CN109611288A - A kind of wind-powered electricity generation operation platform based on big data - Google Patents
A kind of wind-powered electricity generation operation platform based on big data Download PDFInfo
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- CN109611288A CN109611288A CN201811631770.0A CN201811631770A CN109611288A CN 109611288 A CN109611288 A CN 109611288A CN 201811631770 A CN201811631770 A CN 201811631770A CN 109611288 A CN109611288 A CN 109611288A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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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)
- Power Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The present invention provides a kind of wind-powered electricity generation operation platform based on big data, it is characterized by: comprising: intelligent monitored control module, power module and software platform, power module includes 24V power module and UPS uninterruptible power supply, software platform is mounted on primary server, and software platform includes clustered control module, data reception module, display memory module, data-mining module, data analysis module, operation management module, data statistics module；The intelligent monitored control module includes sensor unit, intelligent data collecting unit, Ethernet switch, gateway, presence server；Presence server is equipped with on-site supervision software, including parameter setting module, data acquisition module, data processing module, data memory module, data transmission module.Fan monitor, failure predication, health control, maintenance program, spares reserve, personnel can be sent the information such as work to be realized under big data platform by the present invention, improve O&M efficiency, reduce O&M cost.
Description
Technical field
The present invention relates to a kind of wind-powered electricity generation operation and maintenance platform technology, the specifically platform is used for wind power generating set
O&M service technical field.
Background technique
The O&M of wind power generating set (abbreviation blower), is commonly divided into following several: 1, the inspection of daily point, inspection, by
One investigation；2, the CMS system (state installed additional according to blower SCADA system (data acquisition and supervisor control) or blower
Monitoring system) feedback warning message, targetedly check；3, the correction maintenance after fan trouble is seriously shut down.
The shortcomings that above-mentioned prior art one:
1) daily point inspection, inspection heavy workload, high to operation maintenance personnel skill requirement, there are security risks, and easily
Ignore potential failure；
2) blower SCADA system and CMS system after proposing alarm, need producer to assist to provide abort situation and failure is tight
Weight degree, or producer is needed to prepare personnel and equipment to site inspection, it be easy to cause unnecessary waiting time of machine halt；
3) correction maintenance after fan trouble is seriously shut down afterwards, is easy to appear serious accident, causes the secondary damage of equipment
Wound, economic loss are big.
Summary of the invention
The present invention provides a kind of wind-powered electricity generation operation platform based on big data, and the purpose is to solve the disadvantage that the prior art, energy
It is enough to send the information such as work under big data platform fan monitor, failure predication, health control, maintenance program, spares reserve, personnel
It realizes, reduces unnecessary artificial detection and waiting time of machine halt, avoid great equipment breakdown, guarantee unit and personnel's peace
Entirely, O&M efficiency is improved, O&M cost is reduced.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of wind-powered electricity generation operation platform based on big data, it is characterised in that: comprising: intelligent monitored control module, power module
And software platform, power module include 24V power module and UPS uninterruptible power supply, software platform is mounted on primary server, soft
Part platform includes clustered control module, data reception module, display memory module, data-mining module, data analysis module, fortune
Tie up management module, data statistics module；
The intelligent monitored control module includes sensor unit, intelligent data collecting unit, Ethernet switch, gateway, scene clothes
Business device, wherein sensor unit connects intelligent data collecting unit by shielded cable, and intelligent data collecting unit connects Ethernet switch,
Ethernet switch is connect with presence server；
Presence server is equipped with on-site supervision software, including parameter setting module, data acquisition module, data processing mould
Block, data memory module, data transmission module；
Presence server is based on by Interent network insertion primary server software platform, software platform framework
LabVIEW exploitation, each functional module driving of software desk Implementation.
The invention has the beneficial effects that:
Wind-powered electricity generation O&M service platform based on big data of the invention realizes fan condition monitoring, failure predication, health
Management, spares reserve, maintenance program, personnel send the on-line synchronous such as work, closed loop O&M service platform are constructed, by mass data
Deep excavation, improve fan condition monitoring intelligent level, reduce unnecessary artificial detection and waiting time of machine halt, keep away
Exempt from great equipment breakdown, guarantee unit and personnel safety, finally reduce power generation loss, improves generated energy.Wind-powered electricity generation O&M enterprise
Technical support, O&M service, the online interconnection of supply chain management, the multiple functions of customer relation management are realized on platform, greatly
The efficiency of operation for improving enterprise, reduces operation cost.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is platform hardware architecture diagram of the present invention；
Fig. 2 is on-site supervision architecture diagram of the present invention；
Fig. 3 is big data platform architecture diagram of the present invention.
Specific embodiment
In order to illustrate more clearly of technical solution of the present invention, attached drawing needed in description will be made below simple
Ground introduction, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ordinary skill
For personnel, without creative efforts, it can also be obtained according to these attached drawings other embodiments.
As shown in Figure 1:
The sensor unit of intelligent monitored control module includes multiple sensors and signal adapting device, and wherein more than one is vibrated
Acceleration transducer is fixed on blower transmission chain by magnetic support, acquires the vibration signal under real-time working condition；More than one Mike
Wind sensor is mounted on magnetic support, and magnetic support is fixed on from main shaft, gear-box, generator radial direction maximum distance apart, for acquiring wind
Machine transmission chain is under real-time working condition due to noise signal caused by vibrating；One rolling degree sensor is mounted on tower top i.e. cabin
On pedestal, the radial angular orientation of tower is measured；One tachometer is mounted on fixed bracket, is turned for measuring gear-box output
Speed；One signal adapting device is mounted in power control cabinet, wind velocity signal, power signal, the pressure letter of access blower fan system acquisition
Number, temperature signal.
Wind power generating set is existing wind power generating set, including entire blower fan system, blower transmission chain and cabin etc..
The above vibration acceleration sensor, microphone sensor, rolling degree sensor, tachometer, there are also in blower fan system
The sensors such as wind speed, power, pressure, temperature and its signal adapting device of connection are subordinated to sensor unit.
The signal adapting device of sensor unit connects intelligent data collecting unit by shielded cable, and intelligent data collecting unit passes through
Optical fiber ring network on blower connects Ethernet switch, and Ethernet switch is connect by local area network with presence server.
The presence server of each wind field is respectively arranged with on-site supervision software, passes through Interent network with cable connection gateway
Connect the software platform of primary server；
Power module includes 24V power module and UPS uninterruptible power supply.24V power module is to sensor unit and intelligence
Acquisition unit power supply, UPS uninterruptible power supply are powered to primary server and presence server.
It is as shown in Figure 2:
On-site supervision software includes parameter setting module, data acquisition module, data processing module, data memory module and
Data transmission module.
Parameter setting module defines acquisition parameter, and scalar period automatic Calibration sensor is arranged；It alarms for vibration signal
Such as kurtosis, total value, virtual value, envelope value are defined, and supports on-line amending, alarm limits are set for other signals；Sampling
Parameter setting includes sample frequency, sampling number, spectral line number etc.；Transmission chain parameter setting includes whole bearing designation, gear-box
The number of teeth at different levels, power generator electrode logarithm etc. are associated with tach signal automatic calculates bearing features frequency, gear-box meshing frequencies at different levels
And turn frequency, generator electric characteristic frequency etc.；Data acquisition module reads intelligence according to the acquisition parameter that parameter setting module defines
The data that energy acquisition unit uploads；Data processing module includes alarm parameters trend analysis, and time frequency analysis, Envelope Analysis etc. are basic
Signal processing function；The data that data memory module storage intelligent data collecting unit uploads on server, save as at the scene
The formats such as TXT, EXCEL, TDMS；Data transmission module synchronous pressure, which contracts, transmits the data of intelligent data collecting unit upload.
It is as shown in Figure 3:
It includes clustered control module, data reception module, display memory module, number on primary server that software platform, which is mounted on,
According to excavation module, data analysis module, operation management module, data statistics module.
Software platform framework is developed based on LabVIEW, each functional module driving of software desk Implementation.
The clustered control module remotely controls each wind field on-site supervision software, carries out the operation such as parameter setting, management point
With each wind field PORT COM, assigns operation and specify, receive response signal, trigger data receiving module；
The data reception module reads the set state number of on-site supervision software upload according to clustered control module instruction
According to and decompress, and provide open interface have access to other manufacturer softwares upload data, also can access business administration department
Unite such as ERP, CRM, SCM, has extremely strong compatibility；
The display memory module shows wind field distribution map, wind field unit distribution map, the function such as data statistic analysis chart
Can, and can data be carried out with high compression ratio processing, the set state data that storing data receiving module is read；
The data-mining module reads the initial data in data memory module, decompression post-processing.Including machine learning,
The many algorithms model such as pattern-recognition, regression analysis, expert system retrieves the useful information in mass data, enriches intelligence point
Analyse module intelligent functions.
The data analysis module includes alarm setting unit, data processing unit, intelligent diagnostics unit, can be read in real time
The initial data of on-site supervision software upload carries out Artificial Diagnosis, can also carry out secondary treatment to historical data.Wherein alarm is set
The alarm limits that unit is provided with each parameter are set, for vibration signal alarming value setting such as kurtosis, total value, virtual value, envelope value
Deng, and support on-line amending；Data processing unit mainly includes trend analysis, time frequency analysis, Envelope Analysis, Waterfall plot, order
A variety of data processing functions such as tracking, long-time waveform；Intelligent diagnostics unit is by alarming value triggering according to the failure being previously implanted
The fail message that mode and data-mining module upload carries out impact retrieval, frequency positioning, spectrum recognition, judges automatically failure
Position and fault severity level support artificial secondary-confirmation.
The operation management module includes wind field information management unit, operation maintenance personnel administrative unit, O&M scheme base, spare part
Warehouse；The wind field information management unit includes wind field essential information, operating states of the units, unit maintenance situation；The wind
Field operation maintenance personnel administrative unit includes personnel's essential information, skill matrix, real-time status；The O&M scheme base includes unit dimension
It repairs, replace the related information such as processing scheme and safety measure；The spares reserve library includes group's spares reserve and single
Wind field spares reserve and spare parts purchasing period；
The diagnostic result of data analysis module triggers operation management module, according to wind field operating states of the units, failure mode
It triggers O&M scheme base and corresponding O&M scheme is uploaded to wind field administrative staff's mailbox, while triggering operation maintenance personnel administrative unit
Short massage notice has current idle and the operation maintenance personnel preparation tool for having maintenance skills goes to wind field to overhaul, according to wind field unit
Inspecting state real-time update spares reserve library, it is ensured that spares reserve is reasonable, shorten procurement cycle.
The diagnostic result that the data statistics module reads intelligent analysis module generates report, reads in operation management module
Service information, generate wind field O&M report, unit failure be distributed report, high-incidence fault statistics report, bulk fault statistics
Report etc., report form include EXCEL, WORD, PDF etc..
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.To the upper of the disclosed embodiments
It states bright, enables those skilled in the art to implement or use the present invention.Various modifications to these embodiments are to ability
Will be apparent for the professional technician in domain, the general principles defined herein can not depart from it is of the invention
In the case where spirit or scope, realize in other embodiments.Therefore, the present invention be not intended to be limited to it is shown in this article these
Embodiment, and it is to fit to the widest scope consistent with the principles and novel features disclosed herein.
Claims (3)
1. a kind of wind-powered electricity generation operation platform based on big data, it is characterised in that: comprising: intelligent monitored control module, power module and
Software platform, power module include 24V power module and UPS uninterruptible power supply, and software platform is mounted on primary server, software
Platform includes clustered control module, data reception module, display memory module, data-mining module, data analysis module, O&M
Management module, data statistics module；
The intelligent monitored control module includes sensor unit, intelligent data collecting unit, Ethernet switch, gateway, presence server,
Wherein sensor unit connects intelligent data collecting unit by shielded cable, and intelligent data collecting unit connects Ethernet switch, ether
Network switch is connect with presence server；
Presence server is equipped with on-site supervision software, including parameter setting module, data acquisition module, data processing module, number
According to memory module, data transmission module；
Presence server is opened by Interent network insertion primary server software platform, software platform framework based on LabVIEW
Hair, each functional module driving of software desk Implementation.
2. a kind of wind-powered electricity generation operation platform based on big data as described in claim 1, it is characterised in that:
Parameter setting module defines acquisition parameter, and scalar period automatic Calibration sensor is arranged；It alarms and defines for vibration signal
Kurtosis, total value, virtual value, envelope value carry out on-line amending, and alarm limits are arranged for other signals；
Data acquisition module reads the data that intelligent data collecting unit uploads according to the acquisition parameter that parameter setting module defines；
Data processing module includes alarm parameters trend analysis, time frequency analysis, Envelope Analysis；
The data that data memory module storage intelligent data collecting unit uploads on server, save as TXT, EXCEL, TDMS at the scene
Format；
Data transmission module synchronous pressure, which contracts, transmits the data of intelligent data collecting unit upload.
3. a kind of wind-powered electricity generation operation platform based on big data as described in claim 1, it is characterised in that:
The clustered control module remotely controls each wind field on-site supervision software, carries out parameter setting operation, and management distributes each wind
Field PORT COM is assigned operation and is specified, receives response signal, trigger data receiving module；
The data reception module reads the set state data of on-site supervision software upload simultaneously according to clustered control module instruction
Decompression, and the data that open interface has access to the upload of other manufacturer softwares are provided, also it can access enterprise management system such as
ERP,CRM,SCM；
The display memory module, display wind field distribution map, wind field unit distribution map, data statistic analysis chart function, and it is right
Data carry out high compression ratio processing, the set state data that storing data receiving module is read；
The data-mining module reads the initial data in data memory module, decompression post-processing；Including machine learning, mode
Identification, regression analysis, expert system algorithm model retrieve the useful information in mass data；
The data analysis module includes alarm setting unit, data processing unit, intelligent diagnostics unit, can read scene in real time
The initial data that monitoring software uploads carries out Artificial Diagnosis, can also carry out secondary treatment to historical data；
Wherein alarm setting unit be provided with each parameter alarm limits, for vibration signal alarming value setting as kurtosis, total value,
Virtual value, envelope value, and support on-line amending；
Data processing unit includes trend analysis, time frequency analysis, Envelope Analysis, Waterfall plot, order tracking technique, long-time waveform；Intelligence
The fail message that energy diagnosis unit is uploaded by alarming value triggering according to the failure mode and data-mining module being previously implanted, carries out
Impact retrieval, frequency positioning, spectrum recognition, judge automatically trouble location and fault severity level, support artificial secondary-confirmation；
The operation management module includes wind field information management unit, operation maintenance personnel administrative unit, O&M scheme base, spares reserve
Library；The wind field information management unit includes wind field essential information, operating states of the units, unit maintenance situation；
The wind field operation maintenance personnel administrative unit includes personnel's essential information, skill matrix, real-time status；
The O&M scheme base includes unit maintenance, replaces related processing scheme and safety measure information；The spare part storage
Standby library includes group's spares reserve and single wind field spares reserve and spare parts purchasing period；
The diagnostic result of data analysis module triggers operation management module, is triggered according to wind field operating states of the units, failure mode
Corresponding O&M scheme is uploaded to wind field administrative staff's mailbox by O&M scheme base, while triggering operation maintenance personnel administrative unit short message
Notice has current idle and the operation maintenance personnel preparation tool for having maintenance skills goes to wind field to overhaul, according to the inspection of wind field unit
Repair state real-time update spares reserve library；
The diagnostic result that the data statistics module reads intelligent analysis module generates report, reads the inspection in operation management module
It repairs information, generates wind field O&M report, unit failure is distributed report, high-incidence fault statistics report, bulk fault statistics report,
Report form includes EXCEL, WORD, PDF.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110173399A (en) * | 2019-06-06 | 2019-08-27 | 上海电力学院 | A kind of offshore wind turbine bolt looseness detection system and method |
| CN110469462A (en) * | 2019-08-21 | 2019-11-19 | 北京天泽智云科技有限公司 | A kind of Wind turbines intelligent condition monitoring system based on multi-template |
| CN111322206A (en) * | 2020-02-28 | 2020-06-23 | 唐智科技湖南发展有限公司 | Intelligent operation and maintenance system and method for large mechanical part of wind turbine generator |
| CN111478979A (en) * | 2020-05-26 | 2020-07-31 | 国电联合动力技术有限公司 | Reliable wind power data acquisition method and system |
| CN111878322A (en) * | 2020-08-03 | 2020-11-03 | 广东工业大学 | Wind power generator device |
| CN112529365A (en) * | 2020-11-19 | 2021-03-19 | 华电电力科学研究院有限公司 | Wind power generation company spare part reserve volume analysis and management equipment and method |
| CN112594142A (en) * | 2020-11-23 | 2021-04-02 | 东方电气集团科学技术研究院有限公司 | Terminal cloud collaborative wind power operation and maintenance diagnosis system based on 5G |
| CN113482863A (en) * | 2021-07-16 | 2021-10-08 | 南京安维士传动技术股份有限公司 | State evaluation and health management system of wind generating set |
| CN114137925A (en) * | 2020-04-24 | 2022-03-04 | 山东省邱集煤矿有限公司 | Intelligent management system for coal mine production safety |
| CN114323642A (en) * | 2020-09-29 | 2022-04-12 | 北京金风慧能技术有限公司 | Wind turbine generator vibration data processing system and data dilution method |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621971A (en) * | 2012-04-17 | 2012-08-01 | 上海探能实业有限公司 | Sharing maintenance system ensuring normal operation of wind turbines and realization method thereof |
| CN106471247A (en) * | 2014-06-24 | 2017-03-01 | Ntn株式会社 | Condition monitoring system and the wind generator system using this system |
| US20170074250A1 (en) * | 2014-11-18 | 2017-03-16 | Abb Schweiz Ag | Wind turbine condition monitoring method and system |
| CN108252873A (en) * | 2017-05-18 | 2018-07-06 | 北京铭峰科技有限公司 | A kind of wind power generating set online data monitoring and its system of Performance Evaluation |
-
2018
- 2018-12-29 CN CN201811631770.0A patent/CN109611288B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621971A (en) * | 2012-04-17 | 2012-08-01 | 上海探能实业有限公司 | Sharing maintenance system ensuring normal operation of wind turbines and realization method thereof |
| CN106471247A (en) * | 2014-06-24 | 2017-03-01 | Ntn株式会社 | Condition monitoring system and the wind generator system using this system |
| US20170074250A1 (en) * | 2014-11-18 | 2017-03-16 | Abb Schweiz Ag | Wind turbine condition monitoring method and system |
| CN108252873A (en) * | 2017-05-18 | 2018-07-06 | 北京铭峰科技有限公司 | A kind of wind power generating set online data monitoring and its system of Performance Evaluation |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110173399A (en) * | 2019-06-06 | 2019-08-27 | 上海电力学院 | A kind of offshore wind turbine bolt looseness detection system and method |
| CN110469462A (en) * | 2019-08-21 | 2019-11-19 | 北京天泽智云科技有限公司 | A kind of Wind turbines intelligent condition monitoring system based on multi-template |
| CN111322206B (en) * | 2020-02-28 | 2021-05-04 | 唐智科技湖南发展有限公司 | Intelligent operation and maintenance system and method for large mechanical part of wind turbine generator |
| CN111322206A (en) * | 2020-02-28 | 2020-06-23 | 唐智科技湖南发展有限公司 | Intelligent operation and maintenance system and method for large mechanical part of wind turbine generator |
| CN114137925B (en) * | 2020-04-24 | 2024-04-02 | 山东省邱集煤矿有限公司 | Intelligent management system for coal mine production safety |
| CN114137925A (en) * | 2020-04-24 | 2022-03-04 | 山东省邱集煤矿有限公司 | Intelligent management system for coal mine production safety |
| CN111478979A (en) * | 2020-05-26 | 2020-07-31 | 国电联合动力技术有限公司 | Reliable wind power data acquisition method and system |
| CN111878322A (en) * | 2020-08-03 | 2020-11-03 | 广东工业大学 | Wind power generator device |
| CN114323642A (en) * | 2020-09-29 | 2022-04-12 | 北京金风慧能技术有限公司 | Wind turbine generator vibration data processing system and data dilution method |
| CN112529365A (en) * | 2020-11-19 | 2021-03-19 | 华电电力科学研究院有限公司 | Wind power generation company spare part reserve volume analysis and management equipment and method |
| CN112529365B (en) * | 2020-11-19 | 2023-08-18 | 华电电力科学研究院有限公司 | Wind power generation company spare part reserve analysis management device and method |
| CN112594142A (en) * | 2020-11-23 | 2021-04-02 | 东方电气集团科学技术研究院有限公司 | Terminal cloud collaborative wind power operation and maintenance diagnosis system based on 5G |
| CN113482863A (en) * | 2021-07-16 | 2021-10-08 | 南京安维士传动技术股份有限公司 | State evaluation and health management system of wind generating set |
| CN113482863B (en) * | 2021-07-16 | 2022-07-01 | 南京安维士传动技术股份有限公司 | State evaluation and health management system of wind generating set |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
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