EVIS delivers services to transform your data to information.

How is information technology and data mining in particular having an impact on the monitoring, control, and operation of large-scale industrial processes? Traditionally, control engineers have concentrated on system dynamics (seen especially as Linear Time-Invariant systems), measurement selection, and control structure and design. This ignores large quantities of data generated by plant sensing devices as a source of information for improved control and enhanced process monitoring. Data Mining to the rescue.

EVIS is using real industrial processes data to understand the plant operations through Intelligent Data Analysis and interpretation of the results. Based on analysis of the measured data, we can identify problems in current operations, causes of poor performance, and find solutions and opportunities to improve products and operating efficiently. Exploiting Data Mining techniques for analysis, representation, and feature extraction of real-time and historical operational data gives a deeper insight into the system behavior. We focus on process plant operational data interpretation, understanding

the dependencies which influence systems dynamics, noise and uncertainty, changing conditions, undetected senor failures, and uncalibrated and misplaced sensors. Based on intelligent analysis of the measured data, we can develop intelligent systems for process monitoring, control, and diagnosis.

Intelligent Process Control System for Quality Improvement

A process control system known as “shop floor control system” is the central part of a CIM (Computer Integrated Manufacturing) system needed for controlling the progress of the production in a shop floor. By analysing shop floor data, an intelligent process control system plans, schedules, monitors, and executes various control tasks.

Data Mining for Maintenance Data

Many systems nowadays generate failure logs, which may point out the cause of failure, as well as resolutions to the problem. In case the failure logs are lacking, a system engineer can often diagnose and correct the problem. Clearly, the experience of the system engineer is very relevant, and therefore it is best to analyse failure logs and service reports together in order to improve future designs (decrease MTBF) and resolve issues faster (decreate MTTR). We can help you develop such maintenance management systems.

For more information, please contact us.