Monitoring support system for rotating apparatus

Abstract

To provide a monitoring support system for a rotating apparatus capable of installing a vibration sensor at an appropriate position of the rotating apparatus without depending on skills and knowledge of a user.SOLUTION: The monitoring support system for a rotating apparatus includes: an image acquisition unit for acquiring an image of a rotating apparatus; a determination unit for determining a recommended set position of a sensor used for condition monitoring of the rotating apparatus from the image by using AI; and a display control unit for displaying the recommended set position on the image.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a monitoring assistance system for rotating machinery. [Background technology]

[0002] When rotating equipment such as pumps, fans, electric motors, and compressors is operated, vibrations are generated by the mechanical operation of the rotating equipment's components. Users of the rotating equipment periodically measure the vibrations generated in the rotating equipment. Based on the measured values, the users can determine whether there is a malfunction (abnormality) or whether maintenance is necessary. In order to measure the vibrations generated in the rotating equipment, a vibration sensor is sometimes installed on the rotating equipment (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-2063 Summary of the Invention [Problem to be solved by the invention]

[0004] To obtain appropriate vibration data, vibration sensors must be installed in appropriate locations. However, there are many types of rotating equipment, and the appropriate installation position for a vibration sensor varies for each rotating equipment. The appropriate posture of the vibration sensor also varies for each installation position. Therefore, it may not be easy to install the vibration sensor in the appropriate installation position and posture on the rotating equipment. In particular, differences in the skills and knowledge of users can lead to errors or deviations in the sensor installation position. [Means for solving the problem]

[0005] A first aspect of the present invention is a monitoring assistance system for rotating equipment, characterized by having an image acquisition unit that acquires an image of the rotating equipment, a discrimination unit that uses AI to determine from the image a recommended installation position of a sensor to be used for monitoring the status of the rotating equipment, and a display control unit that displays the recommended installation position on the image.

[0006] A second aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in the first aspect, the display control unit uses AR to display a recommended installation position on the image.

[0007] A third aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in the first or second aspect, the discrimination unit has been trained in advance by machine learning using images of multiple rotating equipment, and the image acquisition unit, discrimination unit, and display control unit are built into a single terminal.

[0008] A fourth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in any one of the first to third aspects, the image acquisition unit acquires a nameplate image of the rotating equipment, the discrimination unit discriminates the recommended installation position from the nameplate image using AI, and the display control unit displays the recommended installation position on the image.

[0009] A fifth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in any one of the first to fourth aspects, the discrimination unit determines the recommended installation position based on the position where another user has installed the sensor.

[0010] A sixth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in any one of the first to fifth aspects, the discrimination unit uses the recommended installation position that has been set in advance.

[0011] A seventh aspect of the present invention is a rotating equipment monitoring assistance system, characterized in that in any one of the first to sixth aspects, the discrimination unit further includes an installation direction discrimination unit that uses AI to discriminate the installation direction of the installed sensor based on an image of the installed sensor taken by a user.

[0012] An eighth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in any one of the first to seventh aspects, the display control unit displays an auxiliary line on the screen of one of the terminals when a user takes an image of the installed sensor.

[0013] A ninth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that, in any one of the third to eighth aspects, the terminal further comprises a communication unit, and the discrimination unit is provided in the cloud and the terminal, respectively, and after installation of the sensor on the rotating equipment is completed, the communication unit automatically uploads information regarding the rotating equipment and the installation position and mounting direction of the sensor installed on the rotating equipment to the cloud in a location where communication is possible, and when a certain amount of information is uploaded to the cloud, the communication unit reconstructs an AI model of the discrimination unit in the cloud based on the uploaded information, transmits the reconstructed AI model in the cloud to the terminal, and updates the AI ​​model stored in the terminal to the AI ​​model in the cloud.

[0014] A tenth aspect of the present invention is a monitoring assistance system for rotating equipment, characterized in that in the ninth aspect, the AI ​​model is reconstructed by associating multiple models of the rotating equipment with the installation position and the mounting direction of the sensor for each of the multiple models. [Effects of the Invention]

[0015] According to the present invention, it is possible to provide a monitoring assistance system for a rotating device that allows vibration sensors to be installed at appropriate positions on the rotating device, without relying on the skill and knowledge of the user. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a schematic diagram of a rotating equipment monitoring assistance system according to the present invention; [Figure 2] 1 is a schematic diagram of a terminal of a rotating machine monitoring assistance system according to the present invention; [Figure 3] 1 is a schematic block diagram of a rotating machine monitoring assistance system according to the present invention; [Figure 4] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 5] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 6] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 7] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 8] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 9] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 10] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 11] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 12] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 13] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; [Figure 14] 1 is a schematic diagram showing an example of use of a rotating machine monitoring assistance system according to the present invention; DETAILED DESCRIPTION OF THE INVENTION

[0017] <Overall structure> A monitoring assistance system for a rotating device according to a first embodiment of the present invention will be described below with reference to FIGS. 1 to 3. FIG. Fig. 1 is a schematic diagram of a rotating device monitoring assistance system according to a first embodiment. As shown in Fig. 1, the rotating device monitoring assistance system includes a rotating device (pump) 1, a sensor 7 attached to the rotating device 1, and an external terminal 5 that monitors the measurements of the sensor 7. In the following description, the sensor 7 is a vibration sensor, but the sensor 7 may be any sensor that detects at least one of sound, temperature, humidity, etc.

[0018] Although the rotating device 1 in the rotating device monitoring assistance system shown in FIG. 1 is a pump, the type of rotating device 1 is arbitrary. The rotating device 1 may be, for example, a fan, a blower, an electric motor, or a compressor. The number of rotating devices 1 included in the rotating device monitoring assistance system may be one, or two or more. In other words, the rotating device monitoring assistance system has at least one rotating device 1.

[0019] The external terminal 5 is, for example, a mobile terminal device such as a smartphone, a tablet computer, or a notebook computer. In the following description, the external terminal 5 may be simply referred to as the terminal 5, and the description will be given taking the case where the external terminal 5 is a smartphone as an example.

[0020] The rotating device monitoring assistance system may have a cloud system 8 capable of transmitting and receiving data to and from an external terminal 5. The cloud system 8 may be established within a factory where the rotating device 1 is installed, or may be established outside the factory where the rotating device 1 is installed. In the following description, the cloud system 8 may be simply referred to as cloud 8.

[0021] The rotating equipment monitoring assistance system includes at least one sensor 7. The sensor 7 is a vibration sensor that measures vibrations that occur when the rotating equipment 1 is in operation. The sensor 7 is installed on the rotating equipment 1. A user of the rotating equipment 1 can determine whether or not there is a malfunction (for example, a breakdown) in the rotating equipment 1 based on the measurement values ​​of the sensor 7. A user of the rotating equipment 1 can also determine the need for maintenance based on the measurement values ​​of the sensor 7.

[0022] The sensor 7 can be connected to the external terminal 5 by wire or wirelessly. The sensor 7 can transmit and receive data including measurement values ​​of vibrations occurring in the rotating device 1 to and from the external terminal 5. The sensor 7 includes, for example, a memory (not shown) capable of storing the measurement values. The sensor 7 also includes a communication device (not shown) for transmitting and receiving data to and from the external terminal 5.

[0023] Data may be transmitted and received between the sensor 7 and the external terminal 5 via a repeater (not shown). The sensor 7 may be configured to be able to transmit and receive data to and from the cloud system 8. In this case, data from the sensor 7 and data from the external terminal 5 are transmitted and received via the cloud system 8.

[0024] Fig. 2 is a schematic diagram showing an example of the external terminal 5. As shown in Fig. 2, the external terminal 5 is, for example, a smartphone. The external terminal 5 includes a display 10 and a processing unit 11. The processing unit 11 includes a communication unit 15, which will be described later.

[0025] The communication unit 15 transmits and receives data to and from external devices such as the sensor 7 and the cloud system 8. The display 10 is, for example, a liquid crystal display device, an organic EL display device, or the like. For example, it has a function as a touch panel. In the following description, the display device 10 may be simply referred to as the screen of the external terminal 5.

[0026] The processing unit 11 processes information and displays it on the display 10. The processing unit 11 is, for example, a calculation processing unit such as a CPU or a GPU. The processing unit 11 causes the display 10 to display a recommended installation position for installing the sensor 7 in an appropriate installation position with an appropriate posture.

[0027] 3 is a schematic block diagram of a monitoring assistance system for rotating equipment, including an external terminal 5. With reference to FIG. 3, the monitoring assistance system for rotating equipment, including an external terminal 5, will be described in more detail.

[0028] The external terminal 5 includes a processing unit 11, a display 10, a communication unit 15, and a storage unit 16. The processing unit 11 includes an image acquisition unit 12, a discrimination unit 13a, and a display control unit 14. The discrimination unit 13a includes an attachment direction discrimination unit 17. That is, the image acquisition unit 12, the discrimination unit 13a, and the display control unit 14 are built into one external terminal 5. A discrimination unit 13b is also provided in the cloud system 8. In the following description, the discrimination unit 13a provided in the processing unit 11 may be referred to as the terminal-side discrimination unit 13a, and the discrimination unit 13b provided in the cloud system 8 may be referred to as the cloud-side discrimination unit 13b. Furthermore, the terminal-side discrimination unit 13a and the cloud-side discrimination unit 13b may be collectively referred to simply as the discrimination unit.

[0029] The image acquisition unit 12 is, for example, a camera, and has a function of acquiring an image of the rotating device 1. The image acquisition unit 12 may also have a function of acquiring an image of the rotating device 1 stored in the cloud system 8. The discrimination unit 13a has a function of discriminating a recommended installation position of the sensor 7 used to monitor the status of the rotating device 1 from an image of the rotating device 1 acquired by the image acquisition unit 12 using AI (artificial intelligence). The recommended installation position is a recommended installation position for the sensor 7 that is preset for each model. The preset recommended installation position for the sensor 7 may be set by machine learning. In this case, it is sufficient if an image of each model of the rotating device 1 is associated with the recommended installation position for that model in advance. The discrimination unit 13a uses AI to determine the model from the image of the rotating device 1 and discriminates the recommended installation position that is preset for that model. Therefore, information such as the recommended installation position of the sensor 7, the image of the rotating device 1, the model name (product number) of the rotating device 1, the type of sensor 7, the number of sensors 7 installed, and the installation direction of the sensors 7 (described later) is associated with each other. At least a representative image for each model of the rotating device 1 is stored as an image of the rotating device 1. This information is stored in the storage unit 16. As will be described later, information such as the installation positions of sensors 7 on rotating devices 1 used by other users is uploaded and stored for each model in the cloud system 8. Therefore, as shown in FIG. 3, the discrimination unit 13b on the cloud side may use AI to determine the model of the rotating device 1 from the image P1 of the rotating device acquired by the image acquisition unit 12, and determine a recommended installation position based on the positions where other users have installed sensors for that model, which are stored in the cloud 8. In the following description, AI may be referred to as an AI model. In the following description, the recommended installation position is part of the sensor installation information In, which will be described later. Furthermore, as will be described later, when a certain amount of information such as the installation location of sensors 7 used by other users is uploaded to the cloud, the AI ​​model of the cloud-side discriminator 13b may be reconstructed based on the uploaded information, the reconstructed AI model of the cloud-side discriminator 13b may be transmitted to the external terminal 5, and the AI ​​model of the terminal-side discriminator 13a of the external terminal 5 may be updated to the reconstructed AI model of the cloud-side discriminator 13b.

[0030] The mounting direction determination unit 17 has a function of using AI to determine the mounting direction of the installed sensor 7 based on an image S1 of the installed sensor 7 captured by a user. That is, based on the image S1 of the sensor 7 installed in the rotating device 1 acquired by the image acquisition unit 12, the AI ​​determines the mounting direction of the sensor 7 at the location where the sensor 7 is installed in the rotating device 1, taking into consideration information such as the model of the rotating device 1 and the location where the sensor 7 is installed in the rotating device 1. The display control unit 14 has a function of displaying the recommended installation position on an image of the rotating device 1. The objects that the display control unit 14 displays on the image of the rotating device 1 include not only the recommended installation position but also the installation direction of the sensor 7. Here, the display control unit 14 may use AR (Augmented Reality) to display the recommended installation position and installation direction of the sensor 7 on the image of the rotating device 1 displayed on the display 10, or may display them on the image (still image) of the rotating device 1 displayed on the display 10 without using AR. The storage unit 16 is a storage device that stores images of the rotating device 1, AI models, sensor installation information including recommended installation positions, and the like, and is a ROM, RAM, HDD, flash memory, or the like.

[0031] The image acquisition unit 12, the determination unit 13a including the mounting direction determination unit 17, and the display control unit 14 included in the processing unit 11 are each realized by a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components may be realized by hardware (including circuitry) such as an LSI (Large Scale Integration), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a GPU (Graphics Processing Unit), or may be realized by a combination of software and hardware. The program may be stored in the storage unit 16 in advance, or may be stored in a removable storage medium such as an SD card and installed in the storage unit 16 by attaching the storage medium to the external terminal 5.

[0032] <Sensor installation method> An example of installing a sensor 7 on a rotating device 1 using the rotating device monitoring assistance system having the above-described configuration will be described below with reference to FIGS.

[0033] A user who intends to install the sensor 7 on the rotating device 1 starts up an application or tool that has been pre-installed on the external terminal 5.

[0034] <Pump image capture> First, as shown in FIG. 4, the display control unit 14 causes the external terminal 5 to display on the display 10 of the external terminal 5 a message M1 meaning "Please take a picture from the side of the pump." Upon seeing this message M1, the user takes a photograph of the rotating device 1 from the side of the rotating device 1. As a result, an image P1 of the rotating device is input to the image acquisition unit 12, as shown in FIG.

[0035] <Check pump model> Next, as shown in FIG. 5, the display control unit 14 displays a message M2 meaning "Is this device a ●● type?" on the display 10 of the external terminal 5, and simultaneously displays buttons for selecting "Yes" and "No," for example, at the bottom of the display 10. This is an operation in which the discrimination unit 13a causes the display control unit 14 to display the most likely product number on the display 10 based on the image P1 of the rotating device input to the image acquisition unit 12, for confirmation by the user. The user presses either the "Yes" or "No" button. If the user presses "No," the discrimination unit 13a confirms with the user by displaying the second most likely product number in ●● of the message M2. This operation continues until "Yes" is input.

[0036] <Displaying the number of pumps> When "Yes" is selected for message M2 and the product number is confirmed, the display control unit 14 displays message M3, meaning "This device has four sensors," on the display 10 of the external terminal 5, as shown in FIG. 6, based on the information on the number of attached sensors 7 from among the series of information associated with the product number. At the same time, buttons for selecting "OK" and "Change" are displayed, for example, at the bottom of the display 10. Here, since there may be multiple attached numbers of sensors 7 even for the same model depending on the environment in which it is used, the number is displayed in order from the most likely attached number. If "OK" is selected, it is assumed that the number of sensors is four, and the screen proceeds to the screen for installing the sensors. On the other hand, if "Change" is selected, the second most likely attached number is displayed. This operation continues until "OK" is selected.

[0037] <Sensor connection> When "OK" is selected for message M3 and the number of sensors 7 to be installed is confirmed, the screen moves to the screen for installing each individual sensor 7. This example shows a case where four sensors are installed. In this case, as shown in Figure 7, message M4 is displayed on the display 10, meaning "Number of sensors: 1 / 4, Position: 1 (top of the pump side), BLE connection will be made. Please select the sensor to connect." At the same time, buttons for selecting "Connect" and "Change" are displayed, for example, at the bottom of the display 10. Here, the characters beginning with "MAC" displayed between message M4 and the buttons for selecting "Connect" and "Change" are the MAC addresses assigned to each individual sensor 7. When "Connect" is selected, the sensor at Position: 1 (top of the pump side) is connected. When "Change" is selected, the positions and MAC addresses of the other sensors are displayed. The following describes an example where "Connect" is selected for "Number of sensors: 3 / 4, Position: 3 (motor side surface)".

[0038] <Sensor mounting AR> As shown in FIG. 8 , the application causes the display 10 to display the same screen as when viewing an object through the viewfinder of the camera of the external terminal 5, as when taking a photograph with a camera. That is, the motor side of the rotating device 1 in front of the external terminal 5 is displayed on the display 10. At this time, the outline of the sensor 7 is displayed on the display (screen) 10 of the external terminal 5 using AR at the location where the sensor 7 should be installed, using the auxiliary line L. At this time, a "Done" button is displayed at the bottom of the display 10. For example, a message (not shown) may be displayed saying, "Install the sensor in the area surrounded by the auxiliary lines, and press the 'Done' button when installation is complete." The user installs the sensor 7 in the area surrounded by the auxiliary line L and presses the "Done" button. Here, to easily identify the installation direction of the sensor 7, the sensor 7 may be provided with markers such as white lines that indicate the installation direction (X-axis, Y-axis, and Z-axis of the sensor 7). The auxiliary line L may also be displayed with markers such as white lines that indicate the installation direction of the sensor 7. When the installation of the sensor 7 is complete, the user presses the "Done" button. As in this example, when there are multiple sensors, once the user presses the "Done" button to complete the installation of one sensor 7, the screen in Figure 7 is automatically returned to, where the user connects to another sensor 7, installs another sensor on the screen in Figure 8, and presses the "Done" button. This process is repeated for all sensors 7.

[0039] <Photo of the attached sensor> Once all sensors 7 have been installed, as shown in Figure 9, a message M5 appears saying, "Take a photo of sensors 3 / 4 from the side of the pump. Make sure the entire sensor is captured. Keep the smartphone about 20 cm away from the sensor when taking the photo." At the same time, an "OK" button appears at the bottom of the display 10. This is a screen requesting the user to take a photo of the sensors 7 installed on the rotating equipment 1. The user presses the "OK" button in response to the request. The screen then switches to the screen shown in Figure 10. In other words, the screen changes to the same screen as when looking at an object through a camera viewfinder, and a "Done" button appears at the bottom. The user takes a photo of the sensors 7 they want to photograph, and then presses the "Done" button. The content of message M5 may vary depending on the installation position of sensor 7. For example, the content may be similar to message M7 shown in Fig. 12, which means "Take a photo from the side of the pump. Take the photo with your smartphone at about 90 degrees to the ground. Make sure the entire sensor is visible. Keep the distance between the sensor and your smartphone about 20 cm when taking the photo."

[0040] <Sensor installation direction detection> When the user photographs the sensor 7 on the screen shown in FIG. 10 and presses the "Done" button, the screen switches to the screen shown in FIG. 11 for confirming the installation direction of the sensor 7. Specifically, a message M6 appears, stating, "Set as follows: Character string beginning with MAC. Installation location: Motor-side side. X-axis: Axial direction, Y-axis: Vertical direction, Z-axis: Circumferential direction." At the same time, buttons for selecting "Set" and "Change" are displayed at the bottom. This screen is where the AI ​​recognizes the installation direction of the sensor 7 based on the image captured in FIG. 10 and prompts the user to confirm the recognition result. Referring to FIG. 3, when the image P1 of the rotating device and the image S1 of the sensor, which were previously captured, are input to the image acquisition unit 12, the AI ​​of the terminal-side discrimination unit 13a determines the installation direction of the sensor 7. Alternatively, the image P1 of the rotating device and the image S1 of the sensor input to the image acquisition unit 12 may be uploaded to the cloud 8 via the communication unit 15, and the AI ​​of the cloud-side discrimination unit 13b may determine the installation direction of the sensor 7. If the installation direction displayed in Fig. 11 is acceptable, the user presses the "Set" button. If there are multiple sensors 7, pressing the "Set" button will cause the installation directions for the different sensors 7 to be confirmed on the screen displayed in Fig. 11. If it is necessary to change the installation direction, press the "Change" button, return to the screen in Figure 7 for installing the sensor 7, and install the sensor 7. This sensor 7 installation direction confirmation work is performed for all sensors 7. Alternatively, when the "Change" button is pressed, if the AI's recognition of the installation direction is incorrect, it may be possible to correct it. After the installation directions of all the sensors 7 have been confirmed, the screen of FIG. 7 may be returned to so that another sensor 7 can be installed.

[0041] <Check the sensor installation direction> When the "Set" button is pressed for the installation direction on the screen in FIG. 11 for all sensors 7, the display transitions to the confirmation screen shown in FIG. 13. This screen allows the user to finally confirm the installation direction of the confirmed sensors 7. If there are multiple sensors 7, the screen shown in FIG. 13 is displayed in a scrollable manner, allowing the user to confirm the installation directions of all sensors 7 by scrolling. The confirmation screen in FIG. 13 displays a message M7 stating, "Set the following: Character string beginning with MAC. Installation location: Top surface of pump side. X axis: Axial direction, Y axis: Circumferential direction, Z axis: Vertical direction." At the same time, buttons for selecting "Change," "Cancel," and "Set" are displayed at the bottom. If the displayed installation direction is acceptable, the user can press the "Set" button to write the information about the installation position and installation direction of the sensor 7 displayed in the message M7 to the sensor 7. In this case, the product number of the rotating device 1 and the information about the installation position and installation direction of the sensor 7 may be stored in the memory unit 16. If the "Cancel" button is pressed on the screen of FIG. 13, the screen shown in FIG. 5 will be displayed again, and the user can start over from identifying the pump model. By pressing the "Change" button on the screen in Figure 13, each item can be modified. This is intended to correct any errors in the AI's recognition of the installation direction or position. If there are multiple sensors 7, the checking work is performed for all of the sensors 7.

[0042] <Data upload> 13 is completed and the user moves to a location where communication is possible, information about the installation of the sensors 7 (sensor installation information) stored in the storage unit 16 is automatically uploaded to the cloud 8, as shown in FIG. 14. The sensor installation information In1, In2, ..., InX (when the number of sensors 7 is X, which is greater than two) includes the product number of the rotating device 1, information indicating the installation positions and mounting directions of the sensors 7 included in the message M7 (including the image S1 of the sensor 7), the number of sensors 7 installed, and the location of use. Here, the information indicating the installation positions and mounting directions of the sensors 7 is referred to as a recommended installation position. Note that the sensor installation information uploaded to the cloud 8 includes not only the rotating device 1 handled by the user described above, but also information about different rotating devices 1a and 1b handled by different users. When the amount of information uploaded to the cloud 8 reaches a certain level, the AI ​​model of the cloud 8 is reconstructed. That is, the AI ​​model of the cloud-side determination unit 13b is reconstructed to include sensor installation information including the number, installation positions, and mounting directions of the sensors 7 actually installed. Furthermore, the AI ​​model of the terminal-side discriminator 13a is updated in the same manner as the reconstructed AI model of the cloud-side discriminator 13b. An image of this series of steps is shown in Figure 14. The AI ​​model is reconstructed, for example, by associating images of multiple models of rotating devices 1 with sensor installation information for each model of the multiple rotating devices 1. Here, when the amount of information uploaded to cloud 8 reaches a certain amount, it may be when the number of uploaded sensor installation information reaches a certain number (for example, 50 or 100), or when the measurement period of sensor 7 reaches a certain period (for example, one week).

[0043] Therefore, the operations up to Fig. 13 can be performed using only the AI ​​model of the terminal-side discriminator 13a. Therefore, the operations up to Fig. 13 can be performed even in an environment where the external terminal 5 cannot communicate with the outside.

[0044] The rotating equipment monitoring assistance system having the above configuration can obtain recommended installation positions for sensors 7 that take into account sensor installation information for sensors 7 installed by others. Therefore, the installation positions and orientations of sensors 7 can be standardized for products of the same model. In other words, even for rotating equipment 1 of the same model, the installation positions and orientations of sensors 7 vary depending on the installer and installation location. As a result, there has been a problem in that the obtained measurement data cannot be linked to the type of sensor 7 or the product number of the rotating equipment 1, making it difficult to fully utilize the obtained data for analysis. However, according to this embodiment, sensors 7 can be installed in the same installation positions and orientations on rotating equipment 1 installed in different locations, thereby obtaining comparable measurement data that can be fully utilized for analysis. Furthermore, in this embodiment, it is possible to obtain recommended installation positions for the sensors 7 that take into account sensor installation information of sensors 7 installed by others, not only for vibration sensors but also for other types of sensors. Such a rotating equipment monitoring assistance system can not only detect and identify the type of abnormality occurring in rotating equipment manufactured by a company, but can also, for example, use the case of another company as a reference to help discover the problem in one's own company if a problem that has not yet occurred in one's own company has already occurred at another company. In other words, if a problem that has not yet occurred in one's own company has already occurred at another company, and the cause of the problem is known and how the measurement value of sensor 7 has changed, if the measurement value of one's own company's sensor 7 changes in the same way, it can be inferred that the problem occurred at the other company. Therefore, the system can be used to detect abnormalities in one's own rotating equipment 1, identify the type of abnormality, and consider countermeasures.

[0045] The embodiments of the present invention have been described above in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment and its variations, and includes designs within the scope of the gist of the present invention and mutual combinations of the embodiments and variations.

[0046] For example, in the above embodiment, the recommended installation position of the sensor 7 to be installed in the rotating device 1 was obtained by photographing the image P1 of the rotating device. However, this is not limited to this example. For example, an image of the nameplate of the rotating device 1 may be photographed, and the terminal-side discriminator 13a or the cloud-side discriminator 13b may use AI to obtain the recommended installation position of the sensor 7 to be installed in the rotating device 1 from the obtained nameplate image. In this case, it is sufficient that the images of the rotating devices 1 for each model, the nameplate images of the rotating devices 1 for each model, and the sensor installation information for each model of the rotating devices 1 are associated with each other. Furthermore, even if the images of the rotating devices 1 for each model, the nameplate images of the rotating devices 1 for each model, and the sensor installation information for each model of the rotating devices 1 are not associated with each other, the type or product number of the rotating device 1 may be identified by performing a web search or the like from the nameplate image, and the recommended installation position of the sensor 7 may be obtained using the sensor installation information associated with the product number. Furthermore, in the above embodiment, the mounting position and mounting direction of the sensor 7 have been described, but the mounting position and mounting direction of the battery box connected to the rotating device 1 to supply power to the sensor 7 via a wired or wireless connection may also be set by the rotating device monitoring assistance system of the present invention. Note that the battery box is not an essential component, and the sensor 7 itself may be equipped with a small battery, or power may be supplied from a commercial power source. Furthermore, when the sensor 7 or battery box is installed on the rotating device 1, it is usually installed on a flat surface of the rotating device 1 using the magnetic force of a magnet embedded in the sensor 7 or battery box. [Explanation of symbols]

[0047] 1, 1a, 1b Rotating equipment 5 External terminals 7 Sensors 8. Cloud 10 Display 11 Processing section 12 Image acquisition unit 13a Terminal side discrimination unit 13b Cloud-side discrimination unit 14 Display control unit 15 Communications Department 16 Memory section 17 Mounting direction detector L auxiliary line P1 Rotating Equipment Images In1 sensor installation information

Claims

1. an image acquisition unit that acquires an image of the rotating device; a determination unit that determines a recommended installation position of a sensor used for monitoring the state of the rotating equipment from the image using AI; a display control unit that displays the recommended installation position on the image; A monitoring assistance system for a rotating machine, comprising:

2. The rotating machine monitoring assistance system according to claim 1 , wherein the display control unit uses AR to display the recommended installation position on the image.

3. 3. The rotating equipment monitoring assistance system according to claim 1, wherein the discrimination unit has undergone machine learning in advance using images of a plurality of rotating equipment, and the image acquisition unit, the discrimination unit, and the display control unit are built into a single terminal.

4. 3. The rotating equipment monitoring assistance system according to claim 1, wherein the image acquisition unit acquires a nameplate image of the rotating equipment, the discrimination unit discriminates the recommended installation position from the nameplate image using AI, and the display control unit displays the recommended installation position on the image.

5. 3. The rotating machine monitoring assistance system according to claim 1, wherein the determining unit determines the recommended installation position based on a position where another user has installed the sensor.

6. 3. The rotating machine monitoring assistance system according to claim 1, wherein the determining unit uses the recommended installation position that is set in advance.

7. 4. The rotating equipment monitoring assistance system according to claim 3, wherein the discrimination unit further comprises an installation direction discrimination unit that uses AI to discriminate the installation direction of the installed sensor based on an image of the installed sensor taken by a user.

8. 8. The rotating equipment monitoring assistance system according to claim 7, wherein the display control unit displays an auxiliary line on the screen of the one terminal when a user takes an image of the installed sensor.

9. the terminal further comprises a communication unit; the determination unit is provided in the cloud and the terminal, 4. The rotating equipment monitoring assistance system of claim 3, wherein after installation of the sensor on the rotating equipment is completed, the communication unit automatically uploads information regarding the rotating equipment and the installation position and mounting direction of the sensor installed on the rotating equipment to a cloud at a location where communication is possible, and when a certain amount of the information is uploaded to the cloud, the communication unit reconstructs an AI model of the discrimination unit in the cloud based on the uploaded information, transmits the reconstructed AI model in the cloud to the terminal, and updates the AI ​​model stored in the terminal to the AI ​​model in the cloud.

10. 10. The rotating equipment monitoring assistance system according to claim 9, wherein the AI ​​model is reconstructed by associating a plurality of models of the rotating equipment with the installation positions and the mounting directions of the sensors for each of the plurality of models.

Images