CN106341466A - Distributed data collection system and data collection method based on same - Google Patents
Distributed data collection system and data collection method based on same Download PDFInfo
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- CN106341466A CN106341466A CN201610761080.1A CN201610761080A CN106341466A CN 106341466 A CN106341466 A CN 106341466A CN 201610761080 A CN201610761080 A CN 201610761080A CN 106341466 A CN106341466 A CN 106341466A
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
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- H04J—MULTIPLEX COMMUNICATION
- H04J3/00—Time-division multiplex systems
- H04J3/02—Details
- H04J3/06—Synchronising arrangements
- H04J3/0635—Clock or time synchronisation in a network
- H04J3/0638—Clock or time synchronisation among nodes; Internode synchronisation
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Abstract
The invention provides a distributed data collection system and a data collection method based on the same. High-speed synchronous signal collection among sensors and flexible networking are realized via built-in Ethernet exchange and Ethernet transmission in the intelligent sensor node side and Ethernet based time synchronization. The data collection method overcomes disadvantages of present network and methods, advantages of easy wiring, convenient installation and maintenance and low cost of a distributed collection manner are maintained, signals among the different sensors can be collected synchronously, and further distributed collection can be applied to occasions which need multi-channel cooperative work.
Description
Technical field
The present invention relates to data collecting system, more particularly to a kind of data acquisition based on distributed data acquisition system
Method and system.
Background technology
Data acquisition (daq), refers to automatically adopt from the analog- and digital- unit under test such as sensor and other Devices to test
Collection non electrical quantity or electric quantity signal, deliver in host computer and are analyzed, the process of process.Data collecting system (das) is to combine
Flexible, user-defined measurement is realized based on the measurement soft and hardware product of computer or other dedicated testing platforms
System.The task of data collecting system is that the analogue signal the output of all kinds sensor is converted into input meter after digital signal
Calculation machine is processed, and obtains specific data result.Waveform will be calculated simultaneously and numerical value will be shown, to various physical quantity states
Monitoring.
At present, data acquisition technology is in military affairs, various industrial circles, and the field such as residential households is widely used.
According to the difference of analog digital conversion (a/d) position, data collecting system is divided into centralized and distributed.Centralized data acquisition
System refers to that multiple, multiple sensor signals transmit analog signals to data acquisition unit, Ran Hou by analogue transmission passage
Data acquisition unit is amplified to signal, filters, holding of sampling, quantization encoding become digital signal, then issues host computer again
Carry out processing, identify.Distributed parallel computing environment refers to that nearby analogue signal being carried out modulus in close sensor mounting location turns
Change (a/d), then digital signal is sent to aggregation node by digital communications path host computer is sent to by aggregation node and
Row is processed, identification.The advantage of centralized data collecting system is: multiple sensor signals carry out concentrated collection, and signals collecting is led to
Trace consistency is good, easy to realize different interchannel synchronizations, is suitable for the occasion of the multichannel coordinated work of needs.Shortcoming is: sensing
Between device and data acquisition unit, transmission is analogue signal, and signal is decayed with transmission range change in transmitting procedure, for reducing
Decay and disturbing, signal-transmitting cable and wire and cable connector require strict, due to each signal between can not be multiplexed, so each sensing
Device is required for the transmission channel of a special holding wire composition, and networking underaction, cable are many, difficult wiring, high cost.Point
Cloth acquisition system is but just contrary, and its advantage is: local digital-to-analogue conversion, using numeral letter between sensor and aggregation node
Number, signal amplitude and phase place are not affected by transmission channel, and the data of different sensors can be multiplexed same transmission channel
It is transmitted, so wiring is easy, it is low that cable performance is required.But shortcoming is: data transmission channel all adopts scene total substantially
Line transfer rate is low, is difficult to synchronization it is more difficult to realize multiple sensor signal synchronous acquisition, thus is not suitable between harvester
Need the occasion of multichannel coordinated work.
Content of the invention
For the deficiency of existing distributed parallel computing environment and method of work, the invention provides a kind of be based on distributed data
The collecting method of acquisition system and system.By using in the exchange of intelligent sensor node side built-in ethernet, Ethernet
Transmission and based on the time synchronization implementation different sensors of Ethernet between the high speed synchronous sample of signal and flexible networking.
The method overcome the deficiency of existing network and method, be not only able to continue to keep distributed capture mode, wiring
Easily, be easily installed and safeguard, the advantage of low cost, and the synchronous data collection work(of different sensors signal can be realized
Can be so that distributed capture can be applied to the occasion of multichannel coordinated work.
It is an object of the invention to provide a kind of distributed data acquisition system and its method of work, above-mentioned existing in order to solve
The defect of technology.
According to an aspect of the invention, it is provided a kind of collecting method based on distributed data acquisition system,
It is characterized in that, described system includes intelligent sensor node, aggregation node, wherein, the method comprising the steps of:
A. registration step, described aggregation node is connected with described intelligent sensor node by Ethernet interface, wherein, described
Described aggregation node is registered backward for intelligent sensor node initialization；
B. described aggregation node and described intelligent sensor node periodically carry out time synchronized；
C. described aggregation node is acquired parameter configuration to intelligent sensor node each described；
D. described intelligent sensor node carries out data according to the acquisition parameter of described configuration and the instruction of described aggregation node and adopts
Collection and storage, and the data of described collection is analyzed, then carry out according to analysis result adjustment range with to described data
Correction；
E. the data is activation after correction is given described aggregation node by described intelligent sensor node；
F. described aggregation node stores and processes the data after described correction.
Registration step in described step a further includes steps of
A1. described intelligent sensor node is sent to described aggregation node with broadcast mode and finds message；
A2., after described aggregation node receives described discovery message, judge whether to divide to intelligent sensor node according to preset rules
Join ip address, if it is, send to described intelligent sensor node comprising untapped ip address and described convergence section
The aggregation node of the ip address information of point provides information, otherwise, ignores this discovery message；
A3. described intelligent sensor node selects the described aggregation node first receiving to provide information, and is returned in the form of broadcasting
Return response message, described response message includes its required ip address information；
A4. described aggregation node is according to the described response message receiving, return address confirmation；
A5. described intelligent sensor node completes ip address registration according to described confirmation.
Connected mode in described step a includes, and is passed using intelligent speed probe, a multiple intelligent vibration acceleration
Sensor mutually conspires to create a daisy chain by Ethernet interface, then is connected with described aggregation node.
Described synchronization is Lai real by ieee1588 agreement, the direct-connected holding wire of triggering synchronization or satellite navigation time service system
Existing.
Described acquisition parameter in described step c includes: when sampling configuration, the triggering mode starting collection, collection start
Between, collection end time or sampling point quantity, sample rate, burst packet length.
Described sampling configuration adopts batch (-type) constant duration synchronous.
Adjustment range in described step d specifically includes: if the maximum of the absolute value of described data than or equal to
Current range, then reduce signal amplifier gain and range increasing be twice, if from after the adjustment of previous range, described data
The maximum of absolute value is not above setting value and duration exceedes the value of setting, then increase signal amplifier gain amount
Journey subtracts half as large.
Described step e carries out the transmission of described data using tcp host-host protocol.
Described storage in described step f process step are included being extracted using temporal signatures, calculate order tracking technique
(cot), denoising, fast Fourier transform, frequency domain character extraction, cepstral analysis, refinement analysis, envelope spectrum and Time-Frequency Analysis,
Based on the fault diagnosis algorithm of deep learning, data is processed accordingly.
According to the second aspect of the invention, there is provided a kind of distributed data acquisition system, described system includes intelligence
Sensor node, aggregation node and multiple network equipment it is characterised in that
Described intelligent sensor node includes sensor unit, signal condition unit, control data collecting unit, the first Ethernet
Crosspoint, very first time synchronization and positioning unit, the first memory element；Described control data collecting unit is same with the very first time
Step and positioning unit, signal condition unit, the first Ethernet exchanging unit, the first memory element connect, described signal condition list
Unit is connected with sensor unit, and described first Ethernet exchanging unit and the very first time are synchronously connected with positioning unit, by with
Too network interface is connected with described aggregation node and other described intelligence sensors multiple；
Described aggregation node includes the second time synchronized and positioning unit, control data processing unit, the second Ethernet exchanging list
Unit, the second memory element, described control data processing unit and the second time synchronized and positioning unit, the second Ethernet exchanging list
Unit, the second memory element are connected, and described second Ethernet exchanging unit is connected with the second time synchronized and positioning unit, and leads to
Cross Ethernet interface to be connected with the plurality of network equipment；
Wherein, described aggregation node is connected with described intelligent sensor node by Ethernet interface, wherein, described aggregation node
Periodically carry out time synchronized with described intelligent sensor node；
Described aggregation node is acquired parameter configuration to intelligent sensor node each described, and receives described intelligence sensor
The data of node collection, is stored to described data and is processed.
Further, described system also includes an intelligent speed probe and two intelligent vibration acceleration transducers,
Wherein, described intelligent speed probe, described intelligent vibration acceleration transducer are mutually contacted by Ethernet interface and are formed chrysanthemum
Pattern chain formula networking mode.
Brief description
Fig. 1 is the distributed parallel computing environment logical construction schematic diagram of the present invention；
Fig. 2 is the intelligent sensor node logical construction schematic diagram of the present invention；
Fig. 3 is the aggregation node logical construction schematic diagram of the present invention；
Fig. 4 is the distributed parallel computing environment flow chart of work methods of the present invention.
Specific embodiment
The distributed data acquisition of the present invention is discussed in detail below in conjunction with the accompanying drawings taking rotary-machine state monitoring system as a example
System: the data collecting system of rotary-machine state monitoring system includes: one possesses communication function, data exchange, storage remittance
Poly-, processing function, the aggregation node of time synchronized function, positioning function and management function, one possesses rotating speed sensing function, leads to
Telecommunication function, data exchange, store function, processing function, the intelligent speed probe node of time synchronized function, two possess sense
Brake, communication function, data exchange, store function, processing function, the intelligent vibration acceleration transducer of time synchronized function
Node, described two intelligent vibration acceleration transducer vibrating shafts be mutually perpendicular to and all with rotary shaft right angle setting.For fault
The needs of diagnosis, intelligent speed probe, two intelligent vibration acceleration transducer data acquisitions need synchronization, and described one
Individual intelligent speed probe, two intelligent vibration acceleration transducer nodes mutually conspire to create a Flos Chrysanthemi by Ethernet interface
Chain, is then attached with aggregation node again, and described aggregation node is carried out even by Ethernet interface and intelligent sensor node
Connect, be attached with other network equipments and Intranet by Ethernet interface.
In the present embodiment, intelligent speed probe node includes, Hall revolution speed transducer unit, signal condition unit,
Control and data acquisition unit, Ethernet exchanging unit, time synchronized and positioning unit, memory element, described Hall rotating speed passes
Sensor cell is connected with signal condition unit, described signal condition unit and Hall revolution speed transducer unit, control and data
Collecting unit is connected, and described controls and data acquisition unit and time synchronized and positioning unit, signal condition unit, Ethernet
Crosspoint, memory element are connected, described Ethernet exchanging unit with control and data acquisition unit, time synchronized and positioning
Unit, aggregation node are connected with intelligent vibration acceleration transducer node, described memory element with control with data acquisition list
Unit is connected.
In the present embodiment, Hall revolution speed transducer unit is commercially available common Hall revolution speed transducer, signal condition unit
Then amplified by signal, filtering and the power supply circuits powered for Hall revolution speed transducer form, control and adopting with data acquisition unit
16 high speed a/d transducers, data acquisition software, satellite time synchronization or the ieee1588 time synchronized being controlled with mcu and mcu
The functional software such as the protocol software, software for calculation form, and time synchronized and positioning unit are then by satellite positioning module such as gps or the Big Dippeves
Or markers generates logic circuit and clock generates and adjustment logic circuit composition, Ethernet exchanging unit is then by 100,000,000/gigabit
The devices such as Ethernet switching chip, peripheral interface circuit, m12 type ethernet connector form, and storage element is then by storage core
Piece and control circuit composition.
In the present embodiment, intelligent vibration acceleration transducer node includes, vibration acceleration sensor, signal condition list
Unit, control and data acquisition unit, Ethernet exchanging unit, time synchronized and positioning unit, memory element, described vibration accelerates
Degree sensor unit is connected with signal condition unit, described signal condition unit and vibration acceleration sensor unit, control
Be connected with data acquisition unit, described control with data acquisition unit and time synchronized and positioning unit, signal condition unit,
Ethernet exchanging unit, memory element are connected, described Ethernet exchanging unit with control with data acquisition unit, time synchronized
It is connected with intelligent Hall revolution speed transducer node with positioning unit, aggregation node, described memory element is adopted with data with controlling
Collection unit is connected.
In the present embodiment, vibration acceleration sensor unit exports piezoelectric acceleration sensor, letter for shearing-type electric charge
Number conditioning unit is then amplified by signal, filter circuit forms, and controls then adopt that mcu and mcu control with data acquisition unit 16
Position high speed a/d transducer, data acquisition software, satellite time synchronization or ieee1588 time synchronization protocol software, software for calculation
Deng functional software composition, time synchronized and positioning unit then generate logic electricity by the satellite positioning module such as gps or the Big Dipper or markers
Road and clock generate and adjustment logic circuit composition, and Ethernet exchanging unit is then by 100,000,000/gigabit Ethernet exchange chip, outer
Enclose the devices such as interface circuit, m12 type ethernet connector composition, storage element is then made up of storage chip and control circuit.
In the present embodiment, aggregation node includes: the second time synchronized and positioning unit, control data processing unit, the
Two Ethernet exchanging units, the second memory element, described second time synchronized and positioning unit and control data processing unit, the
Two Ethernet exchanging units are connected, described control data processing unit and the second time synchronized and positioning unit, the second ether
Net crosspoint, the second memory element are connected, when described second Ethernet exchanging unit and control data processing unit, second
Between synchronous be connected with positioning unit and be connected with other network equipments and intelligent sensor node by Ethernet interface, institute
State the second memory element to be connected with control data processing unit；
Second time synchronized and positioning unit generate logic circuit and clock by the satellite positioning module such as gps or the Big Dipper or markers
Generate and adjustment logic circuit composition, control data processing unit then by cpu, internal memory, Ethernet card, serial ports, pcie interface,
Gpio circuit, linux operating system and its to complete control software, software for calculation, data transmission software, data storage management soft
The functional software such as part, satellite time synchronization or ieee1588 time synchronization protocol software form, and the second Ethernet exchanging unit is then
By support the intelligent ethernet exchange chip of ieee1588 consensus standard and L3 Switching function, peripheral interface circuit, m12 type with
The too device such as net adapter composition, the second memory element is then made up of electronic hard disc and its control circuit.
One kind that the present invention is discussed in detail below in conjunction with the accompanying drawings based on distributed taking rotary-machine state monitoring system as a example
The collecting method of data collecting system: include
A, intelligent sensor node are started shooting to aggregation node registration；
Periodically carry out time synchronized between b, aggregation node and intelligent sensor node；
C, aggregation node are acquired parameter configuration to each intelligent sensor node；
D, intelligent sensor node carry out data acquisition and storage according to the acquisition parameter of configuration and the instruction of aggregation node, and right
The data of collection is analyzed and then is corrected according to analysis result adjustment range with to data；
E. the data is activation after correction is given described aggregation node by described intelligent sensor node；
F. described aggregation node stores and processes the data after described correction.
Described step a comprises the following steps:
A1), intelligent sensor node sends and sends aggregation node discovery message with broadcast mode；
A2), aggregation node receives and finds after message according to the mac address of intelligent sensor node and the intelligent sensing being pre-configured with
Device node mac address administration table decides whether to distribute ip address to intelligent sensor node, if distribution, selectes one point
Then the ip address joined sends one to intelligent sensor node and comprises aggregation node ip address, distributes to intelligent sensor node
The aggregation node of the information such as ip address information is provided, otherwise ignore；
A3 after) intelligent sensor node receives this offer information, select the first offer information receiving, then with broadcast
Mode responds a solicited message to aggregation node, and this packet contains in the aggregation node request ip address selected to it
Hold.
A4), after aggregation node receives the aggregation node solicited message of intelligent sensor node answer, this ip address
Identify and bound with the mac address of intelligent sensor node, intelligent sensor node application layer, and to intelligent sensor node
Send one and comprise ip address and the aggregation node confirmation of other settings that it is provided, tell that intelligent sensor node can
With the ip address being provided using this aggregation node.
A5 after), intelligent sensor node receives the confirmation of aggregation node, oneself ip is set to aggregation node distribution
Ip；
Described step b: periodically carry out between aggregation node and intelligent sensor node time synchronized be by ieee1588 agreement or
Satellite navigation time service system is realized；
In the present embodiment time synchronized is carried out using ieee1588 agreement, synchronizing cycle adopts 1 second sync interval.
Described acquisition parameter in described step c includes: when sampling configuration, the triggering mode starting collection, collection start
Between, collection end time or sampling point quantity, sample rate, burst packet length；
In the present embodiment, described aggregation node is connected with described intelligent sensor node by Ethernet interface, sampling configuration
Using batch (-type) constant duration synchronously using it is simply that the one piece of data of acquisition time equal length at set intervals, and
The a/d data acquisition of one intelligent speed probe and two intelligent vibration acceleration transducers is synchronous, adopts, simultaneously simultaneously
Stop；The triggering mode starting to gather is that the trigger collection time is then every by way of time synchronized and then then triggering collection
What during secondary collection, aggregation node was specified starts to gather the moment, and sample rate adopts 200k sampling point per second, and quantified precision adopts 16
Pcm coded slices bag length adopts 512 bytes.
Described step d comprises the following steps again:
D1), intelligent sensor node configuration acquisition parameter
D2), intelligent sensor node carries out data acquisition and storage according to the instruction of aggregation node
D3), intelligent sensor node is analyzed to the data of collection；
D4), intelligent sensor node is corrected to the data of collection；
D5), intelligent sensor node adjusts range according to analysis result；
Described step d1) intelligent sensor node configuration acquisition parameter, intelligent sensor node be connected to aggregation node collection ginseng
After number configuration message, acquisition parameter is configured according to message content, these parameters include, sample rate, preposition amplification, anti-aliased
Filter bandwidht, collection start triggering mode etc..
Described step d2): intelligent sensor node carries out data acquisition according to the beginning acquisition instructions of aggregation node and deposits
Storage；This step implementation has two kinds: one kind is to issue collection start time instruction from aggregation node to intelligent sensor node,
Arrive the collection commencing signal gathering the software by intelligent sensor node for the start time or hardware trigger of aggregation node setting；
Another is to issue collection preparation instruction from aggregation node to intelligent sensor node, after intelligent sensor node is connected to instruction
Monitoring special synchronous holding wire, the pulse signal triggering collection that aggregation node is sent by dedicated signal lines starts；
Described step d3): intelligent sensor node is analyzed to the data of collection, including but not limited to maximizing, minimum
Value, meansigma methodss, interval maximum, interval minima, history maximum, history minima, root-mean-square value；
Described step d4): intelligent sensor node is corrected referring to gathered data is carried out adding, subtracts to the data of collection
Go, be multiplied by or divided by a constant.
Described step d5): it is to be realized by following methods that intelligent sensor node adjusts range according to analysis result:. such as
The maximum of the absolute value of data of fruit collection than or equal to current range, then reduces signal amplifier gain and range is increased
One times, if from previous range adjustment after collection data absolute value maximum be not above maximum range four/
One and duration exceedes the value of setting, then increase signal amplifier gain and range is reduced half；
Described step e includes intelligent sensor node the data is activation after correction to aggregation node.Intelligent sensor node handle
The corrected data collecting is sent to aggregation node with tcp/ip communication protocol, in the present embodiment, for ensureing data
Transmitting, carries out the transmission of data using tcp agreement.
Described step f includes the data that aggregation node gathers to intelligent sensor node and is stored and process.Converge section
After point is connected to the data of intelligent sensor node collection, data is stored and is processed, main processing method is included: time domain
Feature extraction, calculating order tracking technique (cot), denoising, fast Fourier transform, frequency domain character extraction, cepstral analysis, refinement point
Analysis, envelope spectrum and Time-Frequency Analysis, the fault diagnosis scheduling algorithm based on deep learning.
Finally it should be noted that above example is only in order to illustrate technical scheme and unrestricted, although reference
Preferred embodiment has been described in detail to the present invention, it will be understood by those within the art that, can be to the present invention's
Technical scheme is modified or equivalent, and without deviating from the spirit and scope of technical solution of the present invention, it all should be covered
In the middle of scope of the presently claimed invention.
Claims (10)
1. a kind of collecting method based on distributed data acquisition system is it is characterised in that described system includes intelligent biography
Sensor node, aggregation node, wherein, the method comprising the steps of:
A. registration step, described aggregation node is connected with described intelligent sensor node by Ethernet interface, wherein, described
Described aggregation node is registered backward for intelligent sensor node initialization；
B. described aggregation node and described intelligent sensor node periodically carry out time synchronized；
C. described aggregation node is acquired parameter configuration to intelligent sensor node each described；
D. described intelligent sensor node carries out data according to the acquisition parameter of described configuration and the instruction of described aggregation node and adopts
Collection and storage, and the data of described collection is analyzed, then carry out according to analysis result adjustment range with to described data
Correction；
E. the data is activation after correction is given described aggregation node by described intelligent sensor node；
F. described aggregation node stores and processes the data after described correction.
2. method according to claim 1 it is characterised in that the registration step in described step a further include following
Step:
A1. described intelligent sensor node is sent to described aggregation node with broadcast mode and finds message；
A2., after described aggregation node receives described discovery message, judge whether to divide to intelligent sensor node according to preset rules
Join ip address, if it is, send to described intelligent sensor node comprising untapped ip address and described convergence section
The aggregation node of the ip address information of point provides information, otherwise, ignores this discovery message；
A3. described intelligent sensor node selects the described aggregation node first receiving to provide information, and is returned in the form of broadcasting
Return response message, described response message includes its required ip address information；
A4. described aggregation node is according to the described response message receiving, return address confirmation；
A5. described intelligent sensor node completes ip address registration according to described confirmation.
3. method according to claim 1 is it is characterised in that the connected mode in described step a includes, using an intelligence
Speed probe, multiple intelligent vibration acceleration transducer one daisy chain can mutually be conspired to create by Ethernet interface, then with institute
State aggregation node to connect.
4. method according to claim 1 is it is characterised in that described time synchronized is by ieee1588 agreement, triggering
Synchronous direct-connected holding wire or satellite navigation time service system are realizing.
5. method according to claim 1 is it is characterised in that the described acquisition parameter in described step c includes: sampling mould
Formula, the triggering mode starting collection, collection time started, collection end time or sampling point quantity, sample rate, burst packet length,
Wherein, described sampling configuration adopts batch (-type) constant duration synchronous.
6. method according to claim 1 is it is characterised in that the adjustment range in described step d specifically includes: if institute
The maximum of absolute value stating data than or equal to current range, then reduces signal amplifier gain and range increasing is twice,
If from after the adjustment of previous range, the maximum of the absolute value of described data is not above setting value and duration exceedes
The value setting, then increase signal amplifier gain and range reduced half.
7. method according to claim 1 is it is characterised in that described step e carries out described data using tcp host-host protocol
Transmission.
8. method according to claim 1 is it is characterised in that described in described step f stores and process including adopting
Temporal signatures extract, calculate order tracking technique (cot), denoising, fast Fourier transform, frequency domain character extraction, cepstral analysis, refinement
Analysis, envelope spectrum and Time-Frequency Analysis, the fault diagnosis algorithm based on deep learning are located accordingly to the data receiving
Reason.
9. a kind of distributed data acquisition system, described system includes intelligent sensor node, aggregation node and multiple network
Equipment it is characterised in that
Described intelligent sensor node includes sensor unit, signal condition unit, control data collecting unit, the first Ethernet
Crosspoint, very first time synchronization and positioning unit, the first memory element；Described control data collecting unit is same with the very first time
Step and positioning unit, signal condition unit, the first Ethernet exchanging unit, the first memory element connect, described signal condition list
Unit is connected with sensor unit, and described first Ethernet exchanging unit and the very first time are synchronously connected with positioning unit, by with
Too network interface is connected with described aggregation node and other described intelligence sensors multiple；
Described aggregation node includes the second time synchronized and positioning unit, control data processing unit, the second Ethernet exchanging list
Unit, the second memory element, described control data processing unit and the second time synchronized and positioning unit, the second Ethernet exchanging list
Unit, the second memory element are connected, and described second Ethernet exchanging unit is connected with the second time synchronized and positioning unit, and leads to
Cross Ethernet interface to be connected with the plurality of network equipment；
Wherein, described aggregation node is connected with described intelligent sensor node by Ethernet interface, wherein, described aggregation node
Periodically carry out time synchronized with described intelligent sensor node；
Described aggregation node is acquired parameter configuration to intelligent sensor node each described, and receives described intelligence sensor
The data of node collection, is stored to described data and is processed.
10. system according to claim 9 it is characterised in that described system also include an intelligent speed probe and
Two intelligent vibration acceleration transducers, wherein, described intelligent speed probe, described intelligent vibration acceleration transducer pass through
Ethernet interface is mutually contacted and is formed daisy chain type networking.
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| CN107015765A (en) * | 2017-03-22 | 2017-08-04 | 北京石油化工学院 | A kind of method of data acquisition and procession in distributed fiberoptic sensor |
| CN107167174A (en) * | 2017-04-05 | 2017-09-15 | 中北大学 | Distributed type minisize data collecting system |
| CN107422028A (en) * | 2017-04-20 | 2017-12-01 | 北京环宇智联科技有限责任公司 | Distributing structural healthy monitoring system and method |
| CN109217474A (en) * | 2018-10-17 | 2019-01-15 | 安徽立卓智能电网科技有限公司 | A kind of new-energy grid-connected data acquisition time method based on radio channel transmission |
| CN111211853A (en) * | 2019-12-20 | 2020-05-29 | 苏州浪潮智能科技有限公司 | BMC time synchronization checking method and equipment |
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| CN112820092A (en) * | 2020-12-25 | 2021-05-18 | 北京市腾河电子技术有限公司 | Method for collecting electricity consumption data, terminal equipment and storage medium |
| CN115277778A (en) * | 2022-07-29 | 2022-11-01 | 平安科技（深圳）有限公司 | Configuration method and device of Internet of things system, electronic equipment and storage medium |
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| 沈卓君: "基于无线传感器的旋转机械实时检测系统研究", 《中国优秀硕士论文全文数据库》 * |
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