Noise measuring device and computer program
The noise measurement apparatus addresses the challenge of recording transient motor conditions by integrating mode switching and voice recognition, allowing for efficient and accurate data analysis of changing motor noise data.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- TOSHIBA IND PROD & SERVICES CORP
- Filing Date
- 2022-03-18
- Publication Date
- 2026-05-12
AI Technical Summary
Existing noise measurement systems struggle to accurately record and analyze transient changes in motor drive conditions such as rotation speed and load factor due to the complexity of manual input methods and the inability to associate these conditions with time-series noise data.
A noise measurement apparatus and computer program that integrates a mode switching unit, sound signal input, data storage, and voice recognition to record and store analysis conditions dynamically, enabling seamless switching between noise measurement and condition input modes, and applying high-frequency signals to distinguish mode transitions.
Facilitates easy and accurate recording of changing motor conditions in a time-series manner, simplifying data analysis by separating noise data from analysis conditions, even under transient operational changes, and enhancing mode recognition through voice input and filtering.
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Abstract
Description
Technical Field
[0001] Embodiments of the present invention relate to an apparatus for measuring the noise of a rotating device and a program executed by a computer constituting the apparatus.
Background Art
[0002] When measuring and analyzing the noise generated by a rotating device such as a motor, it is necessary to separately input analysis conditions such as motor specifications and drive conditions to the measuring device. Conventionally, information on analysis conditions has been recorded on media such as a copy of the motor nameplate or a photograph taken thereof, and the conditions have been read and input therefrom. Therefore, there has been a risk of input errors, and the analysis work has been complicated. Thus, in recent years, information has been recorded on media that can be read by electronic devices such as OCR (Optical Cord Reader) and QR code (registered trademark) to enable easy input.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] However, conditions that change over time, such as the rotation speed and load factor of a motor, cannot be recorded in association with the time series of noise data. For this reason, there has been a problem that it is difficult to analyze noise in a situation where the drive conditions of the motor change transiently.
[0005] Therefore, provided are a noise measurement apparatus and a computer program that can record analysis conditions that change over time in association with noise data when performing noise analysis.
Means for Solving the Problems
[0006] According to the noise measuring device of the embodiment, A mode switching unit that switches between noise measurement mode and condition input mode, A sound signal input unit that inputs the noise generated by the rotating machinery to be analyzed, and the analysis conditions for the said noise, A data storage unit where the input audio is stored as data, In the noise measurement mode, the audio input is stored in the data storage unit as noise data. A storage control unit that stores the audio input in the condition input mode as data for the analysis conditions in the data storage unit. 、 A low-pass filter that filters the signal input from the aforementioned sound signal input section, The output terminal of this low-pass filter is equipped with a signal application unit that applies a high-frequency signal exceeding the cutoff frequency of the filter. The mode switching unit switches modes when the high-frequency signal is input. [Brief explanation of the drawing]
[0007] [Figure 1] This is a functional block diagram illustrating the configuration of the noise measuring device in the first embodiment. [Figure 2] Flowchart showing data recording process [Figure 3] A diagram showing the waveform of the measured noise data. [Figure 4] This diagram shows the data structure stored in RIFF format in the data storage unit. [Figure 5] Flowchart showing the data retrieval process [Figure 6] This is a second embodiment, and the figure shows an example of the display in keyword registration mode. [Figure 7] Flowchart showing the keyword registration process [Modes for carrying out the invention]
[0008] (First Embodiment) As shown in Figure 1, the noise measuring device 1 of this embodiment is functioned by a microcomputer executing an application program downloaded to, for example, a smartphone. Analog signals such as noise generated by a rotating motor during operation and voices emitted by workers are input to the noise measuring device 1 via microphone 2 and converted into digital data by A / D converter 3. The sampling rate of A / D converter 3 is set to, for example, 50kHz. The converted data is input to the RIFF (Resource Interchange File Format) format generation unit 4 and the signal processing unit 5. Microphone 2 corresponds to the audio signal input unit.
[0009] The signal processing unit 5 filters the data input from the A / D converter 3 using a digital low-pass filter 6 with a cutoff frequency of, for example, 10 kHz. A signal application unit 7 is located on the output terminal side of the filter 6, and the signal application unit 7 applies a signal containing frequency components exceeding 10 kHz to the output data of the filter 6. In this embodiment, the above signal is defined as a "high-frequency signal," and its frequency is set to, for example, 20 kHz.
[0010] The data output by the signal processing unit 5 is input to the RIFF format generation unit 4. The RIFF format generation unit 4 converts the input audio signal data into a RIFF format file. The converted file is stored in the data storage unit 8. The speech recognition processing unit 9 performs FFT (First Fourier Transform) processing and other operations on the audio signal data stored in the data storage unit 8, and then performs speech recognition processing.
[0011] As is well known, the display unit 10 of the smartphone also has a touch panel function, and operation buttons such as "Start", "Recording", "Condition", "Image", and "Stop" are displayed as images. "Recording" and "Condition" are mode switching buttons. The mode switching time recording unit 11 inputs time data to the RIFF format generation unit 4 in order to record the time at the timing when the operation button "Recording" on the display unit 10 is operated and then "Condition" is operated. The imaging data acquisition unit 12 inputs the data of the image captured by an imaging element (not shown) provided in the smartphone to the RIFF format generation unit 4 when the operation button "Image" on the display unit 10 is operated.
[0012] Also, when a trigger signal is input to the signal application unit 7 from the mode switching time recording unit 11 to record the time at the timing when "Condition" is operated, the signal application unit 7 applies a high-frequency signal to the output data of the filter 6.
[0013] Next, the operation of this embodiment will be described. FIG. 2 is a flowchart showing the content of the recording process. When the "Start" button on the display unit 10 is pressed by the operator, the measurement starts. Then, when the "Recording" button is pressed (S1; YES), the recording process of the sound signal input from the microphone 2 is performed (S2). If the noise of the motor or the like is recorded, the digital data of the sound signal; the noise data is stored in the data storage unit 8. Note that what corresponds to the storage control unit that stores data in the data storage unit 8 is a microcomputer mounted on the smartphone.
[0014] If the "Condition" button is pressed (S3; YES), the mode switching time recording unit 11 stores the pressing timing as the condition timing; the mode switching time, and then (S8) returns to step S2. If the "Image" button is pressed (S4; YES), the pressing timing is stored as the image timing, and then (S9) returns to step S2.
[0015] Here, the state of repeating the loop of step S2 → S3 → S8 → S2 →... corresponds to the "condition input mode". Also, the state of repeating the loop of steps S2 to S5 corresponds to the "noise measurement mode". And step S3 corresponds to the mode switching section.
[0016] If the "End" button is pressed (S5; YES), the process proceeds to the file creation process (S6). Here, the mode switching time; condition timing and image timing obtained in steps S8 and S9 are inserted into the noise data; waveform data stored in the data storage unit 8. Then, if there is a keyword added to the keyword file in the keyword registration process described later, the voice data of that keyword is stored in the data storage unit 8 (S7).
[0017] The upper diagram in FIG. 3 shows an example of the waveform data of the sound signal. In the figure, (0) and (1) indicate that the "condition input mode" is entered by pressing the "condition" button, and then the process proceeds to the "noise measurement mode". Here, the motor is operated at a constant rotational speed. Subsequently, (2) indicates that the "condition input mode" is entered again, and then the process proceeds to the "noise measurement mode". Here, the rotation direction of the motor is switched between forward and reverse alternately.
[0018] The lower diagram in FIG. 3 shows the frequency components of the waveform data on the vertical axis. The frequency components of the noise data generated when the motor is operating are higher than 1 kHz and lower than 10 kHz. Therefore, in the signal generation unit 5, a high-frequency signal with a frequency of 20 kHz is applied to the output terminal of the low-pass filter 6 to obtain a mode switching signal. The voice recognition processing unit 9 detects the mode switching signal by performing FFT processing on the noise data.
[0019] FIG. 4 shows the data configuration of the file stored in the data storage unit 8 in the RIFF format. A chunk, which is a logical unit of data, consists of a chunk identifier; ID, the data body, and the size of the data. Also, the data body is an aggregate of a plurality of sub-chunks. Each sub-chunk is, for example, as follows. Subchunk A: Noise data Subchunk B: Mode switching signal Subchunk C: Mode switching information (1) Subchunk D: Image data • Subchunk E: Mode switching information (2) Subchunk F: Keyword audio Furthermore, the "mode switching time" in subchunks C and E includes the start and end points of the measurement, allowing us to determine the measurement period.
[0020] Figure 5 shows the process of reading signals and files stored in the data storage unit 8. When the operator presses the "Start Reading" button (not shown) on the display unit 10, reading begins (S11). First, when the beginning of the condition signal is read (S12; YES), the "condition" is decoded (S16). That is, the voice recognition processing unit 9 performs voice recognition processing to decode conditions such as "rotation speed" input by the operator's voice (S17). Then, the process returns to step S11.
[0021] If "NO" is determined in step S12, the reading of noise data begins (S13). Once the reading is complete (S14; YES), the condition timing and image timing are read from the waveform data (S15). After all reading is complete, the speech recognition processing unit 9 performs noise analysis. In the noise analysis process, the speech recognition processing unit 9 also determines whether the noise data contains "abnormal noises" that indicate a motor malfunction.
[0022] As described above, according to this embodiment, in the noise measuring device 1, the mode switching unit switches between noise measurement mode and condition input mode, and the microphone 2 inputs the noise generated by the motor to be analyzed and the analysis conditions for the noise via voice. The data storage unit 8 stores the voice input in noise measurement mode as noise data, and the voice input in condition input mode as analysis condition data.
[0023] In other words, at the site where motor noise measurements are being taken, the operator can easily record the conditions related to noise analysis by voice, separating them from the noise data and storing them in the noise measurement device 1. Therefore, even under conditions where the motor's operating state and control parameters change transiently, it becomes possible to store the measurement conditions in a time-series manner, making data analysis easier.
[0024] Furthermore, the noise measuring device 1 includes a signal application unit 7 that filters the signal input from microphone 2 via A / D converter 3 using a digital low-pass filter 6 and applies a high-frequency signal exceeding the cutoff frequency of filter 6 to the output terminal of filter 6. When a high-frequency signal is input, the noise measuring device 1 switches modes. This makes it possible to reliably separate and recognize the signal for switching modes from the noise data.
[0025] (Second Embodiment) In the following description, parts identical to those in the first embodiment are denoted by the same reference numerals and their descriptions are omitted, while the differences are described. Figure 6 shows an example of the display of the display unit 10 in keyword registration mode, which corresponds to condition registration mode. As an example of analysis conditions, displays 21 such as "rotational speed," "number of poles," "power supply frequency," "inverter command," "pump," "fan," and "gear" are displayed as images along with selection buttons 22. Note that "pump," "fan," and "gear" are types of load devices driven by motors.
[0026] Next, the operation of the second embodiment will be described. Figure 7 is a flowchart showing the process of registering keywords by speech recognition. When an operator touches any of the buttons 22 with their finger, a button event occurs (S20) and the process is executed. The reason for providing the selection buttons 22 is to improve the speech recognition rate by the speech recognition processing unit 9.
[0027] If the operator recognizes the audio input into microphone 2 along with the touch operation as "rotation speed" (S21; YES), the keyword "rotation speed" is stored in buffer memory, etc. (S22). Similarly, if the audio input into microphone 2 is recognized as "number of poles" (S23; YES), the keyword "number of poles" is stored (S24), and if the audio is recognized as "power supply frequency" (S25; YES), the keyword "power supply frequency" is stored (S26). All diagrams are omitted, but if the audio is recognized as "number of gear teeth" (S28; YES), the keyword "number of gear teeth" is stored (S29).
[0028] Once the registration process is complete (S30; YES), the audio data of the keywords is output as a file to the data storage unit 8 (S32) in order to add or rewrite (S31). In this way, the keywords of the analysis conditions stored in the data storage unit 8 are used by the speech recognition processing unit 9 when recognizing the analysis conditions that the operator input by voice when measuring noise data in steps S16 and S17 of the first embodiment.
[0029] As described above, according to the second embodiment, the noise measuring device 1 is configured to be switchable to a condition registration mode, and the voice recognition unit 9 is configured to register analysis conditions input by voice as voice recognition patterns in the condition registration mode. The voice recognition processing unit 9 recognizes the motor rotation speed, number of poles, and power supply frequency as analysis conditions from the data stored in the data storage unit 9. The voice recognition processing unit 9 also recognizes the type of load device driven by the motor as an analysis condition. As a result, the operator can easily register analysis conditions by voice.
[0030] (Other embodiments) The analysis conditions are not limited to those exemplified. The file format used to store the converted data is not limited to RIFF. The sampling rate of the A / D converter is not limited to 50kHz. The cutoff frequency of the low-pass filter is not limited to 10kHz; it can be set appropriately according to the individual design. Noise measurement devices are not limited to those implemented by smartphone application programs.
[0031] While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These novel embodiments can be implemented in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims of the invention and its equivalents. [Explanation of Symbols]
[0032] In the drawing, 1 is a noise measuring device, 2 is a microphone, 3 is an A / D converter, 5 is a signal processing unit, 6 is a digital low-pass filter, 7 is a signal application unit, 8 is a data storage unit, 9 is a speech recognition processing unit, 10 is a display unit, 11 is a mode switching time recording unit, and 12 is a shooting data acquisition unit.
Claims
1. A mode switching unit that switches between noise measurement mode and condition input mode, A sound signal input unit that inputs the noise generated by the rotating machinery to be analyzed, and the analysis conditions for the said noise, A data storage unit where the input audio is stored as data, In the noise measurement mode, the audio input is stored in the data storage unit as noise data. A storage control unit that stores the audio input in the condition input mode as data for the analysis conditions in the data storage unit, A low-pass filter that filters the signal input from the aforementioned sound signal input section, The output terminal of this low-pass filter is equipped with a signal application unit that applies a high-frequency signal exceeding the cutoff frequency of the filter. The mode switching unit is a noise measuring device that switches modes when the high-frequency signal is input.
2. A mode switching unit that switches between a noise measurement mode and a condition input mode, A sound signal input unit that inputs the noise generated by the rotating machinery to be analyzed, and the analysis conditions for the said noise, A data storage unit where the input audio is stored as data, In the noise measurement mode, the audio input is stored in the data storage unit as noise data. A storage control unit that stores the audio input in the condition input mode as data for the analysis conditions in the data storage unit, The system includes a voice recognition unit that recognizes the rotation speed, number of poles, and power supply frequency of a rotating machine as analysis conditions from the data stored in the data storage unit, The mode switching unit is also configured to allow switching to the condition registration mode. The voice recognition unit is a noise measuring device that, in the condition registration mode, can register analysis conditions input by voice as voice recognition patterns.
3. A mode switching unit that switches between noise measurement mode and condition input mode, A sound signal input unit that inputs the noise generated by the rotating machinery to be analyzed, and the analysis conditions for the said noise, A data storage unit where the input audio is stored as data, In the noise measurement mode, the audio input is stored in the data storage unit as noise data. A storage control unit that stores the audio input in the condition input mode as data for the analysis conditions in the data storage unit, The system includes a voice recognition unit that recognizes from the data stored in the data storage unit that the noise is an abnormal sound and that the voice during the operating period is the analysis condition. The mode switching unit is also configured to allow switching to the condition registration mode. The voice recognition unit is a noise measuring device that, in the condition registration mode, can register analysis conditions input by voice as voice recognition patterns.
4. A mode switching unit that switches between noise measurement mode and condition input mode, A sound signal input unit that inputs the noise generated by the rotating machinery to be analyzed, and the analysis conditions for the said noise, A data storage unit where the input audio is stored as data, In the noise measurement mode, the audio input is stored in the data storage unit as noise data. A storage control unit that stores the audio input in the condition input mode as data for the analysis conditions in the data storage unit, The system includes a voice recognition unit that recognizes the type of sound of the load device driven by the rotating machine from the data stored in the data storage unit as the analysis condition, The mode switching unit is also configured to allow switching to the condition registration mode. The voice recognition unit is a noise measuring device that, in the condition registration mode, can register analysis conditions input by voice as voice recognition patterns.
5. This is performed by a computer that constitutes a noise measuring device, which includes an audio signal input unit that inputs the noise generated by the rotating machinery to be analyzed and the analysis conditions of the noise in audio, and a data storage unit that stores the input audio as data. The system switches between noise measurement mode and condition input mode, and stores the audio input in noise measurement mode as noise data in the data storage unit. The audio input in the condition input mode is stored in the data storage unit as data for the analysis conditions. When the noise measuring device includes a low-pass filter that filters the signal input from the sound signal input unit, and a signal application unit that applies a high-frequency signal exceeding the cutoff frequency of the filter to the output terminal of the low-pass filter, A computer program that switches modes when the aforementioned high-frequency signal is input.
6. This is performed by a computer comprising a noise measuring device that includes an audio signal input unit for inputting the noise generated by a rotating machine to be analyzed and the analysis conditions of the noise in audio, and a data storage unit for storing the input audio as data. The system switches between noise measurement mode and condition input mode, and stores the audio input in noise measurement mode as noise data in the data storage unit. The audio input in the condition input mode is stored in the data storage unit as data for the analysis conditions. A computer program that, when switched to condition registration mode, registers analysis conditions entered via voice as voice recognition patterns in that condition registration mode.
7. The computer program according to claim 5 or 6, which causes the computer program to recognize the rotational speed, number of poles, and power supply frequency of a rotating machine as the analysis conditions from the data stored in the data storage unit.
8. A computer program according to any one of claims 5 to 7, which recognizes from the data stored in the data storage unit that the noise is an abnormal noise and that the audio during the operating period is the analysis condition.
9. A computer program according to any one of claims 5 to 8, which recognizes the type of sound of a load device driven by the rotating machine as the analysis condition from the data stored in the data storage unit.