Use shared and reusable data management tools for data governance to form a unified data standard, and combine visualization tools to improve data quality and data management effects.
Strengthen the integration of data and artificial intelligence, use data mining, AI prediction and other algorithm models, strengthen the whole life cycle management of data, feed back AI algorithm models, and shorten the data development cycle.
By building a common data service and visualizing it, the reusability of data assets and services is improved and the development cost is reduced.
Through data governance to form available data assets, reduce the difficulty of data development, cover the full application scenarios of data processing, and provide services for upper-level applications.
Through the data security module, the sensitive level of data is set, and data encryption, desensitization and other functions are used to improve the data security of enterprises.
Support OPC UA, Modbus and other industrial protocols to collect equipment and sensor data.
Graphical ETL tool supports data cleaning, conversion, quality inspection and other processing.
Distributed storage engine supports structured, timing, pictures and other data types.
Built-in machine learning algorithm library supports industrial big data mining and predictive analysis.
Rich industrial scene chart components, support Web / App / large-screen multi-terminal display.
Data engineers use preset AI algorithms to connect big data and AI in global data with simple and familiar tools / languages, reducing data and model development costs and shortening development cycles.
Through our data center, 18 production systems are integrated, covering more than 10,000 data acquisition points, and a whole process data monitoring system is established, and the production efficiency is improved by 12 %.
Using our data platform, we analyze the performance data of wind turbines, inverters and other equipment, and establish a health model, which can warn equipment failure 15 days in advance, and the availability rate is increased by 0.5 %.
Using our data center to build a distribution network operation status monitoring system, integrating substation, distribution line, user and other data, the fault outage time is reduced by 30 minutes year-on-year.
National High-tech Enterprise
Sichuan High tech Enterprise
"Galileo Platform"Rapid Deployment
Implementation Team one-on-one
National Industrial Internet
Alliance Working Group Core unit
200+Intellectual Property
10Year IoT Technology Accumulation
200+Industrial Cooperation Cases
3000K Access Equipment