SequoiaDB Applications for Energy Industry

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Background

Energy industry, as one of the world's major industrial industries, has a long history, but also for the enterprise and the country has brought huge benefits. Whether it is oil, electricity or gas, they have provided the basic most fundamental source of power for the operation of all walks of life and the people’s all work and life.

Since twenty-first Century, with the expansion of the global population, the pressure of the energy industry continues to increase. At the same time, people's awareness of the concept of environmental protection is also increasing, which forces the energy industry to develop in the direction of cleaner. In addition, with the globalization of economy, the energy industry is more and more closely linked with the world economy; the economic situation changes will also affect the development of the energy industry.

In the face of these new challenges, the energy industry is also facing a big transformation. Which, along with the rapid development of new computer, Internet technology and intelligent hardware devices, "Internet +" and "big data +" will become the important engine of the energy industry in transition.


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Big data needs of the energy industry

For large data areas, the main needs of the energy industry, including the following:

1) Fine management and energy saving: fine operation, is mainly through the application of today's sensors and intelligent hardware equipment, testing equipment more comprehensive throughout the production, transportation and use of links, follow up the whole system of any situation. Equipment and pipeline data collected, through intelligent data analysis, can change the extensive mode of production management, to achieve a more accurate and fine management, improve the production efficiency, so as to achieve energy saving.

2) Environmental pollution detection and analysis: environmental pollution detection and similar, through more timely detection facilities, can get more timely, more comprehensive environmental pollution data indicators. Through the real-time detection of these huge amounts of data, we can realize the immediate response to pollution. The analysis of massive historical data can help enterprises to improve the pollution of the whole system.

3) Rapid response to market changes: in addition to the production link in the market. Big data technology to help energy companies to analyze market trends, so that it can respond quickly to changes in the market, to make adjustments to production and operation.

4) Regarding the user as the core: better for users, is an important part of the energy industry from extensive business transformation. Through big data, we can know what the user needs the most, so as to summarize these needs to help energy companies continue to adjust.

Challenges of big data in the energy industry

1) Massive data storage: whether the enterprise production system or environmental pollution monitoring system, the shorter time interval of data collection and more sensors deployed in fine monitoring and management at the same time, will produce a large number of monitoring data. These massive data need a powerful large data platform for storage and management, as well as a large number of historical monitoring data need to be stored as a large data analysis.

2) Multiple types of data: for sensors and smart devices generate data, resulting in different environment of data can be said that the structure is not fixed, semi structured data will produce a large number of similar words, but also may produce many unstructured data. These data need to be unified storage, the need to support a large number of types of data storage structure.

3) The response performance of the data: in addition to the data can be stored, for these massive data, response performance is also an important requirement. Only realize high performance access call for system with high concurrency, to meet the rapid response system, real-time monitoring and early warning and management system for market changes.


SequoiaDB helps the transformation of energy industry

SequoiaDB database is a generation of distributed NewSQL database supporting for distributed SQL, high concurrency, real-time, distributed, scalable and flexible storage of a new. The fully distributed storage architecture, block storage mechanism and flexible object for storage and file, can perfectly solve several technical problems faced in the energy industry big data analysis and processing, high performance and distributed through the SQL engine can achieve data. Help enterprises to achieve energy transformation.

Cases of the energy industry


Power

A power company uses SequoiaDB as the database giant sequoia big data infrastructure of the smart meter system. The system of intelligent meter Power Company installed, through big data platform, which can monitor every household electricity and electric load with different levels of whole area, fault monitoring. At the same time through household electricity history data can be analyzed by habits for each user, which can predict the electricity consumption of buildings, residential and community to advance power supply to users ready.


Petrifaction

A Petrochemical Industries Co. uses Sequoia database to support a new generation of intelligent equipment testing system at its plants. The system monitors the use of production equipment in real time by deploying sensor information in each production process. Intelligent analysis of the equipment situation can be made according to the data analysis of the equipment for a period of time.

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SequoiaDB is a financial-level distributed database vendor and is the first Chinese database listed in Gartner’s Magic Quadrant OPDBMS report. SequoiaDB has recently released version 3.0.
SequoiaDB is now penetrating the vertical sector Financial Industry quickly and had more than 50 banking clients and hundreds of enterprise customers in industries including government, telecommunication, Internet and IoT.

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