Kx FOR MANUFACTURING
Kx for Manufacturing is a high-performance, cost-effective sensor data historian and analytics platform for ingesting, processing, and analyzing real-time, streaming and historical data from industrial equipment sensors and enterprise systems. The platform is powered by Kx, the world’s fastest time-series database.
Kx is a single integrated software platform enabling quick, easy implementation and low total cost of ownership. It can be deployed on premises, in the cloud or as a hybrid configuration.
The ever-increasing number of connected devices, sensors and tags in the manufacturing process is creating a colossal amount of data for organizations to process, analyze and store. Most current manufacturing execution systems struggle with the bottlenecks which emanate from this new abundance of data. With its superior columnar-structured time-series database and q, its integrated query language, Kx enables you to scale anywhere from thousands to hundreds of millions of sensors, at any measurement frequency whilst maintaining extremely high levels of performance.
- Ingest and process 30 million sensor measurements per second
- Aggregate billions of measurement records in seconds.
- Store and analyze trillions of records.
- Scale both vertically and horizontally.
Kx for Manufacturing supports all sensor measurements, tags and attributes to all measurement frequencies at nanosecond precision. A comprehensive library of time-based aggregation function support analytics, reports and alerts on streaming and historical data. Accompanying HTML Dashboards provide rich visualization and query capabilities on results across multiple devices.
- Capture, analyze and store high frequency time-series data from thousands of sensors to compare with historical data for fault and anomaly detection.
- A comprehensive suite of graphical tools with powerful OLAP drill-down capabilities.
- Combine historical and real-time data to make decisions from multiple streams.
Use Kx for Manufacturing to analyze data from machines and entire plants to identify faults, predict potential failures, and plan maintenance to maximize up-time and throughput.
- Assess the performance of entire plants and machines in real-time and feed data into predictive and machine learning models.
- Support sensors generating measurements and events a few times to millions of times per second.
- Make data and analytics available to ERP and asset management systems.
Kx technology integrates with legacy systems and multiple data sources, allowing you to either augment or replace existing historians.
- A connector framework simplifies integration and coexistence with your existing manufacturing systems, including MES, ERP, and SPC.
- APIs for .NET, Java, C, C++, Python, R, ODBC, Matlab and Excel.
- Transition from your current historian to the world’s fastest time series database makes existing bottlenecks and latency issues a thing of the past.
Because of its small footprint Kx can be used to perform analytics at the point where data is collected by only collecting the data which has been determined to be useful by the tag or sensor.
- Kx can be installed on small appliances and Industrial IoT gateways.
- Complex Event Processing (CEP) can be performed on the data drawn in from sensors with sub-millisecond latencies.
- Data can be forwarded securely to a centralized location for consolidated analysis and situational awareness.