Ackumen MCA-i fosters actionable insights in solving wet-end stabilization issues for recycled packaging manufacturers
A well-matched AI pair—artificial intelligence and actionable insights—distinguishes Buckman’s new monochloramine (MCA) program for manufacturers of recycled packaging. Based on Buckman’s established and popular MCA, the all-new Ackumen™ MCA-i™ is a breakthrough chemical and digital solution that uses machine learning to achieve stabilization of the wet-end process in real time, dramatically improving performance and reducing overall chemical costs.
In an environment where it is not unusual to overspend by 20–30% for chemicals, MCA-i is designed to promote optimal dosing, combining best-in-class monochloramine chemistries with state-of-the-art sensing technology and cloud-based data analytics which are assessed by Buckman insights experts.
It has built-in maintenance and safety features that enhance uptime potential and can head off malfunctions that may result in costly downtime. It promotes a higher-quality end product. And it goes well beyond conventional sensors and digital applications that can be long on data and short on actionable insights.
24/7 Monitoring by Buckman’s Insights Lab
MCA-i’s sensor-controlled dosing is tied to production rates, grade changes, pH, ORP, chlorine residual, freshwater usage and other indicators. It enables broke health via a consistent dosage as well as modulated treatment based on different types of output. Optimal dosing leads to optimized chemical spend—neither too much nor too little.
The platform offers 24/7 monitoring and analysis by data scientists and engineers in Buckman’s Insights Lab. The lab experts deal with every occurrence or aberration, assessing each alarm and eliminating false alarms. Chemical engineers partner with data science experts on predictive analysis based on detected patterns that are invisible to the naked eye.
Critical insights are provided in a simple, easy-to-read format that offers actionable system visualization graphics, alarms and notifications via Ackumen™, Buckman’s remote process-monitoring system. Reports can be seamlessly accessed from a desktop or mobile device.
Insights reveal the detection of a pattern of anomalous behavior. The analysis of its root cause is given in measurable, rational terms along with a recommended course of action to resolve the issue. MCA-i gives manufacturers the power to see fouling patterns and corrosion, identify changes in product or water usage, detect process changes and more.
Accurate predictive modeling eliminates guesswork for those managing effluent and paper machine systems. This allows the manufacturer to increase process stability and efficiency as well as cleanliness.
Maintenance and Safety Covered
MCA-i also offers built-in maintenance and safety features. It includes probes and sensors that are equipped to indicate a machine’s hours in service. This enables the lab to track calibrations and overall health and create a service calendar for components to be cleaned, calibrated or replaced. Replacement parts are delivered automatically, eliminating downtime due to equipment breakdown or the need for extended maintenance.
MCA-i sets the industry bar high for safety. All unit alarms come right to your phone. And the system’s feed equipment is the only technology on the market with advanced safety features that include:
- Leak detection
- A built-in separator to keep neat chemicals apart in the case of a line break or other issue
- Automatic flushing of all application lines if power is lost
- Regular inspection by Buckman personnel to provide efficient, safe operation
MCA-i can help you stabilize your overall papermaking process and improve the quality and consistency of your effluent. You can boost performance from your functional chemistries and lower your total cost of operation while improving uptime and protecting your equipment. And you can improve the overall quality of your paper, increasing your yields and margin.
Learn more about Ackumen™ MCA-i™:
View the Web Page | Download the Ebook (PDF) | Watch the Video