Smart grid WAMS-based time-series big data storage method

A big data storage and smart grid technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of high data generation frequency and large scale, reduce disk I/O, reduce storage, and improve The effect of data query efficiency

Inactive Publication Date: 2016-05-11
CHINA REALTIME DATABASE
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Problems solved by technology

[0004] The purpose of the present invention is to: aim at the characteristics of smart grid WAMS time series data, provide a time series big data fast loading query and highly reliable storage method that can meet the needs of smart grid WAMS scenarios, and solve the problem of large scale of smart grid WAMS measurement nodes. The problem of high-speed loading of time-series data with high frequency generates a basis for fast query of cross-sectional data in the time dimension (multiple measurement nodes, data collection at one time)

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Embodiment Construction

[0019] The present invention will be further described in detail below in conjunction with the embodiments and with reference to the accompanying drawings.

[0020] The steps of the present invention are as follows:

[0021] 1) Establish the corresponding key-value (K-V, Key-Value) storage model as the data model according to the WAMS scenario. figure 1 A schematic diagram of the K-V storage model is given. The meanings of the symbols are: timestamp, the timestamp of the storage unit, with an accuracy of second level; id, the id of the measuring point (the unique identifier of the measurement); status, the data quality code array of the storage unit; valueItem, the data value array of the storage unit ; unitLength, storage unit length. It can be seen from the figure that the key structure in the K-V storage model is , and the value structure is .

[0022] Among them, the sorting method of the model key: 1) the timestamp is prioritized, followed by the measuring point id; 2)...

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Abstract

The invention discloses a smart grid WAMS-based time-series big data storage method, and belongs to the technical field of real-time databases. According to the method, a corresponding key-value storage model is built as a data model according to a WAMS scene; a storage unit is created for each measure point per second; the length of the storage unit is set according to the sampling frequency of WAMS data; a data mid-value is compressed by a write-ahead logging technology in a data loading process while the key is kept invariable; and database division is carried out on the data according to the loaded data scale and the loading frequency. The smart grid WAMS-based time-series big data storage method can meet rapid loading and querying requirements of the time-series big data of a smart grid WAMS scene and has very high reliability.

Description

technical field [0001] The invention belongs to the technical field of real-time databases, and mainly relates to a time-series big data storage method of smart grid WAMS. Background technique [0002] With the continuous development of smart grid technology, "Wide Area Measurement System (WAMS)", which is an important support of smart grid, has become a current research hotspot. The power grid wide-area monitoring system realizes the dynamic monitoring and control of the whole network through the synchrophasor measurement unit (PhasorMeasurementUnit, PMU) arranged at the key nodes of the whole network. [0003] At present, the smart grid WAMS mainly has the following characteristics: (1) The number of monitoring nodes deployed in the entire network is increasing; (2) The real-time requirements of monitoring node data are high, and the data generation cycle is tens of milliseconds; (3) ) has high requirements for the stability of the system; (4) the scale of historical time...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2219
Inventor 王远蒋英明郑晓露周淳粟勇史英杰袁军吴鹏陈亮陈立宇朱月梅
Owner CHINA REALTIME DATABASE
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