WO2024117774A1 - Dispositif de mesure et d'inspection pour mesure de vibration - Google Patents

Dispositif de mesure et d'inspection pour mesure de vibration Download PDF

Info

Publication number
WO2024117774A1
WO2024117774A1 PCT/KR2023/019456 KR2023019456W WO2024117774A1 WO 2024117774 A1 WO2024117774 A1 WO 2024117774A1 KR 2023019456 W KR2023019456 W KR 2023019456W WO 2024117774 A1 WO2024117774 A1 WO 2024117774A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
information
vibration
signal
machine
Prior art date
Application number
PCT/KR2023/019456
Other languages
English (en)
Korean (ko)
Inventor
이시창
이종수
Original Assignee
아이지온파트너스 주식회사
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 아이지온파트너스 주식회사 filed Critical 아이지온파트너스 주식회사
Publication of WO2024117774A1 publication Critical patent/WO2024117774A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/12—Measuring characteristics of vibrations in solids by using direct conduction to the detector of longitudinal or not specified vibrations
    • G01H1/14—Frequency
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to a measurement and inspection device for monitoring or diagnosing the state of a mechanical device by measuring vibration.
  • the technical problem that the present invention seeks to solve is that, despite the increase in the amount of machine information collected with the development of ICT technology and the increasing need for remote monitoring, wireless data transmission, storage and processing of measurement information, etc., Efficiently transmits, manages, and stores processed vibration information.
  • a measurement and inspection device for monitoring or diagnosing the state of a mechanical device by measuring vibration
  • the measurement and inspection device includes a processing unit,
  • the processing unit includes
  • a processed signal information generator that generates time domain processed signal information for the processed signal that is the time domain signal, or frequency domain processed signal information for the processed signal that is the frequency domain signal;
  • a transmission unit that transmits or stores first data and second data separately.
  • the time domain processing signal information generated by the processing signal information generating unit of (d) includes sampling time section information and sampling time interval information,
  • the frequency domain processing signal information generated by the processing signal information generation unit of (d) includes sampling frequency section information and sampling frequency interval information,
  • the first data is
  • An identifier that identifies whether the processed signal is a time domain signal or a frequency domain signal
  • the measurement and inspection device is provided, wherein the second data includes a processed signal indicated by the processed signal information indicated by the first data.
  • a measurement and inspection device for monitoring or diagnosing the state of a mechanical device by measuring vibration
  • the measurement and inspection device includes a processing unit,
  • the processing unit includes
  • a processed signal information generator that generates time domain processed signal information for the processed signal that is the time domain signal, or frequency domain processed signal information for the processed signal that is the frequency domain signal;
  • a transmission unit that transmits or stores the first data, 2-1 data, and 2-2 data separately.
  • the time domain processing signal information generated by the processing signal information generating unit of (d) includes sampling time section information and sampling time interval information,
  • the frequency domain processing signal information generated by the processing signal information generation unit of (d) includes sampling frequency section information and sampling frequency interval information,
  • the first data is
  • An identifier that identifies whether the processed signal is a time domain signal or a frequency domain signal
  • the 2-1 data includes a processing signal indicated by time domain processing signal information indicated by the first data
  • the measurement and inspection device is provided, wherein the 2-2 data includes a processed signal indicated by frequency domain processed signal information indicated by the first data.
  • it further includes a storage unit,
  • the storage unit includes a first storage unit and a second storage unit,
  • the first data is stored in the first storage unit
  • the second data is stored in the second storage unit.
  • it further includes a storage unit,
  • the storage unit includes a first storage unit, a 2-1 storage unit, and a 2-2 storage unit,
  • the first data is stored in the first storage unit
  • the 2-1 data is stored in the 2-1 storage unit
  • the 2-2 data is stored in the 2-2 storage unit.
  • the processing unit generates normal status information, which indicates whether the mechanical device is normal, and adds it to the first data.
  • the first data includes sensor position information that identifies where the vibration sensor is mounted on the mechanical device.
  • the sampling frequency is set to be at least 2 times and at most 2.2 times the highest peak frequency of the electrical signal
  • the first data includes the sampling frequency.
  • one of the plurality of mechanical devices is referred to as a target facility, and any of the mechanical devices excluding the target facility is referred to as other facilities,
  • the processing unit includes a subtraction conversion unit that has a function of converting a signal by subtracting noise vibration generated from the other equipment other than the target equipment.
  • the subtraction conversion unit Preferably, the subtraction conversion unit, the subtraction conversion unit, and
  • one of the plurality of mechanical devices is referred to as a target facility, and any of the mechanical devices excluding the target facility is referred to as other facilities,
  • the processing unit senses the operating load of the other equipment and determines the reflection of noise vibration reduction to the target equipment.
  • the processing unit Preferably, the processing unit, the memory unit, and
  • a plurality of the vibration sensors are installed in one of the mechanical devices,
  • Sensor position information for each vibration sensor is identified, and vibration information data from the vibration sensor corresponding to the sensor position information is compared with pre-stored reference data to determine whether the specific position is abnormal.
  • reference data for one of the vibration sensors In addition to reference data for one of the vibration sensors, reference data for a set of a plurality of the vibration sensors is compared.
  • the user of the mechanical device specifies the reference data and includes it in the first data.
  • vibration information data of a machine that has operated without problems for a certain period of time is used.
  • the inspection device 10 of the present invention measures vibration occurring in one or more machines (F1 in FIG. 2 or F1 to FM in FIG. 5) (referred to as machines, mechanical devices, equipment, facilities, etc.) It is used as a factor (measurement target) and the measured vibration value is processed to perform the function of diagnosing and monitoring machine abnormalities.
  • This function can be applied to a variety of machines, equipment, and facilities, including components that cause vibration.
  • Figure 1 is a schematic configuration diagram of the measurement and inspection device 10 according to the present invention.
  • Figure 2 is a diagram showing an example of applying the measurement and inspection device 10 of the present invention to a mechanical device F1 that is a measurement target.
  • Figure 3 is a diagram of an embodiment explaining each component of the present invention in more detail.
  • Figure 4 is a diagram of another embodiment explaining each component of the present invention in more detail.
  • Figure 5 shows an embodiment of the present invention, which is different from Figure 2.
  • Figure 6 is a processing flowchart of the measurement and inspection device 10 of the present invention.
  • Figure 7 shows a plurality of sensors attached to machine 1 (F1) and machine 2 (F2), respectively.
  • Figures 8a and 8b are one continuous flow and show a flow related to noise reduction from adjacent facilities.
  • Figures 9A and 9B are one continuous flow and show a flow related to an increase in power consumption (increase in load).
  • Figure 1 is a schematic configuration diagram of the measurement and inspection device 10 according to the present invention.
  • the present invention relates to a measurement and inspection device (10) for monitoring or diagnosing the state of a mechanical device by measuring vibration.
  • the inspection device 10 of the present invention measures vibration occurring in one or more machines (F1 in FIG. 2 or F1 to FM in FIG. 5) (referred to as machines, mechanical devices, equipment, facilities, etc.) as a measurement factor (measurement target). and processes the measured vibration values to perform the function of diagnosing and monitoring machine abnormalities.
  • This function can be applied to a variety of machines, equipment, and facilities, including components that cause vibration.
  • the main point of the present invention is that it can streamline diagnostic monitoring using vibration measurement signals, improve the reliability of diagnosis and monitoring, and reduce system load during automation of manufacturing and integrated management of mechanical facilities such as smart factories or Industry 4.0. It is there.
  • This device 10 includes a vibration sensor 11 that measures vibration, a processing unit 12 and a storage unit 13 that process the measured vibration.
  • the measurement and inspection device 10 (inspection system) of the present invention is
  • the vibration sensor 11 in FIG. 1 is indicated by a dotted line.
  • the presence of the vibration sensor 11 itself is essential, but this means that the vibration sensor 11 may or may not be part of the measurement and inspection device 10.
  • the storage unit 13 is indicated by a dotted line. Components for storing data are of course necessary, but this may be done on its own within the processing unit 12, or as a separate component located outside the processing unit 12 (which does not necessarily mean outside the measurement and inspection device 10). This means that even the storage unit 13 is fine.
  • the processed signal is a signal that has undergone processes such as noise removal, sampling, and conversion from the measurement signal (signal from the vibration sensor 11).
  • the output of the A/D converter 12-2 may be referred to as a processed signal, or the output of the area converter 12-3 may be referred to as a processed signal.
  • the term 'processed signal' is often used to encompass a time domain processed signal and a frequency domain processed signal.
  • Figure 2 is a diagram showing an example of applying the measurement and inspection device 10 of the present invention to a mechanical device F1 that is a measurement target.
  • machine 1 (F1) in FIG. 2 is not part of the measurement and inspection device 10, but is the object that the measurement and inspection device 10 is intended to measure.
  • the member labeled Machine 1 (F1) may be called by various names such as machine, mechanical device, equipment, or facility. Although it is not limited thereto, as a typical example, it may be one or more of 10 identical lathes (machine tools) placed in a factory. Although only machine 1 (F1) is shown in FIG. 2, the measurement target may be one machine, and for example, as described later in FIG. 5, multiple machines (preferably multiple machines of the same model) can be used as measurement targets. good night.
  • a vibration sensor 11 is installed (attached) to machine 1 (F1). This vibration sensor is connected to the processing unit 12, and the processing unit 12 is connected to the storage unit 13.
  • vibration sensor 11 itself is essential, but it has been described above with reference to FIG. 1 that the vibration sensor 11 may or may not be part of the measurement and inspection device 10.
  • Figure 3 is a diagram of an embodiment explaining each component of the present invention in more detail.
  • the vibration sensor 11 converts the physical vibration of one or more mechanical devices (such as F1) to be measured into electrical signals.
  • the vibration sensor 11 may be one or more of a displacement sensor 11A that measures displacement according to the physical quantity to be measured, a speed sensor 11B that measures speed, and an acceleration sensor 11C that measures acceleration. there is. Of course, it could also be a sensor that measures other types of physical quantities.
  • the processing unit 12 includes reception of data from a vibration sensor, AD conversion of an electrical signal of vibration, conversion of a time domain signal into a frequency domain, processing signal information generation function, and transmission/storage.
  • reception unit 12-1, A/D conversion unit 12-2, area conversion unit 12-3, processing signal information generation unit 12-4, and transmission (and/or storage) shown in FIG. ) is carried out by part (12-5).
  • the time domain processing signal information includes sampling time section information and sampling time interval information
  • the frequency domain processing signal information includes sampling frequency section information and sampling frequency interval information
  • the processing unit 12 divides the signal into first data D1 and second data D2 and transmits and/or stores the signal (transfer/storage unit 12-5).
  • the first data (D1) is a first data (D1)
  • the second data D2 includes the processed signal indicated by the processed signal information indicated by the first data D1.
  • the measurement and inspection device 10 may be provided with a storage unit 13 that stores data (e.g., first data D1, second data D2, and/or other data) separately from the processing unit 12. there is.
  • data e.g., first data D1, second data D2, and/or other data
  • the transmission/storage unit (transmission and/or storage unit) 12-5 of the processing unit 12 may perform the function of the storage unit 13 without a separate storage unit 13. In that sense, the storage unit 13 is indicated by a dotted line.
  • the processing unit 12 may suspend or omit the generation of the frequency domain processing signal according to the user's settings, and in this case, the second data D2 may consist of only the time domain processing signal. That is, if necessary, the area conversion unit 12-3 may not exist at all, or even if the area conversion unit 12-3 exists, it may be turned off so that it does not function.
  • the processing unit 12 may exist for each individual machine, or one processing unit 12 may be provided to process vibration measurement signals from multiple machines. That is, as will be described later in FIG. 5, if there are M measurement objects (F1 to FM), it is possible to process signals from the M measurement objects (F1 to FM) with only the processing unit 12 (this case is also 5), or if there are M measurement objects (F1 to FM), it is possible for there to be M processing units 12, each corresponding to one machine (this case is not shown).
  • the processing unit 12 can generate information about the state of the machine, that is, whether it is normal, and add it to the first data D1.
  • the first data D1 may include information on whether there is a reference processing signal for reference in determining the machine state.
  • the first data D1 may include not only machine measurement signal information but also information on the installation and operation environment of the machine, such as temperature and humidity.
  • vibration sensors 11 When one or more vibration sensors 11 are mounted on a machine (such as F1), information identifying the machine part where the sensor 11 where the vibration signal is measured may be mounted may be included in the first data D1.
  • the first data D1 and the second data D2 may be transmitted/stored as one bundle.
  • the first data D1 and the second data D2 may be transmitted, stored, or managed separately.
  • the first data D1 and the second data D2 may each include an association identifier capable of associating a pair of data.
  • first data (D1) and the second data (D2) are transmitted, stored, and/or managed separately, separate storage units for storing the first data (D1) and the second data (D2) may be provided.
  • Figure 4 is a diagram of another embodiment explaining each component of the present invention in more detail.
  • FIG. 4 is almost the same as FIG. 3, but the difference is in the presence or absence of the 2-1 storage unit 12-2' and the 2-2 storage unit 12-2". Strictly speaking, FIG. The functions of the second storage unit 12-2 in 3 are separated into the 2-1 storage unit 12-2' and the 2-2 storage unit 12-2" in FIG. 4. And, although it cannot be seen from Figure 4 alone, the function of the transmission/storage unit 12-5 is also somewhat different accordingly. Depending on the situation, the function of the processing signal information generating unit 12-4 may also be somewhat different.
  • the measurement and inspection device 10 for monitoring or diagnosing the state of a mechanical device by measuring vibration includes a vibration sensor 11 for measuring vibration, a processing unit 12 for processing the measured vibration, and a storage unit ( 13).
  • the vibration sensor 11 converts physical vibration into an electrical signal
  • the processing unit 12 performs A/D conversion of the electrical signal of the vibration, conversion of the time domain signal to the frequency domain, and processing signals. Includes information generation function.
  • the time domain processing signal information includes sampling time section information and sampling time interval information
  • the frequency domain processing signal information includes sampling frequency section information and sampling frequency interval information.
  • the transmission/storage unit 12-5 of the processing unit 12 transmits the signal to the first data D1, the 2-1 data D2-1, and the 2-2 data D2- 2) Separate and transmit or store.
  • the transmission/storage unit 12-5 is divided into first data D1 and second data D2.
  • the first data is a type of metadata (metadata + identification information).
  • the second data is a processed signal and may be, for example, raw data.
  • the transmission/storage unit 12-5 divides the data into first data D1, 2-1 data D2-1, and 2-2 data D2-2.
  • the first data is a type of metadata (metadata + identification information).
  • the 2-1st data is a time domain processed signal among processed signals and may be, for example, raw data.
  • the 2-2 data is a frequency domain processed signal among processed signals and may be raw data, for example.
  • the first data D1 is stored in the first storage unit 13-1 of FIG. 3
  • the second data D2 is stored in the second storage unit 13-2 of FIG. 3. do.
  • the first data D1 is stored in the first storage unit 13-1 of FIG. 4, and the 2-1 data D2-1 is stored in the second storage unit 13-2 of FIG. 4. ), and the 2-2 data (D2-2) is stored in the 2-2 storage unit (13-2") of FIG. 4.
  • the first data (D1) is a first data (D1)
  • the 2-1 data (D2-1) includes a processing signal indicated by the processing signal information in the time domain indicated by the first data (D1),
  • the 2-2 data D2-2 includes a processed signal indicated by the processed signal information in the frequency domain indicated by the first data D1.
  • Figure 5 shows an embodiment of the present invention, which is different from Figure 2.
  • the inspection device 10 of the present invention uses vibration occurring in one or more machines (F1 to FM) (referred to as machines, mechanical devices, equipment, facilities, etc.) as a measurement factor (measurement target), and processes the measured vibration value. It performs the function of diagnosing and monitoring machine abnormalities. This function can be applied to a variety of machines, equipment, and facilities, including components that cause vibration.
  • the main point of the present invention is that it can streamline diagnostic monitoring using vibration measurement signals, improve the reliability of diagnosis and monitoring, and reduce system load during automation of manufacturing and integrated management of mechanical facilities such as smart factories or Industry 4.0. It is there.
  • the smart factory is equipped with a number of similar equipment (F1 to FM; mechanical devices), and a sensor 11 (vibration sensor 11), which is a means of measuring one or more vibrations for each machine. ), and the plurality of sensors 11 transmit the measured signals to the processing unit 12 (specifically, the receiving unit 12-1 of the processing unit 12).
  • n sensors are attached to each machine.
  • n sensors from sensor 1-1 to sensor 1-n are attached to machine 1 (F1), and these are referred to as 'sensor 11 (vibration sensor 11) for machine 1 (F1)'.
  • machine 2 (F2) is equipped with n sensors of sensors (2-1) to sensors (2-n), which are referred to as 'sensor 11 (vibration sensor 11) for machine 2 (F2)'.
  • n sensors from sensor (M-1) to sensor (M-n) are attached to machine M (FM), and this is called 'sensor 11 (vibration sensor 11) for machine M (FM)'.
  • monitoring and diagnosis of the plurality of mechanical devices can be performed more efficiently by attaching the same type of sensor 11 to the plurality of machines (F1 to FM) of the same type.
  • the vibration sensor 11 is shown as attached to the machine (F1).
  • the vibration sensor 11 may be a single sensor, but this does not necessarily mean that there is only one vibration sensor 11 per machine.
  • one or more sensors e.g. 1-1, 1-2, ... 1-n
  • vibration sensors 11 are called vibration sensors 11 (collectively) for machine 1 (F1). Because you can see it.
  • Machine 1 (F1) to Machine M (FM) are of the same type (e.g., the same model), and for sensors, 1 is the first sensor for each machine (F1 to FM).
  • -1, 2-1, ..., M-1 are the same sensors, and the second sensors for each machine (F1 ⁇ FM), 1-2, 2-2, ..., M-2, are the same sensors.
  • the sensors 1-1 and 1-2 may be the same (that is, two or more sensors of the same type may be attached to one machine). This is because it allows a more detailed understanding of vibrations that may vary from part to part.
  • the processing unit 12 performs a signal processing function to process the analog vibration signals measured by each sensor 11 into data that can be used for diagnostic monitoring of the machine, such as digitization and Fourier transformation, and provides information related to the processed signals. It performs the function of generating, managing, transmitting, and storing processing signals and generated information.
  • Information about the processed signal is basically composed of time domain processed signal information including sampling time section information and sampling time interval information, and frequency domain processed signal information including sampling frequency section information and sampling frequency interval information.
  • the processing unit 12 may additionally determine whether the machine equipped with the sensor 11 that generated the signal is normal based on the processing signal and add it to the generated information.
  • the standard for determining whether it is normal is by referring to the information on the previously processed signal measured by the relevant sensor 11 and the processed signal processed by the processing unit of the signal measured by sensors 11 mounted at the same location in other machines of the same type. Determine whether the sensor 11 measured value processing signal is normal.
  • the processed signal is used as a reference processing signal to determine whether the vibration signal measured by the same equipment (F1 to FM) and the same location sensor (11) is abnormal in the future.
  • Hanji can be added to the creation information.
  • Processing signals marked as available for reference in this way can be added to the existing reference processing signal group and used to set reference thresholds and limits and calculate monitoring standards. The processing of the reference group and the judgment criteria are important factors that determine the reliability of the judgment, so separate mention is required.
  • the processing signal and processing signal information can be transmitted and stored as a bundle, and in this case, they are stored in one storage unit 13.
  • the processed signal information and the processed signal are stored in a separate storage unit (for example, the processed signal information is stored in the first data ( Stored in the first storage 13-1 as all or part of D1), the processed signal can be stored in the second storage 13-2 as all or part of the second data D2 (see above) (see Figure 3).
  • the processed signal can be transmitted or stored separately into a time domain processed signal and a frequency domain processed signal, each in a separate storage unit (e.g., the processed signal information is stored in the first data D1 as all or part of the first data D1).
  • the time domain processed signal is stored in the 2-1 storage unit 13-2' as all or part of the 2-1 data D2-1
  • the frequency domain processed signal is stored in the 2-1 storage unit 13-2'.
  • All or part of the 2-2 data (D2-2) can be stored in the 2-2 storage unit (13-2") (see FIG. 4 above).
  • the second storage unit 13-2 in FIG. 5 follows the structure of the storage unit 13 in FIG. 3, and the storage unit 13-2 in FIG. 5 is similar to the storage unit 13 in FIG. 4. As in, it may be divided into a 2-1 storage unit 13-2' and a 2-2 storage unit 13-2".
  • the processing unit 12 When transmitting and storing the processed signal (included in the second data (D2)) and the processed signal information (included in the first data (D1)) separately, the processing unit 12 transmits and stores the processed signal (D2) and the processed signal information (included in the first data (D1)) An identifier associated with D1) is created, attached to each, transmitted/stored, and the corresponding processed signal (D2) can be searched for information during playback.
  • Figure 6 is a processing flowchart of the measurement and inspection device 10 of the present invention.
  • At least one vibration sensor 11 is attached to the machine/equipment/facility (F1 to FM) that is the measurement target, and the vibration sensor 11 is attached to the machine/equipment/facility (F1 to FM).
  • FM converts physical vibration into a signal (electrical signal).
  • This S0 step is a step performed by the measurement and inspection device 10 if the vibration sensor 11 is a part of the measurement and inspection device 10. If the vibration sensor 11 is a part of the measurement and inspection device 10, the S0 step is a step performed by the measurement and inspection device 10. If not, this is a previous step to the step performed by the measurement and inspection device 10.
  • the electrical signal is converted from analog to digital (A/D conversion unit 12-2).
  • the time domain signal which is the signal output from the A/D converter 12-2, is converted into a frequency domain signal (domain converter 12-3).
  • time domain processing signal information for a processing signal that is a time domain signal or frequency domain processing signal information for a processing signal that is a frequency domain signal is generated (processing signal information generating unit 12-4).
  • first data and second data are separately transmitted or stored (transmission/storage unit 12-5).
  • first data, the 2-1 data, and the 2-2 data are transmitted or stored separately (transmission/storage unit 12-5).
  • the time domain processing signal information generated by the processing signal information generating unit 12-4 includes sampling time section information and sampling time interval information.
  • the frequency domain processing signal information generated by the processing signal information generating unit 12-4 includes sampling frequency section information and sampling frequency interval information.
  • An identifier that identifies whether the processed signal is a time domain signal or a frequency domain signal
  • the second data D2 is processed signal information indicated by the first data D1. Includes the processing signal indicated by .
  • the 2-1 data (D2-1) is the first data (D1) It includes a processed signal indicated by the time domain processed signal information indicated by , and the 2-2 data D2-2 includes a processed signal indicated by the frequency domain processed signal information indicated by the first data D1.
  • the vibration sensor 11 may be one of a displacement sensor 11A that measures displacement, a speed sensor 11B that measures speed, and an acceleration sensor that measures acceleration according to the physical quantity being measured. Displacement, velocity, and acceleration factors, which are the physical quantities measured here, can be calculated by applying differential or integral functions to other factors.
  • the vibration sensor 11 generates electrical signals proportional to their respective amplitudes. Since the sensor 11 that measures vibration varies depending on the amplitude band, frequency band, resonance band, etc., it is necessary to select appropriately according to the characteristics of the vibration to be measured. For example, speed sensors are precise and do not require power in some cases, but they have the disadvantage that their natural frequency is limited to 1 kHz or less. In many vibration measurement applications, acceleration sensors or displacement sensors are used.
  • the processing unit 12 digitizes (ADC: Analog digital conversion) the analog vibration signal measured by each sensor 11. Analog signals are sampled and signal values are extracted as a function of time.
  • ADC Analog digital conversion
  • the effective sampling frequency for measurement/measurement should be more than twice the signal frequency of the measurement target, and the maximum frequency of this measurement target is called the Nyquist frequency. do. Accordingly, when sampling the signal value, the sampling time interval, that is, the frequency, must be determined by referring to the frequency band area that requires attention for diagnosing and monitoring the condition of the machine after converting the vibration signal to the frequency domain. Sampling should be performed at a frequency that is twice the maximum frequency of the frequency region of interest. It is ideal to sample based on the maximum frequency covered by the inspection device 10, but the frequency region of interest for analysis may vary depending on the machine to be diagnosed (F1 to FM) and the mounting location of the sensor 11.
  • the sampling frequency may be different for each machine/sensor.
  • sampling at a sampling frequency corresponding to the maximum frequency of interest there is a disadvantage in that the amount of stored analysis data increases and the load on the inspection system 10 increases.
  • sampling and processing are performed at a single frequency, processing can be simplified and diagnosis can be improved. Since it can be used when reviewing or reviewing improvements such as reviewing the appropriateness of diagnosis/analysis, it is effective to determine the sampling frequency by considering the capacity of the system 10 and future data usability.
  • the appropriate sampling frequency it is necessary to sample at a frequency that does not cause distortion/error of the vibration spectrum signal to streamline data extraction, storage, and transmission, so it is necessary to sample at an appropriate sampling frequency. It is efficient to set the appropriate sampling frequency suggested by the present invention to between 2 and 2.56 times the Nyquist frequency, and preferably between 2 and 2.2 times. The higher the sampling frequency, the denser the sampling, making it possible to obtain a clear measurement vibration spectrum, but the amount of data increases. Conversely, when a low sampling frequency is applied, the amount of data in the vibration spectrum is reduced, reducing the load on the measurement system, but the vibration spectrum may be distorted and measured.
  • Converting time domain data to frequency domain data follows the mathematical Fourier Transformation theory, but the mathematical Fourier Transform theory is a form that performs continuous integration on the wave form in the infinite time domain. There are limits to practical application. In reality, analytical method calculations of software and electronic calculation systems are applied to data of discontinuous time functions, such as FFT (Fast Fourier transform), DFT (Discrete Fourier Transform), and STFT (Short Time Fourier transform). Convert it to frequency domain data using this method.
  • FFT Fast Fourier transform
  • DFT Discrete Fourier Transform
  • STFT Short Time Fourier transform
  • M may be 1 or more, and n may be 2 or more.
  • the present invention is premised on collecting and processing a large amount of measurement data from the same type of equipment (F1 to FM) from the perspective of smart factory and factory automation, two or more sensors are required for each machine (e.g., F1). In many cases, it is desirable to attach.
  • one sensor per machine may not be enough to measure the vibration. Attaching two or more sensors per machine may mean the same or different types of sensors in different locations on the same machine, or may mean installing different types of sensors at the same location.
  • the 'inspection device configured to collect vibration measurement data from one or more machines and two or more vibration sensors' operates efficiently and functions as a solution for diagnosing/monitoring multiple facilities.
  • the tester 10 can refer to the many and various types of vibration sensors that collect vibration information
  • sensors mounted on the same machine and in the same area have each classification identification number corresponding to the machine type and mounting location. It is given, added to the first data, and used for management such as judgment, classification, and search.
  • the reference data of item 2 above is additionally specified, four sensors are attached to different parts of machine 1 (F1), and according to the relative positions of the sensors, which path is the problem is determined. There are also cases.
  • Figure 7 shows a plurality of sensors attached to machine 1 (F1) and machine 2 (F2), respectively.
  • analyzing the signal from the vibration sensor itself is based on the analysis of the vibration signal from the sensors (1-1 to 1-4) and sensors (2-1 to 2-4) shown in FIG. 7.
  • the processing unit 12 or a server that can be connected to the processing unit 12 may have some reference data (reference data, reference waveform, etc.) as a standard.
  • the measurement and inspection device 10 of the present invention can determine whether there is an abnormality in the 'part' by comparing it with the signals actually obtained from each sensor (1-1 to 1-4).
  • Comparison with such standard data can be done through remote communication, and it is possible to know which sensor the data is from or which path (set of sensors) the data is from.
  • this information (specific location information of the sensor) is stored in the first data (D1), it becomes possible to compare the standard data (reference information) and the information obtained from the current sensor in a more accurate form.
  • this reference data may be in the time domain or the frequency domain.
  • this comparison may be a comparison of each sensor as in (i) above, or may be a comparison of a specific path (or area) in which sensors are grouped (as a set) as in (ii) above.
  • Equipment or devices that rotate or undergo regular movement generate vibration, and the equipment vibration spectrum changes due to wear and deterioration of the parts that make up the target equipment, deterioration, and loosening of assembly.
  • the size of the change in the vibration spectrum of the target facility may be relatively small compared to the amplitude of the intrinsic vibration spectrum of the target facility.
  • Vibration occurring in the same type of equipment or heterogeneous equipment installed adjacent to or in the same space changes the vibration spectrum measured by the target sensor installed in the target facility. may act as noise.
  • the vibration spectrum of the target facility is analyzed by subtracting the vibration data of other adjacent facilities.
  • a weight is set considering the impact of vibration from adjacent other facilities on the measured value of the target sensor of the target facility, and noise data is subtracted by reflecting the weight to the target facility/target sensor.
  • Measured vibration spectrum data can be analyzed.
  • the spectrum of the target facility/sensor is analyzed by sensing the operating load of other facilities generating noise and subtracting noise data from other facilities in operation.
  • machine 1 (F1) is the main facility
  • machine 2 (F2) to machine M (FM) are other facilities.
  • the vibration measured in Machine 1 (F1) is not, in fact, purely caused by Machine 1 (F1) alone, but is strictly caused by other equipment (one or more of Machine 2 (F2) to Machine M (FM)). This includes the effects of vibrations that occur.
  • the vibration that will be added to the main equipment (Machine 1 (F1)) due to overlap due to other equipment (one or more of Machine 2 (F2) to Machine M (FM)) is subtracted from the main equipment (Machine 1 (F1)).
  • the vibration result value is to numerically correct the vibration result value.
  • a standard value e.g., weight
  • Setting a standard value in advance means, for example, recording the vibration value of Machine 1 (F1) when only Machine 2 (F2) is vibrating (operating) among Machine 1 (F1) to Machine M (FM), and Record the vibration value of machine 1 (F1) when only machine 3 (F3) is vibrating (operating) among machines 1 (F1) to machine M (FM), ..., machine 1 (F1) to machine M.
  • the weight value may be determined experimentally and/or computationally depending on the distance between Machine 1 (F1) and other equipment (any one of Machine 2 to Machine M), or learning based on statistics for multiple machines through machine learning. You may do so.
  • FIGS. 8A and 8B are one continuous flow and represent a flow related to noise reduction from adjacent facilities.
  • FIGS. 8a to 8b are an example, and it is also possible to simplify it further and apply it only to machine 1 (F1).
  • Modification Example 5 and Modification Example 4 described later may be applied together.
  • Modification 5 (related to increase in power consumption (increase in load))
  • the present inventor believes that if there is an abnormality in the state of the machine (which may be one or more of F1 to FM) (or if a high load operation that is different from normal work is performed), the load of the machine (which may be one or more of F1 to FM) increases. It was recognized that power consumption may increase due to an increase in power consumption.
  • the measurement and inspection device 10 measures the power consumption of each machine (F1 to FM) or receives data on power consumption (hereinafter also referred to as measured power consumption).
  • a load measuring unit (not shown) may be additionally included.
  • load measurement unit or measurement power consumption
  • a method may be used in which the power consumption as a load is directly measured by the measurement and inspection device 10, and the power consumption as a load is measured (measurement and inspection device 10). It is also okay to receive transmission from another device (not .). Additionally, the components shown in FIGS. 1 to 3 may serve as the load measurement unit described above.
  • This data on power consumption i.e., measured power consumption
  • first data metadata, etc.
  • the measurement and inspection device 10 of the present invention senses the operating load of other equipment and determines the reflection of noise vibration deduction. do.
  • Modification 4 the influence of other equipment on the vibration of this equipment has been considered.
  • Modification 5 independently of or in addition to Modification 4, the influence of changes in power consumption (load changes) of each machine is considered.
  • the weight value may be determined experimentally and/or computationally depending on the distance between Machine 1 (F1) and other equipment (any one of Machine 2 to Machine M), or learning based on statistics for multiple machines through machine learning. You may do so. And, for each machine, it is assumed that vibration increases in proportion to the rate at which the load increases (although it may not necessarily be in direct proportion), and the proportional rate (weight) is set as a standard value. This weight may also be determined experimentally and/or computationally, or may be learned using statistical values for multiple machines through machine learning.
  • the vibration measurement values of Machine 1 (F1) are not used as is, but the vibration measurement values of Machine 2 (F2) are measured.
  • the corrected vibration value is used by subtracting a predetermined value from the vibration measurement value of Machine 1 (F1) (at this time, the predetermined value is the amount of power consumed by Machine 2 (F2) depending on the amount by which the power consumption of Machine 2 (F2) is increased. (S104-1).
  • Machine M(FM) when this equipment (Machine M(FM)) is the measurement target, (if necessary, if an increase is detected in the above step), the vibration measurement values of Machine M(FM) are not used as is, but Machine 1( Unwanted additional vibration to machine M(FM) due to an abnormality (or overload) occurring in machine F1) to machine M-1(FM-1) (i.e., to machine 1(F1) to machine M-1(FM-1). Under the assumption that the resulting vibration) is overlapped, a corrected vibration value is used by subtracting a predetermined value from the vibration measurement value of machine M (FM) (S104-M).
  • FIGS. 9A and 9B are one continuous flow and represent a flow related to an increase in power consumption (load increase).
  • the vibration sensor 11 may or may not be part of the measurement and inspection device 10 of the present invention (although the existence of the vibration sensor 11 itself is necessary).
  • a person selling machine 1 (F1) sells it including the sensor 11 from the beginning.
  • the server (which may be the processing unit 12 itself or a separate server capable of communicating with the processing unit 12) will not have the reference data for item 3 above. .
  • the present invention can be used in the industrial field for measurement and inspection devices for monitoring or diagnosing the state of a mechanical device by, for example, measuring vibration.

Landscapes

  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

L'invention concerne un dispositif de mesure et d'inspection pour surveiller ou diagnostiquer l'état d'un dispositif mécanique par mesure de vibration. Une unité de traitement du dispositif comprend : une unité de réception (a) ; une unité de conversion A-N (b) ; une unité de conversion de domaine (c) ; une unité de génération d'informations de signal de traitement (d) ; et une unité de transmission (e). Des informations de signal de traitement de domaine temporel générées par l'unité de génération d'informations de signal de traitement (d) comprennent des informations de période d'échantillonnage et des informations d'intervalle de temps d'échantillonnage ; des informations de signal de traitement de domaine fréquentiel générées par l'unité de génération d'informations de signal de traitement (d) comprennent des informations de section de fréquence d'échantillonnage et des informations d'intervalle de fréquence d'échantillonnage ; et pour ce qui est de l'unité de transmission (e) : des premières données comprennent un identifiant qui détermine si le signal de traitement est un signal du domaine temporel ou un signal du domaine fréquentiel, des informations sur le signal de traitement d'un domaine indiqué par l'identifiant, des informations d'identification du dispositif mécanique à partir duquel les informations sur le signal de traitement ont été collectées, et des informations sur la date et l'heure de la collecte ; et des secondes données comprennent un signal de traitement indiqué par les informations sur le signal de traitement indiquées par les premières données.
PCT/KR2023/019456 2022-11-30 2023-11-29 Dispositif de mesure et d'inspection pour mesure de vibration WO2024117774A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2022-0163700 2022-11-30
KR20220163700 2022-11-30

Publications (1)

Publication Number Publication Date
WO2024117774A1 true WO2024117774A1 (fr) 2024-06-06

Family

ID=91324630

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2023/019456 WO2024117774A1 (fr) 2022-11-30 2023-11-29 Dispositif de mesure et d'inspection pour mesure de vibration

Country Status (1)

Country Link
WO (1) WO2024117774A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101686043B1 (ko) * 2015-07-14 2016-12-13 (주)한국플랜트관리 해양 구조물의 선박 충돌 모니터링 시스템
KR101991296B1 (ko) * 2018-09-13 2019-06-27 임강민 원자력 발전설비의 기계학습식 예측진단장치
KR20210129965A (ko) * 2020-04-21 2021-10-29 한국전력공사 블레이드 진동 신호 처리 보드, 블레이드 진동 신호 처리 장치, 및 블레이드 진동 신호 처리 방법
KR20210150115A (ko) * 2020-06-03 2021-12-10 삼성중공업 주식회사 스마트센서를 이용한 선박 구조물의 진동 측정장치, 이를 이용한 측정방법 및 이를 적용한 선박
KR20220061265A (ko) * 2016-05-09 2022-05-12 스트롱 포스 아이오티 포트폴리오 2016, 엘엘씨 산업용 사물 인터넷을 위한 방법들 및 시스템들

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101686043B1 (ko) * 2015-07-14 2016-12-13 (주)한국플랜트관리 해양 구조물의 선박 충돌 모니터링 시스템
KR20220061265A (ko) * 2016-05-09 2022-05-12 스트롱 포스 아이오티 포트폴리오 2016, 엘엘씨 산업용 사물 인터넷을 위한 방법들 및 시스템들
KR101991296B1 (ko) * 2018-09-13 2019-06-27 임강민 원자력 발전설비의 기계학습식 예측진단장치
KR20210129965A (ko) * 2020-04-21 2021-10-29 한국전력공사 블레이드 진동 신호 처리 보드, 블레이드 진동 신호 처리 장치, 및 블레이드 진동 신호 처리 방법
KR20210150115A (ko) * 2020-06-03 2021-12-10 삼성중공업 주식회사 스마트센서를 이용한 선박 구조물의 진동 측정장치, 이를 이용한 측정방법 및 이를 적용한 선박

Similar Documents

Publication Publication Date Title
WO2021071189A1 (fr) Plateforme d'analyse de l'intégrité d'un équipement électrique lourd et procédé d'analyse utilisant cette dernière
WO2019182246A1 (fr) Système de détection de décharge partielle
WO2016006977A1 (fr) Appareil, serveur, système et procédé de mesure d'énergie
WO2013048173A2 (fr) Appareil d'élimination de bruit de décharge partielle et procédé de diagnostic de décharge partielle
WO2015030343A1 (fr) Ellipsomètre à matrice de mueller de type à rotation d'élément optique et procédé de mesure de matrice de mueller d'échantillon l'utilisant
WO2015105277A1 (fr) Appareil et procédé de modification d'informations d'alarme en fonction des conditions météorologiques
WO2012005483A2 (fr) Procédé et dispositif de détection d'une variation de capacité et support d'enregistrement sur lequel est enregistré un programme destiné à exécuter le procédé, et dispositif et procédé de détection de toucher utilisant un procédé et un support d'enregistrement sur lequel est enregistré un programme destiné à exécuter le procédé
WO2020101108A1 (fr) Plateforme de modèle d'intelligence artificielle et procédé de fonctionnement de plateforme de modèle d'intelligence artificielle
WO2019083144A1 (fr) Dispositif et procédé permettant de détecter un emplacement de rupture d'un câble souterrain
WO2018194201A1 (fr) Dispositif et procédé de commande d'équipement à l'aide de communication de commande d'angle de phase d'une énergie en courant alternatif
WO2024117774A1 (fr) Dispositif de mesure et d'inspection pour mesure de vibration
WO2020075955A1 (fr) Appareil de détection d'informations de positionnement relatif entre des rouleaux et procédé de mesure d'un état d'alignement de rouleau à l'aide de celui-ci
WO2016064131A1 (fr) Procédé et dispositif de traitement de données
WO2012070910A2 (fr) Dispositif et procédé de calcul de valeur représentative
WO2024185962A1 (fr) Dispositif de gestion de la qualité de l'eau, procédé de fonctionnement et procédé de gestion de la qualité de l'eau
WO2020180027A1 (fr) Appareil ménager et son procédé de commande
WO2020171643A1 (fr) Dispositif reposant sur la surveillance d'état destiné à une plate-forme de maintenance de véhicule ferroviaire
WO2020061887A1 (fr) Procédé et dispositif de mesure de la fréquence cardiaque et support de stockage lisible par ordinateur
WO2020153600A1 (fr) Serveur, dispositif terminal et procédé de gestion d'appareil domestique
WO2023214618A2 (fr) Système d'analyse et de surveillance de qualité de produit moulé par injection pour gestion de qualité de produit moulé par injection
WO2011071249A2 (fr) Dispositif de mesure de précipitations et système de prédiction de précipitations comportant un tel système
WO2024143915A1 (fr) Procédé de suivi et de traitement du bruit dans une structure
WO2020105795A1 (fr) Dispositif, système et procédé de commande de moteur
WO2024135959A1 (fr) Procédé d'inspection de génération de chaleur de batterie reposant sur une image spectrale et appareil le prenant en charge
WO2023224180A1 (fr) Procédé et système utilisant des ensembles de détection pour un service de gestion de contrôle qualité permettant l'analyse et la surveillance d'un processus de production pour des produits moulés par injection

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23898300

Country of ref document: EP

Kind code of ref document: A1