The essence of Calejo Optimize™
Calejo Optimize™ is an optimization engine for industrial processes. It's a new way of modeling and helping the industry to manage, structure, analyze, simulate, optimize and control the overall data and knowledge flows from its processes.
Patented
Mixed neural network and physical equations in any combination
Non-linear models
Handles complex non-linear industrial processes
DAE compatible and more scalable than other solutions
Differential-algebraic equation compatible
Variable time-step solving
Adaptive solving for efficient computation
Faster optimization than reinforcement learning
Optimizes faster than traditional approaches
Easily deployable in edge devices, cloud and personal computers
Flexible deployment options
Learn how others use Calejo Optimize™
Successful operational optimization of wastewater in Kungälv municipality
Read case study →More efficient simulation of water flows in Uniper´s hydropower plants
Read case study →Successful test of AI-model for energy optimization in SCA Obbola
Read case study →Successful gray box modeling at Boliden Aitik
Read case study →Implementation in four stages
During a joint workshop on-site with the customer, the functions and data flows of the current process are mapped to obtain consensus around boundaries and what effect goals the use of Calejo Optimize will achieve.
Stage 1. The creation of a digital twin.
- •Process mapping.
- •Data verification based on measuring points, quality and quantity.
- •Modeling a digital twin over the process.
- •Training the digital twin.
- •Verification of the digital twin against the actual process.
Stage 2. Optimization of the process based on given power goals.
Priorities and rules for optimization are developed. Calejo Optimize can optimize processes based on more than one effect target. A mutual priority between the goals must thus be created. Other process critical boundaries and rules must also be defined. The system is optimized on the basis of given conditions.
Stage 3. Interface for operators.
Together with selected operators, the interface between Calejo Optimize and the operators is adapted so that the instructions' designations and nomenclature correspond with the other operator environment.
Stage 4. Verification and final delivery of the implementation.
- •Operator support is being rigorously tested by Calejo's staff to verify the implementation.
- •Training of operators and others concerned with the use of Calejo Optimize.
- •Commissioning of Calejo Optimize.
Frequently asked questions
How does Calejo Optimize work?
Together with the customer, we collect, wash and analyze important input data from the process, after which we create a so-called digital twin. Our digital twin is a hybrid solution, which can be based on both traditional physical calculation and what we usually call AI, that is, the connection between data.
With the help of the digital twin, real-time data from the process control system and production planning, the operator can get suggestions on how process parameters should be adjusted to achieve an optimal and sustainable total production.
The solution can most easily be compared to the type of navigation system used in cars. The navigation system relates to existing conditions and existing traffic or process environment. But it can also take into account external and more varied factors and temporary deviations, such as maintenance work, queues and disturbances in connection with the car or as in this case the process navigator's route suggestions. It can also suggest an update of the route during the journey.
In the next step, the digital twin can also be used to train, simulate, optimize and ultimately also control an autonomous industry.
Calejo Optimize 1.0 is based on Open Modelica. The different parts of the model are linked to the database. In the library there are unique AI blocks to be used. The result is presented in existing program dashboards, SCADA systems etc. or in a separate instrument panel, which is part of Calejo Optimize. The system can collect data from all modern platforms and systems. Ie IoT platforms, Azure, Siemens, ABB, SAP, SQL, Oracle, Maximo, etc.
What is Calejo Optimize?
Calejo Optimize is an optimization engine for industrial processes. It represents a whole new way of modelling and helping the industry to manage, structure, analyze, simulate, optimize and control the overall data and knowledge flows from its processes. Calejo Optimize has been developed based on the latest scientific findings and represents the unique result of 15+ years of experience from various international AI projects.