CN201532559U - Data sampler for extracting various signals of low speed heavy-load apparatus - Google Patents

Data sampler for extracting various signals of low speed heavy-load apparatus Download PDF

Info

Publication number
CN201532559U
CN201532559U CN2009202182297U CN200920218229U CN201532559U CN 201532559 U CN201532559 U CN 201532559U CN 2009202182297 U CN2009202182297 U CN 2009202182297U CN 200920218229 U CN200920218229 U CN 200920218229U CN 201532559 U CN201532559 U CN 201532559U
Authority
CN
China
Prior art keywords
circuit
resonator
controller
signal
module
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Fee Related
Application number
CN2009202182297U
Other languages
Chinese (zh)
Inventor
高立新
王旭
邱志成
郝倩
叶辉
阳子婧
赵元喜
任志强
苏善斌
王燕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Technology
Original Assignee
Beijing University of Technology
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 Beijing University of Technology filed Critical Beijing University of Technology
Priority to CN2009202182297U priority Critical patent/CN201532559U/en
Application granted granted Critical
Publication of CN201532559U publication Critical patent/CN201532559U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The utility model relates to a data sampler for extracting various signals of a low speed heavy-load apparatus, including an acceleration sensor, a temperature sensor, a sound sensor, a resonator, an A/D conversion module, a controller, a communication module, a touch screen and an electronic label module. The resonator includes a photoelectric coupled circuit, a differential amplifying circuit, a resonance circuit, a high-pass filter circuit, a monopole circuit, and an anti-aliasing filter circuit connected in sequence. The acceleration sensor, the temperature sensor and the sound sensor are all connected with the photoelectric coupled circuit of the resonator, the anti-aliasing filter circuit of the resonator is connected with the controller through the A/D conversion module, and the controller is connected with the touch screen, the communication module and the electronic label module respectively. The utility model employs high-frequency resonance technique in a signal conditioning module, and separates noise signals so as to improve signal-noise ratio.

Description

A kind of data acquisition unit that is used to extract the multiple signal of low-speed heave-load device
Technical field
The utility model is a kind of data acquisition unit, is specially a kind of data acquisition unit that is used to extract the multiple signal of low-speed heave-load device.
Background technology
At present, the data acquisition instrument that industry spot is used is a difficult problem for the vibration signals of low-speed heave-load device always, mainly be because in the signal of gathering, mixed a large amount of noise signals, and do not have a kind of application of the effective measure that noise signal is separated.
The utility model content
The utility model proposes a kind of vibration signals collecting instrument that has high-frequency resonance, this acquisition instrument is introduced resonance demodulation technique in the data acquisition of vibration signal, can effectively improve the signal to noise ratio (S/N ratio) of vibration signal.
To achieve these goals, the utility model has been taked following technical scheme.Data acquisition unit in the utility model comprises acceleration transducer, temperature sensor, sound transducer, resonator, the A/D modular converter, controller, communication module, touch-screen and electronic module tag, described resonator comprises the photoelectricity coupled circuit that connects successively, differential amplifier circuit, resonant circuit, high-pass filtering circuit, unipolarity circuit and anti-aliasing filter circuit, acceleration transducer, temperature sensor and sound transducer all link to each other with photoelectricity coupled circuit in the described resonator, anti-aliasing filter circuit in the resonator links to each other with controller by the AD modular converter, controller also respectively with touch-screen, communication module links to each other with electronic module tag.
When there is local damage class fault (as peel off, spot corrosion, crackle etc.) on the bearing element surface of low-speed heave-load device, follows these faults of bearing operation can produce recurrent pulses and impact.In the utility model at its gyro frequency of bearing very low (about 0.1Hz) of low-speed heave-load device, frequency domain is but very wide, and wherein mixed a lot of noise signals, in order to improve signal to noise ratio (S/N ratio) better recognition fault-signal, resonance demodulation technique is not a frequency spectrum of directly analyzing vibration signal, removes to handle vibration signal but " resonator " that a resonance frequency is higher than the conventional vibration frequency far away is set.Vibration conventional, that do not endanger machine safety is soft, is not contained in the spectrum component in " resonator " frequency band, and resonator does not have associated output; And no matter how little the fault impact is, also contains almost unlimited abundant high-frequency energy, can resonate by the excitation resonance device, and fault is impacted and obtained amplification.Adopt resonance demodulation technique, a suitable resonator is set, fault-signal (high frequency) is separated,, can promote the performance of data acquisition system (DAS) to a great extent the noise signal effective isolation at front end.And merged sound and selection of temperature signal, improved diagnostic accuracy plant equipment.The various signal storage of gathering to the storage chip that extends out, finishing after, acquisition tasks are sent to host computer by communication module with the data of collection.Realize man-machine interaction by touch-screen, data collector is assigned acquisition tasks, and write down the performance of the spot check task of assigning, guarantee that every acquisition tasks of assigning is done by electronic tag.
The utility model is the acquisition instrument at vibration, temperature and voice signal, in vibration signals, introduced resonance demodulation technique to improve the vibration signals quality, for next step analyzes vibration signal on computers, the operational situation of diagnosis plant equipment provides prerequisite.
Resonance and demodulation is the technology of an extraordinary elimination vibration signal noise, resonance demodulation technique is incorporated in the data acquisition of vibration signal, can effectively improve the signal to noise ratio (S/N ratio) of vibration signal, even also can effectively extract to the low frequency signal of bearing gyro frequency about 0.1Hz.
Description of drawings
The entire block diagram of Fig. 1 collector
Fig. 2 photoelectricity coupling module circuit diagram
Fig. 3 differential amplifier circuit figure
Fig. 4 resonant circuit figure
Fig. 5 high-pass filtering circuit figure
Fig. 6 unipolarity circuit diagram
Fig. 7 anti-aliasing filter circuit diagram
Fig. 8 A/D change-over circuit figure
Embodiment
The utility model is described in further detail below in conjunction with accompanying drawing:
As shown in Figure 1, data acquisition instrument described in the utility model comprises with the lower part: acceleration transducer, temperature sensor, sound transducer and each sensor interface module, the simulating signal of sensor acquisition is carried out the resonator of front-end processing, with analog signal conversion is the A/D modular converter of digital signal, controller is responsible for whole acquisition system is carried out scheduling of resource and distribution, realize the communication module that slave computer and host computer carry out communication, electronic module tag in order to the performance of marking arrangement spot check work, controller in the present embodiment is based on embedded technology, and have LINUX operating system, in order to each resource of whole acquisition system is dispatched and distribute, the chip of specifically selecting for use is S3C2410.
Sensor acquisition is at first carried out the signal condition of a front end after the simulating signal, and signal condition is realized by resonator in the present embodiment.Resonator comprises photoelectricity coupled circuit, differential amplifier circuit, resonant circuit, high-pass filtering circuit, unipolarity circuit and the anti-aliasing filter circuit that connects successively.Acceleration transducer, temperature sensor, sound transducer are used for gathering acceleration signal, temperature signal or the voice signal of target device vibration, and export to photoelectricity coupled circuit in the resonator with the form of voltage.
A. sensor is adopted into simulating signal, should at first carry out the photoelectricity isolation and separate the interference free performance of enhanced system and safety coefficient with the strong and weak electricity with system.The separation principle of linear optical coupling and common optocoupler do not have difference, just the single-shot list of common optocoupler are received pattern and change a little, increase a photoelectricity receiving circuit that is used to feed back and are used for feedback.Like this, though two optical receiving circuits all are non-linear, the nonlinear characteristic of two optical receiving circuits all is the same, like this, just can offset the non-linear of through path by the non-linear of feedback network, realizes linear purpose of isolating thereby reach.
The utility model has selected for use the high-accuracy linear optical coupling of HCNR200 type of Agilent company to build the photoelectricity coupling module.Adopted the high-accuracy amplifier of LMV321 of TI company to assist the realization voltage of signals to isolate again.Its application circuit is shown in Figure 2 in the explanation accompanying drawing.
Though b. the impact signal of sensor output amplifies through incorporated amplifier, its amplitude is still very little, has decay in transmission course, directly it is not handled if do not amplify, and then distorted signals is quite serious.Therefore selected for use the PGA205 of U.S. Burr-Brown company to build differential amplifier circuit.The maximum characteristics of this chip are for can realize 1,2,4,8 times gain control by online programming.Its application circuit is as shown in Figure 3 in the explanation accompanying drawing.
C. the resonant circuit design is the important step of high frequency resonance technique, and its function is: reject the low-frequency spectra composition of the vibration and the impact of nearly all low frequency, keep the radio-frequency component that impacts; Use its resonance-characteristic, impact is carried out resonance response, realizes the spatial transform of waveform, can realize that the paired pulses impact is amplified, the resonance conversion of broadening.At this characteristics, selected for use the high-accuracy bandpass filter of MAX268 of MAXIM company to realize circuit.MAX268 inside comprises an amplifier and two second-order filter parts, can realize that precision very high bandpass filtering centre frequency, quality factor and operator scheme can set by pin input.Its application circuit is shown in Figure 4 in the explanation accompanying drawing.
D. demodulation has multiple mode, adopts hardware to realize the demodulation of high pass absolute value at this.High pass absolute value demodulator circuit is made of Hi-pass filter and absolute value circuit (being the all-wave precise rectification circuit).The voltage controlled voltage source form is adopted in the design of high-pass filtering circuit, and it only needs several precision resistances and electric capacity just can realize cutoff frequency and gain control very easily.Its application circuit is as shown in Fig. 5 in the explanation accompanying drawing.
E. absolute value circuit also is the unipolarity circuit, control system gain when realizing demodulation.Its application circuit is as shown in Fig. 6 in the explanation accompanying drawing.
F. add the appearance that an anti-aliasing link prevents the signal aliasing phenomenon behind the unipolarity circuit.Adopt 4 rank chebyshev low-pass filters to realize anti-aliasing operation at this.Its application circuit is as shown in Fig. 7 in the explanation accompanying drawing.
Present embodiment adopts ADS7805 to realize that the A/D of signal changes, and is connected with master chip S3C2410, and Fig. 8 is a circuit diagram of realizing the A/D conversion.
Adopted touch screen technology for the realization man-machine interaction, the touch-screen controlling resource on the S3C2410 sheet has directly been drawn, realized the control of user of service instrument.
For realizing the communication of data collector and host computer, draw the serial ports and the USB mouth resource of master chip, give host computer with interim data upload of preserving on the acquisition instrument, conveniently on host computer, data analysis is reached a conclusion.
For adapting to use in industry spot, introduced electronic label technology in the utility model, occur in order to the situation of avoiding omission and flase drop in the spot check task, occurring.Adopted the electronic tag product DS1990A of American Dallas company in the utility model, this electronic tag has the function of anti-electromagnetic interference (EMI), anti-extrusion and oil rub resistance, makes it be adapted at using in the abominable industrial environment.
Present embodiment is used the data acquisition instrument that the embedded technology design has operating system, can realize Multi-task Concurrency, effectively the resource of management system; In the signal condition module, use high frequency resonance technique, noise signal has been separated, improved signal to noise ratio (S/N ratio).

Claims (1)

1. data acquisition unit that is used to extract the multiple signal of low-speed heave-load device, it is characterized in that: comprise acceleration transducer, temperature sensor, sound transducer, resonator, the A/D modular converter, controller, communication module, touch-screen and electronic module tag, described resonator comprises the photoelectricity coupled circuit that connects successively, differential amplifier circuit, resonant circuit, high-pass filtering circuit, unipolarity circuit and anti-aliasing filter circuit, acceleration transducer, temperature sensor and sound transducer all link to each other with photoelectricity coupled circuit in the described resonator, anti-aliasing filter circuit in the resonator links to each other with controller by the AD modular converter, controller also respectively with touch-screen, communication module links to each other with electronic module tag.
CN2009202182297U 2009-10-16 2009-10-16 Data sampler for extracting various signals of low speed heavy-load apparatus Expired - Fee Related CN201532559U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2009202182297U CN201532559U (en) 2009-10-16 2009-10-16 Data sampler for extracting various signals of low speed heavy-load apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2009202182297U CN201532559U (en) 2009-10-16 2009-10-16 Data sampler for extracting various signals of low speed heavy-load apparatus

Publications (1)

Publication Number Publication Date
CN201532559U true CN201532559U (en) 2010-07-21

Family

ID=42527961

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2009202182297U Expired - Fee Related CN201532559U (en) 2009-10-16 2009-10-16 Data sampler for extracting various signals of low speed heavy-load apparatus

Country Status (1)

Country Link
CN (1) CN201532559U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110596425A (en) * 2019-09-23 2019-12-20 成都航空职业技术学院 Noise elimination method for MEMS acceleration sensor of unmanned aerial vehicle
CN112014598A (en) * 2020-08-27 2020-12-01 上海大学 Signal conditioning system for improving low-frequency measurement performance of acceleration sensor

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110596425A (en) * 2019-09-23 2019-12-20 成都航空职业技术学院 Noise elimination method for MEMS acceleration sensor of unmanned aerial vehicle
CN110596425B (en) * 2019-09-23 2021-07-27 成都航空职业技术学院 Noise elimination method for MEMS acceleration sensor of unmanned aerial vehicle
CN112014598A (en) * 2020-08-27 2020-12-01 上海大学 Signal conditioning system for improving low-frequency measurement performance of acceleration sensor
CN112014598B (en) * 2020-08-27 2021-09-17 上海大学 Signal conditioning system for improving low-frequency measurement performance of acceleration sensor

Similar Documents

Publication Publication Date Title
CN104991142B (en) A kind of signal analyzer, device and processing method
CN102426195B (en) Structural damage monitoring system and monitoring method thereof
CN201397367Y (en) Conducted electromagnetic interference noise analyzer of electronic device
CN101696894A (en) Data acquisition device for extracting multiple signals of low-speed heavy loading equipment
CN102914432A (en) Vibration and acoustic transmission signal regulation instrument for detecting mechanical faults
CN107121271B (en) Experimental method for identifying foundation modal parameters of heavy machine tool foundation
CN208872879U (en) A kind of microseism data collection system
CN108169589A (en) Power line communication environment measuring device and test method
CN201532559U (en) Data sampler for extracting various signals of low speed heavy-load apparatus
CN210441978U (en) Multichannel vibration signal acquisition and processing device of piezoelectric type vibration sensor
CN205015408U (en) Signal analyzer and signal processing device
CN103487734A (en) Full-digitalization multi-channel real-time synchronous partial discharge detector
CN209069414U (en) A kind of real-time online vibration monitoring equipment of turbofan aircraft engine
CN201429461Y (en) Vibration signal acquisition unit
CN101216993B (en) A monitoring method and device for the analog interference elimination of the device
CN105466682B (en) A kind of Pneumatic braking system performance testing device and test method
CN102169137B (en) Signal processing method and measuring device for high-voltage frequency converter
CN104879294B (en) A kind of water pump transient signal analytical equipment and method
CN111308226A (en) CAU performance test device
CN203812008U (en) Analog signal collector
CN102818577A (en) Automatic test device for frequency characteristic of laser gyro electromechanical assembly
CN201653613U (en) Torque detection device for torsional spring
CN203572915U (en) Multi-channel synchronous partial discharge detector
CN204302410U (en) The automatic measuring and analysing meter of a kind of intelligent wave shape parameter
CN204646622U (en) A kind of acoustic emission signal collecting device being applied to diaphragm pump one-way valve fault and detecting

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100721

Termination date: 20101016