Monitoring device, monitoring system, and monitoring method

Abstract

The objective is to reduce the information processing load required to monitor the operating status of bearings in real time based on detection data acquired for bearing monitoring. [Solution] The monitoring device 101 includes a vibration sensor 1 that detects the operating state of the bearing 12, a data acquisition unit 2 that acquires detection data from the vibration sensor 1 and creates a plurality of first block data by dividing the detection data into blocks, and a data reduction unit 3 that further divides each block in the plurality of first block data created by the data acquisition unit 2 into a plurality of second block data and reduces the number of detection data included in each block in the plurality of second block data.

Description

Technical Field

[0001] The present disclosure relates to a monitoring device, a monitoring system, and a monitoring method.

Background Art

[0002] Conventionally, the operating state of a bearing provided in a device or the like having a rotating shaft is monitored.

[0003] In Patent Document 1, it is disclosed that for a rotating machine, various detection data such as vibration data are collected, and the state of the rotating machine is diagnosed according to such detection data. In Patent Document 1, it is disclosed that various information is displayed according to the collected detection data for the rotating machine whose state is to be diagnosed.

[0004] In Patent Document 2, it is disclosed that for a drying device provided with a rotor that stirs sludge in a drying chamber, the operating state and the like can be monitored based on the data of operation parameters and state data collected from the drying device. In Patent Document 2, it is further disclosed that remote monitoring of the drying device is performed using a web application.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0006] In order for a monitor to quickly grasp the operating status of bearings installed in devices having rotating shafts, such as the aforementioned rotating machinery and drying equipment, it was necessary to process a large amount of detected data, for example, by processing the information so that the operating status can be monitored in real time according to the large amount of detected data acquired.

[0007] However, conventionally, it has not been easy to process information in a way that allows for real-time monitoring of the operating state of bearings based on the large amount of detection data acquired for bearing monitoring. This is because, in order to monitor the operating state of bearings in real time based on the large amount of detection data acquired, it is necessary to process the large amount of detection data at high speed, which overloads the information processing for monitoring.

[0008] The purpose of this disclosure is to reduce the information processing load required to monitor the operating state of a bearing in real time based on detection data acquired for bearing monitoring. [Means for solving the problem]

[0009] A monitoring device relating to a certain aspect of this disclosure includes a sensor for detecting the operating state of a bearing, a data acquisition unit for acquiring detection data from the sensor and creating a plurality of first block data by blocking the detection data, and a data reduction unit for further dividing each block in the plurality of first block data created by the data acquisition unit into a plurality of second block data and reducing the number of detection data contained in each block in the plurality of second block data.

[0010] A monitoring system relating to a certain aspect of this disclosure includes: a sensor for detecting the operating state of a bearing; a data acquisition unit for acquiring detection data from the sensor and creating a plurality of first block data by blocking the detection data; a data reduction unit for further dividing each block in the plurality of first block data created by the data acquisition unit into a plurality of second block data and reducing the number of detection data contained in each block data in the plurality of second block data; and a display unit for displaying the detection results of the operating state of the bearing according to the plurality of first block data from which the detection data has been reduced by the data reduction unit.

[0011] A monitoring method relating to a certain aspect of this disclosure includes the steps of: detecting the operating state of a bearing using a sensor; acquiring detection data from the sensor and creating a plurality of first block data by blocking the detection data; further dividing each block in the plurality of first block data into a plurality of second block data, reducing the number of detection data contained in each block in the plurality of second block data; and maintaining the plurality of first block data from which the number of detection data contained in each block in the plurality of second block data has been reduced.

[0012] Monitoring devices relating to other aspects of this disclosure further include the step of displaying the detection results of the operating state of a bearing in accordance with a plurality of first block data in which the number of detection data has been reduced and retained. [Effects of the Invention]

[0013] According to this disclosure, multiple first block data sets are created by blocking the detection data, each block in the multiple first block data sets is further divided into multiple second block data sets, and the number of detection data points included in each block in the multiple second block data sets is reduced. As a result, in this disclosure, the number of detection data points in each block in the multiple first block data sets is reduced, which reduces the information processing load required to monitor the operating state of a bearing in real time in response to the large amount of detection data acquired for bearing monitoring. [Brief explanation of the drawing]

[0014] [Figure 1] It is a block diagram showing the configuration of a monitoring system. [Figure 2] It is a block diagram showing a typical configuration of a processor included in each of the first information processing device, the second information processing device, and the third information processing device. [Figure 3] It is a diagram showing an example of acquisition of detection data by a data acquisition unit. [Figure 4] It is a diagram showing an example of reduction of detection data by a data reduction unit. [Figure 5] It is a diagram showing an example of holding of detection data by a data holding unit. [Figure 6] It is a diagram showing the data flow when an image of detection data is displayed by a data display unit. [Figure 7] It is a waveform diagram assuming that a waveform diagram is displayed by a data display unit without reducing the detection data by a data reduction unit for the detection data acquired by a data acquisition unit. [Figure 8] It is a waveform diagram showing a first example of displaying a waveform diagram by a data display unit after reducing the detection data by a data reduction unit for the detection data acquired by a data acquisition unit. [Figure 9] It is a waveform diagram showing a second example of displaying a waveform diagram by a data display unit after reducing the detection data by a data reduction unit for the detection data acquired by a data acquisition unit. [Figure 10] It is a diagram showing an example of a data display unit. [Figure 11] It is a flowchart showing a method for monitoring a bearing by a monitoring system.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following drawings, the same or corresponding parts are denoted by the same reference numerals, and the description thereof will not be repeated. Further, the modification examples described below may be selectively combined as appropriate.

[0016] <Overall Configuration of Monitoring System 100> FIG. 1 is a block diagram showing the configuration of the monitoring system 100. As shown in FIG. 1, the monitoring system 100 includes a vibration sensor 1, a first information processing device 10, a second information processing device 20, and a third information processing device 30.

[0017] Among the monitoring system 100, the vibration sensor 1, the first information processing device 10, and the second information processing device 20 constitute the monitoring device 101. The combination of the monitoring device 101 and the third information processing device 30 constitutes the monitoring system 100.

[0018] The third information processing device 30 may be an information processing device dedicated to the monitoring system 100, or may be a general-purpose information processing device. That is, the third information processing device 30 may be an information processing device provided in advance for use only in the monitoring system 100, or may be a general-purpose information processing device provided separately from the monitoring system 100 and available for use in systems other than the monitoring system 100.

[0019] FIG. 2 is a block diagram showing a representative configuration of the processor 9 included in each of the first information processing device 10, the second information processing device 20, and the third information processing device 30.

[0020] As shown in FIG. 2, the processor 9 includes a CPU (Central Processing Unit) 91, a RAM (Random Access Memory) 92, a storage 93, and a communication interface 94. The CPU 91, the RAM 92, the storage 93, and the communication interface 94 are connected via a bus 95.

[0021] The CPU 91 executes the program 90 stored in the storage 93. The RAM 92 provides a workspace for storing the data necessary for executing the program 90. The storage 93 consists of, for example, an HDD (Hard Disk Drive) or an SSD (Flash Solid State Drive).

[0022] Program 90 includes the programs necessary for the CPU 91 to execute the flowchart described in Figure 11. The communication interface 94 has input / output ports for inputting and outputting various signals.

[0023] The first information processing device 10, the second information processing device 20, and the third information processing device 30 shown in Figure 1 perform various information processing operations according to the program executed by the processor 9 shown in Figure 2.

[0024] The vibration sensor 1 in Figure 1 is a sensor that detects the vibration state of a bearing 12 supporting a rotating shaft in equipment equipped with a rotating shaft. In the monitoring system 100 in Figure 1, the first information processing device 10, the second information processing device 20, and the third information processing device 30 monitor the state of the bearing 12 by performing information processing as described below in response to the detection data from the vibration sensor 1.

[0025] The first information processing device 10 includes a data acquisition unit 2. The data acquisition unit 2 acquires detection data from the vibration sensor 1. The data acquisition unit 2 includes an AD converter 21, as described later, and is realized when the processor 9 in the first information processing device 10 executes a program to acquire the detection data from the vibration sensor 1.

[0026] The second information processing device 20 includes a data reduction unit 3 and a data retention unit 4. The data reduction unit 3 reduces the detected data by deleting a portion of the detected data acquired by the data acquisition unit 2 in the second information processing device 20. The data retention unit 4 retains the detected data after it has been reduced by the data reduction unit 3 by storing it in a data retention storage area in the storage 93.

[0027] The data reduction unit 3 is realized by the processor 9 in the second information processing device 20 executing a program that reduces the detection data acquired by the data acquisition unit 2. The data retention unit 4 is realized by the processor 9 in the second information processing device 20 executing a program that causes the detection data to be retained in the storage area of ​​the storage 93, in addition to the storage area of ​​the storage device 93 that stores the detection data after it has been reduced by the data reduction unit 3.

[0028] The second information processing device 20 also functions as a web server. The second information processing device 20 is connected to the internet, and the processor 9 executes a program that performs information processing as a web server, thereby realizing its function as a web server.

[0029] The second information processing device 20, when performing information processing as a web server, further includes a web application unit 8 that provides web applications to be executed on a browser by a web client such as the third information processing device 30. The web application unit 8 is realized when the processor 9 in the second information processing device 20 executes a program that provides web applications.

[0030] The web application provided by the web application unit 8 is a web application that includes an application for the data reduction unit 3 to reduce the detection data acquired by the data acquisition unit 2, and an application for the third information processing device 30 to display the detection data held in the data holding unit 4.

[0031] The web application provided by the web application unit 8 determines the number of detected data points after reduction by the data reduction unit 3. In other words, such a web application has the function of determining the number of detected data points to be reduced by the data reduction unit 3.

[0032] In the second information processing device 20, the functions of the data reduction unit 3 and the data retention unit 4 are implemented by a web application. Therefore, the data reduction unit 3 and the data retention unit 4 are included in the web application unit 8. However, in the second information processing device 20, the data reduction unit 3 and the data retention unit 4 may not be included in the web application unit 8.

[0033] The third information processing device 30 includes a data display unit 5. The data display unit 5 is implemented by an image display device included in the third information processing device 30 and a program executed to display an image on the image display device.

[0034] The data display unit 5 sends display capability data, which indicates the display capability when displaying images of detected data on the data display unit 5, to the data reduction unit 3 by executing the web application provided by the web application unit 8 on a web browser.

[0035] The image of the detected data is an image that shows the detection result of the vibration sensor 1, according to the detection data of the vibration sensor 1, such as the waveform diagram of the detection data of the vibration sensor 1 shown in Figure 8. The display capability data is data that shows the total number of pixels on which the image of the detected data can be displayed by the data display unit 5.

[0036] The web application determines the number of detected data points after reduction by the data reduction unit 3, based on the display capability data sent from the data display unit 5. In other words, the web application can determine the number of detected data points that the data reduction unit 3 will reduce. Another way to put it is that the web application can determine the number of detected data points that the data reduction unit 3 will leave in place during the reduction process.

[0037] The data reduction unit 3 reduces the number of detected data points obtained by the data acquisition unit 2 according to the number of detected data points after reduction by the data reduction unit 3, as determined in this manner.

[0038] The data display unit 5 reads the detection data stored in the data storage unit 4 by executing the web application provided by the web application unit 8 on a web browser. The data display unit 5 then displays the detection data read from the data storage unit 4 as the detection result of the operating state of the bearing 12, thereby displaying an image of the detection data of the vibration sensor 1 in real time.

[0039] The third information processing device 30 also has the function of running a web browser. In the third information processing device 30, the processor 9 executes a program that performs information processing as a web browser, thereby realizing the function of a web browser.

[0040] The third information processing device 30 may be a general-purpose computer having data display and web browser functions, or it may be a computer dedicated to the monitoring system 100 having data display and web browser functions. More specifically, such computers include, for example, personal computers and tablets that have data display and web browser functions.

[0041] The third information processing device 30, which has web browser functionality, accesses the second information processing device 20, which has web server functionality, as a web client and performs browsing.

[0042] When the third information processing device 30 accesses the second information processing device 20, it executes the web application provided by the web application unit 8 of the second information processing device 20 on a browser. The third information processing device 30 displays the detection data of the vibration sensor 1 in real time by having the data display unit 5 display the detection data read from the data holding unit 4 as the detection result of the operating state of the bearing 12.

[0043] In the third information processing device 30, the data display unit 5 executes a web application provided by the web application unit 8 by running a script capable of executing a web application in a web browser.

[0044] <Example of data acquisition by data acquisition unit 2> Figure 3 shows an example of data acquisition by the data acquisition unit 2. As shown in Figure 3, the data acquisition unit 2 includes an AD converter 21 and a block data creation unit 22.

[0045] The AD converter 21 converts the detection signal output from the vibration sensor 1 from an analog signal to digital detection data. As a result, the data acquisition unit 2 acquires a large amount of detection data from the vibration sensor 1. Although not shown in the diagram, the data acquisition unit 2 calculates characteristic values ​​such as RMS value and peak-to-peak value from the large amount of detection data acquired in this way.

[0046] The block data creation unit 22 creates multiple first block data 1 61, first block data 2 62, first block data 3 63, etc., by blocking the detection data 6 of the vibration sensor 1, which has been converted into digital data by the AD converter 21. The block data creation unit 22 is realized when the processor 9 in the second information processing device 20 executes a program that creates multiple first block data by blocking the detection data 6 of the vibration sensor 1.

[0047] In the following explanation, Block Data 1 61, Block Data 2 62, and Block Data 3 63 may sometimes be simply referred to as Block Data 61, 62, and 63, respectively.

[0048] Figure 3 shows an example in which the block data creation unit 22 creates multiple first block data sets 61, 62, 63… by treating the data acquired per second from the detection data 6 acquired by the data acquisition unit 2 from the vibration sensor 1 as one block. Each block in the multiple first block data sets 61, 62, 63… consists of, for example, 25,600 detection data points 6.

[0049] Furthermore, Figure 3 shows an example of creating multiple first block data sets 601, 602, 603… by blocking detection data 600 obtained by fast Fourier transforming the detection data 6 of the vibration sensor 1. Each block in such multiple first block data sets 601, 602, 603… consists of, for example, 12,800 data points of detection data 600.

[0050] <Example of data reduction by data reduction unit 3> Figure 4 shows an example of data reduction by the data reduction unit 3. In Figure 4, the method of reducing the detection data of the vibration sensor 1 by the data reduction unit 3 is shown in Figures 4(A) to 4(D).

[0051] In Figure 4, one first block data n (n=1, 2, 3…)60 is shown as a representative example of each first block data in the multiple first block data 61, 62, 63… shown in Figure 3.

[0052] Figure 4 shows an example in which the first block data 60, which has 25,600 data points as shown in Figure 3, is further divided into multiple second block data such as second block data 1 71, second block data 2 72, second block data 3 to second block data 254 73, second block data 255 78, and second block data 256 79, each consisting of 256 blocks, and the data for detecting the maximum value and the data for detecting the minimum value are selected and extracted for each block data with the combined number of data points from the two blocks.

[0053] In the following explanation, Block 2 Data 1 71, Block 2 Data 2 72, Block 2 Data 3 to Block 254 73, Block 2 Block 255 78, and Block 256 79 may be simply referred to as Block 2 Data.

[0054] As shown in Figure 4(A), the first block data 60 (first block data n (n=1,2,3…)) which represents each of the first block data 61,62,63… created in the data acquisition unit 2, has 25,600 data points.

[0055] For such first block data 60, the number of data points is reduced so that the visual characteristics of the vibration waveform (see Figure 9) shown by the first block data 60 are preserved. For example, if the total number of first block data 60 is 25,600, and the number of data points that retain the visual characteristics of the vibration waveform is, for example, 256, then the total number of first block data 60, 25,600, is divided by the number of remaining data points, 256. When such division is performed, the number of data points in each block of second block data 71, 72, 73, 78, and 79 becomes 100.

[0056] By performing this operation, as shown in Figure 4(B), the first block data 60 of one block is divided into multiple second block data such as 256 second block data 1 71, second block data 2 72, second block data 3 to second block data 254 73, second block data 255 78, second block data 256 79.

[0057] The area of ​​second block data 73 in Figure 4(B) is an area where the second block data with 252 blocks is omitted. As shown in Figure 4(B), each second block data consists of detection data with 100 data points.

[0058] In this case, for each second block of data, one detected data point is selected from 100 detected data points as the data point that retains the visual characteristics of the vibration waveform.

[0059] When selecting and extracting the maximum and minimum value detection data in the vibration waveform from the second block data 71, 72, 73, 78, 79 as shown in Figure 4(B), which retain the visual characteristics of the vibration waveform, the maximum and minimum value detection data are selected and extracted from a total of 200 detection data 6, such as two time-series adjacent second block data 74 (combination of second block data 71 and 72) and 75 (combination of second block data 78 and 79), as shown in Figure 4(C), as shown in Figure 4(D).

[0060] In this way, when selecting and extracting two detection data points—a maximum value detection data point and a minimum value detection data point—for each of the two second block data points, a total of 256 detection data points are selected in one first block data point as data that retains the visual characteristics of the vibration waveform, and the other detection data points are deleted.

[0061] As shown in Figure 4(D), the example of selecting and extracting the maximum value detection data and the minimum value detection data from the detection data in the second block data is not limited to selecting and extracting two detection data, the maximum value detection data and the minimum value detection data, from two second block data sets. It is also possible to select and extract two detection data, the maximum value detection data and the minimum value detection data, from one first block data set.

[0062] The web application determines that the amount of data retaining the visual characteristics of the vibration waveform increases as the total number of pixels in the data display unit 5, as indicated by the display capability data, increases. In this way, the data display unit 5 can display vibration waveforms as images with higher accuracy.

[0063] <Example of data retention by data retention unit 4> Figure 5 shows an example of how the data storage unit 4 stores detected data. In Figure 5, the data structure in which the data storage unit 4 stores detected data is shown.

[0064] As shown in Figure 5, the data holding unit 4 can hold multiple first block data 41, 42, 43... after the number of detected data has been reduced by the data reduction unit 3, using a data structure such as a data queue 40.

[0065] When the data storage unit 4 receives a request from the data display unit 5 to output display data, it outputs the first block data 41, 42, 43, etc. in order, starting with the first block data 41 that was stored first, using a FIFO (First In First Out) method.

[0066] <Data flow when displaying an image of detected data using the data display unit 5> Figure 6 shows the data flow when the data display unit 5 displays an image of the detected data.

[0067] The web application unit 8 of the second information processing device 20 provides a web application for displaying the detection data read from the data holding unit 4 as the detection result of the operating state of the bearing 12. This web application also has a function to determine the number of detection data after reduction by the data reduction unit 3.

[0068] When the third information processing device 30 accesses the second information processing device 20 via the web, the data display unit 5 executes a web application provided by the web application unit 8 by running a script 51 capable of executing a web application in the web browser 50.

[0069] When the web application is executed, the data display unit 5 of the third information processing device 30 sends display capability data from the data display unit 5 to the second information processing device 20. The web application determines the number of detected data points after reduction by the data reduction unit 3, or in other words, the number of detected data points to be reduced by the data reduction unit 3, based on the display capability data points sent from the data display unit 5.

[0070] For example, in a web application, data reduction relationship information is predetermined, showing the relationship between the total number of pixels indicated by the display capability data and the total number of detected data after reduction by the data reduction unit 3. In a web application, the data reduction relationship information is used to determine the total number of detected data after reduction from the data display unit 5 according to the display capability data. Specifically, the data reduction relationship information defines the relationship between the total number of pixels indicated by the display capability data and the total number of detected data after reduction such that the total number of detected data after reduction increases as the total number of detected data after reduction increases.

[0071] The web application, using data reduction-related information, determines the total number of reduced detection data from the data display unit 5 according to the display capability data. In this case, the total number of reduced detection data is determined to be such that, when the data display unit 5 displays an image of the detection data with the number of pixels indicated by the display capability data, at least the characteristics of the signal waveform are clearly shown in the image of the vibration waveform indicated by the detection data.

[0072] The data reduction unit 3 performs the detection data reduction as described in Figure 4, according to the number of detection data after reduction by the data reduction unit 3 determined in this way. For example, the data reduction unit 3 sets the number of second block data to create second block data according to the number of detection data after reduction by the data reduction unit 3 determined in this way, and deletes detection data other than the maximum value detection data and the minimum value detection data in each block of the second block data.

[0073] The data display unit 5 executes a web application provided by the web application unit 8, thereby sending data to the data holding unit 4 of the second information processing device 20 requesting the output of display data. In this case, the display data is the deleted detection data held in the data holding unit 4, as shown in Figure 5, and is used by the data display unit 5 to display the detection results of the vibration sensor 1.

[0074] When the data storage unit 4 receives data from the data display unit 5 requesting the output of display data, it sequentially outputs the first block data 41, 42, 43... which are detection data held in the data storage unit 4, in a FIFO (First-In, First-Out) manner, as shown in Figure 5, and sends them to the data display unit 5 as display data.

[0075] The data display unit 5 displays an image of the vibration waveform (see Figure 8) shown by the detection data in the first block data 41, 42, 43, etc., in response to the first block data 41, 42, 43, etc. being sent from the data holding unit 4. The vibration waveform displayed by the data display unit 5 is based on detection data with a reduced number of data points compared to the vibration waveform shown by the detection data acquired by the data acquisition unit 2 (see Figure 7).

[0076] Furthermore, as shown in Figure 3, if the web application creates multiple types of first block data for the detection data of the vibration sensor 1, such as first block data 61, 62, 63… obtained by dividing the detection data 6 directly into multiple blocks, and first block data 601, 602, 603… obtained by dividing the detection data 600 that has undergone a Fast Fourier Transform into multiple blocks, the application may reduce the detection data by type for these multiple types of first block data and send the display data to the data display unit 5 by type. In such cases, the data display unit 5 may switch the type of detection data to be displayed as an image, so that the detection results can be displayed according to the detection data selected from multiple types of detection data (detection data that has not undergone a Fast Fourier Transform, detection data that has undergone a Fast Fourier Transform).

[0077] <An example of an image of the detected data displayed on the data display unit 5> Figure 7 shows a waveform diagram assuming that the detection data acquired by the data acquisition unit 2 is not reduced by the data reduction unit 3 and the waveform diagram is displayed on the data display unit 5. The waveform diagram in Figure 7 is shown as a comparative example with the case where the detection data acquired by the data acquisition unit 2 is reduced by the data reduction unit 3 and then the waveform diagram is displayed on the data display unit 5.

[0078] In Figure 7, the vertical axis shows the level of the detected value from the vibration sensor 1, and the horizontal axis shows the elapsed time (seconds) of detection. Figure 7 also shows the waveform diagram when 25,600 detection data points acquired per second by the data acquisition unit 2 are not reduced.

[0079] Figure 8 is a waveform diagram showing a first example in which the waveform diagram is displayed on the data display unit 5 after the detection data acquired by the data acquisition unit 2 has been reduced by the data reduction unit 3. In Figure 8, as with Figure 7, the vertical axis shows the level of the vibration sensor's detection value, and the horizontal axis shows the elapsed detection time (seconds). Figure 8 shows the waveform diagram when 25,600 detection data points acquired in one second by the data acquisition unit 2 have been reduced to 256 detection data points by the data reduction unit 3, as explained in Figure 4.

[0080] As shown in Figure 8, when the detection data acquired by the data acquisition unit 2 is reduced by the data reduction unit 3, the number of detection data that needs to be processed at high speed in order to display the detection data in real time in the data display unit 5 is reduced, thereby reducing the information processing load for monitoring the bearing 12 in the monitoring system 100.

[0081] Figure 9 is a waveform diagram showing a second example in which the waveform diagram is displayed on the data display unit 5 after the detection data acquired by the data acquisition unit 2 has been reduced by the data reduction unit 3. In Figure 9, as in Figure 7, the vertical axis shows the level of the vibration sensor's detected value, and the horizontal axis shows the elapsed detection time (seconds). Figure 9 shows the waveform diagram of the detection data when 25,600 detection data points acquired in one second by the data acquisition unit 2 have been reduced by the data reduction unit 3 to 128 points, which is fewer than the 256 points shown in Figure 4.

[0082] As shown in Figure 9, the fewer the number of detection data points after reduction by the data reduction unit 3 when the detection data acquired by the data acquisition unit 2 is reduced, the more the information processing load for monitoring the bearing 12 in the monitoring system 100 can be reduced. However, the fewer the number of detection data points after reduction by the data reduction unit 3, the more difficult it becomes to show the characteristics of the detection data. Therefore, the number of detection data points after reduction by the data reduction unit 3 must be kept within a range where the characteristics of the detection data can still be shown.

[0083] <Example of data display unit 5> Figure 10 shows an example of a data display unit 5. The data display unit 5 shown in Figure 10 is, as an example, an image display device 800 of a personal computer.

[0084] In the data display unit 5 of Figure 10, the display area 80 of the image display device 800 displays images of the detected data display area 81, the start button 82, the stop button 83, the selected channel 84, the upper limit of the display range 85, the lower limit of the display range 86, the display time in seconds 87, the RMS value display area 88, and the peak-to-peak display area 89.

[0085] The detection data display area 81 is an area that displays the image of the detection data (see Figure 8, etc.) of the first block data sent from the data holding unit 4. The start button 82 is an icon image that is operated when the display of the detection data image in the detection data display area 81 is started. The stop button 83 is an icon image that is operated when the display of the detection data image in the detection data display area 81 is ended.

[0086] The data display unit 5 allows the third information processing device 30 to access multiple monitoring devices 101, select detection data sent from the multiple monitoring devices 101, and display images of the detection data in the detection data display area 81. The selection channel 84 is an icon image that is operated to select from multiple monitoring devices 101 (multiple channels) which monitoring device 101 (channel) will display images of the detection data in the detection data display area 81 when detection data is sent from multiple monitoring devices 101.

[0087] The upper limit of the display range 85 is an icon image that is manipulated to change the upper limit of the vertical axis display range in the image of the detected data displayed in the detected data display area 81. The lower limit of the display range 86 is an icon image that is manipulated to change the lower limit of the vertical axis display range in the image of the detected data displayed in the detected data display area 81.

[0088] The display time 87 is an icon image that is manipulated to change the display range (time) of the horizontal axis of the image of the detected data displayed in the detected data display area 81. The RMS value display area 88 is an area that displays the RMS value corresponding to the detected data displayed in the detected data display area 81. The peak-to-peak display area 89 is an area that displays the peak-to-peak value corresponding to the detected data displayed in the detected data display area 81.

[0089] The various icon images displayed in the display area 80 of the image display device 800 can be operated by a monitor using an operating device such as a mouse in the third information processing device 30, which is equipped with a data display unit 5.

[0090] <Example of monitoring method for monitoring system 100> Figure 11 is a flowchart illustrating the method for monitoring the bearing 12 by the monitoring system 100. Information processing related to the monitoring method shown in Figure 11 is performed by the processor of the first information processing device 10 (e.g., processor 9), the processor of the second information processing device 20 (e.g., processor 9), and the processor of the third information processing device 30 (e.g., processor 9) in the monitoring system 100.

[0091] In step S1, as explained using Figure 3, the data acquisition unit 2 acquires detection data from the vibration sensor 1. In step S2, as explained using Figure 3, the data acquisition unit 2 calculates the effective value and characteristic values ​​such as the peak-to-peak value of the acquired detection data.

[0092] In step S3, as explained using Figure 3, the data acquisition unit 2 creates first block data 61, 62, 63… by blocking the acquired detection data. In step S4, as explained using Figure 4, the data reduction unit 3 divides the first block data 61, 62, 63… created in step S3 into second block data 71, 72, 73, 74, 75, etc., reducing unnecessary detection data and thus reducing the number of detection data. In step S4, the data reduction unit 3 determines the number of detection data after reduction by the data reduction unit 3, in other words, the number of detection data to be reduced by the data reduction unit 3, according to the total number of pixels of the data display unit 5 indicated by the display capability data, and reduces the number of detection data.

[0093] In step S5, as explained with reference to Figure 5, the data holding unit 4 stores and holds the first block data 41, 42, 43, 44, 45… after reduction by the data reduction unit 3. In step S6, as explained with reference to Figure 6, the data holding unit 4 determines whether or not it has received data requesting the output of display data from the data display unit 5.

[0094] In step S6, if the data holding unit 4 determines that it has not received data requesting the output of display data, the process ends. On the other hand, if the data holding unit 4 determines in step S6 that it has received data requesting the output of display data, then, as explained in Figures 5 and 6, in step S7, the data holding unit 4 transmits the first block data it holds 41, 42, 43... in order from the first block data it held to the data display unit 5 as display data. Then, in step S8, as explained in Figure 6, the data display unit 5 displays the image of the detected data according to the received first block data 41, 42, 43... as explained in Figures 8 and 9. The process then ends.

[0095] <An example of the effects obtained by this embodiment> (1) As shown in Figures 3, 4, and 11, the monitoring device 101 creates a plurality of first block data 61, 62, 63… by blocking the detected data, and further divides each block in the plurality of first block data 61, 62, 63… into a plurality of second block data 71, 72, 73, 78, 79, thereby reducing the number of detected data contained in each block in the plurality of second block data 71, 72, 73, 78, 79. As a result, the monitoring device 101 reduces the number of detected data in each block in the first block data 61, 62, 63…, and thus reduces the information processing load required to monitor the operating state of the bearing 12 in real time in response to the large amount of detected data acquired for monitoring the bearing 12.

[0096] (2) As shown in Figures 4(D) and 11, the data reduction unit 3 selects characteristic data from each block in the multiple second block data 71, 72, 73, 78, and 79, and deletes the detection data that does not correspond to the selected characteristic data. As a result, the data reduction unit 3 deletes the detection data that does not correspond to the characteristic data, so that detection data that is highly necessary for monitoring the operating state of the bearing can be retained.

[0097] (3) As shown in Figures 4(D) and 11, the data reduction unit 3 selects the maximum value detection data and the minimum value detection data for each block as characteristic data for each block in the multiple second block data 71, 72, 73, 74, and 75. This allows the data reduction unit 3 to retain characteristic data from the detected data.

[0098] (4) As shown in Figures 6 and 11, when the data holding unit 4 receives a request from the third information processing device 30 (data display unit 5) to output multiple first block data 41, 42, 43, etc., it outputs the first block data 41, 42, 43, etc. that it has held. As a result, the data holding unit 4 can hold the first block data 41, 42, 43, etc. until the third information processing device 30 (data display unit 5) needs the first block data.

[0099] (5) As shown in Figure 5, when the data holding unit 4 outputs the held first block data 41, 42, 43..., it outputs the first block data in the order in which it was held first. This allows the data holding unit 4 to output the held first block data 41, 42, 43... in the time series of detection by the vibration sensor 1.

[0100] (6) As explained with reference to Figure 4, the data reduction unit 3 determines the number of blocks in the second block data 71, 72, 73, 74, 75 in each of the multiple first block data 61, 62, 63... created by the data acquisition unit 2, according to the total number of detected data included in each block data and the remaining number of detected data after deletion in each block data. This allows the data reduction unit 3 to easily determine the number of blocks in the second block data 71, 72, 73, 74, 75.

[0101] (7) As explained with reference to Figure 4, the data reduction unit 3 determines the number of blocks in the second block data 71, 72, 73, 74, and 75 by dividing the total number of detected data contained in each block data by the remaining number of detected data after deletion in each block data in the multiple first block data created by the data acquisition unit 2. In this way, the data reduction unit 3 can easily determine the number of blocks in the second block data 71, 72, 73, 74, and 75 by simple calculations.

[0102] (8) As shown in Figures 1 and 6, in the monitoring device 101, the second information processing device 20, which acts as a web server, includes a data reduction unit 3 and a data storage unit 4. This makes the data reduction unit 3 and the data storage unit 4 accessible from outside the monitoring device 101 via the web.

[0103] (9) As shown in Figure 1, the sensor is a vibration sensor 1 that detects vibrations of the bearing 12. This allows the monitoring device 101 to monitor the operating state of the bearing 12.

[0104] (10) As shown in Figures 3, 4, and 11, the monitoring system 100 creates a plurality of first block data 61, 62, 63… by blocking the detected data, and further divides each block in the plurality of first block data 61, 62, 63… into a plurality of second block data 71, 72, 73, 78, 79, thereby reducing the number of detected data contained in each block in the plurality of second block data 71, 72, 73, 78, 79. The monitoring system 100 then displays the detection results of the operating state of the bearing 12 according to the plurality of first block data 41, 42, 43… whose number of detected data has been reduced by the data reduction unit. As a result, the monitoring system 100 can reduce the information processing load required to monitor the operating state of the bearing 12 in real time according to the large amount of detected data acquired for monitoring the bearing 12, as the number of detected data in each block in the first block data 61, 62, 63… is reduced.

[0105] (11) As shown in Figures 1, 6, and 11, the monitoring system 100 includes a data reduction unit 3 and a data holding unit 4 as a second information processing device 20 acting as a web server. The data display unit 5 displays the detection results of the operating state of the bearing 12 according to the multiple first block data 41, 42, 43… held in the data holding unit 4 by executing a web application on a web browser 50. Thus, the data display unit 5 can acquire the multiple first block data 41, 42, 43… held in the data holding unit 4 and display the detection results of the operating state of the bearing 12 by connecting to the web server on the web as a web client, without directly connecting to the data holding unit 4.

[0106] (12) As shown in Figures 1, 6, and 11, in the monitoring system 100, the data display unit 5 displays the detection results of the operating status of the bearing 12 by running a script 51 that executes a web application. Thus, the data display unit 5 can display the detection results of the operating status of the bearing 12 by running the script 51 and executing a web application on the web browser 50.

[0107] (13) As shown in Figures 3, 4, and 11, the monitoring method in the monitoring device 101 creates a plurality of first block data 61, 62, 63… by blocking the detected data (steps S1 to S3), further divides each block in the plurality of first block data 61, 62, 63… into a plurality of second block data 71, 72, 73, 78, 79, reduces the number of detected data contained in each block in the plurality of second block data 71, 72, 73, 78, 79 (step S4), and retains a plurality of first block data (first block data 41, 42, 43…) from which the number of detected data contained in each block in the plurality of second block data 71, 72, 73, 78, 79 has been reduced (step S5). As a result, in the monitoring method of the monitoring device 101, the number of detection data for each block in the first block data 61, 62, 63... is reduced, thereby reducing the information processing load required to monitor the operating state of the bearing 12 in real time in response to the large amount of detection data acquired for monitoring the bearing 12.

[0108] (14) As shown in Figures 6 and 11, the detection results of the operating state of the bearing 12 are displayed according to the multiple first block data 41, 42, 43… that have been retained with a reduced number of detection data (step S8). This reduces the information processing load for monitoring the operating state of the bearing 12 in real time according to the large number of detection data acquired to monitor the bearing 12 by displaying the detection results of the operating state of the bearing 12 in the monitoring method of the monitoring system 100.

[0109] <Modified Example of Embodiment> (1) The aforementioned monitoring system 100 is an example in which the monitoring device 101 and the third information processing device 30 are configured as a series of devices. However, the monitoring system 100 is not limited to this, and the monitoring system 100 may also be a system in which the monitoring device 101 and the third information processing device 30 are configured as separate and independent devices. In other words, the third information processing device 30 may be a device equipped with a data display unit 5 dedicated to the monitoring system 100, or it may be a device equipped with a general-purpose data display unit 5 provided separately from the monitoring system 100.

[0110] (2) In the monitoring system 100 described above, the monitoring device 101 and the third information processing device 30 may be configured as an integrated unit, or the monitoring device 101 and the third information processing device 30 may be configured as separate units.

[0111] (3) The second information processing device 20 may be connected to the Internet as a web server, or it may be connected to an intranet located at the same location as the monitoring device 101 as a web server. If the second information processing device 20 is connected to the Internet, the third information processing device 30 will connect to the second information processing device 20 via the Internet using a web browser. If the second information processing device 20 is connected to an intranet, the third information processing device 30 will connect to the second information processing device 20 via the intranet using a web browser.

[0112] (4) The web browser 50 executed by the third information processing device 30 basically uses a general-purpose browser. However, the web browser 50 executed by the third information processing device 30 may be a dedicated web browser equipped with the function to execute web applications provided by the web application unit 8 from the second information processing device 20.

[0113] (5) In the embodiments described above, the number of detected data after reduction by the data reduction unit 3 is determined according to the total number of pixels on which the image of the detected data can be displayed in the data display unit 5. For example, the number of detected data after reduction by the data reduction unit 3 may be determined to be about 1 / 10 to 1 / 30 of the total number of pixels on which the image of the detected data can be displayed in the data display unit 5.

[0114] (6) In the embodiments described above, an example was shown in which the third information processing device 30 is connected to one monitoring device 101. However, the third information processing device 30 is not limited to this, and may be connected to multiple monitoring devices 101 so as to be able to acquire display data from multiple monitoring devices 101. In that case, the data display unit 5 included in the third information processing device 30 may be made capable of switching the monitoring device 101 that displays the image of the detected data, so as to be able to selectively display the images of the detected data from multiple vibration sensors 1.

[0115] [Summary of Embodiments] (Section 1) The monitoring device (monitoring device 101) described in Section 1 includes a sensor (vibration sensor 1) for detecting the operating state of a bearing (bearing 12), a data acquisition unit (data acquisition unit 2) for acquiring detection data from the sensor (vibration sensor 1) (step S1) and creating a plurality of first block data (first block data 61, 62, 63…) by dividing the detection data into blocks (step S3), and a data reduction unit (data reduction unit 3) for further dividing each block in the plurality of first block data (first block data 61, 62, 63…) created by the data acquisition unit (data acquisition unit 2) into a plurality of second block data (second block data 71, 72, 73, 74, 75) and reducing the number of detection data included in each block in the plurality of second block data (second block data 71, 72, 73, 74, 75) (step S4).

[0116] (Section 2) In the monitoring device (monitoring device 101) described in Section 1, the data reduction unit (data reduction unit 3) selects characteristic data from each block in the plurality of second block data (second block data 71, 72, 73, 74, 75) (Figure 4(D)), and deletes the detected data that does not correspond to the selected characteristic data (Step S4).

[0117] (Section 3) In the monitoring device (monitoring device 101) described in Section 2, the data reduction unit (data reduction unit 3) selects the maximum value detection data and the minimum value detection data for each block as characteristic data for each block in the plurality of second block data (second block data 71, 72, 73, 74, 75) (Figure 4(D)).

[0118] (Clause 4) In the monitoring device (monitoring device 101) described in any one of paragraphs 1 to 3, the monitoring device further comprises a data holding unit (data holding unit 4) capable of holding the plurality of first block data (first block data 41, 42, 43…) whose number of detected data has been reduced by the data reduction unit (data reduction unit 3) when the information processing device (third information processing device 30, data display unit 5) that displays the detection result of the operating state of the bearing (bearing 12) requests the output of the plurality of first block data (first block data 41, 42, 43…) (step S5), and the data holding unit (data holding unit 4) outputs the held first block data (step S7) when the information processing device (third information processing device 30, data display unit 5) requests the output of the plurality of first block data (first block data 41, 42, 43…) (step S6).

[0119] (Clause 5) In the monitoring device (monitoring device 101) described in paragraph 4, when the data holding unit (data holding unit 4) outputs the held first block data (first block data 41, 42, 43...), it outputs the first block data in order from the first block data that was held (step S6).

[0120] (Clause 6) In the monitoring device (monitoring device 101) described in paragraph 5, the data reduction unit (data reduction unit 3) determines the number of blocks in the second block data (second block data 71, 72, 73, 74, 75) in the plurality of first block data (first block data 61, 62, 63…) created by the data acquisition unit (data acquisition unit 2), according to the total number of detection data included in each block data and the remaining number of detection data after deletion in each block data.

[0121] (Clause 7) In the monitoring device (monitoring device 101) described in paragraph 6, the data reduction unit (data reduction unit 3) determines the number of blocks in the second block data (second block data 71, 72, 73, 74, 75) by dividing the total number of detection data included in each block data by the remaining number of detection data after deletion in each block data, in the plurality of first block data (first block data 61, 62, 63...) created by the data acquisition unit (data acquisition unit 2).

[0122] (Section 8) The monitoring system (monitoring system 100) described in Section 8 includes a sensor (vibration sensor 1) that detects the operating state of a bearing (bearing 12), a data acquisition unit (data acquisition unit 2) that acquires detection data from the sensor (vibration sensor 1) (step S1) and creates a plurality of first block data (first block data 61, 62, 63…) by blocking the detection data (step S3), and each block in the plurality of first block data (first block data 61, 62, 63…) created by the data acquisition unit (data acquisition unit 2) Furthermore, the system includes a data reduction unit (data reduction unit 3) that divides the data into multiple second block data (second block data 71, 72, 73, 74, 75) and reduces the number of detection data contained in each block of the multiple second block data (second block data 71, 72, 73, 74, 75) (step S4), and a data display unit (data display unit 5) that displays the detection results of the operating state of the bearing (bearing 12) according to the multiple first block data (first block data 41, 42, 43...) from which the number of detection data has been reduced by the data reduction unit.

[0123] (Section 9) The monitoring system (monitoring system 100) described in Section 8 further comprises a data holding unit (data holding unit 4) capable of holding the plurality of first block data (first block data 41, 42, 43…) whose number of detected data has been reduced by the data reduction unit (data reduction unit 3), and a web server (second information processing device 20 as a web server), wherein the web server (second information processing device 20 as a web server) includes the data reduction unit (data reduction unit 3) and the data holding unit (data holding unit 4), and the data display unit (data display unit 5) displays the detection result of the operating state of the bearing (bearing 12) according to the plurality of first block data (first block data 41, 42, 43…) held in the data holding unit (data holding unit 4) by executing a web application that runs on a web browser (web browser 50).

[0124] (Clause 10) In the monitoring system (monitoring system 100) described in paragraph 9, the data display unit (data display unit 5) displays the detection result of the operating state of the bearing (bearing 12) by running a script (script 51) that executes the web application.

[0125] (Clause 11) The monitoring method described in Clause 11 includes the steps (S1 to S3) of acquiring detection data from a sensor that detects the operating state of a bearing (bearing 12) and creating a plurality of first block data (first block data 61, 62, 63…) by dividing the detection data into blocks; the step (S4) of further dividing each block in the plurality of first block data (first block data 61, 62, 63…) into a plurality of second block data (second block data 71, 72, 73, 74, 75) and reducing the number of detection data contained in each block in the plurality of second block data (second block data 71, 72, 73, 74, 75); and the step (S5) of holding the plurality of first block data (first block data 41, 42, 43…) from which the number of detection data contained in each block in the plurality of second block data (second block data 71, 72, 73, 74, 75) has been reduced.

[0126] (Clause 12) The monitoring method described in paragraph 11 further comprises a step (step S8) of displaying the detection result of the operating state of the bearing (bearing 12) in accordance with the plurality of first block data (first block data 41, 42, 43…) that have been retained with a reduced number of detection data.

[0127] (Clause 13) The monitoring device (monitoring device 101) described in any one of paragraphs 1 to 7 further comprises a web server (second information processing device 20 as a web server), the web server (second information processing device 20 as a web server) includes the data reduction unit (data reduction unit 3) and the data holding unit (data holding unit 4).

[0128] (Article 14) In the monitoring device (monitoring device 101) described in any one of paragraphs 1 to 3, the sensor is a vibration sensor (vibration sensor 1) that detects vibration of the bearing (bearing 12).

[0129] (Clause 15) In the monitoring device (monitoring device 101) described in paragraph 4, the data reduction unit (data reduction unit 3) determines the number of reduced detection data in accordance with information indicating the total number of pixels that can display the image of the detection result sent from the information processing device (third information processing device 30).

[0130] (Clause 16) In the monitoring system described in paragraph 10, the data reduction unit (data reduction unit 3) determines the number of reduced detection data in accordance with information indicating the total number of pixels that can be displayed in the image of the detection result sent from the data display unit (data display unit 5).

[0131] The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of this disclosure is indicated by the claims rather than by the description of the embodiments above, and all modifications within the meaning and scope equivalent to the claims are intended to be included. [Explanation of Symbols]

[0132] 101 Monitoring device, 12 Bearing, 1 Vibration sensor, 2 Data acquisition unit, 60, 61, 62, 63, 41, 42, 43, 44, 45 First block data, 71, 72, 73, 74, 75 Second block data, 3 Data reduction unit, 30 Third information processing unit, 4 Data holding unit, 5 Data display unit, 100 Monitoring system.

Claims

1. A sensor that detects the operating state of the bearing, A data acquisition unit acquires detection data from the aforementioned sensor and creates a plurality of first block data by blocking the detection data, A monitoring device comprising: a data reduction unit that further divides each block in the plurality of first block data created by the data acquisition unit into a plurality of second block data, and reduces the number of detection data contained in each block in the plurality of second block data.

2. The monitoring device according to claim 1, wherein the data reduction unit selects characteristic data from each block in the plurality of second block data and deletes detection data that does not correspond to the selected characteristic data.

3. The monitoring device according to claim 2, wherein the data reduction unit selects, as characteristic data of each block in the plurality of second block data, maximum value detection data and minimum value detection data for each block.

4. The information processing device that displays the detection result of the operating state of the bearing requests the output of the plurality of first block data. The system further comprises a data holding unit capable of holding the plurality of first block data whose number of detected data has been reduced by the data reduction unit, The monitoring device according to any one of claims 1 to 3, wherein the data holding unit outputs the held first block data when the information processing device requests the output of the plurality of first block data.

5. The monitoring device according to claim 4, wherein when the data holding unit outputs the held first block data, it outputs the first block data in the order in which it was held first.

6. The monitoring device according to claim 5, wherein the data reduction unit determines the number of blocks in the second block data in the plurality of first block data created by the data acquisition unit, according to the total number of detection data included in each block data and the remaining number of detection data after deletion in each block data.

7. The monitoring device according to claim 6, wherein the data reduction unit determines the number of blocks in the second block data by dividing the total number of detection data included in each block data by the remaining number of detection data after deletion in each block data in the plurality of first block data created by the data acquisition unit.

8. A sensor that detects the operating state of the bearing, A data acquisition unit acquires detection data from the aforementioned sensor and creates a plurality of first block data by blocking the detection data, A data reduction unit further divides each block in the plurality of first block data created by the data acquisition unit into a plurality of second block data, and reduces the number of detection data included in each block data in the plurality of second block data. A monitoring system comprising: a data display unit that displays the detection result of the operating state of the bearing in accordance with the plurality of first block data whose number of detected data has been reduced by the data reduction unit.

9. A data holding unit capable of holding the plurality of first block data whose number of detected data has been reduced by the data reduction unit, Furthermore, equipped with a web server, The web server includes the data reduction unit and the data retention unit, The monitoring system according to claim 8, wherein the data display unit displays the detection result of the operating state of the bearing according to the plurality of first block data held in the data holding unit by running a web application on a web browser.

10. The monitoring system according to claim 9, wherein the data display unit displays the detection results of the operating state of the bearing by running a script that executes the web application.

11. The steps include acquiring detection data from a sensor that detects the operating state of a bearing, and creating multiple first block data by blocking the detection data, The steps include dividing each block in the plurality of first block data into a plurality of second block data, and reducing the number of detection data included in each block in the plurality of second block data, A monitoring method comprising the steps of: holding a plurality of first block data in which the number of detection data contained in each block of the plurality of second block data has been reduced.

12. The monitoring method according to claim 11, further comprising the step of displaying the detection result of the operating state of the bearing in accordance with the plurality of first block data that have been retained with a reduced number of detection data.

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