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Showing posts from November, 2012

Energy Saving in Industrial Processes Using Modern Data Acquisition

One of the most effective industrial processes improving technologies are model predictive control, neuron networks, and soft sensors technologies. Technologically advanced manufacturing companies, which use innovative processes management and monitoring systems, achieve 20-30% lower production costs than those of similar plants in which such systems are not used. The idea of this work is to evaluate the potential of cognitive industrial processes management systems in order to optimize the company's activities in increasing energy efficiency and resource conservation. For this purpose are used advanced methods of data analysis and collection, monitoring, control systems. Process optimization contains following steps: Data aquision can be realized using different techniques. The most used method for data aquision is to use hardware sensors. This is the simplest way to monitor process if there is no any monitoring system. If data aquision system (example SCADA) is already insta