CN103472802A - Wind generating set intelligent condition monitoring terminal and data processing method thereof - Google Patents
Wind generating set intelligent condition monitoring terminal and data processing method thereof Download PDFInfo
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Abstract
The invention relates to a wind generating set intelligent condition monitoring terminal and a data processing method of the wind generating set intelligent condition monitoring terminal. The wind generating set intelligent condition monitoring terminal comprises a data collecting module, a data analytical calculation module and a central processing module, wherein the data collecting module is used for colleting data according to set frequency and set time, conducting analog-digital conversion and outputting the data, the data analytical calculation module is connected with the data collecting module to conduct analytical calculation on the data collected by the data collecting module, the steps comprise FFT conversion, wavelet analysis and failure warning analysis and is used for outputting analytical calculation results, and the central processing module is connected with the data analytical calculation module, conducts memory allocation processing on the intelligent condition monitoring terminal, and transmits and displays the analytical calculation results output by the data analytical calculation module. Compared with the prior art, the wind generating set intelligent condition monitoring terminal and the data processing method of the wind generating set intelligent condition monitoring terminal have the advantages of being capable of achieving real-time monitoring and high in monitoring efficiency, effectively reducing maintenance cost and the like.
Description
Technical field
The present invention relates to infotech, automatic technology and technical field of new energies, especially relate to a kind of wind power generating set intelligent condition monitoring terminal and data processing method thereof.
Background technology
Energy supply shortage or be subject to potential threat and all can affect directly or indirectly the national economic development and economic security.And the wind energy in the whole world is about 2.74 * 10
9mW, wherein available wind energy is 2 * 10
7mW, than also large 10 times of the water energy total amounts that can develop on the earth, indicating that Wind Power Generation Industry will have good development prospect thus.
Aerogenerator is the main device of wind-power electricity generation, is the core of wind power technology.The main monitoring component of aerogenerator comprises main bearing, gear case, generator and tower body.Fault mode mainly contains: uneven, misalign, bearing and gear distress.Vibration survey be to the aerogenerator fault detect and analyzing and diagnosing the most frequently used be also one of the most effective instrument.When blower fan needs repairing and safeguard, the wind field owner need to engage the maintenance personal, leases large-scale crane, purchase the spare part of changing.It is as former as river, coastal waters Gobi desert that aerogenerator generally is applied to broad outlying region, distribution area is wide, and quantity is many, unit is positioned at again tower top, away from Surveillance center, maintenance cost is high, maintenance and repair is caused to difficulty (entering such as personnel's equipment etc.), the maintenance of wind energy turbine set at present adopts scheduled maintenance and correction maintenance mode more, be that general wind energy conversion system carries out routine maintenance after the operation regular hour, this kind of maintenance is difficult to understand comprehensively, in time equipment operation condition, often causes maintenance job long-drawn-out, loses great.
Summary of the invention
Purpose of the present invention is exactly that a kind of wind power generating set intelligent condition monitoring terminal and data processing method thereof that realizes that Real-Time Monitoring, monitoring efficiency are high, effectively reduce maintenance cost is provided in order to overcome the defect that above-mentioned prior art exists.
Purpose of the present invention can be achieved through the following technical solutions:
A kind of wind power generating set intelligent condition monitoring terminal, be arranged on wind power generating set, and be connected with monitoring server by network, and this intelligent condition monitoring terminal comprises:
Data acquisition module, press setpoint frequency and time image data, and carry out exporting after analog to digital conversion;
The data analysis computing module, be connected with data acquisition module, and the data analysis calculating to data collecting module collected, comprise FFT conversion, wavelet analysis and fault alarm analysis, and analysis result is exported;
Central processing module, be connected with the data analysis computing module, and the intelligent condition monitoring terminal is carried out to the Memory Allocation processing, and the analysis result of data analysis module output is transmitted and shows.
Described data acquisition module comprises sensor group, signal sampling channel and FPGA, and described sensor group is arranged on wind power generating set, and is connected with FPGA by signal sampling channel.
Described sensor group comprises low frequency type vibration acceleration sensor, universal vibration acceleration sensor and position transducer;
Described signal sampling channel comprises simulating signal parallel acquisition passage and serial acquisition passage.
Described data analysis computing module comprises the DSP kernel, and this DSP kernel is connected with FPGA.
Described central processing module comprises:
The ARM kernel, coordinate the communication of each interfaces, storage allocation, display data analysis result and realization and monitoring server;
Network interface card, be connected with the ARM kernel, for the network communication with monitoring server;
The RS485/RS232 communication interface, be connected with the ARM kernel, for external other data acquisition equipments;
The JTag interface, be connected with the ARM kernel, for downloading driving, system and application program;
The LCD touch-screen, be connected with the ARM kernel, for figure, shows and receive the operational order to terminal;
The USB1.0/2.0 interface, be connected with the ARM kernel, for external input equipment or plug-in 100G USB hard disk or expansion 3G communication module;
Storage card, be connected with the ARM kernel, for deposit the intermediate data of processing rear data or processing temporarily.
Described ARM kernel carries out storage allocation and is specially: the ARM kernel takies 50% of total internal memory, and the DSP kernel takies 25% of total internal memory, and the shared drive of ARM kernel and DSP kernel takies 25% of total internal memory.
The figure that described LCD touch-screen shows comprises trend waveform, spectrogram, orbit of shaft center, three-dimensional rotating speed order figure, Bode figure, speed diagram, heavy acquisition time waveform and polar coordinates figure.
Described network communication comprises real-time data communication and historical data communication.
A kind of data processing method of wind power generating set intelligent condition monitoring terminal comprises the following steps:
1) FPGA passes through the real-time data collection of signal sampling channel receiving sensor group according to setpoint frequency, and data are carried out sending data in the buffer memory of DSP kernel after analog to digital conversion;
2) the DSP kernel is preserved the data that receive and is carried out successively FFT conversion, wavelet analysis and eigenwert and extract, and obtains the data total characteristic;
3) the DSP kernel carries out the fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal conditions, report to the police and preserve the abnormity point front and back historical data of 10 minutes, and to ARM kernel output analysis result;
4) the ARM kernel is presented at analysis result in the LCD touch-screen, and by network interface card, analysis result and real-time data collection is transferred to monitoring central server.
When there are abnormal conditions in the operational process of DSP kernel examination wind power generating set and send warning, the DSP kernel carries out the storage of historical data.
Compared with prior art, the present invention has the following advantages:
1) intelligent condition monitoring termination set of the present invention data acquisition, data analysis and fault diagnosis and data drawing list are shown in one, realize round-the-clock uninterrupted real-time sampling and malfunction monitoring.
2) the present invention adopts event driven manner, can screen delicately the abnormality in the operational process of unit, once unit operation has any abnormal sign can both accurately produce delicately the storage of reporting to the police and carrying out historical data.
The accompanying drawing explanation
Fig. 1 is intelligent condition monitoring terminal hardware structural representation of the present invention;
Fig. 2 is memory function region allocation schematic diagram of the present invention;
Fig. 3 is that data of the present invention are processed frame diagram;
Fig. 4 is that data of the present invention are processed the framework process flow diagram.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.The present embodiment be take technical solution of the present invention and is implemented as prerequisite, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, a kind of wind power generating set intelligent condition monitoring terminal, be arranged on wind power generating set, and be connected with monitoring server by network, this intelligent condition monitoring terminal is placed in the tower top cabin, the various signals such as the vibration signal of the critical components such as the main bearing of collection wind power generating set, gear case, generator and rotating speed, be responsible for online monitoring and the fault analysis of local data, and on-the-spot demonstration and warning, can response server complete the data transmission of initialization setting and status monitoring function setting and realization and server.This intelligent condition monitoring terminal comprises:
Data acquisition module, press setpoint frequency and time image data, and carry out exporting after analog to digital conversion;
The data analysis computing module, be connected with data acquisition module, and the data analysis calculating to data collecting module collected, comprise FFT conversion, wavelet analysis and fault alarm analysis, and analysis result is exported;
Central processing module, be connected with the data analysis computing module, and the intelligent condition monitoring terminal is carried out to the Memory Allocation processing, and the analysis result of data analysis module output is transmitted and shows.
This intelligent condition monitoring terminal also comprises clock and reset circuit, power module.
Described data acquisition module comprises sensor group, signal sampling channel 1 and FPGA (EP4CE10) 2, and described sensor group is arranged on wind power generating set, and is connected with FPGA2 by signal sampling channel 1.FPGA triggers sampling when wind speed is greater than 4m/s, and every 5s repeats once, preserves key point front and back 10 minute datas.FPGA is by the duty of signal amplitude Circuit tuning and low-pass filter LPF conditioning signal acquisition channel.
Described sensor group comprises 2 low frequency type vibration acceleration sensors, 6 universal vibration acceleration sensors and 2 position transducers, mainly be distributed on main shaft bearing, gear case, crucial vibrating mass, and the rotating speed of gear case input and output axle, on the crucial vibrating mass such as generator, and the rotating speed of gear case input and output axle.Described signal sampling channel comprises 4 tunnel simulating signal parallel acquisition passages (AD766) and 8 road serial acquisition passages (AD7689), and vertical resolution is 16.
Described data analysis computing module comprises DSP kernel 3, and this DSP kernel 3 is connected with FPGA2.The function of DSP kernel comprises carries out the FFT conversion, time-domain signal is carried out to wavelet transformation, feature extraction and fault alarm analysis time-domain signal.
Described central processing module comprises:
ARM kernel 4, coordinate the communication of each interfaces, storage allocation, display data analysis result and realization and monitoring server;
Network interface card 5, be connected with ARM kernel 4, for the network communication with monitoring server;
RS485/RS232 communication interface 6, be connected with ARM kernel 4, for external other data acquisition equipments;
JTag interface 7, be connected with ARM kernel 4, for downloading driving, system and application program;
LCD touch-screen 8, be connected with ARM kernel 4, for figure, shows and receive the operational order to terminal;
USB1.0/2.0 interface 9, be connected with ARM kernel 4, for external input equipment or plug-in 100G USB hard disk or expansion 3G communication module;
Storage card (SD card) 10, be connected with ARM kernel 4, for deposit the intermediate data of processing rear data or processing temporarily.
As shown in Figure 2, described ARM kernel carries out storage allocation and is specially: the ARM kernel takies 50% of total internal memory, the DSP kernel takies 25% of total internal memory (SDRAM), the shared drive of ARM kernel and DSP kernel (Shared) takies 25% of total internal memory, thereby reduce the time of data communication between ARM and DSP, reach data and process in real time.ARM kernel and DSP kernel all are connected with FLASH.ARM kernel and DSP kernel are provided by DM3730.
The figure that described LCD touch-screen shows comprises:
The trend oscillogram, be in the long period, and the time dependent vibration amplitude curve map of each basic frequency of signal is used for the trend of analysis component vibration;
Speed diagram, be the curve map of time and rotating speed, is used for reflecting that rotating speed is in value in the same time not;
The resampling time waveform figure, be the signal time domain figure of secondary under integer-period sampled, is used for showing the time domain waveform figure of this passage lower sensor;
Spectrogram, be the curve map of frequency and amplitude, and horizontal ordinate is signal frequency and the ratio of predominant frequency, is used for position, type and the degree of analysis of failure;
Chart of axes track, on rotor cross-section, axle center is with respect to the running orbit figure of axle bed, be used for reflecting the whirling motion situation of rotor with respect to bearing shell, can determine rotating shaft peak swing value and direction thereof, determine rotating shaft whirling motion aspect and frequency thereof, measure the vibration shape of axle system, the faults such as diagnosing machinery is uneven, misalign, oil whirl;
Shaft core position figure is that axle center, with respect to the location drawing of bearing seat, is generally used for diagnosing that Oil Film Instability, axle system misaligns, seal friction, bearing wear or the common mechanical disorder such as assembling is loosening when not considering radial vibration;
BODE figure, rotor amplitude and phase place change with excited frequency (rotating speed) difference amplitude-frequency response and phase-frequency response curve map, critical rotary speed that can identification system and the damping situation of system, reaction rotor build-in attribute, effectively screen the faults such as rotor is damaged, temperature distortion;
The polar coordinates figure is amplitude under the different rotating speed of rotor and the graph of a relation of phase place, outside the Changing Pattern of reaction rotor amplitude and phase place.Identical with BODE figure, reacted the build-in attribute of rotor, can effectively screen the faults such as rotor is damaged, temperature distortion;
Three-dimensional rotating speed order figure, be the spectrum battle array of the frequency spectrum of rotor oscillation signal with rotation speed change, adopts contrast version to react the situation of change of various frequency contents with rotating speed, is used for the Diagnosis and Analysis in the rotation speed change process to rotor;
Data sheet is amplitude and the phase place list of each frequency of each passage of real time data, for fault diagnosis provides the analysis of datagram tabular form.
Described network communication comprises real-time data communication and historical data communication:
Real-time data communication, server request sends real time data, and terminal sends on server gathering the data of coming in internal memory;
The historical data communication, because large-scale wind field has up to a hundred terminals, data can not send to server in real time, therefore first data are existed to this locality, treat that server reads simultaneously.
The data processing method of above-mentioned wind power generating set intelligent condition monitoring terminal comprises the following steps:
1) FPGA passes through the real-time data collection of signal sampling channel receiving sensor group according to setpoint frequency, and data are carried out transferring data in the buffer memory of DSP kernel after analog to digital conversion;
2) the DSP kernel is preserved the data that receive and is carried out successively FFT conversion, wavelet analysis and eigenwert and extract, and obtains the data total characteristic;
3) the DSP kernel carries out the fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal conditions, report to the police and preserve the abnormity point front and back historical data of 10 minutes, and to ARM kernel output analysis result;
4) the ARM kernel is presented at analysis result in the LCD touch-screen, and by network interface card, analysis result and real-time data collection is transferred to monitoring central server.
Above-mentioned data processing method adopts event driven manner, can screen delicately the abnormality in the operational process of unit, once unit operation has any abnormal sign can both accurately produce delicately the storage of reporting to the police and carrying out historical data: the aggregate concept that is an alert detecting about system, statistical learning and history data store.The storage of unit operation historical data is by Time dependent, but, under the prerequisite that unit operation occurs to report to the police, namely, in the situation that event occurs, retains historical data.
As shown in Figure 3, the intelligent condition monitoring terminal need to be carried out the continuous acquisition analytical calculation.The framework of the data collection and analysis shown in figure, each data acquisition channel FIFO that ins succession, then be connected to buffer memory by the DMA passage.Buffer memory adopts many buffer memorys loop structure.When a buffer memory is accepted data, available DSP and ARM carry out Data Management Analysis to other buffer memorys.The algorithm of analyzing and processing is kept in the Expert Rules storehouse.The Expert Rules storehouse is kept in FLASH, during the program operation, opens up a storage space in the ARM internal memory, and the loading rule storehouse, with speed up processing.
The corresponding storage area as a result of each buffer memory, the eigenwert calculated by rule base.Four corresponding four eigenwert memory blocks of buffer area.Eigenwert is not single data, is the data of a group reaction fan operation situation.The eigenwert zone is to leave in shared drive.ARM determines that according to eigenwert which deposit data is at the SD card, and which deposit data is at the USB hard disk, and which data sends to server.Deposit the SD card, and the data of USB hard disk all to deposit by database software, convenient after the inquiry of data.
As shown in Figure 4, data acquisition process program flow diagram.Actual in program is that a plurality of task parallelisms carry out.
1) data acquisition process, continual data acquisition in buffer memory.
2) data calculation procedure, utilize rule base to be calculated the data in buffer memory, calculates eigenwert.This process is carried out in two steps, for the first time the data of single cache is calculated, and draws this data cached characteristic of correspondence value.Because starting point and the end point of one piece of data are all fixed, it not many times the starting point that fan condition changes.The eigenwert of a buffer memory many times can not truly reflect the operation conditions of blower fan, in order to obtain the partial data of reflection fan condition, and need be to the data of this segment data front and the data analysis of back.So, when the eigenwert of certain segment data reflects some problems, need carry out analysis-by-synthesis calculating to three segment datas with this data segment center, again obtain an eigenwert.Data flow mainly contains two: one is detailed data, mainly exists in SD card or USB hard disk, and data volume is larger.Data in SD card or USB hard disk, as the short-term data storage medium, are deposited the detailed data in nearest January; Another is eigenwert and some other main data, also has alerting signal, sends to server.
3) interprocess communication, the transmission data of mentioning in process 2, separately independent as a process independently.Relation between each process, calculate because this terminal is Real-time Collection, and the operation of each process has strict time requirement.The time of process 2 operations is no more than in process 1, a needed time of buffer memory.Process 2 and process 1 some internal memory are shared.The time requirement of interprocess communication is not too strict, but independently storage space must be arranged.Provide data by process 2 for process 3.The real-time data acquisition handling procedure, also relate to program initialization, the functions such as terminal demonstration.Terminal also comprises local graphical display function.
Claims (10)
1. a wind power generating set intelligent condition monitoring terminal, be arranged on wind power generating set, and be connected with monitoring server by network, it is characterized in that, this intelligent condition monitoring terminal comprises:
Data acquisition module, press setpoint frequency and time image data, and carry out exporting after analog to digital conversion;
The data analysis computing module, be connected with data acquisition module, and the data analysis calculating to data collecting module collected, comprise FFT conversion, wavelet analysis and fault alarm analysis, and analysis result is exported;
Central processing module, be connected with the data analysis computing module, and the intelligent condition monitoring terminal is carried out to the Memory Allocation processing, and the analysis result of data analysis module output is transmitted and shows.
2. a kind of wind power generating set intelligent condition monitoring terminal according to claim 1, it is characterized in that, described data acquisition module comprises sensor group, signal sampling channel and FPGA, described sensor group is arranged on wind power generating set, and is connected with FPGA by signal sampling channel.
3. a kind of wind power generating set intelligent condition monitoring terminal according to claim 1, is characterized in that, described sensor group comprises low frequency type vibration acceleration sensor, universal vibration acceleration sensor and position transducer;
Described signal sampling channel comprises simulating signal parallel acquisition passage and serial acquisition passage.
4. a kind of wind power generating set intelligent condition monitoring terminal according to claim 2, is characterized in that, described data analysis computing module comprises the DSP kernel, and this DSP kernel is connected with FPGA.
5. a kind of wind power generating set intelligent condition monitoring terminal according to claim 4, is characterized in that, described central processing module comprises:
The ARM kernel, coordinate the communication of each interfaces, storage allocation, display data analysis result and realization and monitoring server;
Network interface card, be connected with the ARM kernel, for the network communication with monitoring server;
The RS485/RS232 communication interface, be connected with the ARM kernel, for external other data acquisition equipments;
The JTag interface, be connected with the ARM kernel, for downloading driving, system and application program;
The LCD touch-screen, be connected with the ARM kernel, for figure, shows and receive the operational order to terminal;
The USB1.0/2.0 interface, be connected with the ARM kernel, for external input equipment or plug-in 100G USB hard disk or expansion 3G communication module;
Storage card, be connected with the ARM kernel, for deposit the intermediate data of processing rear data or processing temporarily.
6. a kind of wind power generating set intelligent condition monitoring terminal according to claim 5, it is characterized in that, described ARM kernel carries out storage allocation and is specially: the ARM kernel takies 50% of total internal memory, the DSP kernel takies 25% of total internal memory, and the shared drive of ARM kernel and DSP kernel takies 25% of total internal memory.
7. a kind of wind power generating set intelligent condition monitoring terminal according to claim 5, it is characterized in that, the figure that described LCD touch-screen shows comprises trend waveform, spectrogram, orbit of shaft center, three-dimensional rotating speed order figure, Bode figure, speed diagram, heavy acquisition time waveform and polar coordinates figure.
8. a kind of wind power generating set intelligent condition monitoring terminal according to claim 5, is characterized in that, described network communication comprises real-time data communication and historical data communication.
9. the data processing method of a wind power generating set intelligent condition monitoring terminal as claimed in claim 5, is characterized in that, comprises the following steps:
1) FPGA passes through the real-time data collection of signal sampling channel receiving sensor group according to setpoint frequency, and data are carried out transferring data in the buffer memory of DSP kernel after analog to digital conversion;
2) the DSP kernel is preserved the data that receive and is carried out successively FFT conversion, wavelet analysis and eigenwert and extract, and obtains the data total characteristic;
3) the DSP kernel carries out the fault alarm analysis according to data total characteristic and Expert Rules storehouse, if there are abnormal conditions, report to the police and preserve the abnormity point front and back historical data of 10 minutes, and to ARM kernel output analysis result;
4) the ARM kernel is presented at analysis result in the LCD touch-screen, and by network interface card, analysis result and real-time data collection is transferred to monitoring central server.
10. the data processing method of a kind of wind power generating set intelligent condition monitoring terminal according to claim 9, it is characterized in that, when there are abnormal conditions in the operational process of DSP kernel examination wind power generating set and send warning, the DSP kernel carries out the storage of historical data.
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| CN109163919A (en) * | 2018-09-05 | 2019-01-08 | 中国科学院上海高等研究院 | A kind of mechanical movement fault monitoring system, method, readable storage medium storing program for executing and terminal |
| CN110503131A (en) * | 2019-07-22 | 2019-11-26 | 北京工业大学 | Wind-driven generator health monitoring systems based on big data analysis |
| CN110503131B (en) * | 2019-07-22 | 2023-10-10 | 北京工业大学 | Wind driven generator health monitoring system based on big data analysis |
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