WO2021052021A1 - Système de mesure de vibrations - Google Patents

Système de mesure de vibrations Download PDF

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Publication number
WO2021052021A1
WO2021052021A1 PCT/CN2020/105618 CN2020105618W WO2021052021A1 WO 2021052021 A1 WO2021052021 A1 WO 2021052021A1 CN 2020105618 W CN2020105618 W CN 2020105618W WO 2021052021 A1 WO2021052021 A1 WO 2021052021A1
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WO
WIPO (PCT)
Prior art keywords
detected
vibration
video file
coefficient
processor
Prior art date
Application number
PCT/CN2020/105618
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English (en)
Chinese (zh)
Inventor
高风波
Original Assignee
深圳市豪视智能科技有限公司
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Publication date
Application filed by 深圳市豪视智能科技有限公司 filed Critical 深圳市豪视智能科技有限公司
Publication of WO2021052021A1 publication Critical patent/WO2021052021A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts

Definitions

  • This application relates to the technical field of industrial detection, and in particular to a vibration detection system.
  • vibration detection is an important part.
  • the vibration detection uses accelerometer equipment. Although it is more accurate and reliable, the accelerometer requires a long preparation and installation time. During the test, it needs to be in physical contact with the system under test, which will change the vibration response of the system under test. It can test limited discrete points, and the non-contact vibration detection equipment currently used mainly includes laser Doppler vibrometers, but laser Doppler vibrometers are expensive, and the measurement results are affected by the temperature and light of the test environment, and It can only test system equipment in a small area, and its use is greatly restricted.
  • the embodiments of the present application provide a vibration detection system, which can effectively implement non-contact vibration detection, reduce the cost of equipment, and improve the accuracy and real-time performance of detection results.
  • an embodiment of the present application provides a vibration detection system.
  • the vibration detection system includes a video collection device, an environmental data collection device, and a detection device, the collection device, the environmental data collection device, and the detection device It is a portable integrated device, the video acquisition device includes a camera, the detection device includes a processor and a display screen, and the detection device is in communication connection with the camera and the environmental data acquisition device, wherein:
  • the camera is used to obtain a first video of an object to be detected, and transmit the first video to the detection device;
  • the environmental data collection device is used to collect humidity information around the object to be detected, and transmit the humidity information to the detection device;
  • the processor is configured to process the received first video according to a preset vibration detection algorithm to obtain a target video file with a motion amplification effect of the object to be detected, wherein the motion amplification effect refers to the The movement situation of the area where the object to be detected moves is enlarged in the target video;
  • the processor is further configured to determine the vibration coefficient of the object to be detected according to the target video file and the humidity information, and output abnormality prompt information.
  • the vibration detection system includes a video acquisition device, an environmental data acquisition device, and a detection device.
  • the acquisition device, the environmental data acquisition device, and the detection device are portable integrated devices.
  • the video acquisition device includes a camera
  • the detection device includes The processor and the display screen, the detection equipment are in communication connection with the camera and the environmental data acquisition device, wherein: the camera is used to obtain the first video of the object to be detected, and the first video is transmitted to the detection equipment; the environmental data acquisition device is used to collect the The humidity information around the object is detected, and the humidity information is transmitted to the detection device; the processor is used to process the received first video according to the preset vibration detection algorithm to obtain the target video file with the motion amplification effect of the object to be detected; the processor also It is used to determine the vibration coefficient of the object to be detected according to the target video file and humidity information, and output abnormal prompt information; the above system is beneficial to improve the adaptability of the shooting process and the real-time performance of the detection results.
  • the camera is used to shoot the object to be detected
  • the first video effectively realizes non-contact vibration detection, reduces equipment costs, and processes the first video with vibration detection algorithms to obtain target video files with motion amplification effects, and then determines abnormal data, which is beneficial to improve vibration detection
  • the use of a portable integrated device that integrates the acquisition device and the detection device effectively improves the convenience of vibration detection.
  • Fig. 1A is a schematic diagram of a portable integrated device of a vibration detection system disclosed in an embodiment of the present application
  • Fig. 1B is a schematic diagram of an image of a vibration coefficient disclosed in an embodiment of the present application.
  • FIG. 1C is a schematic diagram of a display interface for abnormal data disclosed in an embodiment of the present application.
  • FIG. 1D is a schematic diagram of another display interface for abnormal data disclosed in an embodiment of the present application.
  • FIG. 1A is a schematic diagram of a portable integrated device of a vibration detection system provided by an embodiment of the present application.
  • the vibration detection system includes a video acquisition device 101, an environmental data acquisition device 102, and a detection device 103.
  • the video acquisition device 101, the environmental data acquisition device 102, and the detection device 103 are portable integrated devices, and the video acquisition device 101 includes a camera 104.
  • the detection device 103 includes a processor 105 and a display screen 106.
  • the detection device 103 is in communication connection with the camera 104 and the environmental data collection device 102, wherein:
  • the camera 104 is configured to obtain a first video of the object to be detected, and transmit the first video to the detection device 103;
  • the environmental data collection device 102 is configured to collect humidity information around the object to be detected, and transmit the humidity information to the detection device 103;
  • the processor 105 is configured to process the received first video according to a preset vibration detection algorithm to obtain a target video file with a motion amplification effect of the object to be detected, wherein the motion amplification effect refers to all The movement situation of the area where the object to be detected moves is enlarged in the target video;
  • the processor 105 is further configured to determine the vibration coefficient of the object to be detected according to the target video file and the humidity information, and output abnormality prompt information.
  • the portable integrated device may include various handheld devices with wireless communication functions (as shown in FIG. 1A), wearable devices, computing devices or other processing devices connected to a wireless modem, as well as various forms of user equipment ( User Equipment, UE), terminal device (terminal device), etc.
  • UE User Equipment
  • terminal device terminal device
  • the processor 105 is located on the main board 106 of the integrated device, and is communicatively connected with the camera 104 and the display screen 106.
  • the camera may be a camera in an integrated device, for example, a front or rear camera of a mobile device, which is not limited here.
  • the vibration detection system may also include a tripod, which is used to stabilize the portable integrated device. equipment.
  • the specific implementation manners for collecting the humidity information around the object to be detected may be various, for example, it may be determining the humidity information according to the surface humidity of the object to be detected, or it may be based on the object to be detected.
  • the humidity in the surrounding air determines the humidity information, which is not limited here.
  • the abnormal data may include a target video file (the video file is a vibration video of the object to be detected with a motion amplification effect), vibration data, abnormal type, maintenance plan, and output abnormal data according to the vibration data
  • the specific implementation method is to first determine the abnormal type of the object to be detected and multiple maintenance plans based on the vibration data.
  • the specific implementation methods for outputting the abnormal data can be various, for example, outputting a target video file.
  • the files can be displayed as dynamic video images of different frequency bands, or can be output target video files and vibration data, or can be output real scene pictures and vibration data of the object to be detected, etc., which are not limited here.
  • the vibration detection system includes a video acquisition device, an environmental data acquisition device, and a detection device.
  • the acquisition device, the environmental data acquisition device, and the detection device are portable integrated devices.
  • the video acquisition device includes a camera
  • the detection device includes The processor and the display screen, the detection equipment are in communication connection with the camera and the environmental data acquisition device, wherein: the camera is used to obtain the first video of the object to be detected, and the first video is transmitted to the detection equipment; the environmental data acquisition device is used to collect the The humidity information around the object is detected, and the humidity information is transmitted to the detection device; the processor is used to process the received first video according to the preset vibration detection algorithm to obtain the target video file with the motion amplification effect of the object to be detected; the processor also It is used to determine the vibration coefficient of the object to be detected according to the target video file and humidity information, and output abnormal prompt information; the above system is beneficial to improve the adaptability of the shooting process and the real-time performance of the detection results.
  • the camera is used to shoot the object to be detected
  • the first video effectively realizes non-contact vibration detection, reduces equipment costs, and processes the first video with vibration detection algorithms to obtain target video files with motion amplification effects, and then determines abnormal data, which is beneficial to improve vibration detection
  • the use of a portable integrated device that integrates the acquisition device and the detection device effectively improves the convenience of vibration detection.
  • the processor is specifically configured to :
  • a video motion amplification algorithm is executed on the second video file to obtain the target video file with a motion amplification effect of the object to be detected.
  • YIQ is the television system standard (National Television Standards Committee, NTSC).
  • Y is the Luminance signal (Brightness) that provides black-and-white TV and color TV. I stands for In-phase, the color ranges from orange to cyan, and Q stands for Quadrature-phase, and the color ranges from purple to yellow-green.
  • the first video is divided into multiple frames of images, and the conversion from RGB color space to YIQ color space is performed, and the conversion relationship is:
  • the specific implementation manner of executing the video motion amplification algorithm on the second video file to obtain the target video file with the motion amplification effect of the object to be detected is by executing the video motion amplification algorithm on the second video file ,
  • the enlarged Y channel image is obtained, and then the enlarged Y channel image is added to the converted I and Q channel images, and then reversely converted into RGB color space to obtain the target video file.
  • the vibration detection system amplifies the brightness Y information through a video motion amplification algorithm to obtain a target video file with a motion amplification effect, which is beneficial to improve the visibility of the vibration effect in the target video file.
  • the processor is specifically configured to:
  • the material or shape or size of the object to be tested will correspond to different resonance frequencies.
  • the processor can determine the resonance frequency of the object to be tested based on prior knowledge, such as mechanical equipment: the resonance frequency should be around 100Hz, etc. Not limited.
  • the specific implementation manners for determining the target frequency band according to the resonance frequency may be various, for example, it may be determining the frequency band where the resonance frequency is located as the target frequency band, or determining the resonance frequency band
  • the frequency bands in the preset range symmetrical on the left and right sides are the target frequency bands, etc., which are not limited here.
  • the pyramid reconstruction operation is performed to obtain the target video file with the motion amplification effect
  • the processor performs the pyramid reconstruction operation to obtain the Y channel image with the motion amplification effect
  • the target with the motion amplification effect is obtained according to the Y channel image.
  • the specific implementation of the video file is as described above.
  • the vibration detection system determines the target frequency band according to the resonance frequency band of the object to be detected, which is beneficial to improve the rationality of the target frequency band determination, thereby improving the effectiveness of vibration detection and effectively avoiding missing abnormal vibration frequency bands; the vibration detection system is targeting
  • the second video file executes the target video amplifying algorithm, different target frequency bands are selected for signal amplification according to the different objects to be detected, and the signal is amplified in a targeted manner, instead of performing signal amplification algorithms on all frequency bands, which is conducive to improvement.
  • the processor is specifically configured to:
  • the vibration detection system determines the vibration coefficient according to the environmental coefficient and the vibration data, which is beneficial to dynamically determining the vibration detection result, and is beneficial to improve the accuracy of the vibration detection.
  • the vibration coefficient is determined according to the environmental coefficient and the vibration data, which is beneficial to improve the rationality of vibration detection.
  • the processor is specifically configured to:
  • phase correlation algorithm uses the following formula to calculate the first cross cross power spectrum:
  • Fa is the Fourier transform of a frame image
  • the lower side of the division formula is the modulus of the correlation product of the two Fourier transformed signals.
  • R is the first cross power spectrum (including frequency domain noise) of the calculation result of this step.
  • the processor uses an adaptive filter bank to reconstruct the signal, according to The position of the correlation peak of R adaptively selects the filter bank for filtering, and then performs inverse Fourier transform after filtering, and then performs phase comparison (phase-by-phase comparison).
  • the sliding window adaptive matching method is used to estimate and extract the vibration Parameter to obtain the second cross cross power spectrum R′ after filtering the frequency domain noise.
  • the inverse Fourier transform is performed on the second cross cross power spectrum, and the vibration data can be obtained by comparing phase by phase.
  • the calculation formula is as follows.
  • the vibration detection system uses an adaptive filter bank to perform interpolation filtering during the calculation of vibration data to remove frequency noise, which reduces the impact of noise on the vibration data and improves the accuracy of the vibration data.
  • the processor is specifically configured to:
  • the environmental coefficient of the object to be tested is 2, where U 0 represents the standard humidity of the object to be tested, U 1 represents the humidity information.
  • the standard humidity includes the most suitable environmental humidity for the material type of the object to be detected.
  • the vibration detection system determines the environmental coefficient according to the material type, which improves the real-time performance of vibration detection, which is beneficial to improve the accuracy of vibration detection.
  • the processor when determining the vibration coefficient according to the environmental coefficient and the vibration data, is specifically configured to:
  • the vibration coefficient is used to determine whether the object to be detected is in an abnormal state, and the vibration coefficient is affected by the magnitude of the vibration amplitude and the environmental coefficient.
  • the vibration coefficient is greater than a first preset coefficient, the to-be-detected The subject is in an abnormal state.
  • the vibration coefficient is dynamically determined. Even if the vibration amplitude is the same, when the environmental coefficient is different, the vibration coefficient will be affected, and the vibration coefficient will be affected.
  • the vibration detection system determines whether the object to be detected is in an abnormal state.
  • the vibration detection system determines the vibration coefficient according to the magnitude of the vibration and the environmental coefficient. Taking into account the impact of different environments on the object to be detected, the vibration coefficient is dynamically determined, which is beneficial to improve the vibration detection performance. Accuracy and efficiency.
  • the processor is specifically configured to:
  • the target video file of the object to be detected and various maintenance solutions for the object to be detected are output on the display interface of the display screen.
  • the processor prestores different objects to be detected corresponding to the mapping relationship between the vibration data and the maintenance plan. Therefore, the processor can determine the target mapping relationship between the vibration data and the maintenance plan according to the object to be detected, and then follow the vibration data. Determine a variety of maintenance programs.
  • the processor is specifically configured to:
  • the abnormal probability curve of the object to be detected for the first abnormal type and the first maintenance plan are output through the display interface of the display screen.
  • the specific implementation manner of determining the abnormal probability of the object to be detected for multiple abnormal types according to the vibration data may be that the processor prestores a preset training model, and the processor inputs the vibration data into the preset The training model can obtain the abnormal probability of the object to be detected for multiple abnormal types.
  • the vibration detection system determines the abnormal probability of the object to be detected for multiple abnormal types according to the preset training model, which improves the intelligence of the vibration detection system, and when any abnormal type is detected
  • the vibration data and the target video file are output, which is beneficial to improve the timeliness of vibration maintenance.
  • the processor after outputting the target video file of the object to be detected and various maintenance solutions for the object to be detected in the display interface of the display screen, the processor is specifically configured to:
  • the video file after the target maintenance program is executed on the object to be detected is displayed on the display screen.
  • the start position of the drag operation is any position in the display area of the target maintenance plan
  • the end position of the drag operation is any position in the display area of the target video file.
  • the target video file is displayed on the upper part of the display interface of the display screen, and multiple maintenance schemes are displayed on the lower part.
  • a drag operation for any target maintenance scheme is detected, for example, for maintenance
  • the video file after executing the target maintenance scheme can be displayed below the target video file, covering multiple maintenance schemes, as shown in Figure 1D, so that the target video file and the target maintenance scheme are executed
  • the later video files can be displayed for comparison.
  • the vibration detection system outputs the target video file and multiple maintenance plans, and after detecting a drag operation for any target maintenance plan, it outputs the predicted video file that performs the target maintenance plan, which is convenient for the user Observe the effect of the target maintenance program, and improve the intelligence of vibration detection and maintenance.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Studio Devices (AREA)

Abstract

L'invention concerne un système de mesure de vibrations, comprenant un dispositif d'acquisition vidéo (101), un dispositif d'acquisition de données environnementales (102) et un appareil de mesure (103). Le dispositif d'acquisition vidéo (101), le dispositif d'acquisition de données environnementales (102) et l'appareil de mesure (103) sont des appareils intégrés portables. Le dispositif d'acquisition vidéo (101) comprend une caméra (104). L'appareil de mesure (103) comprend un processeur (105) et un écran d'affichage (106), et est connecté en communication à la caméra (104) et au dispositif d'acquisition de données environnementales (102). La caméra (104) acquiert une première vidéo d'un objet de mesure et transmet celle-ci à l'appareil de mesure (103). Le dispositif d'acquisition de données environnementales (102) acquiert des informations d'humidité et transmet celles-ci à l'appareil de mesure (103). Le processeur (105) traite la première vidéo reçue conformément à un algorithme de mesure de vibrations prédéfini de façon à obtenir un fichier vidéo cible, détermine un coefficient de vibration de l'objet de mesure conformément au fichier vidéo cible et aux informations d'humidité, et délivre des informations d'indication d'anomalie. Le système améliore les résultats de mesure en temps réel et améliore efficacement la commodité de la réalisation d'une mesure de vibrations.
PCT/CN2020/105618 2019-04-26 2020-07-29 Système de mesure de vibrations WO2021052021A1 (fr)

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CN201910348412 2019-04-26
CN201910902571.7A CN110595605A (zh) 2019-04-26 2019-09-20 振动检测系统
CN201910902571.7 2019-09-20

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CN112254801B (zh) * 2020-12-21 2021-04-02 浙江中自庆安新能源技术有限公司 一种微小振动视觉测量方法及系统
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