PlantSys Optimization
Optimize Production and Energy Use with Real-Time Data
Increase asset utilization, reduce energy waste, and improve operational efficiency.
Decisions regarding production, energy, and equipment performance are made in an environment where conditions are constantly changing. Loads fluctuate, energy demand varies, and processes evolve throughout the day. Without visibility into what happens next, decisions often become reactive rather than proactive.
PlantSys helps identify upcoming changes early and determine the best course of action to improve operational performance. With access to a real-time overview, historical data, and predictive models, decisions can be made proactively and at the right time.
How PlantSys Works
PlantSys integrates production, energy, and equipment data into a single system. Data is collected directly from automation systems, PLCs and other industrial data sources.
The solution uses real-time data, historical data, and predictive models to assess future process conditions. This makes it possible to evaluate different courses of action and select the option that best aligns with the objectives.
In many environments, the solution is first deployed as a decision support tool, providing forecasts and recommendations for operators. Once the optimization strategy has been validated, the solution can be integrated into automation and process control.
Typical use cases include:
- energy balance management
- energy production control
- equipment availability
- improving availability
- enhancing process stability
Optimization is based on the same data that can also be used for reporting. Reporting allows you to track actual performance, analyze long-term trends, and assess the impact of the measures taken. Read more about reporting.
Why PlantSys
PlantSys brings production, energy use, and equipment performance together into a single operational view. Changes in production, energy consumption, and process control constantly influence one another. By examining them as a single system, it is possible to identify more efficient operating methods and make better use of existing resources.
Key performance improvements include:
- improved utilization rates
- more consistent production
- lower energy losses
- fewer downtime incidents
- more efficient use of resources
- a more stable process and more consistent quality
The same operational view also supports Real-time Condition Monitoring by identifying changes that affect equipment availability before they impact production or cause disruptions.. Learn more about Real-time Condition Monitoring.
Real-time data, historical data, and predictive models support decisions based on the status of the entire process rather than on individual metrics.
The solution can be introduced in phases, starting with decision support and later expanding to automated process control. This ensures that the implementation remains manageable and that the initial benefits become apparent quickly.
Where to start
Most companies already have the data needed to improve production performance and energy use. The first step is to determine what information is available and where in the process the greatest opportunities lie.
When we review the current situation together, we can quickly identify where optimization will yield the greatest benefits and how best to implement the changes.
Even small changes can bring significant benefits when decision-making is based on up-to-date information and a proactive understanding of how the process works.