CN111637023A - Big data cloud platform system for monitoring vibration of offshore wind turbine gear - Google Patents
Big data cloud platform system for monitoring vibration of offshore wind turbine gear Download PDFInfo
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- CN111637023A CN111637023A CN201910155904.4A CN201910155904A CN111637023A CN 111637023 A CN111637023 A CN 111637023A CN 201910155904 A CN201910155904 A CN 201910155904A CN 111637023 A CN111637023 A CN 111637023A
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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
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Abstract
The invention discloses a big data cloud platform system for monitoring gear vibration of an offshore wind driven generator, which comprises a vibration monitoring system, a data storage system and a data visualization system, wherein the vibration monitoring system finishes gear vibration data acquisition of the wind driven generator by using a sensor module, and finishes data transmission by using a wireless transmission module. The data storage system realizes the safe storage of data through the steps of signal conversion and the like by the signal conversion module and the data compression module. The data visualization system analyzes and excavates monitoring data through the data analysis module and the data excavation module, and after a monitoring result is obtained, the real-time early warning module carries out early warning on the health condition of the offshore wind driven generator gear. The method has the advantages that the cost of manually timing vibration monitoring to the position of the offshore wind driven generator is saved, real-time monitoring data of the gear vibration can be obtained at any time, the monitoring data is analyzed and deeply mined, and a monitoring result is formed to give real-time early warning to the health condition of the gear.
Description
Technical Field
The invention relates to the field of big data cloud platforms, in particular to a big data cloud platform system for monitoring gear vibration of an offshore wind turbine.
Technical Field
It is known that with the continuous development of the big data era, the production and living modes of the society are influenced by the increasingly deep digitalization of information, the monitoring of the offshore wind driven generator gear vibration still stays in the stage of manually and regularly acquiring data, and the monitored data cannot be obtained and processed in time. The method has the defects of time and labor consumption, inconvenience in marine traffic, data hysteresis and the like.
Therefore, the prior art still has the defects and needs to be developed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a big data cloud platform system for monitoring the gear vibration of an offshore wind turbine, and aims to solve the problem that the vibration monitoring data cannot be acquired in real time and analyzed and processed under the existing conditions.
The technical scheme of the invention is as follows:
the big data cloud platform system for monitoring the gear vibration of the offshore wind turbine comprises three modules, a vibration monitoring system, a data storage system and a data visualization system.
The offshore wind turbine gear vibration monitoring big data cloud platform system is realized by the following steps:
A. the vibration monitoring system utilizes the sensor module to complete the gear vibration data acquisition of the wind driven generator and completes the data transmission through the wireless transmission module;
B. the data storage system realizes the safe storage of the monitoring data through the steps of signal conversion, data cleaning, quick transmission, effective compression and the like;
C. the data visualization system analyzes and excavates the monitoring data to obtain a monitoring result, and the monitoring result is used for early warning the health condition of the offshore wind driven generator gear.
The offshore wind turbine gear vibration monitoring big data cloud platform system comprises the following components in a vibration monitoring system:
a sensor module: for monitoring gear vibration;
a battery module: the power supply is used for supplying power to the sensor module;
a wireless transmission module: for monitoring data transmission.
The offshore wind turbine gear vibration monitoring big data cloud platform system comprises the following components in a data storage system:
the signal conversion module: the monitoring data processing device is used for carrying out signal conversion on the monitoring data;
a data compression module: for efficient compression of monitoring data.
The offshore wind turbine gear vibration monitoring big data cloud platform system comprises the following components in a data visualization system:
a data analysis module: for analyzing the monitoring data;
a data mining module: deep mining for monitoring data;
the real-time early warning module: the gear early warning system is used for carrying out real-time early warning on the health condition of the gear.
Has the advantages that: the offshore wind turbine gear vibration monitoring big data cloud platform system has the advantages that labor cost is saved, real-time gear vibration monitoring data can be obtained at any time, the monitoring data are analyzed and deeply mined, monitoring results are formed, and real-time early warning is carried out on the health condition of the gear.
Drawings
The invention further discloses a big data cloud platform system for monitoring the gear vibration of an offshore wind turbine generator, which is disclosed by the invention, by combining the attached drawings and an embodiment:
FIG. 1 is a block flow diagram of a big data cloud platform system for monitoring gear vibration of an offshore wind turbine according to the present invention;
FIG. 2 is a flow chart of a vibration monitoring system of the offshore wind turbine gear vibration monitoring big data cloud platform system according to the invention;
FIG. 3 is a flow chart of a data storage system of the offshore wind turbine gear vibration monitoring big data cloud platform system according to the invention;
FIG. 4 is a flow chart of a data visualization system of the offshore wind turbine gear vibration monitoring big data cloud platform system.
Detailed Description
The invention aims to provide a big data cloud platform system for monitoring vibration of an offshore wind turbine gear, and aims to solve the problem that vibration monitoring data cannot be acquired in real time and analyzed and processed under the existing conditions. In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The offshore wind turbine gear vibration monitoring big data cloud platform system comprises three modules, a vibration monitoring system (1), a data storage system (2) and a data visualization system (3). The vibration monitoring system comprises a sensor module (11), a battery module (12) and a wireless transmission module (13); the data storage system comprises a signal conversion module (21) and a data compression module (22); the data visualization system comprises a data analysis module (31), a data mining module (32) and a real-time early warning module (33).
As shown in fig. 1-4, the method for monitoring the gear vibration of the offshore wind turbine on the big data cloud platform system is realized one by one through the following steps:
the vibration monitoring system (1) arranged at a designated position utilizes the sensor module (11) powered by the battery module (12) to complete the gear vibration data acquisition of the wind driven generator, and the data transmission is completed through the wireless transmission module (13). The data storage system (2) completes the steps of signal conversion, data cleaning, rapid transmission and the like through the signal conversion module (21) and the data compression module (22) to realize the safe storage of the monitoring data. The data visualization system (3) analyzes and excavates the monitoring data through the data analysis module (31) and the data mining module (32), and the real-time early warning module (33) performs early warning on the health condition of the offshore wind turbine gear after a monitoring result is obtained.
The offshore wind turbine gear vibration monitoring-based big data cloud platform system has the advantages that the cost of manually timing vibration monitoring to the position of the offshore wind turbine is saved, real-time monitoring data of gear vibration can be obtained at any time, the monitoring data is analyzed and deeply mined, and a monitoring result is formed to give real-time early warning to the health condition of the gear.
Claims (4)
1. Big data cloud platform system of offshore wind turbine gear vibration monitoring, including three module, vibration monitoring system (1), data storage system (2), data visualization system (3), characterized by, the method includes the following step:
A. the vibration monitoring system utilizes the sensor module to complete the gear vibration data acquisition of the wind driven generator and completes the data transmission through the wireless transmission module;
B. the data storage system realizes the safe storage of the monitoring data through the steps of signal conversion, data cleaning, quick transmission, effective compression and the like;
C. the data visualization system analyzes and excavates the monitoring data to obtain a monitoring result, and the monitoring result is used for early warning the health condition of the offshore wind driven generator gear.
2. The offshore wind turbine gear vibration monitoring big data cloud platform system of claim 1, wherein: the vibration monitoring system comprises a sensor module (11), a battery module (12) and a wireless transmission module (13):
a sensor module: for monitoring gear vibration;
a battery module: the power supply is used for supplying power to the sensor module;
a wireless transmission module: for monitoring data transmission.
3. The offshore wind turbine gear vibration monitoring big data cloud platform system of claim 1, wherein: the data storage system comprises a signal conversion module (21), a data compression module (22):
the signal conversion module: the monitoring data processing device is used for carrying out signal conversion on the monitoring data;
a data compression module: for efficient compression of monitoring data.
4. The offshore wind turbine gear vibration monitoring big data cloud platform system of claim 1, wherein: the data visualization system comprises a data analysis module (31), a data mining module (32) and a real-time early warning module (33):
a data analysis module: for analyzing the monitoring data;
a data mining module: deep mining for monitoring data;
the real-time early warning module: the gear early warning system is used for carrying out real-time early warning on the health condition of the gear.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910155904.4A CN111637023A (en) | 2019-03-01 | 2019-03-01 | Big data cloud platform system for monitoring vibration of offshore wind turbine gear |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910155904.4A CN111637023A (en) | 2019-03-01 | 2019-03-01 | Big data cloud platform system for monitoring vibration of offshore wind turbine gear |
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| Publication Number | Publication Date |
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| CN111637023A true CN111637023A (en) | 2020-09-08 |
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| CN201910155904.4A Pending CN111637023A (en) | 2019-03-01 | 2019-03-01 | Big data cloud platform system for monitoring vibration of offshore wind turbine gear |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113495517A (en) * | 2021-07-28 | 2021-10-12 | 云翔赛博(北京)数字信息科技有限公司 | Quick sensing and early warning method and system for screen plate falling of screening machine |
Citations (4)
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| CN102200186A (en) * | 2011-05-10 | 2011-09-28 | 大连理工大学 | Remote on-line state monitoring and fault diagnosis system of gear box of wind generating set |
| US20170074250A1 (en) * | 2014-11-18 | 2017-03-16 | Abb Schweiz Ag | Wind turbine condition monitoring method and system |
| CN108691733A (en) * | 2018-07-25 | 2018-10-23 | 深圳众厉电力科技有限公司 | Wind generating set vibration wireless monitor system |
| CN108999756A (en) * | 2018-09-19 | 2018-12-14 | 东莞方凡智能科技有限公司 | Wind generating set vibration abnormity early warning system |
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2019
- 2019-03-01 CN CN201910155904.4A patent/CN111637023A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102200186A (en) * | 2011-05-10 | 2011-09-28 | 大连理工大学 | Remote on-line state monitoring and fault diagnosis system of gear box of wind generating set |
| US20170074250A1 (en) * | 2014-11-18 | 2017-03-16 | Abb Schweiz Ag | Wind turbine condition monitoring method and system |
| CN108691733A (en) * | 2018-07-25 | 2018-10-23 | 深圳众厉电力科技有限公司 | Wind generating set vibration wireless monitor system |
| CN108999756A (en) * | 2018-09-19 | 2018-12-14 | 东莞方凡智能科技有限公司 | Wind generating set vibration abnormity early warning system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113495517A (en) * | 2021-07-28 | 2021-10-12 | 云翔赛博(北京)数字信息科技有限公司 | Quick sensing and early warning method and system for screen plate falling of screening machine |
| CN113495517B (en) * | 2021-07-28 | 2024-04-09 | 云翔赛博(山东)数字技术有限公司 | Quick sensing and early warning method and system for falling-off of screen plate of screening machine |
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Application publication date: 20200908 |