A big data analysis device and method based on distributed time series data service

A technology for time series data and data services, applied in data mining, relational databases, database models, etc., can solve problems such as functional integrity, operational stability limitations, etc., to achieve stable and reliable monitoring data, high timeliness, and reduce workload. Effect

Active Publication Date: 2019-11-12
SHANDONG LUNENG SOFTWARE TECH
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Problems solved by technology

[0006] Hadoop is a distributed system infrastructure, including several core parts such as distributed file system HDFS (Hadoop Distributed File System), distributed storage system HBase, parallel computing programming model MapReduce, etc., which can greatly simplify the processing of large-scale data. However, it has certain limitations in terms of functional integrity and operational stability, and some commercial big data platforms derived from Hadoop have deviations from the actual needs of power business scenarios. A big data analysis device based on distributed time series data service, which has far-reaching significance and strong utilization value

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  • A big data analysis device and method based on distributed time series data service

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Embodiment Construction

[0044] The concrete implementation of the present invention is described in detail below, it is necessary to point out here that the following implementation is only used for further description of the present invention, and can not be interpreted as limiting the protection scope of the present invention. Some non-essential improvements and adjustments still belong to the protection scope of the present invention.

[0045] The present invention provides a big data analysis device based on distributed time series data service, as attached figure 1 As shown, it includes a monitoring sensor 1, a monitoring data storage 2, an equipment data storage 3, a data integration unit 4, a time series data storage 5, a calculation unit 6, a wireless terminal 8 and a data service terminal 7, wherein the monitoring data storage 2 is connected to the monitoring sensor respectively 1 and the data integration unit 4, the data integration unit 4 is also respectively connected to the device data m...

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Abstract

A device for big data analysis based on a distributed time sequence data service comprises a monitoring sensor, a monitoring data storage, an equipment data storage, a data integration unit, a time sequence storage, a calculation unit, a wireless terminal and a data service terminal, can process numerous real-time data rapidly, efficiently and timely, and can ensure safe, stable and efficiency running of equipment.

Description

technical field [0001] The invention relates to the application field of equipment monitoring and analysis, in particular to a big data analysis device and method based on distributed time series data services. Background technique [0002] With the rapid development of computer technology, the data in various industries has grown rapidly, the amount of data has become larger and larger, the types have become more and more, and the data structure has become more complex. Traditional databases are not only placed independently for each device, but also require more The large deployment space has disadvantages such as difficult deployment and high cost, and cannot meet the general requirements of users. [0003] Time-series data is time-series data with time tags. Its typical characteristics are fast generation frequency, heavy dependence on collection time, and large amount of information from multiple measurement points. In the power industry, in order to ensure the safe, s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06G06F16/182G06F16/22G06F16/28
CPCG06F16/182G06F16/221G06F16/284G06F2216/03G06Q50/06
Inventor 丁书耕邢宏伟张俊岭丛兴滋杨立涛王震刘涛
Owner SHANDONG LUNENG SOFTWARE TECH
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