Artificial intelligence for industrial processes
Turn your process data into better operational decisions.
Your control systems generate data continuously. Sensors, PLCs, DCSs, and other systems capture what is happening throughout your process every second. But that data can do much more than show you what is happening.
Process Optimization
Predictive Analytics
Virtual Sensors
Intelligent Control
Control IMS integrates artificial intelligence with your existing control systems to put your operational data to work—anticipating process behavior, detecting anomalies, estimating variables, and optimizing industrial processes.
From reducing unnecessary equipment cycling and resource consumption to anticipating conditions that can lead to process disruptions, AI can turn process data into actionable intelligence that creates measurable operational value.
Your data is already there. Now put it to work.
In many industrial operations, process data is primarily used to monitor conditions, maintain historical records, generate alarms, or react after something has already changed.
Artificial intelligence takes that data a step further.
AI models can analyze multiple variables simultaneously, identify relationships and patterns in process behavior, and use that information to anticipate changing conditions, detect deviations, and identify better ways to operate.
Anticipate
Identify trends and changing process conditions before they impact your operation.
Detect
Recognize abnormal behavior that may indicate inefficiencies, deviations, or conditions that require attention.
Optimize
Analyze multiple variables to improve process performance, stability, and efficiency.
Estimate
Use available process data to estimate variables that are difficult, slow, or costly to measure directly.
Where can AI create value in your operation?
AI should not be implemented simply because the technology is available.
The opportunity is to identify processes where existing data can solve a problem, improve performance, or uncover opportunities that conventional approaches may not fully capture.
Here are some potential applications:
Compressors & refrigeration
Reduce unnecessary cycling and energy consumption
AI models can anticipate process behavior and optimize compressor operating cycles to maintain required conditions while using energy more efficiently.
The result can be more stable operation, lower energy consumption, and reduced equipment wear.
Valves & process control
Improve process stability while reducing unnecessary valve movement
When valves are constantly changing position in response to process variations, AI models can analyze multiple process conditions and anticipate the control actions needed.
This can help maintain a more stable process while reducing unnecessary movement of final control elements.
Resource consumption optimization
Use process data to identify more efficient operating conditions
Energy, gases, water, raw materials, and other resources can represent a significant portion of industrial operating costs.
AI can analyze the variables affecting the process simultaneously to identify operating conditions that use these resources more efficiently without compromising operational objectives.
Plugging & anomaly detection
Identify developing conditions before they become process disruptions
In many processes, an abnormal condition is not identified until the problem has already occurred.
AI models can analyze process variables, trends, and patterns to recognize conditions associated with plugging, deviations, or other events before they occur.
This provides an opportunity to intervene earlier and reduce their potential impact on the operation.
You don't need to replace your control system
AI works alongside your existing control infrastructure
Adding artificial intelligence does not mean replacing the PLCs, DCSs, or other systems currently controlling your process.
Control IMS integrates AI with your existing infrastructure, uses the process data already available, and can bring model-driven decisions into the process when the application requires it.
PLC / DCS
PROCESS DATA
IA
OPTIMIZED CONTROL ACTIONS
PLC / DCS
✓ Works alongside existing PLC and DCS systems
✓ Can operate on-premises with no required Internet connection
✓ Integrates through industrial communication protocols
✓ Your existing control system remains available
✓ The level of integration is defined for each application
From process data to action
The level of AI integration depends on what your process needs
Not every application requires AI to directly control the process.
Depending on the objective, Control IMS can implement different levels of integration:
Monitor
Collect and analyze relevant variables to better understand process behavior.
Detect
Identify abnormal behavior and conditions that require attention.
Predict
Anticipate future variables, events, or operating conditions using available process data.
Recommend
Use AI models to identify actions that can improve process performance and support better operational decisions.
Control
When appropriate for the application, integrate model-driven decisions with existing control systems to act directly on the process.
This approach allows us to select the appropriate level of integration for each application while keeping your existing control infrastructure as part of the solution.
Industrial AI focused on real results
The technology matters. The results matter more.
Industrial artificial intelligence has already been applied to real-world processes to improve efficiency, stability, resource consumption, and equipment performance.
Results achieved in industrial applications using the technology integrated by Control IMS include:
20 - 26%
Energy savings in refrigeration applications.
80%
Fewer compressor cycles.
15%
Reduction in hydrogen consumption in a hydrotreating application.
80%
Reduction in control error in a flotation application.
+10%
Increase in throughput in a material-handling application, along with a reduction in plugging events to near zero.
These results were achieved in specific industrial applications and are not guaranteed for other installations. Each process and application must be evaluated individually.
A solution built around your process
We don’t start with AI. We start with the problem you want to solve.
Every operation is different. Before discussing models or algorithms, we need to understand what you want to improve and what information your process already generates.
Identify the opportunity
We begin by understanding the process, the problem, your operational objectives, and the result you want to improve.
Evaluate the data
We review available process variables, historical data, instrumentation, and control systems to determine whether the information needed for the application is available.
Develop & validate
We develop the models and validate their performance using actual process data.
Integrated
We implement the solution alongside your existing infrastructure at the appropriate level of integration for the application.
Measure results
We compare performance and quantify the operational value generated by the solution.
Is your process a good candidate for AI?
There may be an opportunity to apply artificial intelligence if your operation has:
- Process variations that are difficult to control.
- Equipment or valves that cycle or move excessively.
- Opportunities to optimize the consumption of energy, gases, water, or other resources.
- Problems that are typically detected only after they occur.
- Important variables that are difficult or expensive to measure.
- Large amounts of historical data that are primarily used for visualization or after-the-fact analysis.
- Processes with multiple interacting variables where identifying the best operating conditions is difficult.
You don’t need to know whether AI is the right solution. That’s what the evaluation is for.
Could your process perform better?
Tell us what you want to improve.
Control IMS can help evaluate your process, identify opportunities, and determine whether the data you already have can be used to improve efficiency, stability, and operational reliability.
Follow us:
CONTACT INFORMATION
Office: 12706 59th Way North
Clearwater, Florida 33760
Phone: (+1) 727 371 2800/01
Email: sales@controlims.com
CONTACT US
We are ready to help you find the right solution for your operation. Leave your information and our team will contact you.
© Control IMS LLC. All rights reserved. The content of this website is the property of Control IMS LLC.
Control IMS provides fuel management, automation, and operational intelligence solutions, turning data into control.