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Process optimization software allows rapid setup, cost savings

By Chemical Engineering |

New industrial process-optimization software can be fully operational in seven days — months ahead of existing predictive monitoring systems, according to Slipstream Software (Alpharetta, Ga.; www.slipstreamrpm.com). The company’s proprietary data-modeling tools are responsible for the reduced setup time. By mining process history information, and collecting data from sensors installed in the process stream, Slipstream software “dynamically reads, models and auto-corrects customer recipes,” the company says. The process optimization software can be used in wet processes (using infrared spectroscopy as the basis for the sensors) or dry (using characteristic sound vibrations) and is designed to interface with a plant’s distributed control (DCS) or supervisory control and data acquisition (SCADA) system. Designed for industrial processes with recipe requirements that need constant correction, the software reduces out-of-specification product and improves process efficiency. Companies can realize a 1–5% increase in efficiency, which, in a typical chemical plant, could mean a few million dollars of savings annually, explains company CEO Gary Hopkins. In addition, predictive process systems can take four…
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