CN109856675A - Fine motion acquires equipment, wireless remote-measuring system and data quality monitoring method - Google Patents
Fine motion acquires equipment, wireless remote-measuring system and data quality monitoring method Download PDFInfo
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/22—Transmitting seismic signals to recording or processing apparatus
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- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/24—Acquisition or tracking or demodulation of signals transmitted by the system
- G01S19/25—Acquisition or tracking or demodulation of signals transmitted by the system involving aiding data received from a cooperating element, e.g. assisted GPS
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Abstract
The invention discloses a kind of fine motion acquisition equipment, system and data quality monitoring methods, belong to seismic detector electronic technology field, the output end of geophone is connected to including it, including data acquisition module, data processing module, network interface forwarding module, GPS module and data memory module, geophone output end connects data acquisition module, data acquisition module and GPS module are connect with data processing module, and data processing module, network interface forwarding module and data memory module are connected to embedded Linux system platform.Automatically, in real time internal clock signal is corrected by the time signal of GPS satellite standard, can ensure that each fine motion acquisition equipment carries out the synchronism of data acquisition in the acquisition of long-time data.
Description
Technical field
The present invention relates to seismic detector electronic technology field, in particular to a kind of fine motion acquisition equipment, system and the quality of data
Monitoring method.
Background technique
Under field conditions (factors), there is a kind of small amplitude and specific periodic vibration from anywhere in earth surface,
These signals are normally referred to as fine motion in physical prospecting, and fine motion does not have specific focus, formed by the incidence wave set of different directions.
Ground weak vibration is recorded using array observation system, data processing method is recycled to extract Rayleigh waves phase velocity from fine motion data
Dispersion curve is spent, and then inverting obtains formation shear velocity structure information, this geophysical prospecting method is commonly referred to as fine motion
Detection.Fine motion detection can be realized using natural source, is not necessarily to man-made explosion, avoids active earthquake damage caused by environment,
It is the important technical of resource exploration.
Currently, centralized prospecting instrument and untethered memory-type instrument based on cable are used equally for fine motion to detect.Centralization
Each geophone is often connected on data collector using cable by exploration, then geophone is dispersed to lay array observation system, this
Kind instrument deficiency is to receive the constraint of cable, so that field fine motion array difficult wiring, especially complicated landform are regional, manpower
It is at high cost, it is unable to satisfy the demand of a wide range of array installation and complicated landform fine motion detection.
Untethered memory-type instrument is a kind of autonomous type node data acquisition station, and in the construction process, the data of acquisition store
In acquisition station, after construction, the data stored in instrument are downloaded, further according to requiring to synthesize the data finally needed
File.
Firstly, untethered memory-type instrument and equipment is light, it is convenient, efficient that field is laid, not by the shadow of the natural environments such as earth's surface
It rings, various complex near surface conditionss demands can be applicable in, can be used for fine motion detection demand.But common untethered memory-type instrument is difficult
With what is detected for fine motion, this is because micro-tremor signal vibration amplitude is very small, any scene and human factor naturally are to signal
The influence of amplitude is very big, and the interference of ambient enviroment can be inevitably carried in the data of acquisition, such as vehicle communication, mankind's activity, construction
Vibration, Changes in weather etc., the possible null offset of signal acquiring system, cable interference in common untethered memory-type instrument etc.
Cause noise or even some equipment self-noise signals closely to fall into oblivion the micro-tremor signal ingredient that can characterize formation information, causes
Effective fine motion exploration can not be carried out, therefore the hardware design of data collection system seems particularly important.
Secondly, existing untethered memory-type instrument is usually after construction at present, export data carry out data solution again
Analysis is released, but this operating mode lacks long-range, real-time, reliable monitoring record and field condition quality monitoring means.Therefore
Also it is unfavorable for fine motion detection, while in view of the influence factor of fine motion detection is numerous, Field Force can not evaluate data matter in time
Amount, in order to guarantee the quality of data, need to carry out interminable data acquisition time and result even in and return to reduce construction efficiency
Work.
In order to solve live fine motion data quality monitoring, long-haul telemetry terminal control unit is as normal in distributed monitoring system
One kind, using more more and more universal.Telemetering is that closely acquisition is transmitted at a distance by natural source ambient noise signal
Computer workstation realizes the technology of Distance Test.In seismic survey system, telemetry system include geophone, communication set
Standby and data processing equipment.Data acquisition equipment and signal transmission technology are two key technologies of telemetering, data acquisition equipment
Sampling precision, reliability and communication system transmission speed and anti-interference ability etc. determine the performance of telemetry system.
Currently, the common three kinds of Proximity Wireless Transfer Technologies of communication equipment in telemetry system have ZigBee, bluetooth
(Buletooth) come with some shortcomings with WiFi, these three Radio Transmission Technologys, as transmission range is small, data transmission rate is low,
The states such as limited coverage area and mobility are bad.Although WiFi has transmission rate fast, erection base station can be used in field
Mode carrys out the area coverage of topological Wireless LAN, establishes connection with base station by integrating WiFi module in acquisition station, still
Practical exploration applications summarize base station set up it is cumbersome, especially to large-scale fine motion array observation system, need more bases
It stands, will seriously affect construction speed, while under field environment with a varied topography, transmission speed and reliability have been difficult to
Effect guarantees.
Summary of the invention
It is an object of the invention to solve the problems, such as above-mentioned background technique, the accuracy of fine motion exploration is improved.
In order to achieve the above object, the present invention acquires equipment using a kind of fine motion, it is connected to the output end of geophone, including
Data acquisition module, data processing module, network interface forwarding module, GPS module and data memory module, the connection of geophone output end
Data acquisition module, data acquisition module and GPS module are connect with data processing module, data processing module, network interface forwarding
Module and data memory module are connected to embedded Linux system platform.
The present invention is further improved point and is, data acquisition module includes that at least synchronous acquisition channel, every road are synchronous all the way
Acquisition channel includes bandpass filter and ADC conversion chip, and band logical filter and ADC conversion chip connect through variable gain amplifier
It connects.
The present invention is further improved point and is, the data memory module includes Flash module and for being inserted into for USB flash disk
Usb interface module.
The present invention is further improved point and is that the network interface forwarding module is connected with server.
On the other hand, the present invention provides a kind of fine motion detection wireless telemetry system, including server, user client and by
The fine motion array observation system of above-mentioned fine motion acquisition equipment composition；
Between data transmission channel and server and user client between the fine motion acquisition equipment and server
Data transmission channel established by internet communication mode.
The present invention is further improved point and is, the data transmission channel is socket communication transmission passage.
On the other hand, the present invention provides a kind of data quality monitoring method, can handle and believe with the fine motion of assessment acquisition in real time
Number, include the following steps:
S1, the user client receive the data packet of the server forwarding, when being added with GPS in the data packet
Between stab information and fine motion and acquire device numbering information；
S2, isolated from the data packet timestamp, fine motion acquisition device numbering and fine motion acquisition equipment acquire in real time
Sampled data, the sampled data be fine motion acquire equipment sampled to obtain according to the sampling parameter of setting；
S3, data file corresponding to device numbering is acquired according to fine motion, by sampled data storage to corresponding number
According in file；
S4, judge that data file receives the time span of sampled data and whether is less than pre-set sub- time span L,
S5 is thened follow the steps if not；
S5, sampled data in the sub- time span L is read, and the sub- time span is calculated according to the sampled data of reading
The power spectrum of sampled data in L；
S6, repeat above-mentioned steps S3~S5, and will power spectrum is cumulative at least twice averages, obtain fine motion acquisition
Power spectrum average value corresponding to equipment；
S7, power spectrum average value corresponding to each fine motion acquisition equipment is shown with graphical format, and according to function
Rate is composed average value and is assessed the acquisition quality of fine motion acquisition equipment.
The present invention is further improved point and is, further includes:
Fine motion acquisition equipment is formed into the station pair two-by-two；
Whether the period for judging that the time span that each data file receives sampled data is overlapped is greater than or waits
In the period M of setting；
If so, calculating each station to the spatial autocorrelation coefficient in period M；
The customized micro-tremor signal effective frequency range of user and phase velocity range are subjected to gridding, obtain effective frequency
Grid data and phase velocity grid data；
Using zeroth order standard Bessel function, to the distance between two fine motion of station centering acquisition equipment, effectively frequency
Rate grid data and phase velocity grid data are handled, and netting theory spatial autocorrelation coefficient is obtained；
The spatial autocorrelation coefficient is compared with netting theory spatial autocorrelation coefficient, obtains mesh error；
Mesh error is subjected to color mapping, frequency dispersion is obtained and composes pseudo- chromaticity diagram；
Pseudo- chromaticity diagram is composed according to frequency dispersion to evaluate the quality of data of fine motion acquisition equipment acquisition.
The present invention is further improved point and is, calculates each station to the spatial autocorrelation coefficient in period M described
Later, further includes:
The position coordinates that equipment is prospected according to pre-set each fine motion calculate each station to spacing；
In all stations pair, the spatial autocorrelation coefficient of the identical station pair of spacing is sorted out, and calculate its average value,
And then obtain the actual measurement spatial autocorrelation coefficient of different spacing；
Correspondingly, described to be compared spatial autocorrelation coefficient with netting theory spatial autocorrelation coefficient, obtain grid
Error, specifically:
The actual measurement spatial autocorrelation coefficient average value is compared with netting theory spatial autocorrelation coefficient, obtains grid
Error.
The present invention is further improved point and is, further includes:
Mesh error averaging corresponding to each period M is handled, average error value is obtained；
Average error value is subjected to color mapping, pseudo- chromaticity diagram is composed with real-time update frequency dispersion.
The present invention is further improved point and is, further includes:
The client receives the status information of the fine motion acquisition equipment forwarded through the server, the shape of the equipment
State information includes temperature, electricity, memory space and the sampling parameter of fine motion acquisition equipment；
The client in graphical form shows the status information of fine motion acquisition equipment；
The client moves the sampled data according to the number of the timestamp and fine motion acquisition equipment
State is shown.
The present invention is further improved point and is, further includes:
The client judges whether the data packet packet drop occurs in transmission process according to the timestamp；
If so, the client sends packet loss look-up command to the server, which, which carries, loses
Packet timestamp and fine motion acquire device numbering；
The server parses the packet loss look-up command, and packet loss timestamp and fine motion are acquired device numbering
It is sent to corresponding fine motion acquisition equipment, so that fine motion acquisition equipment reads corresponding data packet according to timestamp and retransmits
To the server.
Compared with prior art, there are following technical effects by the present invention: the fine motion acquisition equipment in the present invention passes through increase
GPS module receives the time signal of GPS satellite standard, by the time signal of GPS satellite standard automatically, in real time to inside
Clock signal is corrected, and synchronous error is less than 15ns, can ensure in the acquisition of long-time data each fine motion acquire equipment into
The synchronism of row data acquisition.
Fine motion detection wireless telemetry system is established between fine motion acquisition equipment and server using internet communication mode
Network connection and the network connection between server and client, the wireless remote-measuring system of composition not by region, landform and
The limitation of transmission range can remotely monitor the data collection task of fine motion acquisition equipment, in time as long as there is communication network covering
Reflect the working condition of field device.
In addition, calculating has user-defined in acquisition micro-tremor signal fine motion detection field conduct quality monitoring process
The power spectrum of each fine motion acquisition equipment in frequency range is imitated, if though the variant form of power spectrum is substantially similar, energy is close, then
The micro-tremor signal for illustrating acquisition is Stochastic Stable State over time and space, and the micro-tremor signal which acquires equipment acquisition is full
Foot requires；If the power spectrum of some or multiple fine motions acquisition equipment there are larger difference, shows that the micro-tremor signal of the acquisition is deposited
It is interfering significantly with, field personnel can give some on the spot guidance processing accordingly.
Detailed description of the invention
With reference to the accompanying drawing, specific embodiments of the present invention will be described in detail:
Fig. 1 is a kind of structural schematic diagram of fine motion acquisition equipment；
Fig. 2 is a kind of structural schematic diagram of fine motion detection wireless telemetry system；
Fig. 3 is a kind of flow diagram of the quality control method of fine motion acquisition equipment；
Fig. 4 is the data quality accessment flow diagram of separate unit fine motion acquisition equipment；
Fig. 5 is the realtime power spectrogram of 10 fine motion acquisition equipment；
Fig. 6 is fine motion array observation system data quality monitoring flow chart；
Fig. 7 is by the observation system real-time frequency dispersion spectrum pseudocolour picture signal calculated that 10 fine motion acquisition equipment form
Figure.
Specific embodiment
In order to further explain feature of the invention, reference should be made to the following detailed description and accompanying drawings of the present invention.Institute
Attached drawing is only for reference and purposes of discussion, is not used to limit protection scope of the present invention.
Embodiment one
As shown in Figure 1, present embodiment discloses a kind of fine motions to acquire equipment, fine motion acquisition equipment picks up shake for being connected to
The output end of device 10, the micro-tremor signal exported to geophone 10 are acquired.Fine motion acquisition equipment include data acquisition module 1,
Data processing module 2, network interface forwarding module 3, GPS module 4 and data memory module 5,10 output end of geophone connection data are adopted
Collect module 1, data acquisition module 1 and GPS module 4 are connect with data processing module 2, and data processing module 2, network interface forward mould
Block 3 and data memory module 5 are connected to embedded Linux system platform.
Wherein, data acquisition module 1 will be sent to data processing module 2 from the micro-tremor signal collected of geophone 10；GPS
Module 4 is used for the standard signal by receiving GPS satellite, and on the basis of the standard signal of GPS satellite, believes its internal clocking
Number progress in real time, automatically corrects, thus the data acquired using the clock signal synchronization data acquisition module 1 after correction,
It can ensure the synchronism of each fine motion acquisition device data acquisition in the acquisition of prolonged data, and real in data acquisition module 1
When the data packet that acquires in addition GPS time stamp information.
Data memory module 5 is used to store embedded Linux system platform 6 and runs required linux system file, and will
The collected micro-tremor signal of data acquisition module 1 is stored；Network interface forwarding module 3 is used for when there is available network, will be sampled
After data add fine motion acquisition device numbering information, transmit to server.
Specifically, data acquisition module 1 includes at least synchronous acquisition channel all the way, and every road synchronous acquisition channel includes band logical
Filter and ADC conversion chip, band logical filter and ADC conversion chip are connected through variable gain amplifier.
Preferably, using three road synchronous acquisition channels in the present embodiment, it is all made of 32-bitADC chip and frequency characteristic phase
Same component improves instrument signal to noise ratio with the quantizing noise of lowering apparatus itself, so that the micro-tremor signal obtained is more smart
Really, the frequency characteristic of each acquisition channel is consistent, and each channel has good consistency.
Specifically, data memory module 5 includes Flash chip and the usb interface module for being inserted into for USB flash disk.Wherein,
Flash chip is for storing linux system file and sampled data is temporary required for embedded Linux system platform 6 is run
It deposits, USB flash disk is for sampled data to be written in USB flash disk in real time.
Specifically, the course of work of the fine motion acquisition equipment in the present embodiment are as follows:
After fine motion acquires device power, start embedded Linux system platform 6, after the completion of initialization, sends GPS instruction
To GPS module 4, GPS module 4 is after acquisition instruction, into search GPS signal state, when successfully getting GPS time signal
Afterwards, feedback signal is sent to embedded Linux system platform 6, and the time reference signal of the GPS satellite by receiving is to it
Internal clock signal is corrected.
Embedded Linux system platform 6 carries out sampling parameter configuration to data processing module 2, which includes adopting
Sample time started, sampling duration, sample rate and sampling channel gain.After the completion of sampling parameter configuration, data acquisition module 1 is opened
Begin from 10 output port sampled data of geophone, and collected sampling data transmitting is sent to data processing module 2, data processing
Clock signal of the module 2 according to GPS module 4 adds GPS time in sampled data and stabs information, and integrate the sampling in 3 channels
Data.Embedded Linux system platform 6 reads the sampled data in data processing module 5 again, and sampled data is separately sent to
Data memory module 5 and network interface forwarding module 3, data memory module 5 write data into data file according to timestamp information
Designated position, and data file is stored in USB flash disk, network interface forwarding module 3 adds fine motion acquisition equipment in sampled data
After number information, then it is packaged into data packet and is sent to server.
It should be noted that data processing module 2 uses fpga chip, there is fpga chip clock frequency height, inside to prolong
The advantages that small, the speed of service is fast late, using the customized system function of FPGA, it can be achieved that live quick response, and it is slow with table tennis
Deposit technology, overcome the influence of system performance fluctuations bring memory rate, be further ensured that fine motion acquisition equipment real-time with
Reliability.
Embodiment two
As shown in Fig. 2, present embodiment discloses a kind of fine motion detection wireless telemetry system, including server 30, Yong Huke
Family end 40 and 2 bicircular fine motion array observation systems being made of 7 above-mentioned fine motion acquisition equipment 20；The fine motion acquires equipment 20
The data transmission channel between data transmission channel and server 30 and user client 40 between server 30 is logical
Internet communication mode is crossed to establish.
The present embodiment uses client-side/server-side (C/S) mode framework, during server end executes in system implementation
Between convert layer function, client includes user client and acquisition device clients, and user client has the function of data monitoring,
For being monitored to acquisition device clients, which is acquired the fine motion array observation that equipment forms by fine motion
System.Client-side/server-side is established conveniently socket and is communicated in the way of the M2M internet communication of the 4G communication technology
Mode, applied to the data transmission channel and user client and server between acquisition device clients and server end
Intermediate data transmission channel.
It should be understood that the Internet in the present embodiment between server-side and client can also pass through 3G, 5G
Etc. the communication technologys establish.
It should be noted that the fine motion detection wireless telemetry system in the present embodiment is due to communicating skill using 3G, 4G, 5G etc.
Art establishes grid connection, due to mobile communication technology have strong antijamming capability, transmission rate be high, the wide network coverage with
And the features such as turn-on time is short, construction cost is low, so that fine motion detection wireless telemetry system is not limited by region, landform, distance etc.
System, as long as there is the covering of 4G signal, energy remote monitoring data collecting work reflects field device operation situation, for setting in time
The settable alarms of abnormal conditions such as standby temperature, electricity, memory space, safeguard in time, improve efficiency, and provide historical data and look into
It askes, is shown by chart.
Specifically, the course of work of fine motion detection wireless telemetry system are as follows:
After fine motion acquisition equipment is connected to server end socket, it includes number that fine motion, which acquires equipment for device status information,
Server-side is transmitted according to temperature, electricity, the storage space information of acquisition state, acquisition equipment.Received server-side is to adopting
After collecting device status information, keep in the information according to acquisition station number, the data acquisition state include sample start times,
Duration, sample rate and channel gain are sampled.Server-side checks whether there is the user client being successfully established, and will update if having
Device status information be forwarded to user client.
After user client is connected to server-side success, the status information of different acquisition equipment will be received first, is used
Family client will graphically show the status information of each acquisition equipment, and then server-side forwards the real-time of each acquisition equipment
Sampled data, when user client receives sampled data information, first separate sampled data in the data packet, timestamp and
Acquisition station number, further according to timestamp and acquisition device numbering information by sampled data real-time dynamic display, while according to difference
Acquisition station corresponds to different data files, and sampled data is written in data file, the position of file is written according to timestamp meter
It obtains.
After the completion of file is written in the sampled data of user client, sends write-in and complete signal, as subsequent quality
Monitoring method carries out data interpretative order, and user client parses sampled data, and wherein user client includes equipment
Monitoring module, teledata recycling module, data management module and quality monitoring module；
Device status monitoring module acquires the status information packet of equipment for monitoring fine motion acquisition device status information, fine motion
Include sampling parameter, temperature, electricity and the storage space information of fine motion acquisition equipment；
The fine motion acquisition equipment sampled data collected that teledata recycling module is used to receive server forwarding is gone forward side by side
Row storage；
Data management module is used to that the sampled data that teledata recycling module is stored to be managed and be integrated, and
The timestamp information carried in obtained data is integrated, the position of data write-in data file is calculated, it will be different micro-
In designated position of the dynamic acquisition equipment sampled data collected according to fine motion acquisition device numbering write-in corresponding data file；
After the completion of data file is written in sampled data by data management module, sends data write-in and complete instruction to quality
Monitoring module；
Quality monitoring module carries out fine motion acquisition equipment quality evaluation for parsing to sampled data.
Specifically, quality monitoring module includes equipment quality monitoring unit and micro-tremor signal quality monitoring unit, in which:
(1) equipment quality monitoring unit is used to calculate the function in the customized effective frequency range of user according to sampled data
Rate spectrum, and be monitored according to quality of the power spectrum to fine motion acquisition equipment.It specifically includes:
Sub- time span L is set first, when the sampling data time length that data file receives is greater than or equal to L,
It reads sub- length L sections of time series datas and calculates the power spectrum of the sub- length L time series data and be denoted as Wi, instantly a sub- time is long
Degree L is met the requirements, and is repeated the above steps, the power spectrum W of finally accumulation and average each periodavj, and by each acquisition equipment
WavjDynamic real-time update is shown power spectrum in the form of a graph.
Power spectrum of the micro-tremor signal of equipment acquisition in effective frequency range is acquired according to each fine motion, if though power spectrum has
Difference, but form is substantially similar, energy is close, illustrate that the micro-tremor signal of acquisition is Stochastic Stable State over time and space,
The micro-tremor signal of acquisition equipment acquisition is met the requirements.If there are larger differences for the power spectrum of some or multiple fine motions acquisition equipment
It is different, show that the micro-tremor signal of fine motion acquisition equipment acquisition exists and interfere significantly with, field personnel can be according to the information to existing
Fine motion acquisition equipment give some on the spot guidance processing.
(2) micro-tremor signal quality monitoring unit composes pseudo- chromaticity diagram for drawing frequency dispersion, and composes assessment fine motion according to frequency dispersion and adopt
Collect the quality of devices collect data.It specifically includes:
The position coordinates of each acquisition equipment are set, and fine motion acquisition equipment is formed into the station pair two-by-two, when all stations pair
Sampling time overlapping period when being greater than or equal to M, calculate separately the spatial autocorrelation coefficient between each station pair, then by spacing
The identical station is averaged to spatial autocorrelation coefficient, obtains spatial autocorrelation coefficient average value.It should be noted that here
The distance between two fine motion of the station centering acquisition equipment of the identical finger of the spacing is identical.
For example the station, to 1 sampling time section 1:00~5:00, the station is 2:00~6:00 to 2 sampling time section, that
The station is exactly 2:00~5:00 to 2 sampling overlapping time to 1 and the station.It should be understood that the period M in the present embodiment
It is the constant for being compared with the station to sampling overlapping time that those skilled in the art obtain by many experiments.
According to the customized effective frequency range of user and phase velocity range, zeroth order standard Bessel function and the station pair are utilized
Distance computation theoretical space auto-correlation coefficient numerical value.Then according to theoretical space autocorrelation values and the station to actual space from
Related coefficient mean value calculation error carries out color mapping that will calculate error, draws out frequency dispersion spectrum pseudocolour picture.
In practical applications, Field Force can compose pseudo- chromaticity diagram stability according to frequency dispersion to evaluate Rayleigh waves frequency
The effect of non-dramatic song line also can assess whether depth of exploration such as meets the requirements according to dispersion curve.It is continuous in frequency dispersion spectrum and when stablizing,
The data collection task that fine motion acquisition equipment can be terminated avoids carrying out unnecessary tediously long data acquisition, improves fine motion acquisition
The data acquisition efficiency of equipment avoids doing over again.
Further, user client also judges whether timestamp discontinuous situation occurs in transmission process, if then table
It is bright Network Packet Loss situation occur, judge the method for Network Packet Loss whether is connected by serial number primary and current time stamp before comparing
It is continuous, if discontinuously, sending specified packet loss timestamp to server-side, server obtains acquisition equipment volume according to the instruction is parsed
Code be forwarded to the acquisition equipment corresponded to that will number according to acquisition station, and acquisition equipment will will be from data according to timestamp information
File reads corresponding data packet, and sends server-side by network interface forwarding module for the data packet.
Embodiment three
As shown in figure 3, being used for for user client to fine motion present embodiment discloses a kind of data quality monitoring method
Data packet transmitted by array observation system is handled, and includes the following steps S1 to S7:
S1, the user client receive the data packet of the server forwarding, when being added with GPS in the data packet
Between stab information and fine motion and acquire device numbering information；
S2, isolated from the data packet timestamp, fine motion acquisition device numbering and fine motion acquisition equipment acquire in real time
Sampled data, the sampled data be fine motion acquire equipment sampled to obtain according to the sampling parameter of setting；
It should be noted that sampling parameter includes the sampling gain for sampling initial time, sampling duration and each channel, it should
Sampling parameter is arranged before data acquisition module 1 carries out data acquisition by embedded Linux system platform 6.
S3, data file corresponding to device numbering is acquired according to fine motion, by sampled data storage to corresponding number
According in file；
It should be noted that the specific location that sampled data is stored in data file is calculated according to timestamp information.
S4, judge that data file receives the time span of sampled data and whether is less than pre-set sub- time span L,
S5 is thened follow the steps if not；
S5, sampled data in the sub- time span L is read, and the sub- time span is calculated according to the sampled data of reading
The power spectrum of sampled data in L, repeats above-mentioned steps S3~S4；
S6, it averages power spectrum is cumulative twice for front and back, obtains power spectrum average value corresponding to fine motion acquisition equipment；
S7, the curved diagram form of power spectrum average value corresponding to each fine motion acquisition equipment is shown, and according to function
Rate is composed average value and is assessed the acquisition quality of fine motion acquisition equipment.
It should be noted that as shown in figure 4, by taking single fine motion acquires equipment quality monitoring process as an example: setting first
Time span L reads L × SampleRate when the newest storage time length of data file for acquiring equipment is greater than or equal to L
A data point, wherein SampleRate is sample rate, calculates the power spectrum of this section of time series data and is recorded as Wi, then linear folded
Add a preceding power spectrum and calculate average value, expression formula is as follows:
In formula: WpreAvjFor a preceding power spectrum average value, WiFor the power spectrum of current sub- time span L, WavjIt is current
Power spectrum average value.
Finally by the W of each acquisition equipmentavjPower spectrum is shown with curve graph, is repeated in above-mentioned process, can be dynamically real
When show update after respectively acquire the power spectrum of equipment.
As shown in figure 5, can be seen that from the realtime power spectrogram for the 10 fine motions acquisition equipment being calculated in effective frequency
Within the scope of rate, though power spectrum is variant, form is substantially similar, and the Energy distribution of all acquisition equipment is in 3-5Hz and 8-22Hz
In range, show that the micro-tremor signal of each fine motion acquisition equipment acquisition is Stochastic Stable State, equipment acquisition over time and space
Micro-tremor signal meet the requirements.If there are larger difference, the fine motions of the acquisition to believe for the power spectrum of some or multiple acquisition equipment
Number exist and to interfere significantly with, field personnel can give some on the spot guidance processing according to the information.
As shown in fig. 6, the present embodiment is also monitored by what is composed to frequency dispersion come the quality of data to observation array system acquisition
It is evaluated, is included the following steps:
A) fine motion acquisition equipment is formed into the station pair two-by-two；
Specifically, it illustrates fine motion acquisition equipment to form a team process: if having fine motion acquisition equipment 1, fine motion acquisition 2 and of equipment
Fine motion acquires equipment 3, and combination of two result is (fine motion acquires equipment 1, and fine motion acquires equipment 2), and (fine motion acquires equipment 1, fine motion
Acquire equipment 3) and (fine motion acquires equipment 2, and fine motion acquires equipment 3).
B) judge period that the time span that each data file receives sampled data is overlapped whether be greater than or
Equal to the period M of setting；
C) if so, calculating each station to the spatial autocorrelation coefficient in period M；
D) the customized micro-tremor signal effective frequency range of user and phase velocity range are subjected to gridding, obtain effective frequency
Rate grid data and phase velocity grid data；
E) zeroth order standard Bessel function is utilized, to the distance between two fine motion of station centering acquisition equipment, effectively
Frequency grid data and phase velocity grid data are handled, and netting theory spatial autocorrelation coefficient is obtained；
F) the spatial autocorrelation coefficient is compared with netting theory spatial autocorrelation coefficient, obtains mesh error；
G) mesh error is subjected to color mapping, obtains frequency dispersion and composes pseudo- chromaticity diagram；
H) pseudo- chromaticity diagram is composed according to frequency dispersion to evaluate the quality of data of fine motion acquisition equipment acquisition.
Specifically, in step c): calculating each station to after the spatial autocorrelation coefficient in period M, further includes:
The position coordinates that equipment is prospected according to pre-set each fine motion calculate each station to spacing, in all stations pair
In, the spatial autocorrelation coefficient of the identical array pair of spacing is sorted out, and calculate its average value, and then obtain the reality of different spacing
Survey spatial autocorrelation coefficient average value；
Correspondingly, step f): spatial autocorrelation coefficient is compared with netting theory spatial autocorrelation coefficient, obtains net
Lattice error, specifically:
The actual measurement spatial autocorrelation coefficient average value is compared with netting theory spatial autocorrelation coefficient, obtains grid
Error.
Further, each array is as follows to the calculation formula of the spatial autocorrelation coefficient in the sub- time M:
In formula: * indicates complex conjugate, SAAnd SOThe Fourier transformation of micro-tremor signal is respectively indicated, r indicates station centering two
Fine motion acquires the distance between equipment, and the π of ω=2 f, f indicate effective frequency.Then the station is adjusted the distance identical spatial autocorrelation
Coefficient calculates average value.
Further, effective frequency range and phase velocity range are initialized, and by frequency and phase velocity gridding, is had
Imitate frequency grid data and phase velocity grid data.According to the distance r of each station pair and effective frequency grid data, phase velocity net
Lattice data calculate the theoretical space auto-correlation coefficient under each grid, and calculation formula is to utilize first kind zero Bessel function,
It is as follows:
In formula: f is effective frequency, vrIt (f) is phase velocity, r indicates the distance between two fine motion of station centering acquisition equipment,
J0(2πfr/vrIt (f)) is first kind zero Bessel function.
Further, the present embodiment also composes pseudo- chromaticity diagram to frequency dispersion and carries out dynamic real-time update, specifically includes:
Respectively linear superposition each sub- time pseudo- frequency dispersion compose error amount, calculate average value, using average value as finally
Frequency dispersion composes pseudo- chromaticity diagram.
Field Force can compose assessment fine motion survey data quality according to the frequency dispersion of real-time update, as shown in fig. 7, being adopted by 10
The fine motion for collecting equipment composition detects table array system, composes pseudo- chromaticity diagram, respectively 1 minute frequency dispersion using frequency dispersion obtained by the above method
The pseudo- chromaticity diagram of spectrum is schemed in real time (referring to Fig. 7-(a)), 5 minutes pseudo- chromaticity diagrams of frequency dispersion spectrum are schemed in real time (referring to Fig. 7-(b)), 15 minutes frequencies
The scattered pseudo- chromaticity diagram of spectrum is schemed in real time (referring to Fig. 7-(c)) and 20 minutes frequency dispersions are composed pseudo- chromaticity diagram and schemed in real time (referring to Fig. 7-(d)).Fig. 7
In, color gray value indicates different size of error amount, and the more dark then error of gray value is bigger, and the smaller then error of gray value is smaller；
Circular hollow line is according to the dispersion curve that error minimum value obtains under different frequency.
Pseudo- chromaticity diagram is composed by frequency dispersion it can be found that frequency dispersion spectrum and dispersion curve have when total sampling time was less than 5 minutes
It is variant and unstable, show sampling time backlog demand, needs to continue acquisition a period of time.It is more than 15 points when the sampling time
Zhong Shi, frequency dispersion composes pseudo- chromaticity diagram and dispersion curve is stable, therefore can be considered that the sampling time has met the requirements, while frequency dispersion spectrum is pseudo-
Chromaticity diagram continuity is excellent, therefore the live fine motion quality of data is high, which provides foundation for later data processing, together
When also avoid doing over again.
Further, the sampled data that server end forwards also is handled as follows in user client:
Client receives the status information of the fine motion acquisition equipment forwarded through the server, the state letter of the equipment
Breath includes temperature, electricity, memory space and the sampling parameter of fine motion acquisition equipment；
The client in graphical form shows the status information of fine motion acquisition equipment；
The client moves the sampled data according to the number of the timestamp and fine motion acquisition equipment
State is shown.
It should be noted that Dynamically Announce is carried out by the status information and sampled data that fine motion is acquired to equipment, so as to
User is intuitively observed.
Further, fine motion acquisition equipment is carried out quality monitoring and being monitored it to sampled data quality above-mentioned
Before, the sampled data that server end forwards also is handled as follows in user client:
The client judges whether the data packet packet drop occurs in transmission process according to the timestamp；
If so, the client sends packet loss look-up command to the server, which, which carries, loses
Packet timestamp and fine motion acquire device numbering；
The server parses the packet loss look-up command, and packet loss timestamp and fine motion are acquired device numbering
It is sent to corresponding fine motion acquisition equipment, so that fine motion acquisition equipment reads corresponding data packet according to timestamp and retransmits
To the server.
It should be noted that by judging whether sampled data packet loss occurs in transmission process according to timestamp information
Situation, to guarantee the integrality of sampled data transmission, to guarantee the accuracy of equipment quality monitoring and sampled data quality monitoring.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (12)
1. a kind of fine motion acquires equipment, which is characterized in that its output end for being connected to geophone (10), including data acquisition module
(1), data processing module (2), network interface forwarding module (3), GPS module (4) and data memory module (5), geophone (10) are defeated
Outlet connects data acquisition module (1), and data acquisition module (1) and GPS module (4) are connect with data processing module (2), number
Embedded Linux system platform (6) are connected to according to processing module (2), network interface forwarding module (3) and data memory module (5).
2. fine motion as described in claim 1 acquires equipment, which is characterized in that the data acquisition module (1) includes at least one
Road synchronous acquisition channel, every road synchronous acquisition channel include bandpass filter and ADC conversion chip, and band logical filter and ADC are converted
Chip is connected through variable gain amplifier.
3. fine motion as claimed in claim 1 or 2 acquires equipment, which is characterized in that the data memory module (5) includes
Flash module and usb interface module for being inserted into for USB flash disk.
4. fine motion as claimed in claim 2 acquires equipment, which is characterized in that the network interface forwarding module (3) is connected with service
Device.
5. a kind of fine motion detection wireless telemetry system, which is characterized in that wanted including server, user client and by the right
Seek the fine motion array observation system of the described in any item fine motion acquisition equipment compositions of 1-4；
The number between data transmission channel and server and user client between the fine motion acquisition equipment and server
It is established by internet communication mode according to transmission channel.
6. fine motion detection wireless telemetry system as claimed in claim 5, which is characterized in that the data transmission channel is
Socket communication transmission passage.
7. a kind of data quality monitoring method, which is characterized in that for the described in any item fine motion arrays of such as claim 5-6
Data packet transmitted by observation system is handled, and is included the following steps:
S1, the user client receive the data packet of the server forwarding, stab in the data packet added with GPS time
Information and fine motion acquire device numbering information；
S2, timestamp, fine motion acquisition device numbering and adopting of acquiring in real time of fine motion acquisition equipment are isolated from the data packet
Sample data, the sampled data are that fine motion acquisition equipment is sampled to obtain according to the sampling parameter of setting；
S3, data file corresponding to device numbering is acquired according to fine motion, by sampled data storage to corresponding data text
In part；
S4, judge that data file receives the time span of sampled data and whether is less than pre-set sub- time span L, if not
Then follow the steps S5；
S5, sampled data in the sub- time span L is read, and is calculated in the sub- time span L according to the sampled data of reading
The power spectrum of sampled data；
S6, repeat above-mentioned steps S3~S5, and will power spectrum is cumulative at least twice averages, obtain fine motion acquisition equipment
Corresponding power spectrum average value；
S7, power spectrum average value corresponding to each fine motion acquisition equipment is shown with graphical format, and according to power spectrum
Average value assesses the acquisition quality of fine motion acquisition equipment.
8. data quality monitoring method as claimed in claim 7, which is characterized in that further include:
Fine motion acquisition equipment is formed into the station pair two-by-two；
Judge whether period that the time span that each data file receives sampled data is overlapped is greater than or equal to set
Fixed period M；
If so, calculating each station to the spatial autocorrelation coefficient in period M；
The customized micro-tremor signal effective frequency range of user and phase velocity range are subjected to gridding, obtain effective frequency grid
Data and phase velocity grid data；
Using zeroth order standard Bessel function, to the distance between two fine motion of station centering acquisition equipment, effective frequency net
Lattice data and phase velocity grid data are handled, and netting theory spatial autocorrelation coefficient is obtained；
The spatial autocorrelation coefficient is compared with netting theory spatial autocorrelation coefficient, obtains mesh error；
Mesh error is subjected to color mapping, frequency dispersion is obtained and composes pseudo- chromaticity diagram；
Pseudo- chromaticity diagram is composed according to frequency dispersion to evaluate the quality of data of fine motion acquisition equipment acquisition.
9. data quality monitoring method as claimed in claim 8, which is characterized in that calculate each station in the period described
After spatial autocorrelation coefficient in M, further includes:
The position coordinates that equipment is prospected according to pre-set each fine motion, calculate the distance between each station pair；
In all stations pair, the spatial autocorrelation coefficient of the identical station pair of spacing is sorted out, and calculate its average value, obtain
The actual measurement spatial autocorrelation coefficient average value of different spacing；
Correspondingly, described to be compared spatial autocorrelation coefficient with netting theory spatial autocorrelation coefficient, mesh error is obtained,
Specifically:
The actual measurement spatial autocorrelation coefficient average value is compared with netting theory spatial autocorrelation coefficient, obtains grid mistake
Difference.
10. data quality monitoring method as claimed in claim 8 or 9, which is characterized in that further include:
Mesh error averaging corresponding to each period M is handled, average error value is obtained；
Average error value is subjected to color mapping, pseudo- chromaticity diagram is composed with real-time update frequency dispersion.
11. data quality monitoring method as claimed in claim 7, which is characterized in that further include:
The client receives the status information of the fine motion acquisition equipment forwarded through the server, the state letter of the equipment
Breath includes temperature, electricity, memory space and the sampling parameter of fine motion acquisition equipment；
The client in graphical form shows the status information of fine motion acquisition equipment；
It is aobvious to be carried out dynamic according to the number of the timestamp and fine motion acquisition equipment by the client for the sampled data
Show.
12. data quality monitoring method as claimed in claim 7, which is characterized in that further include:
The client judges whether the data packet packet drop occurs in transmission process according to the timestamp；
It instructs if so, the client sends packet loss to the server, packet loss instruction includes packet loss timestamp and fine motion
Acquire device numbering information；
The server parses the packet loss look-up command, and packet loss timestamp and fine motion acquisition device numbering are sent
Equipment is acquired to corresponding fine motion, so that fine motion acquisition equipment reads corresponding data packet according to timestamp and is re-transmitted to institute
State server.
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| CN201910169075.5A CN109856675B (en) | 2019-03-06 | 2019-03-06 | Micro-motion acquisition equipment, wireless telemetry system and data quality monitoring method |
| PCT/CN2020/072077 WO2020177491A1 (en) | 2019-03-06 | 2020-01-14 | Seismic noise acquisition device, wireless telemetry system, and data quality monitoring method |
| KR1020217031130A KR102669971B1 (en) | 2019-03-06 | 2020-01-14 | Micromotion collection devices, wireless remote sensing systems, and data quality monitoring methods |
| DE112020000702.2T DE112020000702T5 (en) | 2019-03-06 | 2020-01-14 | MICRO MOTION DETECTION DEVICE, WIRELESS REMOTE MEASUREMENT SYSTEM AND DATA QUALITY MONITORING METHOD |
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| WO2020177491A1 (en) * | 2019-03-06 | 2020-09-10 | 合肥国为电子有限公司 | Seismic noise acquisition device, wireless telemetry system, and data quality monitoring method |
| CN112885452A (en) * | 2019-11-29 | 2021-06-01 | 深圳市大雅医疗技术有限公司 | Data transmission method, device, server and storage medium |
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| CN111432157B (en) * | 2020-02-18 | 2023-04-07 | 视联动力信息技术股份有限公司 | Conference processing method, device, equipment and storage medium based on video networking |
| CN111580155A (en) * | 2020-04-28 | 2020-08-25 | 山东知微智成电子科技有限公司 | Local storage seismic exploration node instrument system with 4G remote monitoring function |
| CN113466939A (en) * | 2021-07-20 | 2021-10-01 | 北京市水电物探研究所 | Micromotion exploration method and micromotion exploration system |
| CN113466939B (en) * | 2021-07-20 | 2024-03-01 | 北京市水电物探研究所 | Micro-motion exploration method and micro-motion exploration system |
| CN113589359A (en) * | 2021-07-27 | 2021-11-02 | 中国科学院地质与地球物理研究所 | Router based on field broadband seismograph observation station and seismograph control method |
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| Publication number | Publication date |
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| WO2020177491A1 (en) | 2020-09-10 |
| KR20210131413A (en) | 2021-11-02 |
| KR102669971B1 (en) | 2024-05-27 |
| CN109856675B (en) | 2024-04-19 |
| DE112020000702T5 (en) | 2021-11-18 |
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