Acquiring data from all facets of a process and transforms that data into easily usable, high-value, widely distributed information.
Software solutions to help reduce risk and increase safety of plant operations through well-managed alarm systems.
Integrate big data to optimize plant data and develop optimal setpoint targets with real-time optimization.
Optimize manufacturing with software solutions to achieve real-time, model-based process control and optimization.
Remotely monitor field device performance and conditions to achieve proactive, predictive maintenance and less downtime.
Actively manage operational safety performance without compromising productivity, revenue, and cost.
Software solutions to improve asset and energy management and optimize production and inventory management.
Tools to reduce operator stress loading, enable smoother operational transitions, and allow increased scope of responsibility.
Extend the power of data historian with business and process data accessed and transferred to other management systems and interfaces.
A core element of the model-based mPower application suite, VisaOM (Movement Monitoring) is designed to track raw materials, feed-stocks and products through an entire plant for continuous and batch-based processes.
Power plant operators have been analyzing plant performance for many years using a variety of techniques. This information has typically been available to only a select number of users such as process engineers, leaving the broader community oblivious to this important information.
Planned production is often compromised by unplanned Downtime incidents and sub-optimal production rates that are not quantified in terms of Time, Rate Loss and the associated Reasons. Without this quantifiable information there is no way to consistently identify potential downtime causes and to assign activities to make the necessary improvements avoiding future lost production.
Yokogawa bietet secure Steuerungssystemprodukte.
mPower extends the power of Exaquantum to integrate business and process data in a production model to give you the validated information you need to optimize and maximize valuable production resources.
Präsenation auf der NAMUR Hauptsitzung 2016: "Silent quality changes" frühzeitig erkennen.
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