An Offshore Wind Energy Evaluation System Based on Distributed Analysis Engine

Abstract

The present invention provides a kind of offshore wind energy assessment system based on distributed analysis engine, and comprises: file analysis unit, it comprises analysis cloud service and a plurality of resolvers, analysis cloud service is used for monitoring the update file of offshore meteorological file, will wait The parsed update file is included in the parsing task list, and the parsing task is assigned to the parser; multiple parsers are respectively deployed on one or more servers, and each parser is used to receive and automatically parse the parsing task assigned by the parsing cloud service, and storing the updated updated file after analysis; and a wind energy evaluation unit for performing offshore wind energy evaluation based on the stored marine meteorological file. The beneficial effects of the present invention are: the offshore wind energy evaluation system based on the distributed analysis engine can automatically form analysis tasks and call distributed analysis components through real-time monitoring of meteorological file data sources, so as to achieve high-timeliness and high-quality storage of files, and then Efficient and accurate assessment of wind energy resources.

Description

technical field [0001] The invention belongs to an offshore wind energy evaluation system based on a distributed analysis engine. Background technique [0002] Meteorological data transmission system is a relatively complex application system, which is mainly reflected in the short-term generation of a large number of data files. There are many formats of data files. The system needs to analyze the data files of so many formats to obtain the data. In the construction of meteorological industry system data is very important, and development technicians need to write different analysis programs according to various messages to complete the file storage work. [0003] The traditional analysis program has not formed a unified and standardized tool, and there are mainly defects in the following aspects: [0004] 1) The adaptability is not strong. After the message format is modified, it may not be used, and the code needs to be re-modified; [0005] 2) The fault tolerance is no...

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Problems solved by technology

[0004] 1) The adaptability is not strong. After the message format is modified, it may not be used, and the code needs to be re-modified;

[0005] 2) The fault tolerance is not strong, the original data may have wrong data, data filtering is required, the fault tolerance of the program is not strong, and the analysis program is easy to crash;

[0006] 3) The storage time is not enough, a large amount of meteorological data cannot be quickly and accurately stored in a short period of time, and cannot meet the growing business timeliness requirements;

[0007] 4) Insufficient scalability and various message formats. When encountering a new format message, it cannot be configured to realize the parsing task, and the parser needs to be revised and developed;

[0008] 5) The monitoring is not intuitive, and it is impossible to monitor the task queue, parser status, parse storage results and other information

[0011] 1. The height of the observation station is only 10 meters, and the change of near-surface wind speed with height depends on the local topography, surface conditions and atmospheric stability, so it is impossible to accurately calculate the wind energy resources at each altitude in the offshore area;

[0012] 2. The observation stations are mainly distributed inland, and the coastal areas are rarely distributed. The inland wind speed is generally small, which has a certain impact on the assessment of offshore wind resources

[0013] The wind energy assessment based on the data of the wind measuring tower has the following problems: the time of the wind measuring towers in operation in China is not uniform and the observation sequence is short, so it has a certain impact on the accuracy of the wind energy assessment

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