CN104811373B - A kind of multi-functional real-time synchronization collection things-internet gateway - Google Patents

A kind of multi-functional real-time synchronization collection things-internet gateway Download PDF

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CN104811373B
CN104811373B CN201510065406.2A CN201510065406A CN104811373B CN 104811373 B CN104811373 B CN 104811373B CN 201510065406 A CN201510065406 A CN 201510065406A CN 104811373 B CN104811373 B CN 104811373B
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高晖
罗奇
邓化科
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BEIJING BOHUA ANCHUANG TECHNOLOGY Co.,Ltd.
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Beijing Bohua Xinzhi Technology Co ltd
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Abstract

The present invention relates to a kind of multi-functional real-time synchronization collection things-internet gateway, actual requirement for mechanical fault diagnosis field to signal synchronous collection, avoid because phase deviation has a strong impact on the effect of unit malfunction monitoring diagnosis, this things-internet gateway on the basis of possessing extensive access capability and typical management, protocol conversion function, also have can according to equipment driving and parking status predication rotating speed, the protrusion function of filtering and data syn-chronization correction process in advance;This things-internet gateway can gather the various physical quantitys and electric signal of sensor output, including the sensor such as temperature, pressure, flow, acceleration, speed, current vortex, rotating speed in real time, while can also complete data communication with other systems;On the basis of data acquisition and synchronization process, fine processing analysis can be carried out, calculates various features value, including vibration velocity virtual value, vibration acceleration real peak value, vibration displacement real peak peak value, each frequency multiplication value of vibration signal, GIE values etc..

Description

A kind of multi-functional real-time synchronization collection things-internet gateway
Technical field
The present invention relates to internet of things field, more particularly to a kind of multi-functional real-time synchronization collection things-internet gateway.
Background technology
The working environment of gateway of internet of things typically proceeds by all in gateway after under the conditions of unattended, completing preliminary set Work, it will be by as the tie of connection sensing network and conventional communication networks in future.As gateway device, things-internet gateway can be with The connection between sensing network and communication network, and different type sensing network is realized, can both realize that wide area interconnects, also may be used To realize Interconnected.
Sensor is the basic components of Internet of Things, and typical sensor includes vibrating sensor, temperature sensor, pressure and passed Sensor, flow sensor etc..The signal of different sensor collections is needed by data acquisition processing device, by analog quantity telecommunications Number it is changed into data signal, so as to be transmitted, store and analyze.
In mechanical fault diagnosis field, things-internet gateway is connected with various sensor, and unit reality is obtained from sensor When running status, equipment fault requires higher to signal synchronous collection, once there is deviation or real with unit in unlike signal phase Border rotation phase is inconsistent will to have a strong impact on unit malfunction monitoring diagnosis effect, and setting causes serious, Fire explosion etc. pernicious The generation of accident.
From the actual demand of mechanical Fault Monitoring of HV diagnosis, this things-internet gateway, which removes, possesses extensive access capability and allusion quotation Outside the management of type, protocol conversion function, the synchronization process of signal can be also completed.It is defeated that this things-internet gateway can gather sensor in real time The various physical quantitys and electric signal gone out, including the sensor such as temperature, pressure, flow, acceleration, speed, current vortex, rotating speed, together When can also with other systems complete data communication;On the basis of data acquisition and synchronization process, it can also carry out fine Treatment Analysis, calculate various features value, including vibration velocity virtual value, vibration acceleration real peak value, vibration displacement real peak peak value, Each frequency multiplication value of vibration signal, GIE values etc..
This gateway plays as the key node of mechanical fault diagnosis data transmission and processing important in fault diagnosis field Effect.
The content of the invention
A kind of multi-functional real-time synchronization collection things-internet gateway, it is characterised in that:
The gateway is included with lower unit:Real time data acquisition unit, generating date unit, real time data synchronization processing Unit, CPU processing units, Data Post unit, data transmission unit, data real-time reception unit;
Above-mentioned each unit annexation is:Real time data acquisition unit is connected with generating date unit, after collection Various types of data be transferred to generating date unit;Generating date unit and real time data acquisition unit, data are real-time Synchronous processing unit is connected, and generating date unit is transferred to after the data of reception are completed into filtering, complete cycle intercepting process Real time data synchronization processing unit;Real time data synchronization processing unit and real time data synchronization processing unit, CPU processing unit phases Even, real time data synchronization processing unit is transferred to CPU processing units after the data of reception are synchronized into correction process;At CPU Manage unit respectively with real time data synchronization processing unit, Data Post unit, data real-time reception unit, data transmission unit It is connected, Data Post unit is used to complete data feature values extraction, and data real-time reception unit can receive other equipment collection Data, data transmission unit be used for send the data to Internet of Things management platform.
Further, generating date unit carries out the dynamic linear low pass of 20 times of real-time continuous power frequencies to data waveform Filtering;
Continuous 20 times of power frequencies filtering needs to predict the corresponding rotating speed of waveform in advance, is chosen in advance correspondingly according to the rotating speed The wave filter of flex point, and to accomplish the seamless switching of wave filter, flexibly switching and filtering are done in real time using FPGA, method is such as Under:
1) prediction rotating speed next time is obtained by recursive operation according to history rotating speed, prediction rotating speed calculation formula is as follows:
Wherein it is X'nIt is the prediction rotating speed of n-th, Kn-1It is the correction coefficient of (n-1)th time, Xn-1It is the reality of (n-1)th time Rotating speed,It is (n-1)th Ratio for error modification;β is unit driving characteristic parameter, and its computational methods is as follows:
Wherein Y is unit startup procedure rotary speed data, and num (Y) is generating unit speed data points;
The correction coefficient K of n-thnCalculation formula is as follows:
The Ratio for error modification of n-thCalculation formula is as follows:
2) wave filter according to prediction rotating speed using corresponding flex point, in order to realize the seamless connection of different wave filters, is used Multiple filter is filtered simultaneously, and the output result of respective filter is directly gated according to prediction rotating speed;
Further, it is characterised in that the data synchronization processing mode of real time data synchronization processing unit;
(1) preliminary synchronisation, analog circuit phasing are carried out to data waveform using analog circuit phase-correction filter Wave filter has the characteristic complementary with simulated modulation wave filter, can be corrected to group delay close to linear curve;
(2) data after preliminary synchronisation processing will be handled in the following way:
1) after acceleration passage carries out continuous 10KHz low passes linear filtering, it is resampled to 25.6KHz;
2) after displacement passage carries out continuous 2KHz low passes linear filtering, it is resampled to 5.12KHz;
3) after speed channels carry out continuous 1KHz low passes linear filtering, 2.56KHz is resampled to, it is complete to enter back into integrating circuit Into integration, phasing is then carried out by the phase correction module of a digital circuit again, offsets the phase deviation of different frequency;
4) after stress, strained channel carry out continuous 1KHz low passes linear filtering, it is resampled to 2.56KHz;
5) after traffic channel carries out continuous 500Hz low passes linear filtering, it is resampled to 1KHz;
6) after pressure channel carries out continuous 500Hz low passes linear filtering, it is resampled to 1KHz.
Brief description of the drawings
Fig. 1:Each unit annexation figure of the present invention;
Fig. 2:Real time data synchronization processing unit cut-away view of the embodiment of the present invention;
Fig. 3:Generating unit speed simulation result figure of the embodiment of the present invention;
Fig. 4:Generating date unit multistage filter structure figure of the embodiment of the present invention;
Embodiment
As shown in figure 1, a kind of multi-functional real-time synchronization collection things-internet gateway includes following 7 units:Data are adopted in real time Collect unit, generating date unit, real time data synchronization processing unit, CPU processing units, Data Post unit, data Transmission unit, data real-time reception unit.
Real time data acquisition unit is connected with generating date unit, and the Various types of data after collection is transferred into data reality When processing unit;Generating date unit is connected with real time data acquisition unit, real time data synchronization processing unit, and data are real When processing unit the data of reception are completed into filtering, complete cycle intercepting process after be transferred to real time data synchronization processing unit;Number Synchronous processing unit is connected with real time data synchronization processing unit, CPU processing units when factually, real time data synchronization processing unit CPU processing units are transferred to after the data of reception are synchronized into correction process;CPU processing units respectively with real time data synchronization Processing unit, Data Post unit, data real-time reception unit, data transmission unit are connected, and Data Post unit is used for Data feature values extraction is completed, data real-time reception unit can receive the data of other equipment collection, and data transmission unit is used for Send the data to Internet of Things management platform.
Each unit concrete function is as described below:
Real time data acquisition unit:The unlike signal of various sensor output, including temperature, pressure, stream are gathered in real time The sensors such as amount, acceleration, speed, current vortex, rotating speed;
Generating date unit:For handling the various data collected in real time, real time process includes real-time The dynamic linear LPF of 20 times of real-time continuous power frequencies is carried out to data waveform;Data waveform is carried out using key signal Real-time continuous waveform interception, vibration, impact, pressure, flow, temperature and the displacement letter in accurate reproduction several cycles of unit Breath;
Real time data synchronization processing unit:The data that processing unit processes are crossed during for logarithm factually synchronize school Just;
CPU processing units:For controlling application program processing data, and root by Embedded open operating system Certain judgement is made according to system convention;If there is exception in data, by the continuous incoming data transmission unit of problem data waveform Give Internet of Things management platform;If data are without characteristic value abnormal, that only transmission has been handled, so as to reduce network load;
Data Post unit:For carrying out fine processing analysis to gathered data, characteristic value is calculated as follows:Virtual value, Real peak value, real peak peak value, effective peak, effective peak-to-peak value, each frequency multiplication value, GIE values, still it is transferred to after the completion of characteristic value processing CPU processing units;
Data transmission unit:Internet of Things management platform is sent the data to by WIFI, fiber optic Ethernet or Ethernet;
Data real-time reception unit:For receiving the data of other equipment collection, can receive including CAN, The data of Zigbee buses and Modbus buses
Continuous 20 times of power frequencies filtering that generating date unit is completed needs to predict the corresponding rotating speed of waveform in advance, Choose the wave filter of corresponding flex point in advance according to the rotating speed, and to accomplish the seamless switching of wave filter, reality is done using FPGA When flexible switching and filtering, method is as follows:
1) prediction rotating speed next time is obtained by recursive operation according to history rotating speed by FPGA, predicts rotating speed calculation formula It is as follows:
Wherein it is X'nIt is the prediction rotating speed of n-th, Kn-1It is the correction coefficient of (n-1)th time, Xn-1It is the reality of (n-1)th time Rotating speed,It is (n-1)th Ratio for error modification, n span is not less than 8;β is unit driving characteristic parameter, its calculating side Method is as follows:
Wherein Y is unit startup procedure rotary speed data, and num (Y) is generating unit speed data points;Y " represents unit and driven The rate of change of the second differential of journey rotary speed data, i.e. acceleration, Yi" represent i-th in the rate of change data of acceleration of numerical value;
The correction coefficient K of n-thnCalculation formula is as follows, and n span is not less than 8;:
The Ratio for error modification of n-thCalculation formula is as follows:
One unit of selection, the part-time point data of its actual speed are as shown in table 1 in embodiment.
The unit actual speed data of table 1
According to above-mentioned algorithm, emulation obtains unit simulation rotary speed data, and the data of part-time point are as shown in table 2.
The unit of table 2 simulates rotary speed data
Unit actual speed and simulation rotary speed data are compared, draw unit speed diagram as shown in Fig. 2 solid line represents Actual speed, what dotted lines represented is simulation rotating speed.
2) wave filter according to prediction rotating speed using corresponding flex point, in order to realize the seamless connection of different wave filters, is used Multiple filter is filtered simultaneously, and the output result of respective filter is directly gated according to prediction rotating speed;Filter construction such as Fig. 3 institutes Show, left side is 5 groups of wave filters in Fig. 3, and flex point is to predict 5 groups of parameters near flex point, and wherein L is stepping coefficient, can basis Different machine unit characteristics are matched.
Because the sample rate that unlike signal species uses is different, and generating date unit is to each circuit-switched data waveform Various filters operation has been carried out, every road waveform can be caused to produce phase shift, waveform is lost after phase to the number in later stage According to processing and judge to affect greatly;Real time data synchronization processing unit is entangled using digital filter to these skews Just, to reach the effect that phase after the processing of all passages keeps strict conformance.
Real time data synchronization processing unit is made up of following two parts:
Analog circuit phase correction module
Digital filter phase correction module
Real time data synchronization processing unit internal structure is as shown in Figure 4.Because simulated modulation part of the present invention uses Bart Butterworth wave filter does anti-aliasing filtering, and the wave filter has the characteristics of simple in construction, gain is big, but brings nonlinear phase simultaneously The shortcomings that.Nonlinear phase can cause that the phase shift of different frequency is inconsistent, and error occurs in phase information, and some failures are occurring During generation, these errors may result in diagnostic result inaccuracy.Real time data synchronization processing unit, is nursed one's health according to front end first The transmission function of circuit, one analog circuit phase-correction filter for being directed to the passage of generation, the analog circuit phasing Wave filter has the characteristic complementary with simulated modulation wave filter, can be corrected to group delay close to linear curve.
Data waveform after the processing of above-mentioned primary sync splits data into following processing side according to predefined configuration Formula.
After carrying out continuous 10KHz low passes linear filtering, 25.6KHz is resampled to, the channel data is as Acceleration pulse Post-processed;
After carrying out continuous 2KHz low passes linear filtering, 5.12KHz is resampled to, the channel data enters as displacement waveform Row post processing;
After carrying out continuous 1KHz low passes linear filtering, 2.56KHz is resampled to, then enters back into integrating circuit, due to product Parallel circuit is nonlinear, therefore integrating circuit back adds the phase correction module of a digital circuit again, to offset not The phase deviation of same frequency, the channel data are post-processed as velocity wave form.
After ess-strain passage carries out continuous 1KHz low passes linear filtering, 2.56KHz is resampled to;
After traffic channel carries out continuous 500Hz low passes linear filtering, 1KHz is resampled to;
After pressure channel carries out continuous 500Hz low passes linear filtering, 1KHz is resampled to.
A kind of multi-functional real-time synchronization collection things-internet gateway of the present invention can at most configure 64 road vibrating sensings Third party's data-interface of device and magnanimity, therefore the operational capability of processing unit and optimization are most crucial in real time, are adopted in the present invention Ensure gateway normal operation with a variety of thinkings.
1) using tms320dm8168 chips newest TI, its kernel is ARM A9 processors, is tied using Davinci Structure, there is ARM and 1GHz of 1GHz dominant frequency DSP.DSP is mainly responsible for completing calculation function, and ARM is as scheduling Unit is used, and when DSP is just in computing, ARM is pre-processed next group of data, is operated in whole system and is similar to Under the pattern of streamline, it can greatly increase system operations throughput.
2) ARM+DDR, FPGA+DDR and ARM+NAND three bufferings are used.Wherein ARM+DDR has 1GB buffering Area, FPGA+DDR have 4GB buffering area, and ARM+NAND has 32GB buffering areas.It can be completed in whole system operational capability When processing needs in real time, data buffering is completed by ARM+DDR.When quick detection report is abnormal, passage alarm or special When family's diagnostic system is intervened automatically, system enters thin analytical model, and at this moment system operations amount is increased sharply, and processor can not be complete Into the computing of magnanimity, at this time except ARM+DDR buffers, also intervention avoids overflowing FPGA+DDR buffers in time, in FPGA+ When the free space of DDR buffers reaches alarm critical line, ARM+NAND buffers are intervened and adapter data.Until storage Data be gradually digested, ARM+NAND and FGPA+DDR are gradually backed out intervening, recover standby mode.
3) intervened in order to avoid three buffers simultaneously after, data accumulation is excessive and leads to not see newest data, The design employs 3+1 pattern to ensure that newest data waveform uploads, i.e., often handles 3 groups of current datas, take one group it is newest Data computing and upload, so both ensure that the subdivision analysis of data, and reached the demand of real-time viewing again.

Claims (2)

  1. A kind of 1. multi-functional real-time synchronization collection things-internet gateway, it is characterised in that:
    The gateway is included with lower unit:Real time data acquisition unit, generating date unit, real time data synchronization processing are single Member, CPU processing units, Data Post unit, data transmission unit, data real-time reception unit;
    Above-mentioned each unit annexation is:Real time data acquisition unit is connected with generating date unit, will be each after collection Class data are transferred to generating date unit;Generating date unit and real time data acquisition unit, real time data synchronization Processing unit is connected, and generating date unit is transferred to data after the data of reception are completed into filtering, complete cycle intercepting process Real-time synchronization processing unit;Real time data synchronization processing unit is connected with real time data synchronization processing unit, CPU processing units, Real time data synchronization processing unit is transferred to CPU processing units after the data of reception are synchronized into correction process;CPU processing is single Member respectively with real time data synchronization processing unit, Data Post unit, data real-time reception unit, data transmission unit phase Even, Data Post unit is used to complete data feature values extraction, and data real-time reception unit can receive other equipment collection Data, data transmission unit are used to send the data to Internet of Things management platform;
    Generating date unit carries out the dynamic linear LPF of 20 times of real-time continuous power frequencies to data waveform;
    1) prediction rotating speed next time is obtained by recursive operation according to history rotating speed, prediction rotating speed calculation formula is as follows:
    Wherein it is X'nIt is the prediction rotating speed of n-th, Kn-1It is the correction coefficient of (n-1)th time, Xn-1It is the actual speed of (n-1)th time,It is (n-1)th Ratio for error modification;β is unit driving characteristic parameter, and its computational methods is as follows:
    <mrow> <mi>&amp;beta;</mi> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>n</mi> <mi>u</mi> <mi>m</mi> <mrow> <mo>(</mo> <mi>Y</mi> <mo>)</mo> </mrow> </mrow> </munderover> <msup> <msub> <mi>Y</mi> <mi>i</mi> </msub> <mrow> <mo>&amp;prime;</mo> <mo>&amp;prime;</mo> </mrow> </msup> </mrow> <mrow> <mi>n</mi> <mi>u</mi> <mi>m</mi> <mrow> <mo>(</mo> <mi>Y</mi> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow>
    Wherein Y is unit startup procedure rotary speed data, and num (Y) is generating unit speed data points;
    The correction coefficient K of n-thnCalculation formula is as follows:
    <mrow> <msub> <mi>K</mi> <mi>n</mi> </msub> <mo>=</mo> <mfrac> <msqrt> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>5</mn> </munderover> <msup> <mrow> <mo>(</mo> <mfrac> <msub> <mi>X</mi> <mrow> <mi>n</mi> <mo>-</mo> <mi>i</mi> </mrow> </msub> <msub> <mi>X</mi> <mrow> <mi>n</mi> <mo>-</mo> <mi>i</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> </mfrac> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> <mn>5</mn> </mfrac> </mrow>
    The Ratio for error modification of n-thCalculation formula is as follows:
    2) wave filter according to prediction rotating speed using corresponding flex point, in order to realize the seamless connection of different wave filters, using multistage Wave filter is filtered simultaneously, and the output result of respective filter is directly gated according to prediction rotating speed.
  2. 2. things-internet gateway is gathered according to a kind of multi-functional real-time synchronization described in claim 1, it is characterised in that data are real When synchronous processing unit data synchronization processing mode;
    (1) preliminary synchronisation, analog circuit phase-correction filtering are carried out to data waveform using analog circuit phase-correction filter Utensil has the characteristic complementary with simulated modulation wave filter, and group delay is corrected to close to linear curve;
    (2) data after preliminary synchronisation processing will be handled in the following way:
    After acceleration passage carries out continuous 10KHz low passes linear filtering, 25.6KHz is resampled to;
    After displacement passage carries out continuous 2KHz low passes linear filtering, 5.12KHz is resampled to;
    After speed channels carry out continuous 1KHz low passes linear filtering, 2.56KHz is resampled to, integrating circuit is entered back into and completes product Point, phasing is then carried out by the phase correction module of a digital circuit again, offsets the phase deviation of different frequency;
    After stress, strained channel carry out continuous 1KHz low passes linear filtering, 2.56KHz is resampled to;
    After traffic channel carries out continuous 500Hz low passes linear filtering, 1KHz is resampled to;
    After pressure channel carries out continuous 500Hz low passes linear filtering, 1KHz is resampled to.
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CN109557435A (en) * 2018-12-06 2019-04-02 国网江苏省电力有限公司扬州供电分公司 A kind of cable synchronizing partial discharge acquisition judgment method
CN109741445A (en) * 2019-01-20 2019-05-10 吴鹏翔 Body surface status real time monitor and digitlization modeling
CN110493128A (en) * 2019-07-29 2019-11-22 镇江宏祥自动化科技有限公司 A kind of data acquisition gateway device with geographic positioning system
CN112525334B (en) * 2020-11-18 2023-06-02 西安因联信息科技有限公司 Dynamic equipment vibration multistable detection method

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