Industrial digitalization can involve many hardware, software and networking technologies, including these five.
Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.
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Those who delay a DCS migration risk loss of uptime and reliability and have difficulty applying incremental improvements. Also, related controls and instrumentation upgrades incompatible with legacy equipment.
Calculating financial benefits and proving the return on investment (ROI) is critical when developing a smart manufacturing project.
Compressor stations often employ automated valves activated using pressurized natural gas, requiring improved actuator designs to eliminate emissions.