With growing uncertainty & volatility in a range of end markets, the chemical manufacturing need to increase production flexibility to manage costs and remain competitive. Digital technologies offer a path to improve plant capabilities & performance while minimizing costly capital expenditures.
Falkonry's Time Series AI Cloud helps chemical manufacturers utilize the existing production data and enable automated discovery of behaviors of interest. Without any prior data science expertise, your engineering and subject matter experts can identify, troubleshoot & address the production issues in a timely manner.
Avoid unplanned production disruptions
Boost asset reliability and product quality
Instantly discover batch deviations
Current methods do not predict compressor failure with enough lead time to avoid losses.
Discover, record and maintain patterns in operational data which predict compressor seal failures and other impairments.
Increase availability by lowering unscheduled downtime
Reduce maintenance costs through better scheduling.
Lab based quality checks result in long periods during which process may be out of control.
Use existing operational data to discover patterns indicative of low product quality. Diagnose root causes using pattern information.
Avoid losses from late detection of poor processing conditions.
Improve availability through faster time to problem resolution.
Current sensing approaches detect but do not adequately predict emissions violations.
Turnkey solution discovers novel patterns in operational data which precede unsafe operating conditions in order to act before problems occur.
Avoid fines from noncompliance events.
Prevent equipment damage and costs of unscheduled downtime.w
Using Falkonry time series AI, a chemical plant was able to predict failures and avoid downtime.
