for generating surveillance image data in which the results are superimposed;
Prepare.

According to at least one embodiment of the present invention, a monitoring device and monitoring method capable of efficiently monitoring a plurality of devices are provided.

1 is a schematic diagram illustrating an example of a facility including multiple devices to be monitored by a monitoring device according to some embodiments; FIG. 1 is a schematic diagram of a rolling mill that is monitored in some embodiments; FIG. 1 is a schematic configuration diagram of a monitoring device according to an embodiment; FIG. 1 is a schematic configuration diagram of a monitoring device according to an embodiment; FIG. 1 is a schematic configuration diagram of a monitoring device according to an embodiment; FIG. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. It is a figure which shows an example of the monitoring image data which concerns on one Embodiment. 4 is a flow chart showing a procedure of abnormality diagnosis according to one embodiment; 4 is a flow chart showing a procedure of abnormality diagnosis according to one embodiment; 5 is a graph showing an example of temporal changes in motor rotation speed, sound pressure level, and motor torque when sound pressure level data is acquired;

Several embodiments of the present invention will now be described with reference to the accompanying drawings. However, the dimensions, materials, shapes, relative arrangements, etc. of the components described as embodiments or shown in the drawings are not intended to limit the scope of the present invention, and are merely illustrative examples. do not have.

(device to be monitored)
FIG. 1 is a schematic diagram illustrating an example of a facility including multiple devices to be monitored by a monitoring device according to some embodiments. FIG. 2 is a schematic diagram illustrating a rolling mill that is monitored in some embodiments.

As shown in FIG. 1, facility 1 includes a plurality of devices 4 located in monitored area 2 . At least one device 4 among the plurality of devices 4 arranged in the monitoring target area 2 is a monitoring target (diagnosis target device 6) by a monitoring device to be described later. Note that the facility 1 may include other equipment (not shown) arranged outside the monitored area 2 .

The plurality of machines 4 may include rotating machines. The rotating machine may be a motor.

As shown in FIGS. 1 and 2, the plurality of machines 4 may include rolling mills 10 . The rolling mill 10 is a device for rolling the metal strip 9 and includes a motor 12 , gears 14 driven by the motor 12 , spindles 16 and rolling rolls 18 .

The rolling rolls 18 are configured to roll the metal strip 9, and include a pair of work rolls 22A and 22B for sandwiching the metal strip 9 from above and below to apply a load to the metal strip 9, and a pair of work rolls 22A and 22B. A pair of intermediate rolls 24A, 24B and a pair of backup rolls 26A, 26B are provided on opposite sides of the metal strip 9 with the rolls 22A, 22B interposed therebetween. Intermediate rolls 24A, 24B are provided between work rolls 22A, 22B and backup rolls 26A, 26B, respectively.

Gear 14 is connected to motor 12 and spindle 16 is connected to motor 12 via gear 14 . The rolling rolls 18 are also connected to the motor 12 via gears 14 and spindles 16 . That is, the power of the motor 12 is transmitted to the rolling rolls 18 via the gears 14 and spindles 16 .

(monitoring device)
A monitoring device according to some embodiments will now be described. 3 to 5 are schematic configuration diagrams of a monitoring device according to one embodiment. As shown in FIGS. 3 to 5, the monitoring device 30 includes a first sound collector 32 (“sound collector” of the present invention), an acoustic map generator 36, an abnormality diagnosis unit 38, and a data generator 44. and have. The monitoring device 30 shown in FIGS. 3 to 5 includes a storage unit 40 for storing various information, and a display unit 46 ( display, etc.).

The acoustic map generation unit 36, the abnormality diagnosis unit 38, and the data generation unit 44 may be configured by a computer including a processor, memory (RAM), auxiliary storage unit, interface, and the like. The processing contents of the acoustic map generation unit 36, the abnormality diagnosis unit 38, and the data generation unit 44 may be implemented as programs executed by a processor and stored in the auxiliary storage unit. During program execution, these programs are expanded in memory. The processor is adapted to read the program from memory and execute the instructions contained in the program.

The storage unit 40 is a device capable of storing and/or accumulating various data, and is a memory device such as a RAM (Random Access Memory) or a storage device such as a HDD (Hard Disk Drive) or SSD (Solid State Drive). There may be.

The first sound collector 32 is configured to collect sounds in the monitored area 2 , that is, sounds generated by the plurality of devices 4 placed in the monitored area 2 . As shown in FIG. 1 , the first sound collector 32 is provided corresponding to the monitored area 2 . That is, it is not the case that the plurality of first sound collectors 32 are provided so as to correspond to the plurality of devices 4 respectively.

The first sound collector 32 has a configuration that enables the acoustic map generator 36 to generate an acoustic map (described later). The first sound collecting unit 32 may be, for example, a microphone array in which a plurality of microphones are arranged. A microphone array may include one or more beams of linearly spaced microphones, or may include a grid of microphones.

Based on the sound collected by the first sound collector 32, the acoustic map generator 36 generates an acoustic map showing the relationship between the positions of the plurality of sound sources included in the monitoring target area 2 and the sound pressure of each sound source. do. Since the plurality of sound sources in the monitored area 2 are the plurality of devices 4, the sound pressure generated by any one of the plurality of devices 4 can be known by referring to this acoustic map. can. However, since the acoustic map does not consider the position of each device 4 (that is, the position of each sound source and the position of each device 4 are not linked), using the acoustic map, It is usually impossible to specify the corresponding device 4 from among the plurality of devices 4 .
The sound pressure can also be expressed as a sound pressure level using the common logarithm of the ratio to a reference sound pressure (for example, 20 μPa in the atmosphere), and an acoustic map is obtained by comparing the positions of a plurality of sound sources and the sound pressure level of each sound source. It may be created as a representation of the relationship between The following embodiments will be described using the sound pressure level.

The abnormality diagnosis unit 38 is configured to diagnose an abnormality in at least one diagnosis target device 6 among the plurality of devices 4 . When a plurality of diagnostic target devices 6 are to be diagnosed, the abnormality diagnosis section 38 may be provided for each diagnostic target device 6 .

The data generation unit 44 receives the acoustic map generated by the acoustic map generation unit 36 and the diagnosis result of the diagnosis target device 6 by the abnormality diagnosis unit 38, and generates an acoustic map in association with the position of the diagnosis target device 6 on the acoustic map. monitor image data superimposed on the diagnostic results. For example, the data generator 44 associates the position of each sound source included in the acoustic map with the position of the diagnostic target device 6 on the acoustic map based on the linking information that links the position of the diagnostic target device 6, It may be configured to superimpose the diagnostic result of the diagnostic target device 6 on the acoustic map. The linking information described above may be stored in the storage unit 40 in advance, and the data generation unit 44 may be configured to acquire the linking information from the storage unit 40 .

The monitoring image data generated by the data generation unit 44 is sent to a display unit 46 (such as a display) and displayed by the display unit 46 . From the monitoring image data displayed on the display unit 46, the sound states of the plurality of devices 4 arranged in the monitoring target area 2 and the diagnosis result of the diagnosis target device 6 can be known.

Note that the acoustic map and monitoring image data described above may be generated at predetermined time intervals. In addition, the data generator 44 may be configured to receive the acoustic map from the acoustic map generator 36 at predetermined time intervals, or receive the diagnosis target device 6 from the abnormality diagnosis unit 38 at predetermined time intervals. It may be configured to receive results. Also, the monitoring image data displayed on the display unit 46 may be updated at predetermined time intervals. In this way, real-time monitoring of a plurality of devices 4 arranged in the monitoring target area 2 becomes possible.

According to the above-described embodiment, an acoustic map showing the relationship between the positions of a plurality of sound sources and the sound pressure level of each sound source is generated based on the sound collected in the monitoring target area 2, and the diagnostic object on the acoustic map is generated. Monitoring image data is generated by superimposing the acoustic map and the abnormality diagnosis result of the diagnosis target device 6 in association with the position of the device 6 . Therefore, by displaying the monitoring image data generated in this way, it is possible to visually check the status of the sounds from the plurality of devices 4 and the diagnostic results of the diagnosis target device 6, thereby enabling the monitoring of the plurality of devices in the monitoring target area 2. device 4 (diagnostic target device 6) can be efficiently monitored.

Next, generation of the acoustic map and monitoring image data by the acoustic map generator 36 and the data generator 44 will be described more specifically. Here, FIGS. 6 to 11 are diagrams each showing an example of monitoring image data displayed on the display unit of the monitoring device according to one embodiment.

In some embodiments, the data generator 44 acquires device configuration visual data 52, 54, 56 (see FIGS. 6 to 11) that visually indicate the configuration of the plurality of devices 4 in the monitored area 2, The diagnosis result by the abnormality diagnosis unit 38 is superimposed on the equipment configuration acoustic map obtained by superimposing the acoustic map information 60 (see FIGS. 6 to 11) corresponding to the positions of the plurality of devices 4 on the equipment configuration visual data. configured to generate image data 50;

The data generation unit 44 may acquire the device configuration visual data by reading the device configuration visual data stored in the storage unit 40, or the visual data acquisition unit 42 (Fig. 3 to 5) may be received from the visual data acquisition unit .

The data generation unit 44 generates the plurality of devices 4 in the device configuration visual data based on the linking information that links the positions of the sound sources included in the acoustic map and the positions of the plurality of devices 4 in the device configuration visual data. The information 60 of the acoustic map corresponding to each position of may be superimposed. The linking information described above may be stored in the storage unit 40 in advance, and the data generation unit 44 may be configured to acquire the linking information from the storage unit 40 .

As described above, the diagnostic results of the diagnosis target device 6 are superimposed on the device configuration acoustic map obtained by superimposing the acoustic map information corresponding to the respective positions of the plurality of devices 4 on the device configuration visual data 52, 54, 56. By using the monitoring image data 50 , it is possible to more easily visually recognize the sound conditions and diagnosis results of the plurality of devices 4 within the monitoring target area 2 . As a result, it is possible to more efficiently monitor facilities including a plurality of devices 4 .

The monitoring image data 50 shown in FIGS. 6 to 10 include rolling rolls 72, gears 74, motors 76, first pumps 78, fans 80, and second pumps 82 as a plurality of devices 4 arranged in the monitoring target area 2. is displayed. In the monitoring image data 50 shown in FIG. 11, as a plurality of devices 4 arranged in the monitoring target area 2, motors 90, 101, 104, 106, spindles 105, gears 92, rolling rolls 94, tension reels 102, 107, Coil cars 103, 108, payoff reel 109, pumps 84, 86, 110 and fan 88 are shown.

The rolling rolls 72, 94, the gears 74, 92 and the motors 76, 90, 101, 104, 106 may each constitute the rolling mill 10 (see FIG. 2). That is, the rolls 72, 94 may correspond to the rolls 18 shown in FIG. 2, the gears 74, 92 may correspond to the gear 14 shown in FIG. 2, or Motors 76, 76, 90, 101, 104, 106 may correspond to motor 12 of FIG.

Further, in the monitoring image data 50 shown in FIGS. 6 to 10, acoustic map information 60 corresponding to the position of each of the plurality of devices 4 is displayed. The acoustic map information 60 indicates the sound pressure level of the sound generated from each device 4, and may be, for example, character information such as hue, color gradation, and numerical value. In the exemplary embodiment shown in FIGS. 6-10, the acoustic map information 60 is shown as a graphic (a plurality of overlapping ellipses in the drawing), with the color shading of the graphic indicating the loudness of the sound. is expressed, and the range in which the sound is generated is expressed by the size of the figure. In the exemplary embodiment shown in FIG. 11, the acoustic map information 60 is represented by colors (color types and shades) superimposed on the iconography showing each device 4 .

7 to 11, information 62 indicating an abnormality of the diagnosis target device 6 is displayed as a result of diagnosis by the abnormality diagnosis unit 38. FIG. The information 62 indicating an abnormality may be a mark including a recognizable shape or color indicating an abnormality of the device. 7 and 8, the fan 80 in the monitoring image data 50 in FIGS. 7, 9 and 10, and the fan 88 in the monitoring image data 50 in FIG. Information 62 indicating the above-described abnormality is attached, indicating that there is an abnormality in these diagnosis target devices 6 (devices 4).

In some embodiments, the visual configuration data includes pictorial data showing the outline of the plurality of devices 4 and the placement of the plurality of devices 4 in the monitored area 2 . For example, the device configuration visual data 52 in the monitoring image data 50 shown in FIGS. It is a layout diagram (iconic image data) showing the layout in . In some embodiments, the visual configuration data may include simplified graphics of the shape of the device 4 , such as the outline of the device 4 . In this way, by using the device configuration visual data including the simplified figure of the shape of the device 4, it becomes easier to prevent the misrecognition by the operator.

The device configuration visual data 52 including the iconographic data described above may be stored in the storage unit 40 in advance. The data generator 44 may acquire the device configuration visual data 52 by reading the device configuration visual data 52 stored in the storage unit 40 .

In some embodiments, the device configuration visual data includes image data (moving image data, still image data, etc.) obtained by photographing the monitored area 2 with a camera (visual data acquisition unit 42). For example, the device configuration visual data 54 in the monitoring image data 50 shown in FIG. 10 is video data (image data ).

In this way, by using the monitoring image data 50 based on the device configuration visual data 54 including iconographic data, it is possible to easily visually recognize the sound conditions and diagnosis results of the plurality of devices 4 in the monitoring target area 2. Accordingly, it is possible to efficiently monitor facilities including a plurality of devices 4 .

When moving image data is used as the device configuration visual data, the visual data acquisition unit 42 acquires image data at predetermined time intervals, so real-time monitoring can be performed using such moving image data. Furthermore, when sound is continuously picked up by a microphone, when images (moving image data) that are continuously shot as described above are used, the actual image at the time of sound pickup where an abnormality is judged to be the sound source For example, if there is a sound emitted by an object that should not be there, or a sound emitted by a worker for percussion, Even if there is a possibility of erroneously judging that there is an abnormality, it can be easily visually recognized that there is no abnormality by visually judging the captured image.

When still image data is used as the device configuration visual data, the device configuration visual data including the still image data (image data) may be stored in the storage unit 40 in advance. The data generator 44 may acquire the device configuration visual data 52 by reading the device configuration visual data stored in the storage unit 40 . In this case, the monitoring device 30 can be made simpler than when image data is acquired using a camera (visual data acquisition unit 42) as described above.

In some embodiments, the visual device configuration data includes textual information indicating the configuration of multiple devices 4 . For example, the device configuration visual data 56 in the monitoring image data 50 shown in FIG. , the layout of each device 4 is schematically shown. The character information described above may include a number indicating the type and arrangement of the device 4 .

In this way, by using the monitoring image data 50 based on the device configuration visual data 56 including character information, it is possible to easily visually recognize the sound status and diagnosis results of the plurality of devices 4 in the monitoring target area 2. Accordingly, it is possible to efficiently monitor facilities including a plurality of devices 4 . If the operator is familiar with the position of each device 4 , it may be possible to quickly judge the diagnosis result of the device 4 by indicating the device configuration with character information such as the device name. In addition, since the device 4 in the monitored area 2 is represented by character information, the display space on the display unit 46 can be reduced, and the space for displaying other information can be increased.

The device configuration visual data 56 including the character information described above may be stored in the storage unit 40 in advance. The data generator 44 may acquire the device configuration visual data 52 by reading the device configuration visual data 56 stored in the storage unit 40 .

In some embodiments, devices 4 include rotating machines (eg, motors) and monitoring device 30 includes extractor 34 (see FIGS. 3-5). The extraction unit 34 extracts, from among the sounds generated by each of the plurality of sound sources (that is, the sounds collected by the first sound collection unit 32), the sound whose frequency changes according to the rotation speed of the rotating machine described above, or It is configured to extract sound whose frequency does not change according to the number of revolutions. The acoustic map generator 36 is configured to generate an acoustic map for the sound source extracted by the extractor 34 .

For example, among the plurality of devices 4 included in the monitoring image data 50 shown in FIG. 8, the motor 76 is a rotating machine. Further, the gear 74 and the rolling rolls 72 that constitute the rolling mill are configured to be driven by a motor (rotary machine). A rolling mill may accelerate or decelerate a motor during operation. In particular, in a reverse mill, acceleration operation, constant speed operation, and deceleration operation of a motor, gears, and rolling rolls are usually repeated each time a rolled material reciprocates between a pair of tension reels. Therefore, the frequency of the sound from the gears and rolling rolls changes according to the number of revolutions of the motor.

In one embodiment, the extracting unit 34 detects that the frequency of the sound generated by each of the plurality of sound sources (that is, the sound collected by the first sound collecting unit 32) changes according to the rotation of the motor (rotating machine). Extract sound. As a result, only the sound from the sound source whose sound frequency changes according to the number of rotations of the motor is extracted. By generating an acoustic map for the sound source of the sound extracted in this way, for example, as shown in FIG. Only the acoustic map information 60 for the equipment 4 (in FIG. 8, the motor 76, the gear 74 and the rolling rolls 72) corresponding to the sound source whose sound frequency changes is included.

On the other hand, among the plurality of devices 4 included in the monitoring image data 50 shown in FIG. (optional), but the operating speed is usually constant. Therefore, the frequencies of sounds from the first pump 78 , the fan 80 and the second pump 82 do not change according to the rotation speed of the motor (rotation speed) as the equipment 4 arranged in the monitored area 2 .

In one embodiment, the extraction unit 34 does not change the frequency of the sound generated by each of the plurality of sound sources (that is, the sound collected by the first sound collection unit 32) according to the rotation of the motor (rotating machine). Extract sound. As a result, only the sound from the sound source whose sound frequency does not change according to the number of revolutions of the motor is extracted. By generating an acoustic map for the sound source of the sound extracted in this way, for example, as shown in FIG. Only the acoustic map information 60 for the equipment 4 (in FIG. 9, the first pump 78, the fan 80 and the second pump 82) corresponding to the sound source whose sound frequency does not change is included.

According to the above-described embodiment, among sounds generated by a plurality of sound sources (devices 4) in the monitoring target area 2, sounds whose frequency changes according to the number of rotations of a rotating machine (motor, etc.) Any sound whose frequency does not change accordingly is extracted, and an acoustic map is generated for the sound source (device 4) thus extracted. By using this acoustic map, for example, as shown in Figs. Surveillance image data 50 containing only information is generated. Therefore, since the equipment 4 to be monitored displayed by the monitoring image data 50 is limited, the operator can quickly grasp the status of the sound from the equipment 4 to be monitored and the diagnosis result.

For example, the extraction unit 34 extracts Sound is collected, and frequency analysis is performed on the sound data acquired for each of multiple rotation speed conditions. Then, by extracting components having a common frequency regardless of the rotation speed condition, it is possible to extract sound data whose frequency does not change according to the rotation speed of the rotary machine (motor or the like). Alternatively, it is possible to extract sound data whose frequency changes according to the rotation speed of a rotating machine (such as a motor) by removing components having a common frequency from the frequency analysis results regardless of the rotation speed condition.

Next, the abnormality diagnosis section 38 and the abnormality diagnosis procedure by the abnormality diagnosis section 38 will be described more specifically.

The abnormality diagnosis unit 38 may be configured to diagnose an abnormality in the diagnosis target device 6 based on the sound generated by the diagnosis target device 6 .

In the exemplary embodiment shown in FIG. 4, the sound from the device under diagnosis 6 is shown by a second sound collector 48 separate from the first sound collector 32 for collecting the sound used to generate the acoustic map. Acquiring sound data, the abnormality diagnosis unit 38 diagnoses the diagnosis target device 6 based on the sound data. The second sound collector 48 may include a microphone. When there are a plurality of devices 6 to be diagnosed, a separate second sound collector 48 may be provided for each device 6 to be diagnosed. Also, a plurality of first sound collectors 32 may be used to collect sounds.

In the exemplary embodiment shown in FIG. 5, the abnormality diagnosis unit 38 uses the sound collected by the first sound collection unit 32 for collecting sound used for generating the acoustic map, and detects the diagnosis target device 6. configured to diagnose anomalies in

A procedure for diagnosing an abnormality of the diagnosis target device 6 using the sound collected by the first sound collector 32 can be explained as follows, for example, with reference to FIG.
Based on the sound collected by the first sound collector 32, the acoustic map generator 36 generates an acoustic map showing the relationship between each sound source in the monitoring target area 2 and the sound pressure level of the sound source. The abnormality diagnosing unit 38 acquires the acoustic map generated by the acoustic map generating unit 36, and based on the linking information linking the position of each sound source included in the acoustic map and the position of the diagnosis target device 6, generates an acoustic map. , the sound pressure level data corresponding to the diagnosis target device 6 is extracted. The abnormality diagnosis unit 38 may diagnose the diagnosis target device 6 based on the sound pressure level data thus extracted. Note that the linking information described above may be stored in the storage unit 40 in advance, and the data generation unit 44 may be configured to acquire the linking information from the storage unit 40 .

In the above-described embodiment, an abnormality in the diagnosis target device 6 is diagnosed based on the sound that is used to generate the acoustic map and is collected by the first sound collector 32. Therefore, the diagnosis target device 6 (device 4) There is no need to provide a sound collecting means (such as a microphone) separate from the first sound collecting unit 32 for the abnormality diagnosis. Therefore, monitoring image data can be generated with a simple configuration, and multiple devices 4 within the monitoring target area 2 can be efficiently monitored.

In some embodiments, the abnormality diagnosis unit 38 is configured to diagnose an abnormality in the diagnosis target device 6 based on the sound pressure level generated by the diagnosis target device 6 . In this case, based on the sound pressure level generated by the diagnostic target device 6, the abnormality of the diagnostic target device 6 can be appropriately diagnosed.

In some embodiments, the device 6 to be diagnosed is a rotating machine (for example, a motor or a rotating machine driven by a motor), and the abnormality diagnosis unit 38 measures the sound pressure at a specific rotation speed when the rotation speed of the rotating machine increases. It is configured to diagnose an abnormality in the diagnosis target device 6 (rotary machine) based on at least one of the level and the sound pressure level at the specific number of revolutions when the number of revolutions of the rotary machine is reduced.

At a particular rotation speed in the process of increasing or decreasing the rotation speed of a rotating machine, the sound pressure level may suddenly increase in relation to the natural frequency of the rotating machine. In this regard, according to the above-described embodiment, the presence or absence of an abnormality in the equipment is determined based on the sound pressure level at a specific rotation speed at which the sound suddenly increases in the process of increasing or decreasing the rotation speed of the rotating machine. Therefore, the diagnosis of the diagnosis target device 6 can be performed with high accuracy. Further, it is possible to easily diagnose an abnormality of a device whose number of revolutions increases or decreases during operation based on the loudness of sound at a specific number of revolutions.

In some embodiments, the abnormality diagnosis unit 38 measures the sound pressure level at a specific rotation speed when the rotation speed of a rotating machine (for example, a motor or a rotating machine driven by a motor), which is the diagnosis target device 6, increases, and It is configured to determine that there is an abnormality in the diagnosis target device 6 when the difference between the sound pressure level at the specific rotation speed when the rotation speed of the rotary machine is reduced is equal to or less than a threshold value.

When an abnormality occurs in a rotating device, the load torque increases due to frictional heat, and there is a tendency for the sound to become louder at a specific rotation speed not only when the rotation speed increases but also when the rotation speed decreases. In this regard, according to the above-described embodiment, a change occurs in the difference between the sound pressure level at a specific rotation speed when the rotation speed of the rotary machine increases and the sound pressure level at the same specific rotation speed when the rotation speed is decreased. Therefore, if the difference between the sound pressure levels generated at the natural frequency when the number of revolutions increases and when the number of revolutions decreases is equal to or less than the threshold value, it is determined that the diagnostic target device 6 has an abnormality. can be accurately diagnosed. In addition, it is possible to effectively diagnose a malfunction of a rotating machine whose rotational speed is repeatedly increased and decreased during operation.

In some embodiments, the abnormality diagnosis unit 38 determines the sound pressure level at a specific rotation speed when the rotation speed of a rotating machine (for example, a motor or a rotating machine driven by a motor) that is the diagnosis target device 6 increases, and the threshold is configured to diagnose an abnormality in the diagnosis target device 6 based on the comparison with the

According to the above-described embodiment, the presence or absence of an abnormality in the equipment is determined based on the comparison between the sound pressure level at a specific rotation speed at which the sound suddenly increases in the process of increasing or decreasing the rotation speed of the rotating machine, and the comparison value. Since the determination is made, the diagnosis of the diagnosis target device 6 can be performed easily and accurately.

In some embodiments, the rotating machine that is the equipment to be diagnosed 6 is configured to be driven by a motor, and the abnormality diagnosis unit 38 generates sound pressure level data indicating the sound of the equipment to be diagnosed 6 in terms of sound pressure level. It is configured to normalize by the torque of the motor and diagnose an abnormality in the diagnosis target device 6 using the normalized sound pressure level data.

According to the above-described embodiment, the sound pressure level data indicating the sound of the diagnosis target device 6 is normalized with respect to the sound pressure level by the torque of the motor, thereby reducing the influence on the sound pressure level due to increase or decrease of the torque of the motor. can be converted into sound data. Therefore, by diagnosing the diagnosis target device 6 based on the sound pressure level data normalized in this way, the accuracy of diagnosis can be improved.

An example of an abnormality diagnosis procedure by the abnormality diagnosis unit 38 according to one embodiment will be described below with reference to FIGS. 12 to 14. FIG. Here, in the rolling mill 10 shown in FIG. 2, the case where the gear 14 connected to and driven by the motor 12 is used as the equipment 6 to be diagnosed will be described.

12 and 13 are flow charts showing the procedure of abnormality diagnosis by the abnormality diagnosis unit 38 according to one embodiment. FIG. 14 shows changes over time in the number of motor rotations, the sound pressure level of the sound generated in the diagnosis target device 6, and the motor torque when the sound pressure level data used in the abnormality diagnosis according to the flowchart shown in FIG. 12 or 13 is acquired. It is a graph which shows an example.

In the embodiment shown in FIG. 12, first, sound data representing the sound generated by the gear 14, which is the device 6 to be diagnosed, is acquired (step S2). Here, the sound pressure level of the sound generated by the gear 14 (see FIG. 14) is acquired as the sound data. In step S2, at least a period including a period during which the rotation speed of the motor 12 driving the gear 14 increases (from time t0 to t4 in FIG. 14) and a period during which the rotation speed of the motor 12 increases (see FIG. 14). sound pressure level data at time t5 to t9).

In the example shown in FIG. 14, the rotation speed of the motor 12 increases from zero to rs from time t0 to t4, and the rotation speed of the motor 12 increases from rs to _zero from time t5 to t9 _. Decrease. From time t4 to time t5, the rotational speed of the motor 12 is constant _rS .
The rotation speed of gear 14 varies depending on the rotation speed of motor 12 . That is, when the rotation speed of the motor 12 increases, the rotation speed of the gear 14 likewise increases, and when the rotation speed of the motor 12 decreases, the rotation speed of the gear 14 likewise decreases. When the rotation speed of the motor 12 is constant, the rotation speed of the gear 14 is also constant.

In the example shown in FIG. 14, the motor torque T1 when the rotation speed of the motor 12 increases (from time t0 to t4), the motor torque T2 when the rotation speed of the motor 12 is constant (from time t4 to t5), The motor torque T3 when the rotational speed is decreasing (from time t5 to t9) is constant and has a relationship of T1>T2>T3.

Next, during an increase in the rotation speed of the motor 12 (that is, during an increase in the rotation speed of the gear 14 (rotating machine as the diagnostic target device 6); between times t0 and t4 in FIG. 14), a specific rotation that produces a characteristic sound The number (R1) and the sound pressure level (A1) of the characteristic sound are obtained (step S4).

Here, the characteristic sound is a sound (a sound having a peak intensity) whose sound pressure suddenly increases with respect to a change in the number of revolutions. In the example shown in FIG. 14, the characteristic sounds appear when the rotational speeds are r1 (time t1), r2 (time t2), and r3 (time t3). The number of revolutions r1 to r3 is a specific number of revolutions (R1). Hereinafter, the case where the specific number of rotations (R1) is r1 will be described, but the same explanation can be applied to other specific number of rotations R1 (r2 to r3). The sound pressure levels when the rotational speed increases are A1_1 to A1_3, and the sound pressure levels when the rotational speed is decreased are A2_1 to A2_3 corresponding to the rotational speeds r1 to r3, respectively (see FIG. 14).

Specifically, in step S4 described above, the rotational speed r1 (specific rotational speed R1) at which the characteristic sound is generated and the sound pressure level A1_1 at the rotational speed r1 (the sound pressure level A1 of the characteristic sound) (see FIG. 14) are determined. get.

Next, while the rotation speed of the motor 12 is decreasing (that is, while the rotation speed of the gear 14 is decreasing; from time t5 to t9 in FIG. 14), the sound pressure level A2_1 (characteristic sound pressure Level A2) is obtained (step S6).

Then, the difference (A1_1-A2_1) between the sound pressure level A1_1 of the characteristic sound obtained when the motor rotation speed is increased in step S2 and the sound pressure level A2_1 of the characteristic sound obtained when the motor rotation speed is decreased in step S4 is used as a threshold value. (step S8).

As a result of step S8, if the difference (A1_1-A2_1) is greater than the threshold value (No in step S8), it is determined that there is no abnormality in the gear 14 (diagnosis target device 6) (step S14), and the gear 14 End the abnormality diagnosis. On the other hand, as a result of step S8, if the difference (A1_1-A2_1) is equal to or less than the threshold value (Yes in step S8), it is determined that there is an abnormality in the gear 14 (device to be diagnosed 6) (step S10). The diagnosis result is output to the data generator 44 (step S12). Based on the diagnostic result passed to the data generation unit 44 in this manner, the monitoring image data described above is generated.

Note that the difference between the sound volume (A1_1, etc.) of the specific rotation speed (r1, etc.) in the process of increasing the rotation speed of the motor 12 and the sound volume (A2_1) of the specific rotation speed (r1, etc.) in the process of decreasing the rotation speed of the motor 12 becomes smaller (Yes in step S8), it can be determined that the gear 14 (rotary machine) is not in a normal state because the sound is relatively loud even in the process of decreasing the rotational speed with a small load (motor torque).

In the embodiment shown in FIG. 12, the sound pressure level (A1_1) at a specific rotation speed (for example, rotation speed r1) when the rotation speed of the gear 14 (rotating machine) increases, and the same specific rotation speed (rotation When the difference (A1_1-A2_1) from the sound pressure level (A2_1) in the number r1) is equal to or less than the threshold value, it is determined that the diagnosis target device 6 has an abnormality. It can be done with high accuracy. In addition, it is effective for rotary machines in which the number of rotations is repeatedly increased and decreased during operation (for example, rotary machines such as the gear 14 of a reverse mill that rolls a metal plate while reciprocating it between a pair of tension reels). Anomaly diagnosis can be performed.

In the embodiment shown in FIG. 13, sound pressure level data indicating the sound generated by the gear 14, which is the device to be diagnosed 6, is first acquired (step S22), as in step S2 in FIG.

Next, during an increase in the rotation speed of the motor 12 (that is, during an increase in the rotation speed of the gear 14 (rotating machine as the diagnostic target device 6); between times t0 and t4 in FIG. 14), a specific rotation that produces a characteristic sound The number (R1; r1 here as an example) and the sound pressure level (A1; here A1_1 as an example) of the characteristic sound are obtained (step S24).

Next, the torque T1 of the motor corresponding to the specific rotation speed r1 when the rotation speed of the motor 12 is increased (that is, when the rotation speed of the gear 14 is increased) is obtained (step S26).

Next, the sound pressure level A1_1 at the specific rotation speed r1 when the rotation speed of the motor 12 is increased (that is, when the rotation speed of the gear 14 is increased) is normalized by the motor torque T1 (step S28). That is, the normalized sound pressure level A1_1/T1 obtained by dividing the sound pressure level A1_1 at the specific number of revolutions r1 by the motor torque T1 is acquired.

Then, the normalized sound pressure level A1_1/T1 obtained in step S28 is compared with a threshold (step S30). As a result, when the normalized sound pressure level A1_1/T1 is equal to or less than the threshold (Yes in step S30), it is determined that there is no abnormality in the gear 14 (diagnosis target device 6) (step S36), and abnormality diagnosis of the gear 14 is performed. finish. On the other hand, if the result of step S30 is that the normalized sound pressure level A1_1/T1 is greater than the threshold value (No in step S30), it is determined that there is an abnormality in the gear 14 (diagnosis target device 6) (step S32), and this diagnosis is performed. The result is output to the data generator 44 (step S34). Based on the diagnostic result passed to the data generation unit 44 in this manner, the monitoring image data described above is generated.

According to the above-described embodiment, the sound pressure level data indicating the sound of the gear 14 (diagnosis target device 6) is normalized with respect to the sound pressure level by the torque (T1) of the motor 12. Therefore, the torque of the motor 12 can be converted into sound pressure level data in which the influence on the sound pressure level due to an increase or decrease in is reduced. Therefore, by diagnosing the gear 14 (diagnosis target device 6) based on the sound pressure level data normalized in this way, the accuracy of diagnosis can be improved.

Further, according to the above-described embodiment, the sound pressure level (A1_1, etc.) at a specific rotation speed (r1, etc.) at which the sound suddenly increases in the process of increasing or decreasing the rotation speed of the gear 14 (rotating machine), Since the presence or absence of an abnormality in the gear 14 (equipment 4) is determined based on comparison with a threshold value (comparison value), diagnosis of the gear 14 (diagnosis target equipment 6) can be performed easily and accurately.

An overview of a monitoring apparatus and monitoring method according to some embodiments is provided below.

(1) A monitoring device according to at least one embodiment of the present invention,
A monitoring device for monitoring a plurality of devices placed in a monitored area,
a sound collecting unit for collecting sound in the monitoring target area;
an acoustic map generation unit for generating an acoustic map showing the relationship between the positions of a plurality of sound sources contained in the monitoring target area and the sound pressure of each sound source, based on the sounds collected by the sound collection unit;
an abnormality diagnosis unit configured to diagnose an abnormality in at least one diagnosis target device among the plurality of devices;
receiving the acoustic map generated by the acoustic map generation unit and the diagnosis result of the diagnosis target device by the abnormality diagnosis unit, and creating the diagnosis on the acoustic map in association with the position of the diagnosis target device on the acoustic map; a data generation unit for generating surveillance image data in which the results are superimposed;
Prepare.

According to the above configuration (1), an acoustic map showing the relationship between the positions of the plurality of sound sources and the sound pressure of each sound source is generated based on the sound collected in the monitoring target area, and the diagnostic object on the acoustic map is generated. Monitoring image data is generated by superimposing the acoustic map and the abnormality diagnosis result of the diagnosis target device in association with the position of the device. Therefore, by displaying the monitoring image data generated in this way, it is possible to visually recognize the status of the sounds from the multiple devices and the diagnostic results, thereby efficiently monitoring the multiple devices within the monitoring target area. can be done.

(2) In some embodiments, in the configuration of (1) above,
The data generation unit
Acquiring device configuration visual data that visually indicates the configuration of the plurality of devices;
The monitoring image data is generated by superimposing the diagnosis result on an equipment configuration acoustic map obtained by superimposing the information of the acoustic map corresponding to the position of each of the plurality of devices on the equipment configuration visual data. .

According to the above configuration (2), the monitoring image is obtained by superimposing the diagnostic result of the diagnostic target device on the device configuration acoustic map obtained by superimposing the information of the acoustic map corresponding to the position of each of the plurality of devices on the device configuration visual data. Generate data. Therefore, by using this monitoring image data, it is possible to more easily visually recognize the sound conditions and diagnostic results of a plurality of devices in the monitoring target area, thereby making it possible to more efficiently monitor facilities including a plurality of devices. can be done.

(3) In some embodiments, in the configuration of (2) above,
The device configuration visual data includes moving image data or still image data obtained by photographing the monitored area with a camera.

According to the above configuration (3), since moving image data or still image data obtained by photographing an area to be monitored by a camera is acquired as equipment configuration visual data, Surveillance image data is generated. Therefore, by using this monitoring image data, it is possible to easily visually recognize the sound conditions and diagnostic results of a plurality of devices in the monitoring target area, thereby efficiently monitoring facilities including a plurality of devices. be able to.

(4) In some embodiments, in the configuration of (2) above,
The device configuration visual data includes iconographic data indicating the outlines of the plurality of devices and the arrangement of the plurality of devices in the monitored area.

According to the above configuration (4), as the device configuration visual data, iconographic data indicating the outline of the plurality of devices and the layout of the plurality of devices in the monitored area are acquired. Surveillance image data is generated. Therefore, by using this monitoring image data, it is possible to easily visually recognize the sound conditions and diagnostic results of a plurality of devices in the monitoring target area, thereby efficiently monitoring facilities including a plurality of devices. be able to.

(5) In some embodiments, in the configuration of (2) above,
The device configuration visual data includes character information indicating configurations of the plurality of devices.

According to the configuration (5) above, character information indicating the configuration of a plurality of devices is obtained as the device configuration visual data, so that monitoring image data is generated based on the character information. Therefore, by using this monitoring image data, it is possible to easily visually recognize the sound conditions and diagnostic results of a plurality of devices in the monitoring target area, thereby efficiently monitoring facilities including a plurality of devices. be able to.

(6) In some embodiments, in the configuration of any one of (1) to (5) above,
the plurality of devices includes rotating machines;
The monitoring device
Extraction configured to extract a sound whose frequency changes according to the rotation speed of the rotating machine, or a sound whose frequency does not change according to the rotation speed, from among the sounds generated by each of the plurality of sound sources. has a part,
The acoustic map generator is configured to generate the acoustic map for the sound sources extracted by the extractor.

According to the configuration (6) above, among the sounds generated by the plurality of sound sources (devices), the sound whose frequency changes according to the rotation speed of the rotary machine, or the sound whose frequency does not change according to the rotation speed. Any one is extracted, and an acoustic map is generated for the sound source (device) thus extracted. By using this acoustic map, monitoring image data is generated that includes only information relating to either a device whose sound frequency changes or does not change according to the number of rotations of the rotary machine. Therefore, the equipment to be monitored displayed by the monitoring image data is limited, so that the operator can quickly grasp the status of the sound from the equipment to be monitored and the diagnosis result.

(7) In some embodiments, in the configuration of any one of (1) to (6) above,
The abnormality diagnosis unit is configured to diagnose an abnormality in the diagnosis target device based on the sound generated by the diagnosis target device.

With configuration (7) above, it is possible to appropriately diagnose an abnormality in the diagnostic target device based on the sound generated by the diagnostic target device.

(8) In some embodiments, in the configuration of (7) above,
The abnormality diagnosis unit is configured to diagnose an abnormality in the diagnosis target device based on the sound collected by the sound collection unit.

According to the above configuration (8), an abnormality in the diagnosis target device is diagnosed based on the sound collected by the sound collecting unit used for generating the acoustic map. There is no need to provide a sound collecting means (such as a microphone) other than the sound collecting unit described above. Therefore, monitoring image data can be generated with a simple configuration, and a plurality of devices within the monitoring target area can be efficiently monitored.

(9) In some embodiments, in the configuration of (7) or (8) above,
The abnormality diagnosing unit is configured to diagnose an abnormality in the diagnosis target device based on a sound pressure level generated by the diagnosis target device.

With configuration (9) above, it is possible to appropriately diagnose an abnormality in the diagnostic target device based on the sound pressure level generated by the diagnostic target device.

(10) In some embodiments, in the configuration of (7) or (8) above,
The equipment to be diagnosed is a rotating machine,
Based on at least one of a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases or a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases, It is configured to diagnose an abnormality in the diagnosis target device.

At a particular rotation speed in the process of increasing or decreasing the rotation speed of a rotating machine, the sound pressure level may suddenly increase in relation to the natural frequency of the rotating machine. In this regard, according to the above configuration (10), the presence or absence of an abnormality in the equipment is determined based on the sound pressure level at a specific rotation speed at which the sound suddenly increases in the process of increasing or decreasing the rotation speed of the rotating machine. As a result, it is possible to accurately diagnose the equipment to be diagnosed. Further, it is possible to easily diagnose an abnormality of a device whose number of revolutions increases or decreases during operation based on the loudness of sound at a specific number of revolutions.

(11) In some embodiments, in the configuration of (10) above,
The equipment to be diagnosed is a rotating machine,
The abnormality diagnosis unit determines that a difference between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases is equal to or less than a threshold. In some cases, it is configured to determine that there is an abnormality in the device to be diagnosed.

When there is an abnormality in a rotating device, there is a tendency that the sound becomes louder at a specific rotation speed not only when the rotation speed increases but also when the rotation speed decreases. In this respect, according to the configuration (11) above, the difference between the sound pressure level at a specific rotation speed when the rotation speed of the rotary machine is increased and the sound pressure level at the same specific rotation speed when the rotation speed is decreased is the threshold. Since it is determined that there is an abnormality in the equipment to be diagnosed in the following cases, it is possible to accurately diagnose the equipment to be diagnosed. In addition, it is possible to effectively diagnose a malfunction of a rotating machine whose rotational speed is repeatedly increased and decreased during operation.

(12) In some embodiments, in the configuration of (7) or (8) above,
The equipment to be diagnosed is a rotating machine,
The abnormality diagnosing unit is configured to diagnose an abnormality in the diagnosis target device based on a comparison between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine is increased and a threshold value.

According to the above configuration (12), the sound pressure level at a specific rotation speed at which the sound suddenly increases in the process of increasing or decreasing the rotation speed of the rotating machine is compared with the comparison value to determine whether there is an abnormality in the equipment. Since the presence/absence is determined, the diagnosis target device can be diagnosed simply and accurately.

(13) In some embodiments, in the configuration of (9) or (12) above,
the rotating machine is configured to be driven by a motor;
The abnormality diagnosis unit normalizes the sound pressure level data indicating the sound of the equipment to be diagnosed with the torque of the motor with respect to the sound pressure level, and detects the abnormality of the equipment to be diagnosed using the normalized sound pressure level data. configured to diagnose

According to the above configuration (13), the sound pressure level data indicating the sound of the device to be diagnosed is normalized with respect to the sound pressure level by the torque of the motor, so that the influence of the increase or decrease in the torque of the motor on the sound pressure level is reduced. It can be converted into reduced sound pressure level data. Therefore, by diagnosing the equipment to be diagnosed based on the sound pressure level data normalized in this way, it is possible to improve the accuracy of the diagnosis.

(14) In some embodiments, in the configuration of any one of (1) to (13) above,
The plurality of machines includes a motor and a rolling mill driven by the motor.

According to the configuration of (14) above, a rolling mill including a motor and a device driven by the motor (e.g., gear, spindle, or rolling roll, etc.) can be efficiently monitored as described in (1) above. can be done systematically.

(15) A monitoring method according to at least one embodiment of the present invention,
A method for monitoring a plurality of devices arranged in a monitored area, comprising:
collecting sound in the monitored area;
generating an acoustic map showing the relationship between the positions of a plurality of sound sources contained in the monitoring target area and the sound pressure of each sound source, based on the sounds collected in the sound collecting step;
diagnosing an abnormality in at least one diagnosis target device among the plurality of devices;
a step of displaying the diagnostic result of the diagnostic target device in association with the position of the diagnostic target device on the acoustic map and superimposed on the acoustic map;
Prepare.

According to the method (15) above, an acoustic map showing the relationship between the positions of a plurality of sound sources and the sound pressure of each sound source is generated based on the sound collected in the monitoring target area, and the diagnostic object on the acoustic map is generated. Monitoring image data is generated by superimposing the acoustic map and the abnormality diagnosis result of the diagnosis target device in association with the position of the device. Therefore, by displaying the monitoring image data generated in this way, it is possible to visually recognize the status of the sounds from the multiple devices and the diagnostic results, thereby efficiently monitoring the multiple devices within the monitoring target area. can be done.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and includes modifications of the above-described embodiments and modes in which these modes are combined as appropriate.

As used herein, expressions such as "in a certain direction", "along a certain direction", "parallel", "perpendicular", "center", "concentric" or "coaxial", etc. express relative or absolute arrangements. represents not only such arrangement strictly, but also the state of being relatively displaced with a tolerance or an angle or distance to the extent that the same function can be obtained.
For example, expressions such as "identical", "equal", and "homogeneous", which express that things are in the same state, not only express the state of being strictly equal, but also have tolerances or differences to the extent that the same function can be obtained. It shall also represent the existing state.
Further, in this specification, expressions representing shapes such as a quadrilateral shape and a cylindrical shape not only represent shapes such as a quadrilateral shape and a cylindrical shape in a geometrically strict sense, but also within the range in which the same effect can be obtained. , a shape including an uneven portion, a chamfered portion, and the like.
Moreover, in this specification, the expressions “comprising”, “including”, or “having” one component are not exclusive expressions excluding the presence of other components.

1 Facility 2 Monitored Area 4 Device 6 Diagnosis Target Device 9 Metal Strip 10 Rolling Mill 12 Motor 12A Work Roll 12B Work Roll 14 Gear 16 Spindle 18 Roll Roll 22A Work Roll 22B Work Roll 24A Intermediate Roll 24B Intermediate Roll 26A Backup Roll 26B Backup roll 30 Monitoring device 32 First sound collector 34 Extractor 36 Acoustic map generator 38 Abnormal diagnosis unit 40 Storage unit 42 Visual data acquisition unit 44 Data generator 46 Display unit 48 Second sound collector 50 Monitoring image data 52 Equipment Configuration visual data 54 Equipment configuration visual data 56 Equipment configuration visual data 60 Information 62 Information 72 Rolling roll 74 Gear 76 Motor 78 First pump 80 Fan 82 Second pump 84 Pump 86 Pump 88 Fan 90 Motor 92 Gear 94 Rolling roll 101 Motor 102 Tension reel 103 Coil car 104 Motor 105 Spindle 106 Motor 107 Tension reel 108 Coil car 109 Payoff reel 110 Pump

Claims (16)

A monitoring device for monitoring a plurality of devices placed in a monitored area,
a sound collecting unit for collecting sound in the monitoring target area;
an acoustic map generation unit for generating an acoustic map showing the relationship between the positions of a plurality of sound sources contained in the monitoring target area and the sound pressure of each sound source, based on the sounds collected by the sound collection unit;
an abnormality diagnosis unit configured to diagnose an abnormality in at least one diagnosis target device among the plurality of devices;
receiving the acoustic map generated by the acoustic map generation unit and a diagnosis result of the diagnosis target device by the abnormality diagnosis unit, and creating the diagnosis on the acoustic map in association with the position of the diagnosis target device on the acoustic map; a data generation unit for generating surveillance image data in which the results are superimposed;
with
The abnormality diagnosis unit is configured to diagnose an abnormality in the diagnosis target device based on the sound generated in the diagnosis target device,
The equipment to be diagnosed is a rotating machine,
Based on at least one of a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases, configured to diagnose an abnormality in the diagnosis target device ;
The abnormality diagnosis unit determines that a difference between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases is equal to or less than a threshold. configured to determine that there is an abnormality in the device to be diagnosed in a certain case
surveillance equipment. The data generation unit
Acquiring device configuration visual data that visually indicates the configuration of the plurality of devices;
The monitoring image data is generated by superimposing the diagnosis result on an equipment configuration acoustic map obtained by superimposing the information of the acoustic map corresponding to the position of each of the plurality of devices on the equipment configuration visual data. A monitoring device according to claim 1 . 3. The monitoring apparatus according to claim 2 , wherein said equipment configuration visual data includes moving image data or still image data obtained by photographing said monitoring target area with a camera. 3. The monitoring apparatus according to claim 2 , wherein the device configuration visual data includes iconographic data indicating at least one of the outlines of the plurality of devices and the arrangement of the plurality of devices in the monitored area. 3. The monitoring apparatus according to claim 2 , wherein said device configuration visual data includes character information indicating configurations of said plurality of devices. the plurality of devices includes rotating machines;
Extraction configured to extract a sound whose frequency changes according to the rotation speed of the rotating machine, or a sound whose frequency does not change according to the rotation speed, from among the sounds generated by each of the plurality of sound sources. has a part,
6. The monitoring device according to any one of claims 1 to 5 , wherein the acoustic map generator is configured to generate the acoustic map for the sound sources extracted by the extractor. The monitoring device according to any one of claims 1 to 6 , wherein the abnormality diagnosis section is configured to diagnose abnormality of the diagnosis target device based on the sound collected by the sound collection section. The monitoring apparatus according to any one of claims 1 to 7 , wherein the abnormality diagnosis unit is configured to diagnose an abnormality in the diagnosis target device based on a sound pressure level generated in the diagnosis target device. The abnormality diagnosis unit is configured to diagnose an abnormality in the diagnosis target device based on a comparison between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine is increased and a threshold value. 8. A monitoring device according to any one of 7 . the rotating machine is configured to be driven by a motor;
The abnormality diagnosis unit normalizes the sound pressure level data indicating the sound of the equipment to be diagnosed with the torque of the motor with respect to the sound pressure level, and detects the abnormality of the equipment to be diagnosed using the normalized sound pressure level data. 10. A monitoring device according to claim 8 or 9 , adapted to diagnose 11. The monitoring apparatus according to any one of claims 1 to 10 , wherein said plurality of equipment includes a motor and a rolling mill driven by said motor. An abnormality diagnosis device for diagnosing an abnormality in a rotating machine,
Diagnosing an abnormality of the rotating machine based on at least one of a sound pressure level at a specific number of revolutions when the number of revolutions of the rotating machine increases, or a sound pressure level at the specific number of revolutions when the number of revolutions of the rotating machine decreases. is configured to
If the difference between the sound pressure level at a specific rotation speed when the rotation speed of the rotating machine is increased and the sound pressure level at the specific rotation speed when the rotation speed of the rotating machine is decreased is equal to or less than a threshold, the rotation configured to determine that there is an abnormality in the machine
Abnormal diagnosis device. 13. The abnormality diagnosis device according to claim 12 , configured to diagnose an abnormality of the rotating machine based on a comparison between a sound pressure level at a specific number of revolutions when the number of revolutions of the rotating machine increases and a threshold value. the rotating machine is configured to be driven by a motor;
sound pressure level data indicating the sound of the rotating machine is normalized with respect to the sound pressure level by the torque of the motor, and the normalized sound pressure level data is used to diagnose an abnormality of the rotating machine. The abnormality diagnosis device according to claim 12 or 13 . A method for monitoring a plurality of devices arranged in a monitored area, comprising:
collecting sound in the monitored area;
generating an acoustic map showing the relationship between the positions of a plurality of sound sources contained in the monitoring target area and the sound pressure of each sound source, based on the sounds collected in the sound collecting step;
diagnosing an abnormality in at least one diagnosis target device among the plurality of devices;
a step of displaying the diagnostic result of the diagnostic target device in association with the position of the diagnostic target device on the acoustic map and superimposed on the acoustic map;
with
In the step of diagnosing the abnormality, diagnosing the abnormality of the diagnosis target device based on the sound generated in the diagnosis target device;
The equipment to be diagnosed is a rotating machine,
In the step of diagnosing the abnormality, at least one of a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases Diagnose an abnormality in the equipment to be diagnosed based on
In the step of diagnosing the abnormality, a difference between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases is a threshold. It is determined that there is an abnormality in the rotating machine when:
Monitoring method. An abnormality diagnosis method for diagnosing an abnormality in a rotating machine, comprising:
Diagnosing an abnormality of the rotating machine based on at least one of a sound pressure level at a specific number of revolutions when the number of revolutions of the rotating machine is increased and a sound pressure level at the specific number of revolutions when the number of revolutions of the rotating machine is decreasing. and
In the step of diagnosing the abnormality, a difference between a sound pressure level at a specific rotation speed when the rotation speed of the rotating machine increases and a sound pressure level at the specific rotation speed when the rotation speed of the rotating machine decreases is a threshold. It is determined that there is an abnormality in the rotating machine when:
Abnormal diagnosis method.

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