CN103472802B - Wind power generating set intelligent condition monitoring terminal and data processing method thereof - Google Patents

Wind power generating set intelligent condition monitoring terminal and data processing method thereof Download PDF

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Publication number
CN103472802B
CN103472802B CN201310419493.8A CN201310419493A CN103472802B CN 103472802 B CN103472802 B CN 103472802B CN 201310419493 A CN201310419493 A CN 201310419493A CN 103472802 B CN103472802 B CN 103472802B
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data
wind power
power generating
monitoring terminal
condition monitoring
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CN201310419493.8A
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CN103472802A (en
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何斌
沈润杰
文长辉
李刚
唐海峰
蔡蜜
任涛
唐晓城
泮凯翔
邰仕强
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同济大学
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The present invention relates to a kind of wind power generating set intelligent condition monitoring terminal and data processing method thereof, described intelligent condition monitoring terminal includes: data acquisition module, gathers data by setpoint frequency and time, and carries out output after analog-to-digital conversion;Data analysis computing module, is connected with data acquisition module, is analyzed calculating to the data of data collecting module collected, including FFT, wavelet analysis and fault alarm analysis, and is exported by analysis result;Central processing module, is connected with data analysis computing module, intelligent condition monitoring terminal carries out Memory Allocation process, and the analysis result of data analysis module output is transmitted and is shown.Compared with prior art, the present invention has and can realize monitoring in real time, monitors that efficiency is high, effectively reduce the advantages such as maintenance cost.

Description

Wind power generating set intelligent condition monitoring terminal and data processing method thereof

Technical field

The present invention relates to information technology, automatic technology and technical field of new energies, especially relate to a kind of wind-force Generating set intelligent condition monitoring terminal and data processing method thereof.

Background technology

Energy supply shortage or all can be affected the national economic development directly or indirectly by potential threat and economy is pacified Entirely.And the wind energy in the whole world is about 2.74 × 109MW, the most available wind energy is 2 × 107MW, ratio is on the earth The water energy total amount that can develop also wants big 10 times, thus imply that Wind Power Generation Industry will have good development prospect.

Wind-driven generator is the main device of wind-power electricity generation, is the core of wind power technology.The main prison of wind-driven generator Survey parts and include base bearing, gear-box, generator and tower body.Fault mode mainly has: uneven, misalign, Bearing and gear distress.Vibration measurement be the most frequently used to wind-driven generator fault detect and analyzing and diagnosing be also most effective One of instrument.When blower fan needs repairing and safeguards, wind field owner needs to engage maintenance personal, lease large-scale hanging The spare part that car, buying are changed.It is former that wind-driven generator is generally used for broad outlying region such as river, coastal waters Gobi desert, point Cloth area is wide, and quantity is many, and unit is positioned at again tower top, and away from Surveillance center, maintenance cost is high, to maintenance and repair Cause difficulty (such as personnel equipment's entrance etc.), the maintenance of current wind energy turbine set, use planned maintenance and correction maintenance side more Formula, i.e. general wind energy conversion system carries out routine maintenance after running the regular hour, and this kind of maintenance is difficult to comprehensively, in time Solve equipment operation condition, often result in maintenance work long-drawn-out, lose great.

Summary of the invention

Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and provide one can realize in real time Monitoring, monitoring efficiency wind power generating set intelligent condition monitoring terminal high, effectively minimizing maintenance cost and data thereof Processing method.

The purpose of the present invention can be achieved through the following technical solutions:

A kind of wind power generating set intelligent condition monitoring terminal, is arranged in wind power generating set, and by network with Monitoring server connects, and this intelligent condition monitoring terminal includes:

Data acquisition module, gathers data by setpoint frequency and time, and carries out output after analog-to-digital conversion;

Data analysis computing module, is connected with data acquisition module, carries out the data of data collecting module collected point Analysis calculates, and including FFT, wavelet analysis and fault alarm analysis, and is exported by analysis result;

Central processing module, is connected with data analysis computing module, and intelligent condition monitoring terminal is carried out Memory Allocation Process, and the analysis result of data analysis module output is transmitted and shows.

Described data acquisition module includes sensor group, signal sampling channel and FPGA, described sensor group It is arranged in wind power generating set, and is connected with FPGA by signal sampling channel.

Described sensor group includes low frequency type vibration acceleration sensor, universal vibration acceleration sensor and position Put sensor;

Described signal sampling channel includes analog signal parallel acquisition passage and serial acquisition passage.

Described data analysis computing module includes DSP core, and this DSP core is connected with FPGA.

Described central processing module includes:

ARM kernel, coordinate each interfaces, storage allocation, display data analysis result and realize with The communication of monitoring server;

Network interface card, is connected with ARM kernel, for the network communication with monitoring server;

RS485/RS232 communication interface, is connected with ARM kernel, for other data acquisition equipments external;

JTag interface, is connected with ARM kernel, is used for downloading driving, system and application program;

LCD touch screen, is connected with ARM kernel, shows for figure and receives the operational order to terminal;

USB1.0/2.0 interface, is connected with ARM kernel, for external input equipment or plug-in 100G USB Hard disk or extension 3G communication module;

Storage card, is connected with ARM kernel, deposits data or the intermediate data of process after process for temporarily.

Described ARM kernel is allocated internal memory particularly as follows: ARM kernel takies the 50% of total internal memory, DSP Kernel takies the 25% of total internal memory, and the shared drive of ARM kernel and DSP core takies the 25% of total internal memory.

The figure that described LCD touch screen shows includes trend waveform, spectrogram, orbit of shaft center, three-dimensional rotating speed Order figure, Bode figure, speed diagram, weight acquisition time waveform and polar coordinates figure.

Described network communication includes real-time data communication and historical data communication.

The data processing method of a kind of wind power generating set intelligent condition monitoring terminal, comprises the following steps:

1) FPGA receives the real-time data collection of sensor group according to setpoint frequency by signal sampling channel, and Send data to after data are carried out analog-to-digital conversion in the caching of DSP core;

2) DSP core preserves the data received and carries out FFT, wavelet analysis and characteristics extraction successively, Obtain data total characteristic;

3) DSP core carries out fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal feelings Condition, then report to the police and preserve the historical data of 10 minutes before and after abnormity point, and exporting analysis result to ARM kernel;

4) analysis result is shown in LCD touch screen by ARM kernel, and by network interface card by analysis result and reality Time gather data be transferred to monitoring central server.

When there are abnormal conditions and send warning in the running that DSP core screens wind power generating set, DSP Kernel carries out the storage of historical data.

Compared with prior art, the invention have the advantages that

1) intelligent condition monitoring termination set data acquisition of the present invention, data analysis show with fault diagnosis and data drawing list It is shown in one, it is achieved round-the-clock uninterrupted real-time sampling and malfunction monitoring.

2) present invention uses event driven manner, it is possible to screen the abnormality in the running of unit delicately, Once unit operation has any abnormal signs can produce the storage reporting to the police and carrying out historical data the most delicately.

Accompanying drawing explanation

Fig. 1 is intelligent condition monitoring terminal hardware structural representation of the present invention;

Fig. 2 is that schematic diagram is distributed in memory function region of the present invention;

Fig. 3 is data processing shelf figure of the present invention;

Fig. 4 is data processing shelf flow chart of the present invention.

Detailed description of the invention

The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with the technology of the present invention side Implement premised on case, give detailed embodiment and concrete operating process, but the protection model of the present invention Enclose and be not limited to following embodiment.

As it is shown in figure 1, a kind of wind power generating set intelligent condition monitoring terminal, it is arranged in wind power generating set, And be connected with monitoring server by network, this intelligent condition monitoring terminal is placed in tower top cabin, gathers wind-force The various signals such as the vibration signal of the critical components such as the base bearing of generating set, gear-box, generator and rotating speed, It is responsible for the online monitoring of local data and accident analysis, and the display at scene and warning, can be with response server Complete Initialize installation and status monitoring function arranges and realizes and the data transmission of server.This intellectual status is supervised Survey terminal includes:

Data acquisition module, gathers data by setpoint frequency and time, and carries out output after analog-to-digital conversion;

Data analysis computing module, is connected with data acquisition module, carries out the data of data collecting module collected point Analysis calculates, and including FFT, wavelet analysis and fault alarm analysis, and is exported by analysis result;

Central processing module, is connected with data analysis computing module, and intelligent condition monitoring terminal is carried out Memory Allocation Process, and the analysis result of data analysis module output is transmitted and shows.

This intelligent condition monitoring terminal also includes clock and reset circuit, power module.

Described data acquisition module includes sensor group, signal sampling channel 1 and FPGA (EP4CE10) 2, Described sensor group is arranged in wind power generating set, and is connected with FPGA2 by signal sampling channel 1. FPGA triggers sampling when wind speed more than 4m/s, and every 5s is repeated once, and preserves 10 minute datas before and after key point. FPGA adjusts circuit and the duty of low pass filter LPF regulation signal sampling channel by signal amplitude.

Described sensor group includes that 2 low frequency type vibration acceleration sensors, 6 universal vibration accelerations pass Sensor and 2 position sensors, be mainly distributed on main shaft bearing, gear-box, crucial vibrating mass, Yi Jichi On the crucial vibrating mass such as roller box inputs and the rotating speed of output shaft, generator, and gear-box inputs and output shaft Rotating speed.Described signal sampling channel includes 4 tunnels analog signal parallel acquisition passage (AD766) and 8 tunnel serials Acquisition channel (AD7689), vertical resolution is 16.

Described data analysis computing module includes DSP core 3, and this DSP core 3 is connected with FPGA2. The function of DSP core includes time-domain signal carrying out FFT, time-domain signal being carried out wavelet transformation, feature Extract and fault alarm analysis.

Described central processing module includes:

ARM kernel 4, coordinates each interfaces, storage allocation, display data analysis result and realization Communication with monitoring server;

Network interface card 5, is connected with ARM kernel 4, for the network communication with monitoring server;

RS485/RS232 communication interface 6, is connected with ARM kernel 4, for other data acquisition equipments external;

JTag interface 7, is connected with ARM kernel 4, is used for downloading driving, system and application program;

LCD touch screen 8, is connected with ARM kernel 4, shows for figure and receives the operational order to terminal;

USB1.0/2.0 interface 9, is connected with ARM kernel 4, for external input equipment or plug-in 100G USB Hard disk or extension 3G communication module;

Storage card (SD card) 10, is connected with ARM kernel 4, deposits data or place after process for temporarily The intermediate data of reason.

As in figure 2 it is shown, described ARM kernel is allocated internal memory particularly as follows: ARM kernel takies total internal memory 50%, DSP core take the 25% of total internal memory (SDRAM), ARM kernel and DSP core share Internal memory (Shared) takies the 25% of total internal memory, thus reduces the time of data communication between ARM and DSP, Reach generating date.ARM kernel and DSP core are respectively connected with FLASH.ARM kernel and DSP Kernel is provided by DM3730.

The figure that described LCD touch screen shows includes:

Trend oscillogram, in being the long period, each basic frequency of signal time dependent vibration amplitude curve map, use Carry out the trend of analysis component vibration;

Speed diagram, is the curve map of time and rotating speed, is used for reflecting that rotating speed is in value the most in the same time;

Resampling time waveform figure, be secondary integer-period sampled under signal time domain figure, be used for show under this passage The time domain beamformer of sensor;

Spectrogram, is the curve map of frequency and amplitude, and abscissa is the ratio of signal frequency and basic frequency, is used for analyzing Location of fault, type and degree;

Chart of axes track, is on rotor cross-section, and axle center, relative to the running orbit figure of axle bed, turns for reflecting Son is relative to the whirling motion situation of bearing shell, it may be determined that rotating shaft peak swing value and direction thereof, determine rotating shaft whirling motion aspect and Its frequency, measures the vibration shape of axle system, the fault such as diagnosing machinery is uneven, misalign, oil whirl;

Shaft core position figure, is that axle center, relative to the location drawing of bearing block, is generally used for examining when not considering radial vibration The common mechanical disorders such as disconnected Oil Film Instability, axle system misaligns, seal friction, bearing wear or assembling loosen;

BODE schemes, and is the rotor amplitude-frequency response that amplitude and phase place change with excited frequency (rotating speed) is different and phase Frequently response curve, can react rotor build-in attribute with the critical speed of identification system and the dam ping conditions of system, Effectively screen the faults such as rotor defect, temperature distortion;

Polar coordinates figure, is the amplitude under the different rotating speed of rotor and the graph of a relation of phase place, reaction rotor amplitude and phase Outside the Changing Pattern of position.Identical with BODE figure, react the build-in attribute of rotor, can effectively screen rotor and lack The faults such as damage, temperature distortion;

Three-dimensional rotating speed order figure, is the frequency spectrum spectrum battle array with rotation speed change of rotor oscillation signal, uses contrast version anti- Should various frequency contents with the situation of change of rotating speed, be used for rotor fault diagnosis during rotation speed change with point Analysis;

Data sheet, is amplitude and the phase place list of each frequency of each passage of real time data, carries for fault diagnosis For datagram forms analysis.

Described network communication includes real-time data communication and historical data communication:

Real-time data communication, server request sends real time data, then the data gathered in internal memory are sent by terminal On server;

Historical data communication, owing to large-scale wind field has up to a hundred terminals, data can not be sent to service the most in real time Device, therefore first be there is this locality in data, device to be serviced reads.

The data processing method of above-mentioned wind power generating set intelligent condition monitoring terminal, comprises the following steps:

1) FPGA receives the real-time data collection of sensor group according to setpoint frequency by signal sampling channel, and Transfer data to after data are carried out analog-to-digital conversion in the caching of DSP core;

2) DSP core preserves the data received and carries out FFT, wavelet analysis and characteristics extraction successively, Obtain data total characteristic;

3) DSP core carries out fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal feelings Condition, then report to the police and preserve the historical data of 10 minutes before and after abnormity point, and exporting analysis result to ARM kernel;

4) analysis result is shown in LCD touch screen by ARM kernel, and by network interface card by analysis result and reality Time gather data be transferred to monitoring central server.

Above-mentioned data processing method uses event driven manner, it is possible to that screens in the running of unit delicately is different Often state, once unit operation has any abnormal signs can produce warning the most delicately and carry out historical data Storage: be an alert detecting about system, statistical learning and the aggregate concept of history data store.Machine The storage of group operation history data is not determined by the time, but on the premise of unit operation is reported to the police, also It is exactly in the case of event occurs, retains historical data.

As it is shown on figure 3, intelligent condition monitoring terminal needs to carry out continuous acquisition analytical calculation.Data acquisition shown in figure The framework of set analysis, each data acquisition channel is ined succession FIFO, is then connected to caching by DMA channel. Caching uses and caches loop structure more.When a caching accepts data, other are delayed by available DSP and ARM Deposit into row Data Management Analysis.The algorithm of analyzing and processing is saved in Expert Rules storehouse.Expert Rules storehouse is saved in In FLASH, when program is run, opening up a memory space in ARM internal memory, loading rule storehouse, at quickening Reason speed.

The corresponding result storage area of each caching, the characteristic value i.e. calculated by rule base.Four buffer areas pair Answer four characteristic value memory blocks.Characteristic value is not single data, is the data of one group of reaction fan operation situation.Special Value indicative region is to leave in shared drive.According to characteristic value, ARM determines which data leaves SD card in, which A little data leave USB hard disk in, and which data is sent to server.It is stored to SD card, and the number of USB hard disk According to being deposited by database software, the inquiry of convenient data later.

As shown in Figure 4, data acquisition process program flow diagram.In program, really multiple task parallelisms are carried out.

1) data acquisition process, in continual data acquisition to caching.

2) data calculation procedure, utilizes rule base to calculate the data in caching, calculates characteristic value.This Individual process is undertaken in two steps, and calculates the data of single cache for the first time, draws the spy of this data cached correspondence Value indicative.Owing to starting point and the end point of one piece of data are all fixing, it not the most that fan condition changes Starting point.The characteristic value of one caching many times can not truly reflect the operation conditions of blower fan, in order to obtain reflection wind Data before this segment data and data below need to be analyzed by the partial data of machine state.So, when certain When the characteristic value of segment data reflects some problems, three segment datas with this data segment center comprehensively need to be analyzed Calculate, again obtain a characteristic value.Data flow mainly has two: one to be detailed data, is primarily present In SD card or USB hard disk, data volume is bigger.Data in SD card or USB hard disk are deposited as short-term data Storage media, deposits the detailed data in nearest January;Another is characteristic value and some other main data, also There is alarm signal, be sent to server.

3) interprocess communication, the transmission data mentioned in process 2, the most independent as an independent process. Relation between each process, calculates because this terminal is Real-time Collection, and the operation of each process has the strict time to want Ask.The time that process 2 is run, less than in process 1, once caches the required time.Process 2 and process 1 Some internal memory is shared.The time requirement of interprocess communication is less strict, but must have independent memory space. Data are provided for process 3 by process 2.Real-time data acquisition processing routine, also relates to program initialization, terminal The functions such as display.Terminal also includes local graphical display function.

Claims (9)

1. a wind power generating set intelligent condition monitoring terminal, is arranged in wind power generating set, and passes through net Network is connected with monitoring server, it is characterised in that this intelligent condition monitoring terminal includes:
Data acquisition module, gathers data by setpoint frequency and time, and carries out output after analog-to-digital conversion;
Data analysis computing module, is connected with data acquisition module, carries out the data of data collecting module collected point Analysis calculates, and including FFT, wavelet analysis and fault alarm analysis, and is exported by analysis result;
Central processing module, is connected with data analysis computing module, and intelligent condition monitoring terminal is carried out Memory Allocation Process, and the analysis result of data analysis module output is transmitted and shows;
Described data analysis computing module, for when the characteristic value of certain segment data reflects problem, need to count with this Carry out comprehensive analytical calculation according to the leading portion centered by section, back segment and this segment data, again obtain a characteristic value;
Described data acquisition module includes sensor group, signal sampling channel and FPGA, described sensor group peace It is contained in wind power generating set, and is connected with FPGA by signal sampling channel;
Described sensor group includes that 2 low frequency type vibration acceleration sensors, 6 universal vibration accelerations pass Sensor and 2 position sensors.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 1, it is characterised in that Described signal sampling channel includes analog signal parallel acquisition passage and serial acquisition passage.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 1, it is characterised in that Described data analysis computing module includes DSP core, and this DSP core is connected with FPGA.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 1, it is characterised in that Described central processing module includes:
ARM kernel, coordinate each interfaces, storage allocation, display data analysis result and realize with The communication of monitoring server;
Network interface card, is connected with ARM kernel, for the network communication with monitoring server;
RS485/RS232 communication interface, is connected with ARM kernel, for other data acquisition equipments external;
JTag interface, is connected with ARM kernel, is used for downloading driving, system and application program;
LCD touch screen, is connected with ARM kernel, shows for figure and receives the operational order to terminal;
USB1.0/2.0 interface, is connected with ARM kernel, for external input equipment or plug-in 100G USB Hard disk or extension 3G communication module;
Storage card, is connected with ARM kernel, deposits data or the intermediate data of process after process for temporarily.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 4, it is characterised in that Described ARM kernel is allocated internal memory particularly as follows: ARM kernel takies the 50% of total internal memory, DSP core Taking the 25% of total internal memory, the shared drive of ARM kernel and DSP core takies the 25% of total internal memory.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 4, it is characterised in that The figure that described LCD touch screen shows includes trend waveform, spectrogram, orbit of shaft center, three-dimensional rotating speed order Figure, Bode figure, speed diagram, resampling time waveform and polar coordinates figure, wherein:
Three-dimensional rotating speed order figure is the frequency spectrum spectrum battle array with rotation speed change of rotor oscillation signal, uses contrast version reaction Various frequency contents with the situation of change of rotating speed, be used for rotor fault diagnosis during rotation speed change with point Analysis;Resampling time waveform be secondary integer-period sampled under signal time domain figure, be used for show under this passage sense The time domain beamformer of device.
A kind of wind power generating set intelligent condition monitoring terminal the most according to claim 4, it is characterised in that Described network communication includes real-time data communication and historical data communication.
8. a data processing method for wind power generating set intelligent condition monitoring terminal as claimed in claim 4, It is characterized in that, comprise the following steps:
1) FPGA receives the real-time data collection of sensor group according to setpoint frequency by signal sampling channel, and Transfer data to after data are carried out analog-to-digital conversion in the caching of DSP core;
2) DSP core preserves the data received and carries out FFT, wavelet analysis and characteristics extraction successively, Obtain data total characteristic;When the characteristic value of certain segment data reflects problem, need to be to before centered by this data segment Section, back segment and this segment data carry out comprehensive analytical calculation, again obtain a characteristic value;
3) DSP core carries out fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal feelings Condition, then report to the police and preserve the historical data of 10 minutes before and after abnormity point, and exporting analysis result to ARM kernel;
4) analysis result is shown in LCD touch screen by ARM kernel, and by network interface card by analysis result and reality Time gather data be transferred to monitoring central server.
The data process side of a kind of wind power generating set intelligent condition monitoring terminal the most according to claim 8 Method, it is characterised in that when the running of DSP core examination wind power generating set exists abnormal conditions and sends During warning, DSP core carries out the storage of historical data.
CN201310419493.8A 2013-09-13 2013-09-13 Wind power generating set intelligent condition monitoring terminal and data processing method thereof CN103472802B (en)

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