M5-Platform

Intelligent cyber-physical platform for industrial automation and advanced process control

M5 is a cyber-physical platform for multi-level, multi-objective production optimization (Multi-Level, Multi-Goal Maximization, Minimization for Manufacturing). The solution leverages artificial intelligence and machine learning techniques to enable optimal and adaptive control of manufacturing processes.
М5 Modules

Multi-criteria optimization methods enable finding a balance between multiple objectives and making decisions that contribute to achieving strategic goals

The platform extends optimization methods to account for specific technologies and customer requirements. The use of predictive analytics and multi-criteria optimization enhances production efficiency, reduces costs, and improves operational performance.

Benefits M5  Platform

The cyber-physical platform enables companies to make real-time decisions based on data, forecasts, and optimal resource allocation, thereby increasing efficiency, reducing losses, and optimizing production processes.
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Improved product quality
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Energy savings
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Enhanced operational efficiency

AI-based Solution

The cyber-physical platform analyzes real-time and historical data to optimize energy consumption, increase productivity, and improve product quality.
Intelligent data preparation and data processing
Intelligent data preparation and data processing

Our platform enables comprehensive exploratory data analysis (EDA), including:

  • Identification of data structure and key characteristics ;
  • Detection of outliers and anomalies ;
  • Identification of relationships and correlations between variables ;
  • Preparation of data for subsequent analysis stages ;
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Energy source selection and efficient energy management
Energy source selection and efficient energy management

The proposed energy distribution solution is designed to supply the required amount of energy from available sources. The method enables real-time energy source selection, ensuring an effective balance between supply and demand.

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Forecasting and trend detection
Forecasting and trend detection

Effective forecasting is the process of predicting future events based on historical data, trend analysis, and the use of models adapted to a specific production environment.

Using artificial intelligence and machine learning methods, we provide a customizable platform tailored to each client’s data specifics. Our research and solutions are based on both classical approaches and advanced models, including specialized neural networks.

Our solution enables your team to accurately forecast industrial indicators in the short term (minutes to hours), medium term (days to weeks), and long term (months).

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Multi-objective optimization and improvement of production efficiency
Multi-objective optimization and improvement of production efficiency

The proposed software solution determines optimal control parameters to achieve extreme values of conflicting objective functions. Using advanced modern algorithms and artificial intelligence methods, we support decision-making through Pareto frontier construction based on operational data. This approach reduces uncertainty and improves production efficiency while ensuring operation within permissible limits.

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Our products
Advanced hierarchical multi-objective control for boiler-turbine systems
Advanced hierarchical multi-objective control for boiler-turbine systems

Our platform provides a sophisticated multi-objective optimization control system designed for high-performance industrial applications. By employing advanced control theory, we significantly improve the efficiency and response time of boiler-turbine systems, as demonstrated through our control strategy for a 160 MW boiler-turbine model.

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Intelligent boiler optimization
Intelligent boiler optimization

The «Energy source selection and efficient energy management» module helps balance steam generation and consumption across multiple boilers. It analyzes real-time and forecasted demand, as well as the operational characteristics of each boiler, to determine the most efficient operating configuration. When forecasted demand exceeds available capacity, it schedules the activation of an additional boiler while accounting for startup delay.

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Forecasting energy consumption of industrial technological processes
Forecasting energy consumption of industrial technological processes

Our platform provides energy consumption forecasts for a plant, where each workshop can have its own customized forecasting model. The interface allows managers and operators to gain a comprehensive view of the enterprise’s energy consumption and control it through a unified monitoring dashboard.

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Control of a 7-DOF robotic manipulator based on multi-objective optimization (MOO)
Control of a 7-DOF robotic manipulator based on multi-objective optimization (MOO)

Our platform uses multi-objective optimization (MOO) methods to control a seven-degree-of-freedom (7DOF) robotic manipulator. This approach ensures precise end-effector positioning by balancing multiple objectives, including cost minimization and transition speed maximization.

With MOO, users achieve high efficiency and optimal control, performing complex tasks with increased accuracy and performance.

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