As an important part of the new infrastructure, industrial Internet has ushered in a period of rapid development. Today, in many industries such as electricity, manufacturing and mining, the industrial Internet is coming to the ground, giving birth to many new scenarios and business forms. The industrial Internet, through the connection of intelligent machines and ultimately human machine, combines software and big data analysis to restructure global industry and stimulate productivity. Behind all this is a single word: industrial data.
For the field of industrial Internet, a very obvious feature is the convergence of massive industrial data. As long as the machine is running, the data will be produced all the time. These data contain great value and have great exploitability. At the same time, one of the most obvious features of industrial data is its correlation with time. In general, typical features of industrial data include:
1, Fast production frequency: industrial data acquisition is basically second level, some high-frequency data acquisition is millisecond or microsecond level, each collection point can generate multiple data within one second.
2. Timeliness: It is heavily dependent on the collection time, and each piece of data is required to correspond to a unique time.
3. Large amount of data: many measurement points, large amount of information, relatively simple data structure; Conventional real-time monitoring systems have thousands of monitoring sites that generate data every second, or hundreds of gigabytes of data per day.
Industrial data is a new problem in IT, but not in industry for a long time. In the traditional field of industrial data acquisition and industrial monitoring, it is necessary to monitor the equipment connected to the network and analyze the sampled data, and there is also a special database for processing. This specialized database is called real-time database. The industrial real-time database has the main functions of data acquisition, real-time data cache, data write back, archiving of sampled data and so on. However, at present, the industrial real-time database is basically monopolized by foreign manufacturers, and the price is expensive, often millions of yuan a set, each data acquisition interface also needs another high fee, the total cost is unachievable. This is not only a matter of money, but also a matter of autonomy and controllable security. How can the data of China's industrial Internet be held in the hands of foreigners?
Fortunately, we have temporal databases.
Time series database is called time series database, which mainly refers to the processing of data with time label (changes in the order of time, that is, time serialization). Time series database is widely used in electric power, chemical industry, IT infrastructure, operation and maintenance monitoring system, Internet of Things and other types of real-time monitoring. It is mainly responsible for solving the following problems:
Timing data writing: How to support writing of tens of millions of data points per second.
Query of sequential data: how to support the grouping and aggregation of hundreds of millions of data at the second level.
Storage of time series data: To solve the cost sensitive problem caused by mass data storage.
Life cycle management of time series data: The value of industrial data is mainly reflected in timeliness. Therefore, life cycle management of industrial data is the core mission of time series database.
Therefore, in the era of industrial Internet, time series database can well replace the foreign real-time database, play a huge value. Shenzhen Institute of Digital Research - Polar Star timing database, perhaps is the best choice.
Polar Star Time Series Database is a pure domestic database, which has been serving the power industry for a long time and is widely used in China Southern Power Grid, Three Gorges Power Station and other famous power enterprises. It has ten years of application practice, products are repeatedly refined, simple and easy to use, and has mature processing and analysis ability for large-scale industrial real-time data. It adopts the current mainstream parallel computing technology and distributed architecture, which can handle real-time data , quasi-real-time data efficient compression and long-term history storage, and provide high-speed data services. If you have the intention, welcome to consult.
Shenzhen Institute of Digital Research - polar star timing database, help industrial Internet
Polar Star Time Series Database is a domestic database exclusively developed by Shenzhen Institute of Digital Research with fully independent intellectual property rights. The product has a number of real-time data processing patented technology, and through the China Electric Power Research Institute, Guangdong Electric Power Research Institute, China Saibao Laboratory and other authoritative institutions test and verification, excellent performance, leading in China.
The powerful performance of Polar Star Time series database is outstanding in China, and it is popular in the market. At present, it has been recognized and trusted by Fortune 500 enterprises such as China Southern Power Grid and Three Gorges Power Plant. The product can be applied to real-time data fusion, storage, analysis and release in more than 10 industries such as electric power, petrochemical, transportation, logistics and environmental protection.
