CN108387309A - A kind of turbine shafting vibrating data collection, pretreatment and remotely send system - Google Patents
A kind of turbine shafting vibrating data collection, pretreatment and remotely send system Download PDFInfo
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Abstract
A kind of turbine shafting vibrating data collection of present invention proposition pre-processes and remotely sends system, including：Key signal sensor, key signal modulate circuit, at least one vibration signal sensor group, at least one vibration signal modulate circuit, pulse counter, multi-channel synchronous digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module, ethernet communication module and Cloud Server.Multi-channel synchronous turbine shafting vibrating data collection, complicated real-time pretreatment and sending function are integrated into a system by the present invention, this system is directed to based on internet, the turbine shafting vibration acquisition of big data, pretreatment and remotely sends business demand, actual needs based on data analysis, it will in real time be pre-processed after original vibrating data collection and feature extraction, utilize network remote to send the required characteristic value of data analysis.
Description
Technical field
The present invention relates to turbine shafting vibrating data collection analysis field, more particularly to a kind of turbine shafting vibration number
Send according to acquisition, pretreatment and remotely system.
Background technology
Turbine shafting vibration acquisition refers to acquiring the vibration signal (displacement) at each position of turbine spindle, and be sent to
Associated analysis apparatus.The synchronization and triggering of vibration signal are all determined that key signal is on spindle by the same key signal
There are one tooth socket, axis often rotates one week this signal and will trigger once.In general, requiring, regardless of rotating speed, often to rotate one
All integral number power points (being usually 128) for needing to acquire fixed 2 (between two key signals), i.e., it is integer-period sampled.
Vibration signal is theoretically a cycle signal, but since rotating speed is non-constant, so swing circle is variation, this is vibration number
According to the maximum difficult point of acquisition.
Meanwhile vibrating original data volume and very having greatly, the initial data of multi-axial Simultaneous acquisition is per second up to tens of megabytes,
Massive band width resource need to be occupied by network transmission, cost is high.Caused by this is mainly network transmission technology bottleneck, and the skill
Art bottleneck is not easy to break through.
Further, since vibration data amount is very huge, and the users such as power plant remotely sent vibration data in the past, carried out remote
Cheng Yunwei does not have active demand.So Steam Turbine Vibration analysis mode traditional at present is in-site collecting, local analysis, steam turbine
Shafting vibration analytical equipment arranges place closer with data acquisition device at the scene.Even if certain vibration analysis devices consider
Long-range sending function, but since its major function is directed to local analysis, to sides such as the strategy, performance, the safety that remotely send
Face considers not comprehensive enough.As the development of industry internet technology will be mechanical in conjunction with data acquisition, pretreatment and mechanics of communication
Equipment-related data is sent to that remote maintenance system is analyzed, diagnosed, O＆M is inexorable trend.
The technology realization of existing apparatus use is integer-period sampled generally two kinds of hardware phase-locked-loop tracking and software resampling
Mode.The major defect of wherein hardware phase-locked-loop tracking is that system response turbine speed changes and convergence needs are certain again
Time, therefore larger error can be caused in rotation speed change, its advantage is that simply, being gradually in the rank being eliminated at present
Section；The shortcomings that software resampling is to need a large amount of hardware computing resource (memory, CPU), and strong to the dependence of algorithm (algorithm is excellent
Bad and complexity decides the precision of resampling), but its precision is high, and delay is small, with the obvious advantage compared with phaselocked loop tracks.
Existing scene Steam Turbine Vibration data acquisition device is generally difficult to realize resampling methods, or is only capable of realizing simple
Resampling methods, processing mode is that the initial data of vibration is sent to live computing capability by short distance LAN is stronger
Vibration analysis device (such as TDM systems) realize.Novel maintenance platform need to obtain data from the vibration analysis apparatus system such as TDM,
And existing vibration analysis device is designed mainly for local analysis, supports not enough, to be unfavorable for carrying out to the long-range transmission of data
Steam turbine novel maintenance.
The mode of existing Steam Turbine Vibration harvester generally use high speed acquisition, is constantly acquired with a very high frequency
And transmission data, which results in the great wasting of resources (including computing resource, storage resource, sensor life-time, power consumption, networks
Bandwidth etc.).In fact, in steam turbine normal course of operation, the variation tendency of shafting vibration is extremely slowly, not need to one
It is straight to acquire and analyze with keeping high-frequency, but existing method can only use high frequency in order to ensure to capture abnormal vibration
The mode of uninterrupted sampling, system intelligent degree are low.In simple terms, existing turbine shafting vibration acquisition device can only " letter
The acquisition of single inefficient rate, simple process are simultaneously sent ", self judgment and acquisition and pretreatment strategy can not be updated.
Available data harvester generally takes the mode for sending initial data, sends data to the vibration point at scene
Analysis system.Therefore data acquisition device is very low to data prediction degree, such as only carries out simply filtering, normalizing etc..Phase
The system hardware and logical construction answered are also fairly simple, and " sensor/transmitter+front end modulate circuit+digital-to-analogue conversion is usually taken
The structure of device (ADC)+controller (ARM or microcontroller)+communication module ", signal processing especially digital signal processing compared with
Less or do not have.This structure is suitable for the case where in-site collecting, local analysis, but is not suitable for remote diagnosis Internet-based
Business.
Also, remote data is sent there are safety problem, existing apparatus does not all account for data encryption problem generally.
Invention content
To solve the above problems, the present invention proposes a kind of turbine shafting vibrating data collection, pretreatment and long-range hair
System is sent, acquisition process and the transmission of teledata are realized.
First, the present invention proposes a kind of turbine shafting vibrating data collection, pretreatment and remotely sends system, including：
Key signal sensor, key signal modulate circuit, at least one vibration signal sensor group, the conditioning of at least one vibration signal
Circuit, pulse counter, multi-channel synchronous digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module, Ethernet
Communication module and Cloud Server；
The key signal sensor is connect with key signal modulate circuit, by the original key signal enter key phase of acquisition
Signal conditioning circuit；
One vibration signal sensor group is correspondingly connected with a vibration signal modulate circuit, and the vibration signal passes
Sensor group includes measuring to be mutually perpendicular to, and be each perpendicular to the vibration signal sensor of the vibration signal of axial both direction；
The pulse counter is connect with key signal modulate circuit, the pulse that detection key signal modulate circuit is exported
Signal；The pulse counter transmits count information and receives configuration-direct by spi bus and ARM controller connecting communication；
The pulse counter is also connect with multi-channel synchronous digital analog converter；
The multi-channel synchronous digital analog converter is connect with each vibration signal modulate circuit and ARM controller, according to pulse
The sample rate of the control command setting of the trigger signal and ARM controller of counter, to all through vibration signal modulate circuit
The vibration signal of conditioning carries out digital-to-analogue conversion, and the digital quantity of conversion is transmitted to ARM controller；
The ARM controller is also connect with SRAM, and ARM controller is being received from multi-channel synchronous digital analog converter
It after data, is written into SRAM using the interface mode of FSMC, after data volume reaches preset value, controls multi-channel synchronous number
Mode converter is stopped；
The FPGA high-performance calculations module is connect and is communicated with ARM controller by parallel general purpose I/O, is controlled by ARM
Device calls the data stored in SRAM；
The ethernet communication module is connect with ARM controller and Cloud Server, completes data buffer storage, procotol conversion
It is sent with data；Data are sent to Cloud Server according to the strategy that ARM controller provides by VPN；
The Cloud Server sends control strategy by ethernet communication module to ARM controller.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the key signal
Modulate circuit includes：Voltage clamping and isolation circuit, scaling circuit, first-order bandpass filter circuit and Schmidt trigger；
Transient Suppression Diode and linear optical coupling in the voltage clamping and isolation circuit limit input voltage range
In safe range, while allowing key signal and the isolation of system；Signal condition to 0-5V is marked by scaling circuit
Calibration signal；Very low frequencies and high-frequency noise are filtered out by first-order bandpass filter circuit；The hysteresis ratio being made up of Schmidt trigger
It is TTL logic level signals to handle key signal compared with device.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, vibration signal conditioning
Circuit includes：Esd protection circuit, single order RC low-pass filter circuits, active ac termination power and scaling circuit；
The esd protection circuit is for reducing electromagnetic interference and power grid surge；Single order RC low-pass filter circuits filter out high frequency
Noise；Active ac termination power filters out redundant direct current component；Scaling circuit is by signal condition to multi-channel synchronous digital-to-analogue
The range ability of converter.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the step-by-step counting
Device is able to record total number of pulses, and exports trigger signal when pulse arrives and adopted to multi-channel synchronous digital analog converter
Sample synchronizes.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the FPGA high
Can computing module include：Preprocessing module, characteristic extracting module, frequency acquisition intelligent adjustment module and encrypting module.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system：
The preprocessing module pre-processes each vibration signal, including：At software resampling and/or baseline drift
Reason and/or data smoothing processing and/or Hz noise processing and/or digital filtering processing and/or data cutout, split and
Combined treatment；
The characteristic extracting module carries out feature extraction to passing through pretreated each vibration signal, including：In quick Fu
Leaf transformation and/or empirical mode decomposition and/or wavelet transformation and/or standard deviation calculating and/or mean value computation and/or peak
Peak computational and/or orbit of shaft center calculating and/or rotating speed calculating and/or frequency spectrum and the calculating of frequency multiplication value and/or Bode diagram meter
It calculates；
The frequency acquisition intelligent adjustment module is adjusted by ARM controller according to the result of calculation of characteristic extracting module
With rule-based library analyzes and determines whether turbine shafting vibration is abnormal, and according to analytical judgment result adjustment system acquisition frequency
Rate；
The encrypting module is used to need the data packet remotely sent to encrypt ARM controller, and the cipher mode includes
AES and rsa encryption.
It is described to be controlled by ARM in a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system
Device processed is called according to the result of calculation of characteristic extracting module, rule-based library, whether analyzes and determines turbine shafting vibration
It is abnormal, and according to result adjustment system acquisition frequency is analyzed and determined, specially：
Judge whether poor vibration standard, mean value and peak-to-peak value are more than alarm range, if any value is more than alarm range,
Acquisition dormancy time t is set as 0 second, and jumps out this step；
Using the risk method of discrimination based on BP neural network, by standard deviation, mean value, peak-to-peak value, orbit of shaft center mean value and
Frequency multiplication Distribution value feature inputs BP neural network, and it is 0~1 that BP neural network, which exports risk discreet value f, f, acquisition dormancy time t
=t0× (1-f), wherein t0Maximum time interval is referred to be preset；
Wherein BP neural network is that pre- first pass through is trained and be stored in frequency acquisition intelligent adjustment module, and the BP is refreshing
Through network parameter and t0Cloud Server remotely modifying can be passed through.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the ether Netcom
Interrogating module includes：Remote message receiving module, MQTT sending modules, data pull module, message queue and SPI data exchange moulds
Block, the specific means of communication include；
It initializes the message queue that length is 500 to buffer, MQTT is established with Cloud Server by MQTT sending modules and is connect,
MQTT connections will automatically attempt to reconnection after disconnecting；
Initial message sends service, which can utilize data pull module automatically in order in MQTT successful connections
The data in message queue are read, and Cloud Server is sent data to using MQTT sending modules according to corresponding strategy, number
The data are deleted in message queue according to after sending successfully；
SPI data exchange modules write ARM controller packing and encrypted data and corresponding sending strategy in order
Enter message queue.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, ARM controller will
After encrypted data and sending strategy are sent to ethernet communication module, the pulse counter, multichannel in the system are same
Step number mode converter, ARM controller, SRAM, FPGA high-performance calculation module enter dormant state, are adopted according to dormancy time
Collect the dormancy time that frequency determines, after the completion of suspend mode, system reopens pulse counter, multi-channel synchronous under ARM controls
Digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module.
It is described in any turbine shafting vibrating data collection described above, pretreatment and long-range transmission system
System receives order and data by ethernet communication module, and the order and data are sent to ARM controller, to described
Each module in system carries out upgrading and remotely modifying is safeguarded.
The present invention by multi-channel synchronous turbine shafting vibrating data collection, complicated real-time pre-process and sending function collection
At in a system, this system is directed to based on internet, the turbine shafting vibration acquisition of big data, pretreatment and long-range hair
Business demand is sent, the actual needs based on data analysis will in real time be pre-processed and feature after original vibrating data collection
Extraction sends the required characteristic value of data analysis using network remote.
Advantage of the invention is that：
It is integrated with intelligent acquisition Frequency Adjustment Function, preliminary analysis can be carried out simultaneously to the characteristic value of Steam Turbine Vibration data
Dynamic adjustment frequency acquisition, reduces unnecessary resource consumption；
System is integrated with the high-performance embedded processor based on ARM and FPGA on hardware, can realize complicated base
In the pretreatment of the integer-period sampled technology and real-time high computation complexity of software resampling, such as Fast Fourier Transform (FFT)
(FFT), empirical mode decomposition (EMD), wavelet transformation (wavelet transform) and AES and RSA cryptographic algorithms increase
The safety of data, improves the availability of system.
Remote control can be carried out by network, increase system upgrade and the convenience of maintenance, while Different field
Device can realize interaction under the control of Terminal Server Client, for the Steam Turbine Vibration analysis method based on internet and big data
It provides the foundation.
Steam Turbine Vibration characteristic value can remotely be sent, the data analysis requirements of steam turbine novel maintenance can be met,
It has broken away from the pattern of traditional in-site collecting local analysis, while having been avoided directly further through the method for the characteristic value that sends that treated
Receive and send the network bandwidth bottleneck that a large amount of original vibration datas face.
Description of the drawings
It, below will be to embodiment or the prior art in order to illustrate more clearly of the present invention or technical solution in the prior art
Attached drawing needed in description is briefly described, it should be apparent that, the accompanying drawings in the following description is only in the present invention
Some embodiments recorded for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of turbine shafting vibrating data collection of the present invention, pretreatment and long-range transmission system embodiment structure
Schematic diagram；
Fig. 2 is key signal in a kind of turbine shafting vibrating data collection of the present invention, pretreatment and long-range transmission system
Modulate circuit example structure schematic diagram；
Fig. 3 is vibration signal in a kind of turbine shafting vibrating data collection of the present invention, pretreatment and long-range transmission system
Modulate circuit example structure schematic diagram；
Fig. 4 is FPGA high in a kind of turbine shafting vibrating data collection of the present invention, pretreatment and long-range transmission system
It can computing module example structure schematic diagram；
Fig. 5 is ether Netcom in a kind of turbine shafting vibrating data collection of the present invention, pretreatment and long-range transmission system
Interrogate module embodiments structural schematic diagram.
Specific implementation mode
In order to make those skilled in the art more fully understand the technical solution in the embodiment of the present invention, and make the present invention's
Above objects, features, and advantages can be more obvious and easy to understand, makees below in conjunction with the accompanying drawings to technical solution in the present invention further detailed
Thin explanation.
A kind of turbine shafting vibrating data collection of present invention proposition pre-processes and remotely sends system, as shown in Figure 1,
Including：Key signal sensor 101, key signal modulate circuit 102, at least one vibration signal sensor group 103, one is shaken
Dynamic signal transducer group includes X-direction sensor and Y-direction sensor, at least one vibration signal modulate circuit 104, pulse
Counter 105, multi-channel synchronous digital analog converter 106, ARM controller 107, SRAM 108, FPGA high-performance calculation modules
109, ethernet communication module 110 and Cloud Server 111；
The key signal sensor is connect with key signal modulate circuit, by the original key signal enter key phase of acquisition
Signal conditioning circuit；There is the problems such as interfering and is non-standard in the original key signal of key signal sensor output, therefore first
Key signal modulate circuit is inputted, key signal sensor therein is a kind of current vortex range sensor, can be to export electricity
The mode of pressure amount characterizes at a distance from sensor probe and metal surface (key mutually disk) i.e. on turbine shaft, due on key mutually disk
There are tooth socket, thus steam turbine every time at rotation to tooth socket when, metal surface will mutate in probe distance, i.e. steam turbine
The key signal sensor that often rotates a circle will export a pulse.
One vibration signal sensor group is correspondingly connected with a vibration signal modulate circuit, and the vibration signal passes
Sensor group includes measuring to be mutually perpendicular to, and be each perpendicular to the vibration signal sensor of the vibration signal of axial both direction；
Vibration signal sensor therein is also a kind of current vortex range sensor, but the position of its monitoring and function are passed with key signal
Sensor is different, it is mounted near the key position (i.e. monitoring point) of shaft, continuous high speed measuring probe at a distance from axis, this
The time series that a little distances are constituted is the vibration original signal that turbine shaft ties up to the point, and for each group of monitoring point, this is
Unified test amount is mutually perpendicular to and is each perpendicular to the vibration of axial both direction, i.e., in three-dimensional system of coordinate, if axis is Z-direction, this
Vibration of the systematic survey axis along X and Y-direction.
The pulse counter is connect with key signal modulate circuit, the pulse that detection key signal modulate circuit is exported
Signal, the beginning (0 phase point) of arrival one new steam turbine swing circle of characterization of pulse signal；Pulse counter can be remembered
It records total number of pulses (i.e. total all numbers of steam turbine rotation) and exports trigger signal when pulse arrives and give multi-channel synchronous number
Mode converter is to sample-synchronous, which also exports to ARM controller simultaneously, therefore the pulse counter is total by SPI
Line and ARM controller connecting communication transmit count information and receive configuration-direct；The pulse counter also with multi-channel synchronous
Digital analog converter connects.
The multi-channel synchronous digital analog converter is connect with each vibration signal modulate circuit and ARM controller, according to pulse
The sample rate of the control command setting of the trigger signal and ARM controller of counter, to all through vibration signal modulate circuit
The vibration signal of conditioning carries out digital-to-analogue conversion, constantly converts the analog voltage amount for characterizing vibration values to digital quantity, and will conversion
Digital quantity be transmitted to ARM controller；It is connect by parallel interface with ARM controller, and work beginning and end has ARM controls
Device controls.
The ARM controller is also connect with SRAM, and ARM controller is being received from multi-channel synchronous digital analog converter
It after data, is written into SRAM using the interface mode of FSMC, (based on pulse counter after data volume reaches preset value
Count results acquire the total data that steam turbine rotates specific all numbers), control multi-channel synchronous digital analog converter stops work
Make；In the process, it is also stored and is written in SRAM at the time of each pulse that pulse counter generates.
The FPGA high-performance calculations module is connect and is communicated with ARM controller by parallel general purpose I/O, is controlled by ARM
Device calls the data stored in SRAM；In the process, ARM controller is in fact a function served as bridge.
The ethernet communication module is connect with ARM controller and Cloud Server, completes data buffer storage, procotol conversion
It is sent with data；Data are sent to Cloud Server according to the strategy that ARM controller provides by VPN；
The Cloud Server sends control strategy by ethernet communication module to ARM controller.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the key signal
Modulate circuit, as shown in Fig. 2, including：Voltage clamping and isolation circuit 201, scaling circuit 202, first-order bandpass filtered electrical
Road 203 and Schmidt trigger 204；
Transient Suppression Diode and linear optical coupling in the voltage clamping and isolation circuit limit input voltage range
In safe range, while allowing key signal and the isolation of system；Signal condition to 0-5V is marked by scaling circuit
Calibration signal；Very low frequencies and high-frequency noise are filtered out by first-order bandpass filter circuit, free transmission range can be 0.1Hz-1KHz；Pass through
Key signal processing is TTL logic level signals by the hysteresis loop comparator that Schmidt trigger is constituted, while filtering out burr interference.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, vibration signal conditioning
Circuit, as shown in figure 3, including：Esd protection circuit 301, single order RC low-pass filter circuits 302, active ac termination power 303
And scaling circuit 304；Each turbine shafting vibration monitoring point has one group of (XY two) vibration signal sensor, right
In each group of signal, respective signal conditioning circuit is respectively enterd, the structures of these signal conditioning circuits is identical, but parameter
May be different, each modulate circuit receives the vibration signal from two sensors of XY and respectively according to exact same way
The two signals are carried out with independent and parallel conditioning：
It influence that the esd protection circuit generates system for reducing electromagnetic interference and power grid surge and may bring
Damage risk；Single order RC low-pass filter circuits filter out high-frequency noise, cutoff frequency 500Hz；Active ac termination power filters out
Redundant direct current component, redundant direct current component refer to that (characterization is popped one's head in and the static state of axis for the DC component nonsensical to data analysis
Distance), while playing the role of isolation buffer；Scaling circuit is by signal condition to the amount of multi-channel synchronous digital analog converter
Journey range, the scaling circuit are based on operational amplifier.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the step-by-step counting
Device is able to record total number of pulses, and exports trigger signal when pulse arrives and adopted to multi-channel synchronous digital analog converter
Sample synchronizes.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the FPGA high
Energy computing module, as shown in figure 4, including：Preprocessing module 401, characteristic extracting module 402, frequency acquisition intelligent adjustment module
403 and encrypting module 404.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system：
The preprocessing module pre-processes each vibration signal, including：At software resampling and/or baseline drift
Reason and/or data smoothing processing and/or Hz noise processing and/or digital filtering processing and/or data cutout, split and
Combined treatment；Processing method during this not necessarily uses partly or entirely, but is carried out according to configuration strategy corresponding
It calls；
The characteristic extracting module carries out feature extraction to passing through pretreated each vibration signal, including：In quick Fu
Leaf transformation and/or empirical mode decomposition and/or wavelet transformation and/or standard deviation calculating and/or mean value computation and/or peak
Peak computational and/or orbit of shaft center calculating and/or rotating speed calculating and/or frequency spectrum and the calculating of frequency multiplication value and/or Bode diagram meter
It calculates；Processing method during this not necessarily uses partly or entirely, but is called accordingly according to configuration strategy, root
The individual features value extracted according to result of calculation will return in ARM controller；
The frequency acquisition intelligent adjustment module is adjusted by ARM controller according to the result of calculation of characteristic extracting module
With rule-based library analyzes and determines whether turbine shafting vibration is abnormal, and according to analytical judgment result adjustment system acquisition frequency
Rate；
The encrypting module is used to need the data packet remotely sent to encrypt ARM controller, and the cipher mode includes
AES and rsa encryption.
It is described to be controlled by ARM in a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system
Device processed is called according to the result of calculation of characteristic extracting module, rule-based library, whether analyzes and determines turbine shafting vibration
It is abnormal, and according to result adjustment system acquisition frequency is analyzed and determined, specially：
Judge whether poor vibration standard, mean value and peak-to-peak value are more than alarm range, if any value is more than alarm range,
Acquisition dormancy time t is set as 0 second, and jumps out this step；
Using the risk method of discrimination based on BP neural network, by standard deviation, mean value, peak-to-peak value, orbit of shaft center mean value and
Frequency multiplication Distribution value feature inputs BP neural network, and it is 0~1,00 risk of expression, 1 table that BP neural network, which exports risk discreet value f, f,
Show risk probability 100%, acquisition dormancy time t=t0× (1-f), wherein t0Maximum time interval is referred to be preset；
Wherein BP neural network is that pre- first pass through is trained and be stored in frequency acquisition intelligent adjustment module, and the BP is refreshing
Through network parameter and t0Cloud Server remotely modifying can be passed through.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, the ether Netcom
Module is interrogated, as shown in figure 5, including：Remote message receiving module 501, MQTT sending modules 502, data pull module 503, SPI
Data exchange module 504 and message queue 505, the specific means of communication include；
It initializes the message queue that length is 500 to buffer, MQTT is established with Cloud Server by MQTT sending modules and is connect,
MQTT connections will automatically attempt to reconnection after disconnecting；
Initial message sends service, which can utilize data pull module automatically in order in MQTT successful connections
The data in message queue are read, and Cloud Server is sent data to using MQTT sending modules according to corresponding strategy, number
The data are deleted in message queue according to after sending successfully；
Wherein two above step is only executed when first time data are sent；
SPI data exchange modules write ARM controller packing and encrypted data and corresponding sending strategy in order
Enter message queue.
In a kind of turbine shafting vibrating data collection, pretreatment and long-range transmission system, ARM controller will
After encrypted data and sending strategy are sent to ethernet communication module, the pulse counter, multichannel in the system are same
Step number mode converter, ARM controller, SRAM, FPGA high-performance calculation module enter dormant state, are adopted according to dormancy time
Collect the dormancy time that frequency determines, after the completion of suspend mode, system reopens pulse counter, multi-channel synchronous under ARM controls
Digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module.And sensor and signal conditioning circuit are not all always not
Disconnected work, other courses of work are that cycle executes.
It is described in any turbine shafting vibrating data collection described above, pretreatment and long-range transmission system
System receives order and data by ethernet communication module, and the order and data are sent to ARM controller, to described
Each module in system carries out upgrading and remotely modifying is safeguarded.I.e. system can be connect by ethernet communication modular terminal remote message
It receives module and receives order and data, and ARM controller is sent information to realize long-range dimension using SPI data exchange modules
Shield, realize system upgrade and function modification, remote maintenance functions include configure and modification ARM controller control strategy, configuration and
Change the algorithm and strategy of FPGA high-performance calculation modules.
The present invention by multi-channel synchronous turbine shafting vibrating data collection, complicated real-time pre-process and sending function collection
At in a system, this system is directed to based on internet, the turbine shafting vibration acquisition of big data, pretreatment and long-range hair
Business demand is sent, the actual needs based on data analysis will in real time be pre-processed and feature after original vibrating data collection
Extraction sends the required characteristic value of data analysis using network remote.
Advantage of the invention is that：
It is integrated with intelligent acquisition Frequency Adjustment Function, preliminary analysis can be carried out simultaneously to the characteristic value of Steam Turbine Vibration data
Dynamic adjustment frequency acquisition, reduces unnecessary resource consumption；
System is integrated with the high-performance embedded processor based on ARM and FPGA on hardware, can realize complicated base
In the pretreatment of the integer-period sampled technology and real-time high computation complexity of software resampling, such as Fast Fourier Transform (FFT)
(FFT), empirical mode decomposition (EMD), wavelet transformation (wavelet transform) and AES and RSA cryptographic algorithms increase
The safety of data, improves the availability of system.
Steam Turbine Vibration characteristic value can remotely be sent, the data analysis requirements of steam turbine novel maintenance can be met,
It has broken away from the pattern of traditional in-site collecting local analysis, while having been avoided directly further through the method for the characteristic value that sends that treated
Receive and send the network bandwidth bottleneck that a large amount of original vibration datas face.
Remote control can be carried out by network, increase system upgrade and the convenience of maintenance, while Different field
Device can realize interaction under the control of Terminal Server Client, for the Steam Turbine Vibration analysis method based on internet and big data
It provides the foundation.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can
It is realized by the mode of software plus required general hardware platform.Each embodiment in this specification is all made of progressive side
Formula describe, the same or similar parts between the embodiments can be referred to each other, the highlights of each of the examples are with its
The difference of his embodiment.For system embodiment, since it is substantially similar to the method embodiment, so retouching
That states is fairly simple, and the relevent part can refer to the partial explaination of embodiments of method.
Although depicting the present invention by embodiment, it will be appreciated by the skilled addressee that the present invention there are many deformation and
Change the spirit without departing from the present invention, it is desirable to which the attached claims include these deformations and change without departing from the present invention's
Spirit.
Claims (10)
1. a kind of turbine shafting vibrating data collection pre-processes and remotely sends system, which is characterized in that including：Key is believed
Number sensor, key signal modulate circuit, at least one vibration signal sensor group, at least one vibration signal modulate circuit,
Pulse counter, multi-channel synchronous digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module, ethernet communication
Module and Cloud Server；
The key signal sensor is connect with key signal modulate circuit, and the original key signal of acquisition is inputted key signal
Modulate circuit；
One vibration signal sensor group is correspondingly connected with a vibration signal modulate circuit, the vibration signal sensor
Group includes measuring to be mutually perpendicular to, and be each perpendicular to the vibration signal sensor of the vibration signal of axial both direction；
The pulse counter is connect with key signal modulate circuit, the pulse letter that detection key signal modulate circuit is exported
Number；The pulse counter transmits count information and receives configuration-direct by spi bus and ARM controller connecting communication；Institute
Pulse counter is stated also to connect with multi-channel synchronous digital analog converter；
The multi-channel synchronous digital analog converter is connect with each vibration signal modulate circuit and ARM controller, according to step-by-step counting
The sample rate of the control command setting of the trigger signal and ARM controller of device, improves through vibration signal modulate circuit all
Vibration signal carry out digital-to-analogue conversion, and the digital quantity of conversion is transmitted to ARM controller；
The ARM controller is also connect with SRAM, and ARM controller is receiving the data from multi-channel synchronous digital analog converter
Afterwards, it is written into SRAM using the interface mode of FSMC, after data volume reaches preset value, control multi-channel synchronous digital-to-analogue turns
Parallel operation is stopped；Meanwhile the time that pulse counter is generated to each pulse stores and is written in SRAM；
The FPGA high-performance calculations module is connect and is communicated with ARM controller by parallel general purpose I/O, passes through ARM controller tune
With the data stored in SRAM；
The ethernet communication module is connect with ARM controller and Cloud Server, completes data buffer storage, procotol converts sum number
According to transmission；Data are sent to Cloud Server according to the strategy that ARM controller provides by VPN；
The Cloud Server sends control strategy by ethernet communication module to ARM controller.
2. a kind of turbine shafting vibrating data collection as described in claim 1 pre-processes and remotely sends system, feature
It is, the key signal modulate circuit includes：Voltage clamping and isolation circuit, scaling circuit, first-order bandpass filtered electrical
Road and Schmidt trigger；
Input voltage range is limited in peace by Transient Suppression Diode and linear optical coupling in the voltage clamping and isolation circuit
In gamut, while allowing key signal and the isolation of system；Signal condition to 0-5V standards is believed by scaling circuit
Number；Very low frequencies and high-frequency noise are filtered out by first-order bandpass filter circuit；The hysteresis loop comparator being made up of Schmidt trigger
It is TTL logic level signals by key signal processing.
3. a kind of turbine shafting vibrating data collection as described in claim 1 pre-processes and remotely sends system, feature
It is, vibration signal modulate circuit includes：Esd protection circuit, single order RC low-pass filter circuits, active ac termination power and ratio
Example amplifying circuit；
The esd protection circuit is for reducing electromagnetic interference and power grid surge；Single order RC low-pass filter circuits filter out high-frequency noise；
Active ac termination power filters out redundant direct current component；Scaling circuit is by signal condition to multi-channel synchronous digital analog converter
Range ability.
4. a kind of turbine shafting vibrating data collection as described in claim 1 pre-processes and remotely sends system, feature
It is, the pulse counter is able to record total number of pulses, and it is same to multichannel to export when pulse arrives trigger signal
Step number mode converter carries out sample-synchronous.
5. a kind of turbine shafting vibrating data collection as described in claim 1 pre-processes and remotely sends system, feature
It is, the FPGA high-performance calculations module includes：Preprocessing module, characteristic extracting module, frequency acquisition intelligent adjustment module
And encrypting module.
6. a kind of turbine shafting vibrating data collection as claimed in claim 5 pre-processes and remotely sends system, feature
It is：
The preprocessing module pre-processes each vibration signal, including：Software resampling and/or baseline drift processing,
And/or data smoothing processing and/or Hz noise handle and/or digital filtering handles and/or data cutout, fractionation and group
Conjunction is handled；
The characteristic extracting module carries out feature extraction to passing through pretreated each vibration signal, including：Fast Fourier becomes
It changes and/or empirical mode decomposition and/or wavelet transformation and/or standard deviation calculate and/or mean value computation and/or peak-to-peak value
Calculating and/or orbit of shaft center calculating and/or rotating speed calculating and/or frequency spectrum and the calculating of frequency multiplication value and/or Bode diagram calculate；
The frequency acquisition intelligent adjustment module is called by ARM controller according to the result of calculation of characteristic extracting module, base
In rule base, analyze and determine whether turbine shafting vibration is abnormal, and system acquisition frequency is adjusted according to analytical judgment result；
The encrypting module be used for by ARM controller need the data packet remotely sent encrypt, the cipher mode include AES and
Rsa encryption.
7. a kind of turbine shafting vibrating data collection as claimed in claim 6 pre-processes and remotely sends system, feature
It is, described to be called according to the result of calculation of characteristic extracting module by ARM controller, rule-based library, analyzes and determines
Whether turbine shafting vibration is abnormal, and according to result adjustment system acquisition frequency is analyzed and determined, specially：
Judge whether poor vibration standard, mean value and peak-to-peak value are more than alarm range and will be adopted if any value is more than alarm range
Collection dormancy time t is set as 0 second, and jumps out this step；
Using the risk method of discrimination based on BP neural network, by standard deviation, mean value, peak-to-peak value, orbit of shaft center mean value and frequency multiplication
Distribution value feature inputs BP neural network, and it is 0~1 that BP neural network, which exports risk discreet value f, f, acquisition dormancy time t=t0
× (1-f), wherein t0Maximum time interval is referred to be preset；
Wherein BP neural network is trained and is stored in frequency acquisition intelligent adjustment module for pre- first pass through, and the BP nerve nets
Network parameter and t0Cloud Server remotely modifying can be passed through.
8. a kind of turbine shafting vibrating data collection as described in claim 1 pre-processes and remotely sends system, feature
It is, the ethernet communication module includes：Remote message receiving module, MQTT sending modules, data pull module, message team
Row and SPI data exchange modules, the specific means of communication include；
It initializes the message queue that length is 500 to buffer, MQTT is established with Cloud Server by MQTT sending modules and is connect, MQTT
Connection will automatically attempt to reconnection after disconnecting；
Initial message sends service, which can in order be read automatically in MQTT successful connections using data pull module
Data in message queue, and Cloud Server, data hair are sent data to using MQTT sending modules according to corresponding strategy
It send and successfully afterwards deletes the data in message queue；
ARM controller packing and encrypted data and corresponding sending strategy are written disappear in order by SPI data exchange modules
Cease queue.
9. a kind of turbine shafting vibrating data collection as claimed in claim 7 pre-processes and remotely sends system, feature
It is, after encrypted data and sending strategy are sent to ethernet communication module by ARM controller, the arteries and veins in the system
It rushes counter, multi-channel synchronous digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module and enters suspend mode shape
State, dormancy time is the dormancy time determined according to frequency acquisition, and after the completion of suspend mode, system reopens arteries and veins under ARM controls
Rush counter, multi-channel synchronous digital analog converter, ARM controller, SRAM, FPGA high-performance calculation module.
10. a kind of turbine shafting vibrating data collection, pretreatment and long-range send as described in claim 1-9 is any are
System, which is characterized in that the system receives order and data by ethernet communication module, and the order and data are sent
To ARM controller, upgrading is carried out to each module in the system and remotely modifying is safeguarded.
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