CN109681392A - A kind of wind power generating set condition monitoring system - Google Patents

A kind of wind power generating set condition monitoring system Download PDF

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Publication number
CN109681392A
CN109681392A CN201811603269.3A CN201811603269A CN109681392A CN 109681392 A CN109681392 A CN 109681392A CN 201811603269 A CN201811603269 A CN 201811603269A CN 109681392 A CN109681392 A CN 109681392A
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CN
China
Prior art keywords
oil liquid
module
generating set
wind power
power generating
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CN201811603269.3A
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Chinese (zh)
Inventor
管玲
夏俊雄
董超
赵双喜
刘博�
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TIANJIN RUIYUAN ELECTRICAL CO Ltd
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TIANJIN RUIYUAN ELECTRICAL CO Ltd
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Priority to CN201811603269.3A priority Critical patent/CN109681392A/en
Publication of CN109681392A publication Critical patent/CN109681392A/en
Pending legal-status Critical Current

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)

Abstract

The invention discloses a kind of wind power generating set condition monitoring systems, including oil liquid monitoring module, electric power monitoring module, vibration signal monitoring modular, wireless communication module and main processing block;Oil liquid monitoring module passes through dynamic viscosity, oil liquid density, oil liquid dielectric constant and the oil liquid temperature data that the oil liquid sensor being attached thereto obtains oil liquid;Electric power monitoring module is used to acquire three-phase voltage, electric current, power, frequency, phase sequence and the power factor of pitch-controlled system end of incoming cables, main processing block carries (SuSE) Linux OS kernel, the testing result of collection and setting value are done into threshold value comparison, statistical analysis, logic judgment, control output discrete control signal are made in conjunction with actual application environment;The wind power generating set condition monitoring system integrates digital quantity input/output module, Analog input mModule, PT100 temperature detecting module, oil liquid detection module, three-phase power monitoring modular and vibration frequency specturm analysis module, comprehensive each component system status of monitoring wind power generating set.

Description

A kind of wind power generating set condition monitoring system
Technical field
The present invention relates to technical field of wind power generation, in particular to a kind of wind power generating set condition monitoring system.
Background technique
Current wind power field, wind power generating set often operate in the extremely severe remote area of environmental condition, and Due to wind power generating set system structure complicated composition, system unit often occurs damaging and operating status is abnormal, by artificial prison It is often complicated for operation to survey inspection, O&M low efficiency, input cost is high and is unable to reach complete long-range real-time process monitoring comprehensively, Simultaneously because wind power generating set design power is increasing, system structure and design of hardware and software are more complicated in unit, such as What dispersion master control system workload, realizes the local intelligentization detection of each component, and data upload distal end real time monitoring and backstage Big data analysis is current wind power field urgent problem to be solved.
Summary of the invention
The object of the present invention is to provide a kind of wind power generating set condition monitoring systems.
For this purpose, technical solution of the present invention is as follows:
A kind of wind power generating set condition monitoring system, including oil liquid monitoring module, electric power monitoring module, vibration signal prison Survey module, wireless communication module and main processing block;
Oil liquid monitoring module passes through dynamic viscosity, the oil liquid density, oil liquid that the oil liquid sensor being attached thereto obtains oil liquid Dielectric constant and oil liquid temperature data, and data exchange is carried out with main processing block;
Electric power monitoring module is used to acquire three-phase voltage, electric current, power, frequency, phase sequence and the function of pitch-controlled system end of incoming cables Rate factor does spectrum analysis to primary voltage current value, is calculated three-phase voltage current total harmonic distortion, percent harmonic distortion and 3~15 subharmonic contents, and data exchange is carried out with main processing block;
Vibration signal monitoring modular is used to acquire the vibration frequency of the high speed shaft of gear-box, slow-speed shaft and cabinet, using fast The rumble spectrum of each component is calculated in fast Fourier transformation;
Main processing block carries (SuSE) Linux OS kernel, and the testing result of collection and setting value are done threshold value comparison, united Meter analysis makes logic judgment in conjunction with actual application environment, and control exports discrete control signal, while according to the practical need of user It asks and testing result is selectively locally stored, and uploaded by the wireless communication module based on MQTT Internet of Things communication protocol Data are to big data platform.
Further, further include the digital quantity input/output module being connect with main processing block, Analog input mModule and PT100 temperature detecting module, for detect box bearing driving end temperature, cooler front and back end oil circuit temperature, oil sump temperature, Oil pressure and oil level data.
Further, the vibration frequency monitoring modular is from the data processing that samples of initial data, spectrum analysis Process uses dynamic memory management mechanism, reasonable distribution software systems memory service condition.
Further, the vibration signal monitoring modular carries out the rotational frequency of each shaft in high slow-speed shaft and cabinet When sampling, using 2.56 times of rotational frequency as sample frequency.
Further, the wireless communication module is 4G wireless communication module.
Compared with prior art, which has the advantage that
1, collection digital quantity input/output module, Analog input mModule, PT100 temperature detecting module, oil liquid detection module, Three-phase power monitoring modular and vibration frequency specturm analysis module are in one, comprehensive each component system shape of monitoring wind power generating set State, local analytics, autonomous control realize the local intelligent of wind power generating set system unit;
2, using the 4G wireless communication mechanism based on MQTT Internet of Things transport protocol, MQTT agreement open source, it is reliable, light and handy, Simply, have communication overhead small, low-power consumption, the characteristic strong to unstable networks degree tolerance is disliked system in condition and omited, net It is capable of providing relatively reliable network service in the low bandwidth such as the wind field of network signal difference and unstable network environment, takes simultaneously The double data protection mechanism with 4G wireless communication teletransmission is locally stored in detection data, and it is poor in wind field network condition to further ensure that In the case where save complete real time data;
3, it is based on 4G wireless communication function, the storage of big data background data base and interface real time data exhibition can be remotely accessed Show, can remotely realize monitoring and the background analysis to field data.
Detailed description of the invention
Fig. 1 is the structural block diagram of wind power generating set condition monitoring system provided by the invention.
Specific embodiment
With reference to the accompanying drawing and specific embodiment the present invention is described further, but following embodiments are absolutely not to this hair It is bright to have any restrictions.
A kind of wind power generating set condition monitoring system, as shown in Figure 1, include oil liquid monitoring module, electric power monitoring module, Vibration signal monitoring modular, wireless communication module and main processing block;
Oil liquid monitoring module passes through dynamic viscosity, the oil liquid density, oil liquid that the oil liquid sensor being attached thereto obtains oil liquid Dielectric constant and oil liquid temperature data, and data exchange is carried out with main processing block;
Temperature thermometer nomogram and Walds equation ASTM are glued according to national standard GB/T 8023-1987 liquid petroleum product D341-9 obtains viscous kelvin relation formula:
LOG (LOG (V+0.7))=A-B*LOG (T+273.15)
V is kinematic viscosity in above formula, and T is temperature, and A, B are parameter relevant to the state of current oil;
In order to avoid participating in the two groups of data calculated relatively, therefore judge when temperature culture is more than ± 2 DEG C, and transport Kinetic viscosity meets that temperature is higher, and viscosity is lower, and temperature is lower, when viscosity is higher, is once calculated, is calculated under current state 40 DEG C when kinematic viscosity.
By acquiring two groups of different data V1, T1 and V2, T2, brings two groups of data into equation and coefficient A is calculated And B.Equation can be brought into for T=40 DEG C after A and B by obtaining, calculate the kinematic viscosity V42 of 40 DEG C of gear oil, then with tooth Wheel oil standard in the case of 40 DEG C when kinematic viscosity V41 compare, change rate D is calculated:
D=(V42-V41)/V41*100%
Initial relevant parameter and work in conjunction with the kinematic viscosity change rate and dielectric constant of oil liquid, when being not used referring to oil liquid The oily standard etc. of changing oil of industry does different degrees of oil state early warning analysis, and carries out exchanging for data with host processing system;
Electric power monitoring module is used to acquire three-phase voltage, electric current, power, frequency, phase sequence and the function of pitch-controlled system end of incoming cables Rate factor does spectrum analysis to primary voltage current value, is calculated three-phase voltage current total harmonic distortion, percent harmonic distortion and 3~15 subharmonic contents, and data exchange is carried out with main processing block;It is local to save data and be uploaded to big data platform, it can Cause pitch-controlled system failure since pitch-controlled system primary voltage fluctuates for analyzing, the problems such as device failure;
Vibration signal monitoring modular is used to acquire the vibration frequency of the high speed shaft of gear-box, slow-speed shaft and cabinet, using fast The rumble spectrum of each component is calculated in fast Fourier transformation;The vibration signal monitoring modular to high speed shaft, slow-speed shaft and When the rotational frequency of each shaft is sampled in cabinet, using 2.56 times of rotational frequency as sample frequency;It is differentiated according to minimum Rate is equal to the ratio of sample frequency and sampling number, in the case where the minimum resolution for meeting different frequency range spectrum analysis requires, high speed Axis, slow-speed shaft and cabinet choose suitable sampling number, as far as possible compression sampling data volume respectively, do to the time-domain signal of acquisition Fast Fourier Transform (FFT) obtains the frequency-domain result of vibration signal, and time domain and frequency-domain result sequence are uploaded to host processing system.Its In, from the data processing that samples of initial data, the process of spectrum analysis, using dynamic memory management mechanism, reasonable distribution is soft Part Installed System Memory service condition improves resource utilization;
Main processing block carries (SuSE) Linux OS kernel, and the testing result of collection and setting value are done threshold value comparison, united Meter analysis makes logic judgment in conjunction with actual application environment, and control exports discrete control signal, while according to the practical need of user It asks and testing result is selectively locally stored, and uploaded by the wireless communication module based on MQTT Internet of Things communication protocol Data are to big data platform.
It further include the digital quantity input/output module being connect with main processing block, Analog input mModule and PT100 temperature Detection module, for detecting box bearing driving end temperature, cooler front and back end oil circuit temperature, oil sump temperature, oil pressure and oil Position data;Digital output control heater, fan and oil pump movement can be made in conjunction with the setting of specific threshold value and logic judgment, is protected Demonstrate,prove the operation of gear-box internal environment Parameter Stationary;
The wireless communication module is 4G wireless communication module, can remotely access the storage of big data background data base and boundary Face real time data is shown, can remotely realize monitoring and the background analysis to field data.
This example, which demonstrates the present invention, can be used in solving the problems, such as the status monitoring of wind power generating set system unit, realize Comprehensive each component system status of monitoring wind power generating set, local analytics and upload data background analysis at autonomous control Function realizes the local intelligent of wind power generating set system unit;
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, it is all Local change, equivalent variations or modification are made using the technology contents of the disclosure above within the spirit and principles in the present invention, Within protection scope of the present invention.

Claims (5)

1. a kind of wind power generating set condition monitoring system, which is characterized in that including oil liquid monitoring module, electric power monitoring module, Vibration signal monitoring modular, wireless communication module and main processing block;
Oil liquid monitoring module passes through dynamic viscosity, oil liquid density, the oil liquid dielectric that the oil liquid sensor being attached thereto obtains oil liquid Constant and oil liquid temperature data, and data exchange is carried out with main processing block;
Electric power monitoring module be used to acquire three-phase voltage, electric current, power, frequency, phase sequence and the power of pitch-controlled system end of incoming cables because Number, does spectrum analysis to primary voltage current value, is calculated three-phase voltage current total harmonic distortion, and percent harmonic distortion and 3~ 15 subharmonic contents, and data exchange is carried out with main processing block;
Vibration signal monitoring modular is used to acquire the vibration frequency of the high speed shaft of gear-box, slow-speed shaft and cabinet, utilizes quick Fu In leaf transformation the rumble spectrum of each component is calculated;
Main processing block carries (SuSE) Linux OS kernel, and the testing result of collection and setting value are done threshold value comparison, statistical Analysis is made logic judgment, control output discrete control signal in conjunction with actual application environment, while being had according to user's actual need Testing result is locally stored in selectivity, and uploads data by the wireless communication module based on MQTT Internet of Things communication protocol To big data platform.
2. wind power generating set condition monitoring system according to claim 1, which is characterized in that further include and main process task mould Digital quantity input/output module, Analog input mModule and the PT100 temperature detecting module of block connection, for detecting gearbox shaft Hold driving end temperature, cooler front and back end oil circuit temperature, oil sump temperature, oil pressure and oil level data.
3. wind power generating set condition monitoring system according to claim 2, which is characterized in that the vibration frequency prison Sample data processing of the module from initial data is surveyed, the process of spectrum analysis uses dynamic memory management mechanism, reasonable distribution Software systems memory service condition.
4. wind power generating set condition monitoring system according to claim 3, which is characterized in that the vibration signal prison When survey module samples the rotational frequency of each shaft in high speed shaft, slow-speed shaft and cabinet, with 2.56 times of works of rotational frequency For sample frequency.
5. wind power generating set condition monitoring system according to claim 4, which is characterized in that the radio communication mold Block is 4G wireless communication module.
CN201811603269.3A 2018-12-26 2018-12-26 A kind of wind power generating set condition monitoring system Pending CN109681392A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113464362A (en) * 2020-03-30 2021-10-01 北京金风科创风电设备有限公司 Wind generating set operation control method and device and variable pitch controller

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CN201953564U (en) * 2011-02-24 2011-08-31 华锐风电科技(集团)股份有限公司 Brake system of high-power wind turbine unit
CN104965464A (en) * 2015-07-08 2015-10-07 福建唐力电力设备有限公司 Marine machinery and port machinery smart system and implementation method
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Application publication date: 20190426